Daniel Miessler's Blog, page 9

July 8, 2024

RAID (Real World AI Definitions)

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I see a lot of definitions of different AI terms out there and I wanted to put my own thoughts into a long-form format. This is mostly for my own reference, but I hope it’ll be useful to others as well.

Table of Contents

The One-Liner AI Definitions Table

Expanded Definitions Table

AI

Machine Learning

Prompt Engineering (Prompting)

Retrieval Augmented Generation (RAG)

Prompt Engineering

Chain-of-Thought

Prompt Injection

Jailbreaking

Artificial General Intelligence (AGI)

AGI 1 — Better, But With Significant Drawbacks

AGI 2 — Competent, But Imperfect

AGI 3 — Full Worker Replacement

Artificial Super-Intelligence (ASI)

Primary Axes

Secondary Axes

ASI 1 — Superior

ASI 2 — Dominant

ASI 3 — Godlike

Summary

Notes

Some of these are practical definitions, i.e., useful, general, and conversational containers that help us frame an everyday conversation. Others are more technical with specific thresholds, which are better for tracking milestones towards big jumps.

The One-Liner AI Definitions Table

I really liked Hamel Husain’s AI Bullshit Knife that gave violently short definitions for a bunch of AI terms. Here’s my own, expanded take on it.

AI — Tech that does cognitive tasks that only humans could do before

Machine Learning — AI that can improve just by seeing more data

Prompting: Clearly articulate what you want from an AI

RAG: Provide context to AI that’s too big/expensive to fit in a prompt

Agent: An AI component that does more than just LLM call→respond

Chain-of-Thought: Tell the AI to walk through its thinking and steps

Zero-shot: Ask an AI to do something without any examples

Multi-shot: Ask an AI to do something and provide multiple examples

Prompt Injection: Tricking an AI into doing something bad

Jailbreaking: Bypassing security controls to get full execution ability

AGI — General AI smart enough to replace an $80K white-collar worker

ASI — General AI that’s smarter and/or more capable than any human

I think that’s a pretty clean list for thinking about the concepts. Now let’s expand on each of them.

Expanded Definitions Table

We’ll start with an expanded definition and then go into more detail and discussion.

AI

There are so many different ways to define AI, so this is likely to be one of the most controversial. I choose the “what used to only be possible with humans” route because it emphasizes how the bar continues to move not only as the tech advances, but also as people adjust their expectations. The general template for this rolling window is this:


Well, yeah, of course AI can do ___________, but it still can’t do __________ and probably never will.

(Narrator: And then that happened 7 months later)

I like this definition over a lot of the more technical ones because they’re usually so granular and specific, and it’s hard to get any large group of experts to agree on them.

Machine Learning

I know there are a million technical definitions for machine learning, but back in 2017 when I started studying it the thing that floored me was very simple.

Learning from data alone.

That’s it. It’s the idea that a thing—that we created—could get smarter not from us improving its programming, but from it just seeing more data. That’s insane to me, and to me it’s still the best definition.

Prompt Engineering (Prompting)

Some people think Prompt Engineering is so unique and special it needs its own curriculum in school. Others think it’s just communication, and isn’t that special at all.

I’ll take a different line and say prompt engineering is absolutely an art—and a science—because it’s more about clear thinking than the text itself.

Just like writing, the hard part isn’t the writing, but the thinking that must be done beforehand for the writing to be good.

The best Prompt Engineering is the same. It comes from deeply understanding the problem and being able to break out your instructions to the AI in a very methodical and clear way.

You can say that’s communication, which it is, but I think the most important component is clear thinking. And shoutout to our open source project Fabric that takes this whole thinking/writing thing very seriously in its crowdsourced prompts.

Retrieval Augmented Generation (RAG)

It’s important to understand that RAG is a hack that solves a specific problem, i.e., that people and companies have vast amounts (gigabytes, terabytes, or petabytes) of data that they want their AI to be aware of when performing tasks. The problem is that AI can only practically handle small amounts of that data per interaction—either because of the size of the context window, or because of cost.

So the solution we’ve come up with is to use embeddings and vector databases to encode relevant information, and then to include small amounts of relevant context from that data in AI queries at runtime. Sending context-specific embeddings rather than the raw content makes the queries much faster and more efficient than if all the content itself was sent.

It’s not clear yet what the successor will be for this, but one option is to add more content directly into prompts as the context windows increase and inference costs go down.

Agents

This one will be one of the most contested of these definitions because people are pretty religious about what they think an agent is. Some think it’s anything that does function calls. Others think it’s anything that does tool use. Others think it means live data lookups.

I think we should abstract away from those specifics a bit, because they’re so likely to change. That leaves us with a definition that means something like, “taking on more work in a way that a human helper might do”. So looking things up, calling tools, whatever.

The trick is to remember the etymology here, which is the Latin “agens”, which is “to do”, “to act”, or “to drive”. So ultimately I think the definition will evolve to being more like,

Perhaps that’ll be the definition in the 2.0 version of this guide, but for now I think AI Agent has a lower standard, which is anything that acts on behalf of the mission, i.e., something that performs multiple steps towards the final goal.

And like we said, practically, that means things like function calls, tool usage, and live data search.

Chain-of-Thought

To me, Chain-of-Thought is an example of what we talked about in Prompt Engineering. Namely—clear thinking. Chain-of-Thought is walking the AI through how you, um, think when you’re solving the problem yourself. I mean, the clue is in the title.

Again, I see prompting is articulated thinking, and CoT is just a way of explicitly doing that. I just natively do this now with my preferred prompt template, and don’t even think of it as CoT anymore.

Prompt Injection

People often confused Prompt Injection and Jailbreaking, and I think the best way to think about this (thanks to Jason Haddix for talking through this and sharing his definition) is to say that:

Prompt Injection is a METHOD

Jailbreaking is a GOAL

Or, more precisely, Prompt Injection is a method of tricking AI into doing something, and that something could be lots of things:

Getting full/admin access to the AI (Jailbreaking)

Getting the AI to take unauthorized / dangerous actions

Stealing data from backend systems

Etc.

Jailbreaking, on the other hand, is the act of trying to get to a Jailbroken State. And that jailbroken state is one in which as much security as possible is disabled and you have the ability to interact with the system (in this case an AI) will maximum possible permissions.

Jailbreaking

Jailbreaking is a broader security term that applies mostly to operating systems, but that happens to also apply to LLMs and other types of AI systems.

Generically, Jailbreaking means getting to a security-bypassed state. So imagine that an operating system, or an AI system, is a very powerful thing, and that we want to ensure that users of such a system can only do certain things and not others.

Security is put in place to ensure they can’t interact with certain OS functions, data from other users, etc., and that ensures that the system can be used safely.

Jailbreaking is where you break out of that protection and get full control of the thing—whatever that thing is.

Artificial General Intelligence (AGI)

In other words, this is AI that’s not just competent at doing a specific thing (often called narrow AI), but many different things—hence, general. So basically it’s some combination of sufficiently general and sufficiently competent.

The amounts of each, well…that’s where most of the debate is. And that’s why I’ve settled on the definition above. Here are a few more technical details that should be mentioned as necessary for my definition of AGI:

This AGI should be generally competent at many other cognitive tasks as well—given similar training—to roughly equal the skill level of such a knowledge worker. For example, this AGI should be able to learn spreadsheets, or how to do accounting stuff, or how to manage a budget, even if they were originally trained to do cybersecurity assessments. In other words, the general part of AGI is important here, and such a system needs to have some significant degree of flexibility.

The system should be sample efficient (learning from few examples) at about the same level as the 80K employee, recognizing that it’ll be much better and somewhat worse than a human in different areas.

The system should be able to apply new information, concepts, and skills it learns to additional new problems it hasn’t seen before, which is called generalization (again, AGI). So, if we teach it how to do budgets for a skateboarding company, we shouldn’t need to teach it to do budgets or something similar for other types of companies. So it’s not just general in its out-of-the-box capabilities but also in the new things it learns.

I like this definition because it focuses on what I would argue most humans actually care about in all this AI discussion, which is the future of humans in a world of AI. Regular people don’t care about processing speed, or agents, or model weights. What they care about is if and when any of this is going to tangibly affect them.

And that means job replacement.

So here are the levels I see within AGI—again, with the focus on replacing a decent white-collar worker.

AGI 1 — Better, But With Significant Drawbacks

This level doesn’t yet function completely like an employee, but it is right above the bar of being a worker replacement. You have to specifically give it tasks through its preferred interface using somewhat product specific language. It frequently needs to be helped back on track with tasks because it gets confused or lost. And it needs significant retooling to be given a completely different mission or goals.

Characteristics:

Interface (web/app/UI): proprietary, cumbersome

Language (natural/prompting/etc): somewhat specific to product

Confusion (focus): human refocus frequently needed

Errors (mistakes): frequent mistakes that need to be fixed by humans

Flexibility: needs to be largely retooled to do new missions or goals and given a basic plan

Discussion: A big part of the issue of this level is that real work environments are messy. There are a million tools, things are changing all the time, and if you have an AI running around creating bad documents, or saying the wrong thing at the wrong time, or oversharing something, causing security problems, etc.—then that’s a lot of extra work being added to the humans managing it.

So the trick to AGI 1 is that it needs to be right above the bar of being worth it. So it’ll likely still be kludgy, but it can’t be so much so that it’s not even worth having it.

AGI 2 — Competent, But Imperfect

This level is pretty close to a human employee in terms of not making major mistakes, but it’s still not fully integrated into the team like a human worker is. For example you can’t call it or text it like you can a human. It still sometimes needs to explicitly be told when context changes. And it still needs some help when the mission or goals change completely.

Characteristics:

Interface (web/app/UI): mostly normal employee workflows (standard enterprise apps)

Language (natural/prompting/etc): mostly human, with exceptions

Confusion (focus): it doesn’t get confused very often

Errors (mistakes): fewer mistakes, and less damaging

Flexibility: adjusts decently well to new direction from leaders, with occasional re-iteration needed

Discussion: At this level, most of the acute problems of AGI 1 have been addressed, and this AI worker is more clearly better than an average human worker from an ROI standpoint. But there are still issues. There is still some management needed that’s different/above what a human needs, such as re-establishing goals, keeping them on track, ensuring they’re not messing things up, etc.

So AGI 2 is getting closer to an ideal replacement of a human knowledge worker, but it’s not quite there.

AGI 3 — Full Worker Replacement

This level is a full replacement for an average knowledge working in the US—before AI. So let’s say a knowledge worker making $80,000 USD in 2022. At this level, the AI system functions nearly identically to a human in terms of interaction, so you can text them, they join meetings, they send status updates, they get performance reviews, etc.

Characteristics:

Interface (web/app/UI): just like any human employee, so text, voice, video, etc., all using natural language

Language (natural/prompting/etc): exactly like any other human employee

Confusion (focus): confused the same amount (or less than) the 80K employee

Errors (mistakes): same (or fewer) mistakes as an 80K employee

Flexibility: just as flexible (or more) than an 80K employee

Discussion: At this level the AI functions pretty much exactly like a human employee, except far more consistent and with results at least as good as their human counterpart.

Artificial Super-Intelligence (ASI)

This concept and definition is interesting for a number of reasons. First, it’s a threshold that sits above AGI, and people don’t even agree on that definition. Second, it has—at least as I’m defining it—a massive range. Third, it blends with AGI, because AGI really just means general + competent, which ASI will be as well.

My preferred mental model is an AI that’s smarter than John Von Neumann, who a lot of people consider the smartest person to ever live. I particularly like him as the example because Einstein and Newton were fairly limited in focus, while Von Neumann moved science forward in Game Theory, Physics, Computing, and many other fields. I.e., a brilliant generalist.

But I don’t think being smarter than any human is enough to capture the impact of ASI. It’s a necessary quality of superintelligence, but not nearly enough.

I think ASI—like AGI—should be discussed and rated within a human-centric frame, i.e., what types of things it will be able to do and how those things might affect humans and the world we live in. Here are my axes:

Primary Axes

Model (abstractions of reality)

Fundamental

Quantum

Physics

Biology

Psychology

Society

Economics

etc.

Action (the actions it’s able to take) 

Perceive

Understand

Improve

Solve

Create

Destroy

Secondary Axes

Field (human focus areas)

Physics

Biology

Engineering

Medicine

Material Science

Art

Music

etc.

Problems (known issues)

Aging

War

Famine

Disease

Hatred

Racism

Scale (things)

Quark

Atom

Molecule

Chemical

Cell

Organ

Body

Restaurant

Company

City

Country

Planet

Galaxy

etc.

So the idea is to turn these into functional phrases that convey the scope of a given AI’s capabilities, e.g.,

An AI able of curing aging by creating new chemicals that affect DNA.

An AI capable of managing a city by monitoring and adjusting all public resources in realtime.

An AI capable of taking over a country by manufacturing a drone army and new energy-based weaponry.

An AI capable of faster-than-light travel by discovering completely new physics.

Etc.

With that type of paradigm in mind, let’s define three levels.

ASI 1 — Superior

➡️ Smarter and more capable than any human on many topics/tasks

➡️ Able to move progress forward in multiple scientific fields

➡️ Able to recommend novel solutions to many of our main problems

➡️ Able to copy and surpass the creativity of many top artists

➡️ Able to fully manage a large company or city itself

❌Unable to create net-new physics, materials, etc.

❌Unable to fundamentally improve itself by orders of magnitude

ASI 2 — Dominant

➡️ All of ASI 1

✅ Able to completely change how we see multiple fields

✅ Able to completely solve most of our current problems

✅ Able to fully manage a country by itself

✅ Able to fundamentally improve itself by orders of magnitude

❌Unable to create net-new physics, materials, etc.

❌Unable to run an entire planet

ASI 3 — Godlike

➡️ All of ASI 2

✅ Able to modify reality at a fundamental or near-fundamental level

✅ Able to manage the entire planet simultaneously

✅ Its primary concerns perhaps become sun expansion, populating the galaxy and beyond, and the heat death of the universe (reality escape)

Summary

AI terms are confusing, and it’s nice to have simple, practical versions.

It’s useful to crystalize your own definitions on paper, both for your own reference and to see if your definitions are consistent with each other.

I think AI definitions work best when they’re human-focused and practically worded. What we lose in precision can be handled and debated elsewhere, and what we gain is the ability to have everyday conversations about AI's implications for what matters—which is us.

Notes

Thanks to Jason Haddix and Joseph Thacker for reading versions of this as it was being created, and giving feedback on the definitions.

Hamel Husain has a good post on cutting through AI fluff called The AI Bullshit Knife, where he lays out his own super-short definitions. It’s quite good. X THREAD

Harrison Chase also has a model called Levels of Autonomy in LLM Applications. LANGCHAIN

I will keep these definitions updated, but I’ll put change notes down here in this section for documentation purposes.

The distinction between AGI and ASI is complex, and contested, and I’m still thinking through it. But essentially, I’m thinking of AGI in terms of human work replacement and ASI in terms of capabilities and scale.

This resource is part of what I’ve been doing since 1999, which is writing my own tutorials/definitions of things as a Feynmanian approach to learning. Basically, if you want to see if you know something, try to explain it.


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Published on July 08, 2024 10:01

July 1, 2024

UL NO. 439: Humans vs. AI in Prediction Markets

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SECURITY | AI | MEANING :: Unsupervised Learning is my continuous stream of original ideas, analysis, tooling, and mental models designed to help humans thrive in a world full of AI.

TOC

NOTES

MY WORK

STORIES

IDEAS

DISCOVERY

RECOMMENDATION OF THE WEEK

APHORISM OF THE WEEK

NOTES

Heads-down on talks and courses and essays and video content. Feels good to have lots of ideas, but bad to be behind.

Matt Williams put out a quality introduction to Fabric on his YouTube channel. 🫶🏻YOUTUBE

!!! 📚Updated AUGMENTED v2 Course Outline !!!

Okay, here's an update on AUGMENTED V2—it’s now significantly better than the first version. The original plan was a big refresh, which would have been awesome, but over the last week it’s morphed into something else.

Expansion to 4+ hours vs. 3 for V1.

A whole section on augmenting AI with your personal context

A full section on building your own work/life workflows

A full section on Obsidian integration

Extensive training on—and use of—Fabric throughout

Far more examples of patterns and workflows

A more cohesive “philosophical —> technical” flow of the course

Adding more over the next two weeks…

My next couple weeks are tasked just to making this class better. Can’t wait.

👉 LOCK IN YOUR SLOT

🧠CHEAT CODE—become a UL member to get $250 off AUGMENTED V2. 

👉 BECOME A MEMBER AND GET THE DISCOUNT

Ok, let’s get to it…

MY WORK

I think I cracked Trump’s popularity, and unless the DNC does the same, we’re probably heading for Trump 2.

How the Far-left Will Elect Trump in November 2024


I think I finally figured out the energy source for Trump's inexplicable popularity…


danielmiessler.com/p/farleft-will-elect-trump-november-2024

STORIES

🚨There's a new zero-day in OpenSSH that allows remote code execution as root on glibc-based Linux systems. It’s not super clear which SSH stacks are affected yet, but we do know that it takes some time to exploit—at least on the Morning of July 1st. Make sure you’re aware of your SSH exposure and check the resources for your stack. QUALYS

🚨There's a full 10.0 critical vulnerability in Juniper Networks routers that allows attackers to bypass authentication and take full control. | CVSS 10.0 | THEREGISTER

The Snowflake breach is expanding with over 165 victims, including Ticketek and Advance Auto Parts. A hacker from ShinyHunters claims they accessed Snowflake via third-party contractors. THEREGISTER 

As part of the Snowflake incident, Santander's US branch is notifying over 12,000 employees that their personal info was compromised in a third-party breach. SECURITYWEEK

RedJuliett, a Chinese state-sponsored group, has been exploiting network edge devices to target Taiwanese government, academic, technology, and diplomatic organizations. RECORDEDFUTURE 

Sponsor

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"It's unlocking new use cases for us.” - Allen Cox, Senior Director of Security and IT, MyFitnessPal

“In terms of what you can build with it, the limit is your imagination.” - Kyle McGaley, Senior Security Engineer, Udemy

 tines.com/community-edition

Try It FREE

Remember the R1 AI device? Well, all R1 responses ever given can be downloaded. Nightmare fuel, basically. Anything you got back from your “personal” AI device, now visible to whomever. | RABBITU 

💡This is exactly what most security experts (including me) predicted with regard to AI and security. Specifically, AI startups and security.

Startups generally run with scissors, and AI startups run extra fast with extra scissors.

And if you think THIS is bad, wait until the Digital Assistant (DA) companies start popping up, and everyone is uploading their personal context to these startups. Traumas, journals, personal conversations, etc.

When those startups get breached, it’s going to be way worse.

It won’t stop DAs or AI from moving forward, mind you, because the benefits will be too powerful. But it’ll be nasty.

Here’s the AI Attack Surface as I see it:

Click for full size

Russian hacking group APT29, also known as Cozy Bear, breached TeamViewer's corporate IT environment. THERECORD 

💡This is why I’ve slowly over the years migrated to a very simple stance on security tooling (or really any core tooling):

Use the official offerings from the big companies whenever possible.

Why?

They have giant security teams

They have giant security budgets

They have a LOT to lose in terms of PR and market share

In short, I only want to trust my data to companies that have both the incentive AND the resources to protect it, and those tend to be the big players like Microsoft, Google, Apple, etc.

You obviously can’t do that for all tooling, but it’s my preference when the option is available.

Chinese hackers are now using ransomware as a cover for cyberespionage, making it harder to attribute attacks. | CYBERSCOOP 

Perplexity AI is under fire for allegedly stealing content from publishers and bypassing web scraping protocols. | by Cassandra Cassidy | MORNING BREW 

Metaculus is launching a series of quarterly tournaments to benchmark AI forecasting against human forecasting on real-world questions, with $120,000 in prizes. | METACULUS 

💡Ok this is spectacular. It’s becoming my new obsession.

RIGOROUS PREDICTIONS.

Basically, there are groups (including this Metaculus one) where people make specific predictions, and they track their success rates. So it’s not just feels; it’s real results and looking back to see how people did.

Well, THIS project is now having AI compete against humans on this!

I cannot wait to watch this field progress. NOTE: If you want to get into this world, go read SUPERFORECASTING. It’s the book that got me started in all this.

Researchers at UC Santa Cruz have figured out how to run billion-parameter-scale LLMs on just 13 watts of power, about 50 times more efficient than current data center GPUs. They achieved this by removing matrix multiplication from the LLM training and inference processes. | TOMSHARDWARE 

💡This is what I call “slack in the rope”, and what Leopold Aschenbrenner calls removing “hobbling”. And it’s why I think we’re at like 1% (or way less) of our potential for neural nets and LLMs.

To me, the game is: SCALE X ALGO X TRICKS

Where “tricks” are finding this slack in the rope, which can potentially massively improve the algorithms or advantages from scale.

Leopold’s SITUATIONAL AWARENESS has the best long-form discussion of all this.

Businesses are desperate for AI guidance, and big consulting firms are stepping in to help. McKinsey says generative AI will be 40% of its business this year, and IBM's consultants have secured $1 billion in AI sales commitments. | by Matty Merritt | MORNING BREW 

💡What have we been saying? 40% of McKinsey’s business!

And this stuff all started like 3 days ago, basically. 18 months is a blink of an eye. Now ask what percentage of their business is crypto-related.

Alibaba's Qwen models take three top spots on Hugging Face, while major US competitors lag behind. The new leaderboard tests models on tasks like solving 1,000-word murder mysteries and high-school math equations. | TOMSHARDWARE 

💡This is disturbing. AI and drone tech are two places we need to beat China.

People in high-income democracies are increasingly dissatisfied with how democracy is working. Since 2021, satisfaction has dropped significantly in countries like Canada, Germany, Greece, South Korea, the UK, and the US. | by Pew Research Center | PEWRESEARCH 

🔥 This is fine.

A study showed that loneliness in midlife is linked to believing in conspiracy theories. | NATURE 

IDEAS

If I designed an education curriculum, one of the main themes would be hard work → easy life, and laziness → hard life. And the concept of resilience. Honestly I would focus a lot on the Stoics, but these themes are the biggest for me. X

DISCOVERY

Project Naptime — Google's new AI framework for vulnerability research lets humans "take regular naps" while it mimics human security researchers. It uses tools like a Code Browser, Python sandbox, and Debugger to improve automated discovery of vulnerabilities. | THEHACKERNEWS

💡These frameworks just keep getting better. Here’s what I think you should expect:

Remember when we saw Will Smith eating spaghetti like a year ago, and it was horrible? Well, now it looks almost realistic.

The same will happen with hacking frameworks, but I think that last 5% of skill at the top will take longer to break into for AI because it’s so heavy on human creativity.

But getting to 90-95% of what an average manual tester does in the next 2 years will be massive.

These frameworks will be used by all attackers and defenders, and the window between new vulnerabilities and either exploitation or mitigation will shorten dramatically.

Extending Burp Suite for Fun and Profit — This guide shows you how to extend Burp Suite using Montoya's methods. | by Federico Dotta | HUMANATIVASPA 

ElevenLabs Text to Audio — ElevenLabs has launched an iOS app that converts any text into audio narration using AI. These voices are basically perfect, including the timing. Insanely good. | by ElevenLabs | VENTUREBEAT 

Claude Projects — A new feature in Claude is Anthropic’s answer to Assistants. | ANTHROPIC 

Dappier — A new platform where publishers can set a price for using their content in model training. | by Dappier | TECHCRUNCH 

A Better Paradise — Absurd Ventures' new podcast "A Better Paradise" aims to elevate a fictional episodic series with a billionaire leading the world toward a digital dystopia in 2040. | by Absurd Ventures | A BETTER PARADISE 

RECOMMENDATION OF THE WEEK

A soon as you get a chance, go for a ride in a Waymo in San Francisco. They’re now open to everyone. It’s a remarkable experience—especially the first few times.

Try it out, and watch the screen in the vehicle. Those are all the things it’s tracking while never texting, looking at its phone, or daydreaming.

APHORISM OF THE WEEK

Hey there,

You should become a UL member. Here’s what you get:

Entry into the best online community I’ve ever been a part of

We’re voraciously curious, we’re constantly reading, constantly learning, and we share what we learn with others. But most importantly, we’re kind. We’re a community of helping people become their best selves

An insanely great Book Club, which has been running for like 5 years straight!

Additional monthly meetups where we share tools, routines, personal challenges, and lots of other stuff you can’t get anywhere else

Significant discounts on my paid offerings

Access to private UL events

And more…

Support My Work and Become a Member

Thank you,

-Daniel


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Published on July 01, 2024 08:34

June 30, 2024

How the Far-left Will Elect Trump in November 2024

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Click and read the full-size version before continuing

As someone who detests Trump, I think I finally figured out why he’s so popular.

In short, it’s because the far-left in the US is pushing a horribly negative view of the US that 50% of the country outright rejects.

The far-left is basically saying the following anywhere they can—including in the media and in as many school curricula as they can possibly affect.

This is what they believe—and are teaching kids to believe—in liberal areas such the San Francisco Bay Area.

The left’s mistake is not realizing how extreme this narrative is, and how little of the country agrees with it.

The whole rest of the country (75-95% ???) has a much more nuanced view of things that looks more like this:

The difference between these two narratives is why Trump is so popular.

Basically, most of the country is being forced to side with Trump because he’s the only voice sticking up for the U.S.

They don’t actually like it. They don’t like Trump. They wish there were someone better. But if it comes down to Trump or an entire narrative and party that basically hates their country, they pick Trump.

If I had to make it even more stark, it’s this:

The far left thinks the US is horrible, and that it needs to be replaced

The rest of the country thinks it’s pretty good, and worth improving

The result?

I’ve been looking for a mysterious force that’s strong enough to make someone like Trump have this much support—despite everything we know about him.

I think this is it.

That mysterious force is the forceful rejection of the narrative that:

the US is unredeemable

cops are oppressors

the rich, racism, and sexism explains everything bad happening

it’s impossible to get ahead as a regular American

anyone successful should be considered an exploiter

we should throw it all away and try communism again

Unless the Democrats realize this deep, strategic error, they might lose the White House in November. And it will absolutely be their fault.

The answer is to run someone who will push back against this horribly defeatist and anti-American take on things. Someone who will admit our flaws, defend our strengths, and demonstrate some positivity and optimism for the future.

Unfortunately, I don’t see any evidence of Democrats doing that. Biden’s administration seems captured by this sort of toxic thinking, and we are suffering because of it.

NOTES

I could make a similar graphic for the far right vs. a logical center, and perhaps I will. It would look equally bad, with a lot of entries for attacking immigrants, rolling back women’s rights, etc., but I think this graphic matters most right now because it’s the one that’s going to get Trump elected.


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Published on June 30, 2024 13:48

June 24, 2024

UL NO. 438: Confusion is a Muse

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SECURITY | AI | MEANING :: Unsupervised Learning is my continuous stream of original ideas, analysis, tooling, and mental models designed to help humans thrive in a world full of AI.

TOC

NOTES

MY WORK

STORIES

IDEAS

DISCOVERY

RECOMMENDATION OF THE WEEK

APHORISM OF THE WEEK

NOTES

Registration for AUGMENTED v2 in July 2026 is now open. About half the slots are already gone. Sign up now by clicking below, or check UL Chat for your discount codes! RESERVE YOUR SLOT

🧠CHEAT CODE: Become a UL member to get a discount code of $250 off the course. BECOME A MEMBER

Reserve Your Slot

Fabric now supports Anthropic’s Sonnet 3.5. It’s really damn good. Just update and then run:

fabric —listmodels

echo “what’s the meaning of life “ | fabric -sp create_5_sentence_summary -m claude-3-5-sonnet-20240620

One note though, Sonnet and Haiku throw a lot of copyright failures. I guess they’re trying to push people towards Opus? Not sure why they do that, but I frequently can’t use extract_wisdom with Sonnet because it won’t summarize a podcast.

I’m gearing up for Vegas / Blackhat / DEFCON. Hope to see you there! Come see me. I’ll have stickers, but that’s about the limit of swag I’m comfortable with. I might make UL shirts at some point, but it won’t say Unsupervised Learning on them. It’ll just be the UL logo by itself on the center front, like a superhero decal.

🔥I’ve been feeling quite grateful for my life lately, and somehow superpowered. Not just because things are going well, which they are, but most importantly because I feel I’m living an authentic life.

I feel like this newsletter has been 300% better—at least in my eyes—because it’s lost its form and taken on the form of authenticity. It’s taken on the form of me, and what I’m thinking and doing and learning.

It’s no longer a newsletter in which I must do newsletter things. It’s now just a list of what I’m seeing and reading and learning, which I send out in something called a newsletter.

The difference is tiny and monumental, and I hope you’ve 1) noticed the difference, and 2) have enjoyed it.

Let me know. 🫶 

Ok, let’s get to it…

MY WORK

This is a stream-of-consciousness style collection of thoughts on US politics, the upcoming election, and I guess politics in general. Skip it if you don’t like politics.

My View on The State of US Politics


Member Post: A set of thoughts on how I currently see US politics and the upcoming election…


danielmiessler.com/p/view-state-us-politics

Hey there!

I would like to move more to a model where I support my work with memberships, courses, and revenue from the apps that I build—rather than sponsorships.

To help me realize this, I’d like to invite you to become a UL member.

Here’s what you get:

Entry into the best online community I’ve ever been a part of

We’re voraciously curious, constantly reading, constantly learning, and we share what we learn with others. But most importantly, we’re kind. We’re a community of helping people become their best selves.

An insanely great Book Club, which has been running for like 5 years straight!

Additional monthly meetups where we share tools, routines, personal challenges, and lots of other stuff you can’t get anywhere else

Significant discounts on my paid offerings

Access to private UL events

And more…

Honestly there are lots of benefits to being a member that make it worth more than the price, but at basically $8/month the community is worth it just by itself.

Become a Member

🫶🏻Thank you. I truly appreciate your support of the work that I do.

-Daniel

STORIES

CISA held its first AI security tabletop exercise with over 50 experts from government and industry to simulate responses to AI security incidents. The exercise, led by the Joint Cyber Defense Collaborative (JCDC), aimed to improve operational collaboration and information sharing for AI-related threats. | CISA

Extremists in the US are using AI to spread hate speech, recruit, and radicalize faster than ever. Examples: President Biden using racial slurs and Emma Watson reading Mein Kampf. | WIRED 

The U.S. has banned the sale of Kaspersky antivirus software, citing security risks from Russia. If you're using it, switch to another provider. | TECHCRUNCH 

There's a new set of high-severity vulnerabilities in Asus routers that let hackers take control without any user interaction. Patch these ASAP. | CVSS 9.8 | ARSTECHNICA 

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 content.dropzone.ai/your-free-ai-soc-analyst-for-the-summer

Get Started in 30 Minutes

Dmitri Alperovitch imagines a detailed scenario of China invading Taiwan in 2028, focusing on an air assault strategy due to the rough Taiwan Strait waters. | by Dmitri Alperovitch | WIRED 

The U.S. is moving to limit investments in China's AI, semiconductor, and quantum computing sectors to curb China's tech advancements. The new rules will impact private equity, venture capital funds, and U.S. limited partners' investments in foreign-managed funds and convertible debt. | TOMSHARDWARE 

💡Cool, but we need to be building a lot more energy production like them as well.

Jake Lang, a January 6 rioter, has organized a nationwide armed militia from prison. Lang's militia has thousands of members and uses Telegram for coordination. | by Leah Feiger | WIRED 

A study says directly at the camera during online job interviews can significantly boost your evaluation scores. | by Hiroshima University | PHYS.ORG 

AI Agents and The RaaS Revolution (Results As A Service) — Discusses the evolution from SaaS to RaaS, emphasizing the role of AI agents in delivering results. MEDIUM 

Sam Lijin has a new post on how to get structured output from LLMs, covering various frameworks and their pros and cons. The post dives into why converting English to JSON is tough and compares different methods like parsing malformed JSON versus constraining token generation. | by Sam Lijin | BOUNDARYML 

Laura Kipnis got invited to join an AI project called Rebind, where AI versions of authors interact with readers about classic books. She thought it was a scam at first but found the idea intriguing. The project aims to make high-level, interactive reading experiences accessible to everyone, using AI to simulate conversations with authors. | by Laura Kipnis | WIRED 

Fabian Both from Octomind explains why they stopped using LangChain for their AI agents, highlighting how its rigid high-level abstractions made their codebase more complex and less productive. Instead, they now use modular building blocks, which simplified their development process and increased team happiness and productivity. | by OCTOMIND | OCTOMIND BLOG 

My buddy Evan and long-time ULer, Evan Oslik, argues that our obsession with convenience is making us less human, disconnecting us from real-life interactions and essential skills. | by Evan Oslik | SNAKE EYES SOFTWARE

Solar generated a fifth of global electricity at midday on the summer solstice. | EMBER-CLIMATE

Using SSH as a sudo replacement is an interesting idea. The author suggests that SSH can be used to execute commands as another user, potentially replacing sudo in some scenarios. | WHYNOTHUGO

Apple is renaming Apple ID to Apple Account. The change aims to simplify the naming but expect to see both terms used interchangeably for a while. | by Adam Engst |  

A group of 17 secondary schools in Southwark, London, are going smartphone-free to combat the negative effects of phone use on students' well-being and education. | THE GUARDIAN 

💡I love how Jonathan Haidt’s work is spreading so fast.

I think the vibe of “social media is the new smoking” has some merit to it.

It’s not quite that clear, though, because in moderation social media can be useful, whereas smoking is always bad for your health. Although I guess you can argue for a pro if you do it socially?

Gavin Newsom wants to ban smartphones in schools to improve student focus and reduce distractions. More impact likely from Haidt. | by Gavin Newsom | POLITICO 

House prices are surging again, with a global index (excluding China) up over 3% year-on-year. American prices are up 6.5%, Australian by 5%, and Portuguese prices are soaring. | ECONOMIST 

Insufficient sun exposure is now a serious public health issue, potentially causing hundreds of thousands of deaths annually in the US and Europe, and increasing the risk of various diseases like cancer, cardiovascular disease, and multiple sclerosis. The study suggests that while vitamin D has been considered the main benefit of sun exposure, other mechanisms like nitric oxide release from the skin might also play significant roles. | NCBI 

💡I can’t wait for Huberman to cover this topic. Seems like getting sun early in the morning is super good for you (but that could be vibes).

My question is how much of that is circadian rhythm stuff, i.e., through the eyes, or how much is from like sun hitting the skin? And if it’s early, and the UV index is still low, does that mean it’s net-good?

Can’t wait to see more science on this. And in the meantime I’m going to treat very early and very late sun as kind of net-good.

Having more positive experiences in life is linked to lower odds of brain disorders like Alzheimer's and slower cognitive decline. A new study from Columbia suggests that brain mitochondria play a key role in this. | by Columbia Medicine | MEDICALXPRESS 

Secret Ted Cruz Fundraising Documents (Slightly Redacted) — A look at Ted Cruz's fundraising events and the redaction of personal information to comply with social media policies. The documents were found in the Senate Refectory and went viral on X before being taken down for containing personal information. | by Pablo Manríquez | CAPITOL PRESS 

💡One thing AI is going to bring us—and that I’m personally building—is the ability to gather intelligence continuously from thousands of sources, and then craft that into timelines and narratives.

This is the type of thing that required massive skill and headcount before. Like only journalists and spies were basically doing this, and there are/were so few of them!

Now, people like me will have AI that can gather constantly and turn that content into intelligence output.

Kolari Vision's inaugural solar eclipse photo competition crowned Ryan Spangenberg's shot of a plane skimming the eclipse as the winner. | by Matt Growcoot | PETAPIXEL 

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IDEAS

Toddler —> Ph.D in around 4 years. Insanity.



So like 3-4 years to go from toddler-level intelligence to Ph.D level intelligence.


But don't worry—it'll probably stop there.


— ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ (@DanielMiessler)
Jun 21, 2024


Just don’t call it AI.

Click to read the thread

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DISCOVERY

🔥 Web-Check — A free and open-source tool that lets you see everything about any website. You just enter a URL, click "Scan," and it gives you all the available information about the site. | by Alicia Sykes | GITHUB 

Haize Labs — Automated red-teaming against LLMs. Interesting stuff going on here, will be watching closely. X

Agentic LLM Vulnerability Scanner — An open-source tool for fuzzing and stress testing LLMs with customizable rule sets. | by msoedov | GITHUB

Incogni — A service that removes your personal info from the web to block spam calls and protect privacy. | by Incogni | 9TO5MAC 

Confusion is a Muse — Phil Eaton argues that confusion is a powerful tool for learning and writing, especially in software development. He says that embracing confusion and documenting the journey to understanding can lead to valuable insights and endless writing material. | NOTES

Complexity Expands to Fill the Space Available — Tom Wilson argues that complexity tends to expand to fill the space available, much like gas in a container. He suggests that limiting resources and constraints can actually drive simplicity and efficiency in systems. MEDIUM 

The Winter of Content — How Game of Thrones changed media, driving traffic and homogenizing journalism. | The Verge 

A niche salary database created from viral videos.  | by Salary Transparent Street | SALARYTRANSPARENTSTREET

The Internet is Now for Bots, Not Humans — Chris Butler argues that the internet is now more for bots than humans, with bots making up nearly half of all internet traffic. He suggests this shift changes how we design and interact with information. | CHRISBUTLER 

An impossibly thin fabric can cool you down by over 16 degrees. This fabric uses nanotechnology to reflect sunlight and dissipate body heat, making it ideal for hot climates. | FASTCOMPANY 

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RECOMMENDATION OF THE WEEK

Get a copy of Meditations by Marcus Aurelius and keep it by your bed.

I find it’s one of the best ways to:

Fall asleep

Feel grateful for my life as I’m doing so

Purchase: FANCY PANTS VERSION | NORMAL VERSION

APHORISM OF THE WEEK

Hey there,

I would like to move more to a model where I support my work with memberships, courses, and revenue from the apps that I build—rather than sponsorships.

To help me realize this, I’d like to invite you to become a UL member.

Here’s what you get:

Entry into the best online community I’ve ever been a part of.

We’re voraciously curious, we’re constantly reading, constantly learning, and we share what we learn with others. But most importantly, we’re kind. We’re a community of helping people become their best selves.

An insanely great Book Club, which has been running for like 5 years straight!

Additional monthly meetups where we share tools, routines, personal challenges, and lots of other stuff you can’t get anywhere else

Significant discounts on my paid offerings

Access to private UL events

And more…

Honestly there are lots of benefits to being a member that make it worth more than the price, but at basically $8/month the community is worth it just by itself.

Become a Member

Thank you. I truly appreciate your support of the work that I do.

-Daniel


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Published on June 24, 2024 14:35

My View on The State of US Politics

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Published on June 24, 2024 12:45

June 17, 2024

UL NO. 437: My List of Hard-won Life Lessons

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SECURITY | AI | MEANING :: Unsupervised Learning is my continuous stream of original ideas, analysis, tooling, and mental models designed to help humans thrive in a world full of AI.

TOC

NOTES

MY WORK

STORIES

IDEAS

DISCOVERY

RECOMMENDATION OF THE WEEK

APHORISM OF THE WEEK

NOTES

I’ll be delivering my AUGMENTED course live again on July 26th!

The theme of the course this time—and going forward—will be Moving Towards Human 3.0—How to Survive and Thrive in World Full of AI. The course content will include:

HUMAN 3.0

What I think is coming for us

What I’m planning for and learning to get ready

Human 3.0, why I think it’s necessary, and how to move towards it

SKILLSETS & MENTAL FRAMES

Mandatory skillsets and mental frames to stand out after AI

What to read, study, and learn to make money post-AI

What advice to give to young people you care about

INTEGRATING AI INTO YOUR LIFE & WORK

My personal AI stack, and how I use it every day

How to build a life workflow diagram

How to use Fabric to integrate AI into your life workflow

How to create custom Fabric patterns for anything

Live Pattern-building for multiple attendee use-cases

RESOURCES

A list of my recommended books

Recommended podcast episodes

Recommended list of people to follow

Favorite AI projects and tools

Other recommended training / courses / resources

And much more…

Reserve a Limited Slot for AUGMENTED JULY 2024

My friend Monica is launching her Cybersecurity Leadership Masterclass soon! She’s covering a ton of stuff, including:

How to get into a leadership position

How to build a security strategy, how to handle budget, politics, and communication as a security leader, and like a dozen other topics.

I’ve been watching the class develop and I can’t wait to see it launch. I highly recommend aspiring security leaders—or leaders who want to up their game—attend. SIGN UP FOR THE CLASS

Trying to make sense of AI’s role in your security operations? You’re not alone.

Join me and James Spiteri, Director of Product Management for Elastic Security, for a discussion on the benefits, risks, and considerations when implementing AI technology into your security stack.

Tuesday, June 25th, 9 AM PDT REGISTER FOR THE WEBINAR

I’m doing a minor modification of header titles, going from SECURITY/TECH/HUMANS to NEWS/IDEAS/DISCOVERY. The rationale is that: For me, security, tech, and humans are merging so deeply that I see them as integrated. So I think it makes more sense to break things down by new things happening, ideas that I find fascinating, and surfacing cool apps/projects/etc. If we don’t like it, I can always go back to the previous way, but I think this is more natural.

Ok, let’s get to it…

MY WORK

A couple of new essays this week.

First, my new piece on how AI will soon start teaching us, testing us—and scariest of all—rating us. And how these scores will start being used everywhere…

ASTRA Scores: AI-Powered Assessment and Rating Systems


With AI, hiring, dating, and learning is about to get very strange.


danielmiessler.com/p/astra-scores-aipowered-assessment-rating-systems

And this is my new piece on how we’re replacing meaningful, slow things with shallow fast things…

The Fast-Slow Problem


We've become so obsessed with fast pleasures that we can't enjoy slow ones anymore.


danielmiessler.com/p/the-fast-slow-problem

My list of hard-won life lessons. Expanded list from what you saw on socials.

A List of My Hard-won Life Lessons


A list of things it took me a very long time to learn.


danielmiessler.com/p/list-hardwon-life-lessons

I would like to move more to a model where I support my work with memberships, courses, and revenue from the apps that I build—rather than sponsorships.

To help me realize this, I’d like to invite you to become a UL member.

Here’s what you get:

Entry into the best online community I’ve ever been a part of

We’re voraciously curious, constantly reading, constantly learning, and we share what we learn with others. But most importantly, we’re kind. We’re a community of helping people become their best selves.

An insanely great Book Club, which has been running for like 5 years straight!

Additional monthly meetups where we share tools, routines, personal challenges, and lots of other stuff you can’t get anywhere else

Significant discounts on my paid offerings

Access to private UL events

And more…

Honestly there are lots of benefits to being a member that make it worth more than the price, but at basically $8/month the community is worth it just by itself.

Become a Member

🫶🏻Thank you. I truly appreciate your support of the work that I do.

-Daniel

STORIES

The House just passed a bill that bans DJI drones from using FCC frequencies, and it's now moving to the Senate. This could mean no more DJI drones in the U.S. if it becomes law. Would be a trip to see this happen before TikTok. | DRONEDJ

A disgruntled ex-employee cost NCS over $600,000 by deleting all 180 of its test servers using scripts he found on Google. Deprovisioning gets so many people. I honestly think IAM will take longer to solve than AGI. That and A/V. | TOMSHARDWARE 

💡I mean, there are lots of things that have to go wrong for this to happen, but we’d be lying if we said it wasn’t possible in a lot of places we’ve worked. Or still work.

Wells Fargo fired over a dozen employees for faking keyboard activity to look busy. | by Hannah Levitt | BLOOMBERG 

💡So happy to see this. Physical keys are great, but I’d prefer both security and convenience. Passkeys have to be the best thing that’s happened to consumer security in 10 years.

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Read It Now

AWS has added FIDO2 passkeys for MFA, making accounts more secure and user-friendly. Root users must enable MFA by July 2024. | BLEEPINGCOMPUTER 

New York Times source code was stolen using an exposed GitHub token. | BLEEPINGCOMPUTER

iOS 18 will let you automatically record and transcribe your phone calls through the Phone app. | by Juli Clover | MACRUMORS

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Learn More Today

Canada's proposed Online Harms Act could imprison people for life over hate speech and even preemptively restrict their freedom based on anticipated crimes. | by Conor Friedersdorf | THE ATLANTIC 

LinkedIn is rolling out AI career coaches that can help with everything from negotiating salaries to writing résumés. | by Amanda Hoover | WIRED 

💡See my essay above on rating systems. ASTRA SCORES ESSAY

AI and LLMs are transforming cyber insurance by making real-time risk assessments, underwriting, and claims processing more efficient. | by Louis Columbus | VENTUREBEAT

💡Oh man, I haven’t done a piece on this yet, but AI is going to make all insurance companies a lot smarter about real-time risk assessments and pricing adjustments.

Scale came out with a “controversial” stance that they will hire on merit and merit alone. It’s basically an anti-DEI statement, but not in a bad way. They’re saying that it will actually lead to healthier diversity than when it’s forced by woke policies. | by Scale AI | SCALE 

💡Everyone anticipated massive backlash to this statement, but there’s been very little. Which basically means the political pendulum has swung—or is still swinging—away from extreme wokeness. I just hope the pendulum stops in the middle rather than going into crazy town on the other side of this clock metaphor.

Nathan Wade's media consultant interrupted his CNN interview when he was asked about his relationship timeline with Fulton County DA Fani Willis. Wade said the relationship is a distraction and not relevant to the case. | by Lauren Sforza | THE HILL Consultant Interrupts Interview Over Relationship Timeline

Tesla shareholders have backed Elon Musk's $56 billion pay package and approved moving the firm's legal HQ to Texas. The deal was previously blocked by a Delaware judge for being unfair to shareholders. | by João da Silva and Natalie Sherman | BBC Tesla Shareholders Approve Musk's $56B Pay Package

💡This feels very Atlas Shrugged to me. Basically, give the actual builders anything they want. There are few of them left and they’re special. I like the pro-builder sentiment there, but I fear it comes with an unhealthy worship culture that breeds toxicity.

Like, “Give Buck Rhinehold a harem! Buck deserves it!” (cheering)

I’d like to see a healthy hybrid of Atlassian respect for founders/builders/creators, etc., but with the assumption that everyone should be like that, and thus, there’s no room for god-complexes.

Wow, what timing.

Elon Musk had sexual relationships with multiple SpaceX employees, including a former intern he later hired onto his executive team, according to The Wall Street Journal. Another woman alleged that Musk asked her to have his children and then denied her a raise when she refused. | by Elizabeth Lopatto | THE VERGE 

💡This is so insane. I mean, I’m inspired by his willingness to just ask for what he wants. There’s a version of that where it’s healthy. But, um, not with your fucking employees.

“Julie, great work on the Montague project. I admire you; you should have my babies.” (not a real quote, obviously)

Like it’d be wrong even if nothing bad happened from it, because of the potential for it go wrong. But if he’s actually doing what they’re saying here, that’d be really bad. It’s not just making the proposition, but punishing those who refuse.

This is why it’s not allowed, people!

California has the biggest wage gap in the US. Seems to me like just the most extreme version of a big city. You’re going to have the higher highs and the lower lows. | by Tessa McLean | SFGATE 

We just broke ground on America's first next-gen nuclear facility designed by TerraPower. This plant is safer, cheaper, and more reliable than existing ones, aiming to revolutionize power generation in the U.S. and globally. | by Bill Gates | GATESNOTES 

China's yuan is now Russia's main foreign currency, replacing the dollar and euro. | UNN 

A fungus living in the sea can break down the plastic polyethylene, but only after it's been exposed to UV light. | by Annika Vaksmaa | NIOZ 

Apple left out a lot of small updates at its WWDC keynote this year. Here are some of the coolest ones: iPhone bezels now have animations, you can type in Spanglish without toggling keyboards, and the flashlight app has new animations. Plus, widgets are easier to resize, the Vision Pro shows your keyboard in VR, and macOS Sequoia has nostalgic wallpapers. | by Wes Davis | THE VERGE 

Apple Vision Pro users can now watch House of the Dragon in an updated immersive Iron Throne Room environment on the visionOS Max app. | by Ryan Christoffel | 9TO5MAC 

Spatial Personas in visionOS 2 can now high five, fist bump, and touch fingers with visual and audio feedback. | by Tim Hardwick | MACRUMORS 

💡Excited about this. One of the things I enjoy doing with my Vision Pro is Facetime. And anything that makes it more natural is great.

Also can’t wait to try out the new dual-4K-monitor widescreen for working virtually.

Sebg argues that Jupyter Notebooks are the fast food of coding—convenient but often unhealthy for long-term projects.| by yobibyte | YOBIBYTE 

Nvidia CEO Jensen Huang told Caltech grads to pursue "zero-billion-dollar markets," which are markets with no current value but huge future potential. He emphasized the importance of resilience and innovation, encouraging graduates to see setbacks as opportunities for new directions. | by Jowi Morales | Tom's Hardware 

💡Just figured out what I love so much about Jensen. He’s like a nice Elon. Not saying Elon isn’t also nice; I know he is. Just saying he’s often not.

I love seeing—and having others see—that you can be a murderer-ambitious-creative-person, and still be kind most of the time.

Ro Arepally predicts that generative AI will actually increase the demand for software engineers over the next 20 years, not decrease it. The idea is that AI will make software engineering more accessible, similar to how autopilot systems made flying more accessible, leading to more tech companies and higher salaries for engineers. | by Ro Arepally | ROAREPALLY 

The widely held view that sperm counts in men are dropping around the world may be wrong, according to a new study by the University of Manchester, Queen’s University in Kingston, Canada, and Cryos International, Denmark. | by UofMNews | UNIVERSITY OF MANCHESTER 

Curiositry argues that perfectionism is about optimizing at the wrong scale, suggesting that focusing too much on perfecting small details can lead to missing the bigger picture. | by Curiositry | AUTODIDACTS 

38% of webpages that existed in 2013 are no longer accessible a decade later. | by Athena Chapekis et al. | PEWRESEARCH 

Derek Sivers explains why you should create a /now page on your website, basically a page that tells people what you're focused on right now. | by Derek Sivers | SIVERS 

💡I had one of these way back in the 10’s. I’ll have one again soon, but it’ll be in my personal API. Which will also show up on my site. 😀 

👉 Continue reading online to avoid the email cutoff issue 👈

IDEAS

An X thread I posted about increased production of goods and services after AI, and how it doesn’t make sense if 90% of people don’t have money to buy the stuff…



There's a critical problem with moving towards AGI and ASI in a way that increasingly replaces human workers.


Who is going to buy all the stuff?


Sure—we'll be able to make 1000X more stuff, but people won't have jobs—and therefore money—so who are we making all the stuff for?


— ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ (@DanielMiessler)
Jun 16, 2024


Venkat Rao argues that in a world dominated by AI and robots, the key to human survival isn't being smarter but being more mediocre. He suggests that mediocrity is an independent meta-trait crucial for evolutionary fitness and long-term survival. | by Venkatesh Rao | RIBBONFARM 

👉 Continue reading online to avoid the email cutoff issue 👈

DISCOVERY

Pop Culture's Oligopoly: Why Everything Feels Like a Sequel EXPERIMENTAL HISTORY

Dream Machine — An AI model that makes high-quality, realistic videos fast from text and images. | by Luma Labs AI | Dream Machine

Nvidia Warp — A Python framework for high-performance GPU simulation and graphics. | by NVIDIA | GITHUB 

The "Infinite Content Ideas Generator" — A 2-step AI prompt approach to never run out of content ideas. | by Moritz Kremb | THEPROMPTWARRIOR 

You can now design and manufacture your own chip, and this video shows you how. | by Robert Feranec | YOUTUBE 

LLM Mojo - The project ports Andrej Karpathy's llm.c to Mojo, leveraging performance enhancements like vectorization and parallelization. | by dorjeduck | GITHUB

Ollama v0.1.45 — Enhanced GPU discovery and multi-GPU support with concurrency. | by Ollama Team | GITHUB

SQLite is likely used more than all other database engines combined. | SQLITE 

Starlink Mini — A new portable Starlink dish designed for camping, RVs, and other mobile uses. | by Starlink Hardware | STARLINKHARDWARE

Max Leiter has a simple but powerful tip: ship something every day. It doesn't have to be big, just something you can point to. | by Max Leiter | MAX LEITER BLOG 

👉 Continue reading online to avoid the email cutoff issue 👈

RECOMMENDATION OF THE WEEK

This week I recommend you check out my list of truths it took me a very long time to learn.

MY LIST OF HARD-WON LIFE LESSONS

APHORISM OF THE WEEK

I would like to move more to a model where I support my work with memberships, courses, and revenue from the apps that I build—rather than sponsorships.

To help me realize this, I’d like to invite you to become a UL member.

Here’s what you get:

Entry into the best online community I’ve ever been a part of.

We’re voraciously curious, we’re constantly reading, constantly learning, and we share what we learn with others. But most importantly, we’re kind. We’re a community of helping people become their best selves.

An insanely great Book Club, which has been running for like 5 years straight!

Additional monthly meetups where we share tools, routines, personal challenges, and lots of other stuff you can’t get anywhere else

Significant discounts on my paid offerings

Access to private UL events

And more…

Honestly there are lots of benefits to being a member that make it worth more than the price, but at basically $8/month the community is worth it just by itself.

Become Part of Our UL Community

Thank you. I truly appreciate your support of the work that I do.

-Daniel


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Published on June 17, 2024 11:27

A List of My Hard-won Life Lessons

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I’m working on my context.md file for my personal Digital Assistant, and one part of that will be my model.md file, which is basically life lessons, or ways I view the world.

I’ve been capturing them in various forms, but one useful way is as a set of highly-compressed pieces of wisdom.

Here’s my list of uncommon knowledge that took me far too long to discover.

In practice, weak people behave very similarly to evil people. Don’t tie yourself to either.

-

When I am feeling low mood or low energy, 95% of the time it's because I have not 1) gotten up early, 2) gotten outside, 3) worked out, 4) gone for a walk, or done anything else physical in the last 2 days. Just go do that, and you'll instantly feel better.

-

Radical honesty—or something close to it—is harder to do at the time but infinitely better for your relationships. Avoiding hard conversations creates toxicity that builds up over time and destroys things.

-

You almost never lose by being kind to a stranger. No strings attached. A compliment. A gesture. A smile. Just be nice. People really, really need it right now. Give it away freely. It feels good, too.

-

People believe things mostly for reasons they don't understand, which are largely emotional and identity-related. This is why facts and logic aren't really effective in arguments. If you want to change minds, start by figuring out why they hold their opinions.

-

Taking responsibility for the state of your life is a superpower. There are few more powerful words than, "That's on me. I will fix that.", and few more destructive words than, "I can't do that because {someone else} is doing {a thing}."

-

Meaning requires you have purpose. Purpose comes from being useful. Being useful comes from working on problems that matter. Build skills to help you work on those problems. Meaning -> Purpose -> Useful -> Problems -> Skills.

This works in the opposite direction as well. If you don't know how to get meaning in your life, think about what skills you have. Then think about what meaningful problems you can apply them to. Which will make you useful. Which will give you the meaning you seek. Skills -> Problems -> Usefulness -> Meaning.

-

I am my most optimistic and kind when I am high-energy. And I am high-energy when I work out. So working out isn't just a physical thing: it makes me a kinder, more optimistic, and overall better person who is more productive as a side benefit.

-

Procrastination and anxiety are much more related than people think. Good sleep, exercise, and general organization of life address both.

-

Your work can only be as rewarding as the problems you're working on are meaningful.

-

When I'm not exercising and I feel bad, I feel certain that exercise is not the problem. It's something else. Something worse. But as soon as I exercise, I realize the problem was that I wasn't exercising.

-

The key to creating great content is authenticity and surprise. In that order. Be yourself, constantly explore, and share that with others. It's an evergreen content strategy. Perhaps the only one.

-

The ideal number of human workers in any business is zero. The purpose of companies is to make as much money as possible with the lowest possible expenses. So AI and other types of automation are not disruptions to a human-based Capitalism—instead, they’re revealing that today’s Capitalism is not fundamentally human in the first place.

-

Few things help a relationship more than honestly asking for what you want, and both sides being willing to walk away if it's not a match. - In hiring, I used to think that everyone is curious and ambitious and talented, and you just needed to expose them to the right training. But the truth is that some people only need a task and a search engine and they're highly productive. And others can get two master's degrees and take 6 months of training and still ask you what they should do every morning.

-

Becoming comfortable with being yourself is everything. Authenticity is the only way to be truly fulfilled. You'll have some people who are jealous or who will hate; just accept it as part of the cost.

-

VCs and HR representatives aren't your friends. They're there for the company, not for you. Just because they're smiling doesn't mean they'll do right by you. The incentives are misaligned.

-

People do their best work when they're obsessed with a problem. Find problems that allow you to be like that, and hire people who feel like that about the problems you're working on. - Many people wish they could find another partner, but they stay together because of kids, bills, or family obligations that would make it very difficult to split up. Don't let yourself be one of those people.

-

Your parents are flawed people who were doing their best given their upbringing and their own traumas. Forgive them and love them as best you can.

-

Don't work in an industry; work on problems. - Don't expect someone to understand something if their job and role require that they don't. - If you have the wrong partner in life, that's your ceiling for life happiness. If they're a 4, then 4 is the happiest and most successful you can be. Your partner is the most important choice you'll make.

-

The most insane life hack in the world is somehow the most secret. Eat and exercise like a thin person and you'll be thin. Read like Charlie Munger and you'll be smart. Work out like Sam Sulek and you'll gain muscle. Copying what works actually works.

-

The way to tell who your real friends are is to think of who will celebrate a win you're having even if they're having a bad day or week or month. True friendship doesn't depend on them doing better than you.

NOTES

I’ll keep adding more


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Published on June 17, 2024 11:03

The Fast-Slow Problem

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I’ve been obsessed lately with the concept of slow versus fast. I’m calling it the Fast-Slow Problem.

It refers to the speed and amount of dopamine that you get from a thing. So in the distant past, an apple would have been a treat, and especially an apple pie because it took so long to prepare and enhanced those apples, which were themselves not easy to come by.

That’s slow. From the difficulty of finding the thing, and from the long process of creating an apple pie.

A box of donuts on the other hand is fast.

First of all, you can just walk in and say, “give me a dozen donuts”, and second, a donut has been engineered to taste better than 100 crates of apples.

So if you eat six donuts, and bite into an applle, it’ll taste like 3-D printed styrofoam.

There are many other examples of this, including porn being the fast, extracted version of sex, and TikTok being the fast, extracted version of reading a book or watching a movie.

I worry that this is what’s happening with dating and relationships.

They say young people don’t want to get into relationships or have sex with each other anymore. Evidently they would rather do other things.

This feels very much like the Fast-Slow Problem.

What if it is as simple as teenagers and young adults having more Fast options on their phones and TVs, and they are so good that the Slow options of companionship and relationships simply can’t compete?

It’s one thing when a doughnut competes with an apple, but in this case, the fast versus a slow problem might literally be affecting the future of the species.

I’m not sure what the complete answer is here, because I’m sure there are places where the fast version is simply better and not just faster. But what I do know is that I think we should start being very cautious about replacing slow versions of things with fast versions of things.

There is meaning in doing things slowly. Slow walks while holding hands. Reading physical books in natural light. And making apple pies from scratch.

I think we should do our best to figure out what those slow, meaningful things are, and ensure that we keep as many of them in our lives as possible.

NOTES

Being born and raised in the San Francisco, Bay Area, I also find it interesting how conservative this idea is. It’s like I’m literally saying that the old way is better than the new way, and we need to hold onto it. Which is weird for me. But yeah—reading physical books in natural light is probably better than watching TikTok on your phone. I’m willing to take that non-progressive stance.


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Published on June 17, 2024 09:06

June 16, 2024

ASTRA Scores: AI-Powered Assessment and Rating Systems

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I just woke up with an idea that went from amazing to alarming in about three minutes.

The core idea

AI is about to replace many systems that were designed to teach, test, filter, and rate people. 

Here are some examples.

Teaching and testing

Interactively and creatively teaching people new content and then doing a live, multi-modal test with the student to see if they’ve learned the material.

This is the one that woke me up, and I was like:

Wow!—this will be so cool.

Example: New employee training at a company

So imagine like someone onboarding at a company, and they need to learn the various HR policies, main cultural concepts, how to request resources, how to get access to different systems, security practices, etc.

Today we have someone live teaching these classes with slides, or people are just given slide decks—perhaps with some video—and are told to self-study.

Then they take a multiple-choice test—which is designed to be pretty damn easy—and they’re done.

That’s the current old way.

The new way

The new way would be like a life-like AI avatar that has all the knowledge of what needs to be learned and absorbed.

And they look at the person’s background, the companies they’ve worked at, the school they went to, etc.—and they come up with a perfect way to teach the content to them. But they’re also a world-class expert teacher and expert at creating curricula.

How? Because the avatar is based on the knowledge of a massive pinnacle model like GPT-5 or whatever.

The new way of testing

When it comes time to test, instead of multiple-choice questions, you actually have a conversation with this avatar. They present you with scenarios, and you have a conversation with them.

They ask you questions like why or why not? They ask you what about questions.

Again, it’s a conversation. And they can go down various different paths to establish that you either do or don’t know the material well enough to safely start working.

So that’s the teach-and-test paradigm. Pretty cool.

Scores can and will get a LOT scarier

But then we come to scoring.

What if—after this long conversation—they can give you a safety score? Or a knowledge score about how deep your knowledge is about the company policies. Or how easy you are to trick with a suspicious email.

Still seems fine.

But the more I started thinking about this—as I was still waking up—I realized how big this actually is.

What about?

Hiring

Dating

Access to special parties

(see even more exclusive things)

The bigger test-to-rating trend

This is where I started getting scared.

Think about an ultra-deep interview by an AI with full world-knowledge. Like a GPT-6 level intelligence—say a 200 I.Q. (conservatively)—but more importantly, a vast understanding of what makes people successful in various endeavors.

The Astra™️ Score

Astra is the company with the most popular score on YouTube and Insta and TikTok in 2026 (yes, it survived). Your Astra is a score between 1 and 100, with multiple subscores.

Here are some of the aspects of the test:

A 3-day (7 hours a day) deep interview with a full-sized AI representative from Astra.

Knowledge and Past

Your personal life philosophy

Your personal life goals

Your understanding of math, physics, biology, history, economics, and many other disciplines.

Your understanding of human nature

A review of everything you’ve written online, every video you’ve made, etc.

A review of everything that’s ever been said about you publicly online

Your past, your traumas, your preferences, what you’re looking to accomplish in life

Your work history

Your skills

Your past relationships and how they continue or how they ended

Etc.

Scenarios

They then present you with all sorts of scenarios to actually test what they learned above, and tease out more information on your personality type and strengths and weaknesses

They also use immersive tech to put you under stress and see how you respond

The whole thing is done with a full camera on you in your surroundings, so they’re observing body language, facial expressions, etc. as well as your actual answers and your voice.

Health biomarkers, taken from blood and saliva samples. Optional, but encouraged. 😀 

The result of all of this is your constellation of Astra scores, which is rolled up to on Astra™️ score.

93Astra

The scary part is how it will be used

Now think about hiring.

What do you think will be more predictive of success in a job? A set of arbitrary questions from a hiring panel, or your Astra score in the areas of Conscientiousness, Neuroticism, IQ, Work history, Talent score, Discipline score, etc?

Uh, yeah.

The Astra AI will take all your scores. All your work history. All your personality traits. Your fucking blood work. Analysis of everything that’s been said about you. Everything you’ve ever said. A thorough review of your publicly-visible work for your whole career. A deep personality analysis of you whole past and your life. Analysis of your honesty from your body language and voice and facial expressions….etc.

And it will use its full knowledge of what makes people successful, combined with its full knowledge of human psychology and a growing list of other profiles it can correlate with—and output an answer.

It’ll be the closest thing to a true assessment of a person that we’ve ever seen, and it won’t be close.

I’m an AI-optimist who sees good that can come from something like this, but this still scares the crap out of me. Why? Because for every company that builds a benign-ish version, there will be 3 companies building a dystopian version.

Let’s keep going

Ok, so we talked about hiring.

Something like this might replace a lot of hiring processes. Or Astra will simply get trained on what the company needs and will create custom interview avatars for just that particular role.

The point is, this level of depth will be way better—in terms of being more predictive of success—than anything that’s come before it.

Now let’s expand into greater society.

People with high scores will display them right on their personal APIs, so people can visually see them in their AR interface.

Someone showing off how great they are with their Astra/Omni scores

Think about dating. Think about vetting for whether you want to start a family with someone.

There will be scores for:

Current financial state

Financial potential

Family dependability

Excitement

Conversation quality

Humor

Skill in bed

Trust with friends

Knowledge of Greek literature

These scores will be extraordinarily deep and accurate. But will they capture who we really are?

Or an even worse question—will people even care if they do once they get popular?

A universal vetting mechanism

What this all starts to point to is a cycle of:

Teach

Test

Rate

AI will be the best teachers, because they can be multi-modal, super-intelligent, and nearly all-knowing—plus they can tune their teaching style perfectly for the student.

Ditto for the testing. It can be so natural feeling, and can pull out the truest and best performance from the student.

And then the ratings. They’ll be so multi-faceted. So deep. And so damning when they’re low.

My concern

My biggest worry with systems like this is that it’ll take bias that already exists in the world and put actual numbers on them.

You take one look and think “not dating material”, but you don’t know how you came up with that. Well, Astra can tell you. Here’s a breakdown of 137 subscores that resulted in them getting a 38/100 in “should you date them.” Answer: No.

So damning. So final. So gross.

It reminds me of dystopian sci-fi. It reminds me of eugenics. It reminds me of elitism. It reminds me of basically everything we shouldn’t be building.

But we will build this. I guarantee you people have already started.

The problem is that existing, legacy rating systems are so bad, and so crappy at being predictive, that these replacements will be gobbled up by so many entities that need them to thrive.

Companies need the best people. Intelligence groups need people who are steady and reliable. Single people need someone who will be a good partner.

Our morals run everything until they don’t. And the point where a bad decision can harm you is exactly where that line is.

Just like AI itself, expect this. It’s not a thing that might happen, or could happen. It’s a thing that will happen—and probably already is.


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Published on June 16, 2024 19:57

June 10, 2024

UL NO. 436: Thoughts on the Future of AI & Societal Stability

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👉 Continue reading online to avoid the email cutoff issue 👈

SECURITY | AI | MEANING :: Unsupervised Learning is my continuous stream of original ideas, analysis, tooling, and mental models designed to help humans thrive in a world full of AI.

TOC

NOTES

MY WORK

SECURITY

TECHNOLOGY

Fabric Summary

HUMANS

IDEAS & ANALYSIS

RECOMMENDATION OF THE WEEK

APHORISM OF THE WEEK

NOTES

Hey there,

Today’s a big religious day for me, perhaps my Holiest day. Yes, the WWDC Keynote. And this year it included massive updates that I absolutely loved. My quick couple of thoughts:



Apple just won AI.


They caught up and past everyone in one shot.


The thing they get is that it's about the integrations, not the standalone features.


And they're the only platform with the product knowledge combined with the tech capabilities.


In. Sane.


— ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ (@DanielMiessler)
Jun 10, 2024




One thing that wasn’t clear from Apple’s presentation today was how much of Apple Intelligence is Apple-native vs. integration with OpenAI.


It mostly sounded like only the ChatGPT branded stuff was OpenAI, and that would be fine.


I’d be a lot less comfortable if basically all… x.com/i/web/status/1…


— ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ (@DanielMiessler)
Jun 10, 2024


Prety disappointed none of the main AI features seem to be in the iOS18 betas that were just released. So basically everything is for later this year? Booo.

Later today I’m going to train kickboxing for the first time formally—other than one-off lessons. Pretty sure I’m going to sign up at the place and alternate between kickboxing and jits.

One of the most important conversations ever on AI Safety. A must-watch. It’s 4.5 hours and better than any movie.

Wrote a new Fabric pattern called capture_thinkers_work, which does a capture of a thinker, author, or philosopher’s work. So basically their background, their main ideas, the work they produced, and more. Example:

echo "hayek" | fabric -sp capture_thinkers_work

My thread on how to find a good mentor:



💡🤝💪Being mentored by someone ahead of you can change your whole trajectory, but there are good and bad ways to do it.


📄


Here are the main things to do—and avoid doing—when contacting and working with a mentor.


— ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ (@DanielMiessler)
Jan 19, 2023


Experimenting with adding source names to stories now so people can see where they’d be taken. A frequently-requested feature.

Ok, let’s get to it…

Hey there!

I’m trying to get better at asking people to share my work. I think a lot of people can benefit from knowing there are others out there like them.

🫶 So—if you know someone smart, and kind, and voraciously curious—like you—please share the newsletter with them. 🫶 

Share UL with someone kind and curious…

And if you’re not yet a member, please come join us in the UL community. We have vibrant conversations, a monthly book club, and so much more.

Become a UL Member !!!

See you in chat!

MY WORK

My new member piece on the future of AI. Lots of good stuff in here!

A Collection of Thoughts and Predictions About AI (June 2024)


Predictions, responses, ideas, and miscellanea regarding AI and the future


danielmiessler.com/p/a-collection-of-thoughts-and-predictions-about-ai-june-2024

SECURITY

Despite Europe's ban on Russia's RT network, its content is still sneaking through via sites like Man Stuff News. These platforms are republishing RT's articles, effectively bypassing restrictions and continuing to spread disinformation. NYTIMES | by Tiffany Hsu and Steven Lee Myers

TikTok's latest headache was a zero-click attack that's been hijacking celebrity accounts by just opening a DM. THE HACKER NEWS

💡The new tactic Tiktok is using to avoid the split-off lawsuit is separating out the algorithm for US users. Not sure that’ll be enough, though.

A new paper claims GPT-4 can now autonomously hack zero-day vulnerabilities with a 53% success rate using a team of specialized agents. | ARXIV

💡I’ll keep reading and posting these when the claims are interesting and they’re from respected outfits, but watch the quality of the paper closely. Look especially at how much of their testing methodology they posted.

Here’s the Fabric analyze_paper analysis for this paper, for example.

Ticketmaster and other organizations just got hit by a data breach through Snowflake. Looks like a lot of the latest big breaches where we keep hearing about new affected customers for months. SECURITYWEEK | WIRED by Matt Burgess

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A Chinese drone photographer got snagged by the U.S. Espionage Act for snapping pics of a military shipyard. PETAPIXEL | by Jeremy Gray

Eric Schmidt's latest venture, White Stork, is testing AI military drones in Silicon Valley and Ukraine, blending tech innovation with frontline warfare. | by Sarah Emerson | FORBES

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We've isolated the top 3 critical web application security vulnerabilities that Aikido users face. This guide outlines what they are, why they're so common, and how to fix them - along with some risky runner-ups we couldn't ignore.

Address these early and effectively, and you'll already be well ahead in the fight to keep your web application secure against cybercrime.

 akido.dev/blog/web-application-security-vulnerabilities

Read Blog

OpenAI revealed that its AI tech was used by Russia and China for sneaky online influence ops. They've been crafting social media posts and editing articles to skew public opinion and mess with geopolitics. NYT | by Cade Metz

👉 Continue reading online to avoid the email cutoff issue 👈

TECHNOLOGY

Everything Apple Talked About in the WWDC Keynote TECHCRUNCH

Fabric Summary

Apple's WWDC 2024 introduced major updates across its platforms, including Vision OS, iOS 18, and new Apple Intelligence features.

# MAIN POINTS:

1. Vision OS 2 introduces spatial photos, new gestures, and enhanced productivity.

2. iOS 18 offers deeper customization, new privacy controls, and a redesigned Photos app.

3. Apple Vision Pro expands with new apps and developer APIs.

4. Apple TV Plus celebrates its fifth anniversary with new original content.

5. WatchOS 11 introduces training load metrics and a new vitals app.

6. iPadOS 18 brings a floating tab bar, math notes, and smart script handwriting features.

7. MacOS Sequoia includes iPhone mirroring, enhanced Safari, and new gaming titles.

8. Apple Intelligence integrates generative models for personalized experiences.

9. Siri becomes more natural and contextually aware with Apple Intelligence.

10. Developers gain new APIs and frameworks to integrate Apple Intelligence into their apps.

💡One of the features I loved most was the fact that you can send money by bringing your phone next to someone else’s now.



Apple was like ‘yeah let’s do Venmo but make it absolutely sick’


— Sebastiaan de With (@sdw)
Jun 10, 2024


All the startups Apple killed today. X

The U.S. needs 225,000 more cybersecurity workers to close the talent gap, according to CyberSeek. | by Eduard Kovacs | SECURITYWEEK

💡I’ve always had doubts about numbers like these. It all comes down to how you ask the question, who you ask, etc.

And it’s even more nuanced now, given that AI will be able to start filling in demand.

But at the same time, more stuff is about to be built, so that’ll be more stuff that needs to be secured.

Apple just hit the $3 trillion mark again, but Nvidia jumped ahead to the world's second-most valuable company. Microsoft is still on top, but I predict not for long. | MACRUMORS

💰Cartwheel, spearheaded by Andrew Carr, secures a $5.6M seed round for its groundbreaking text-to-animation tool. TECHCRUNCH

⚙️Ollama CLI just got a slick interactive upgrade, making managing LLM models a breeze. | by x-cmd | X-CMD.COM

✏️WiredJS brings a fresh twist to UI design with its hand-drawn, sketchy look that makes interfaces feel more personal and engaging. | by preetster | WIREDJS

🗺️ShadeMap — A project that maps every mountain, building, and tree shadow for any date and time, blending terrain data with AI to estimate tree canopy heights. | by shademap | SHADEMAP

👨‍💻How to Think Like a Computer Scientist: Interactive Edition is a fantastic resource for anyone looking to get into the mindset of coding. | by Christopher Schuster | HACKER NEWS

Starship just nailed its first-ever landing burn after surviving re-entry. Previously the ship burned up on the way up or on re-entry. Crazy progress for just a few months. TWITTER

The world’s largest solar farm, a 3.5-gigawatt facility in Xinjiang, China, is now online and will generate enough electricity to power over 2 million EVs annually. | ELECTREK

The USA's solar panel manufacturing capacity jumped 71% in Q1 2024, hitting a record 11 GW of new capacity. Florida and Texas are leading, while California struggles due to policy changes. | CLEANTECHNICA

👉 Continue reading online to avoid the email cutoff issue 👈

HUMANS

David Brooks argues that progressive energy has shifted from the working class to elite universities, making these institutions more left-leaning than ever. He points out that protests and progressive opinions are now predominantly found at wealthy, elite schools, while working-class campuses remain relatively quiet. NEWYORKTIMES

Greg Lukianoff argues that the farther left you lean, the more anxious, depressed, and unhappy you are. The data shows that 57% of very liberal students report poor mental health at least half the time, compared to 34% of very conservative students. | SUBSTACK

Gurwinder proposes we're facing an "Intellectual Obesity Crisis," where too much information leads to mental sluggishness. | by Gurwinder Bhogal | HACKER NEWS

Burnout can make you feel helpless, incompetent, emotionally exhausted, isolated, and cynical. Yale faculty explain the neurobiological basis behind burnout symptoms and how to reverse them. | by Kayla Yup | YALE DAILY NEWS

The US is about to fund Moderna's cutting-edge mRNA vaccine for bird flu, as the H5N1 virus makes an unwelcome visit to egg farms and cattle herds. FINANCIAL TIMES

The New York Times' deep dive into the devastation of Ukraine through satellite data reveals destruction on a scale hard to fathom, akin to leveling Manhattan four times over. | by Marco Hernandez, Jeffrey Gettleman, Finbarr O’Reilly, and Tim Wallace | NYTIMES

Sticking around at the same company for more than two years might cost you, big time—like, half your paycheck big. FORBES

US job openings hit a three-year low, signaling a cooling labor market but with layoffs still surprisingly low. CNN

Viagra improves brain blood flow and could help to prevent dementia. | by University of Oxford | HACKER NEWS

A new poll shows that 49% of Independents think Trump should drop out after his guilty verdict. | by Alex Thompson | AXIOS

💡I predict this effect wears off and Trump will be polling even with Biden within a month, if not sooner.

X just updated its terms to give the official approval to adult content. THEVERGE

Ernest Hemingway wrote a deeply moving letter to friends who lost their son, saying that those who truly live never really die. | by Maria Popova | THE MARGINALIAN

One of the coolest life wisdom threads I’ve come across. X

👉 Continue reading online to avoid the email cutoff issue 👈

IDEAS & ANALYSIS

I think I figured out the simplest possible answer for why Trump is still doing so well.



Increasingly starting to think the most important factor in the 2024 election is that:


1. Biden represents a left that thinks the US is evil and needs to be reformed


2. Trump represents a center and right that believes the US is the best country in the world and should thrive


— ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ (@DanielMiessler)
Jun 7, 2024


RECOMMENDATION OF THE WEEK

An extraordinary conversation between two insanely curious people.

I recommend you follow them both.

Tyler Cowen

Dwarkesh Patel

APHORISM OF THE WEEK

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🫶 So—if you know someone smart, and kind, and voraciously curious—like you—please share the newsletter with them. 🫶 

Share UL with someone kind and curious…

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Become a UL Member !!!

See you in chat!

Happy to be sharing the planet with you,


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Published on June 10, 2024 16:37

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Daniel Miessler
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