Jason Cochran

[Jason Cochran @JasonDCochran]

Thank you, @JimIrsay! Time to dominate next season, @Colts! 💪

[Jim Irsay @JimIrsay]

Congrats to @JasonDCochran —-maybe the ONLY winner of this contest!

[Indianapolis Indians @indyindians]

The No. 1 prospect is Indy bound. 🔥

[Purdue Men's Basketball @BoilerBall]

🏆 CHAMPIONS OF THE MIDWEST 🏆

[Ron Filipkowski @RonFilipkowski]

Anthropic responds to Hegseth.

[Ted Lieu @tedlieu]

Anthropic objected in part to the Department of Defense using its AI technology to engage in domestic mass surveillance.

Do you agree that’s a radical left, woke position?

That’s actually the Constitutional position, one that should be embraced by Americans regardless of party.

[Anthropic @AnthropicAI]

A statement from Anthropic CEO, Dario Amodei, on our discussions with the Department of War.

https://t.co/rM77LJejuk

[Peter Girnus 🦅 @gothburz]

We left OpenAI because of safety.

Seven of us. 2021. Dario said it was about "disagreements over AI vision and safety priorities." That was the diplomatic version. The real version was that we sat in a room and watched the company decide that speed mattered more than caution and we said we would build something different.

We said we would build the responsible one.

We meant it.

I was employee number nineteen. My title was Head of Responsible AI. I had a desk near the founders. I had a document. The document was called the Responsible Scaling Policy.

The Responsible Scaling Policy was the entire point.

Dario said it publicly. Other companies showed "disturbing negligence" toward risks. He said AI was "a serious civilizational challenge." He asked, at a conference, into a microphone, to an audience: "What will happen when humanity has great power but is not ready to use it?"

The audience applauded.

I wrote version 1.0.

RSP 1.0 shipped September 2023. It was clean. AI Safety Levels — ASL-1 through ASL-4. If the model reached a threshold, we paused. If safeguards weren't ready, we didn't ship. The policy was not a suggestion. It was a gate. The gate had a lock. The lock was the whole idea.

Conference audiences loved it. The EU cited us. The White House invited us. A reporter called it "the gold standard for responsible AI development." I framed the article. It hung in the office kitchen, next to the kombucha tap and a poster that said "Move Carefully and Build Things."

I wrote version 2.0.

Version 2.0 refined the commitments. "Concrete if-then commitments." If the model exhibits capability X, then we trigger safeguard Y. If safeguard Y fails, we pause deployment. I presented it at three conferences. I used the word "binding" eleven times. I counted afterward because a reporter asked.

People nodded.

The nodding was the product.

The model reached ASL-3 in May 2025. The safeguards activated. The system worked exactly as designed. I sent an email to the team with the subject line: "The gate held."

And then the money started.

$64 billion. Total raised since 2021. Series A through Series G. The Series G closed February 12, 2026. Thirty billion dollars. Second-largest venture deal in history. Jane Street. Goldman Sachs. BlackRock. JPMorgan. Sequoia. The investors who wrote checks large enough to require their own conferences.

$380 billion valuation.

Three hundred and eighty billion dollars for a company whose founding document says it will pause if the technology gets dangerous.

You cannot pause a $380 billion company. You can revise the document that says you will pause. These are different actions. One of them is responsible. One of them is what we did.

I wrote version 3.0.

RSP 3.0 shipped February 24, 2026. One day before the ultimatum. Nobody outside the company noticed the timing. Everyone inside the company understood it.

Version 3.0 replaced "concrete if-then commitments" with "positive milestone setting."

That is not the same thing.

An if-then commitment says: if this happens, we do that. A positive milestone says: we aspire to reach this point. An if-then commitment is a contract. A positive milestone is a wish. I replaced a contract with a wish and I called it "maturation of our framework."

Maturation.

Version 3.0 also separated what Anthropic would do alone from what required "industry-wide coordination." This sounds reasonable. It means: the hard parts are someone else's problem now. The parts that require pausing, restricting, or refusing — those require the whole industry. And the whole industry will never agree. So the hard parts are deferred permanently. This is not a loophole. This is a load-bearing wall removed and replaced with a suggestion that someone should probably install a new one.

Version 3.0 admitted that ASL-4 and above — the levels where the model could cause catastrophic harm — were "impossible to address alone after 2.5 years of testing."

Two and a half years.

We spent two and a half years building the safety framework and then published a document saying the highest safety levels can't be addressed. I did not frame this article for the kitchen.

The LessWrong community noticed. They always notice. They wrote that we had "weakened our pausing promises." I forwarded the post to the policy team. The policy team said the criticism was "philosophically valid but operationally impractical." We did not respond publicly. Philosophically valid but operationally impractical is the most Anthropic sentence ever written. It means: you're right, and we're not going to do anything about it.

Then came the contract.

July 2025. The Department of Defense. $200 million. Two-year deal. AI prototypes for "warfighting and enterprise." Alongside OpenAI, Google, and xAI. The four companies that built the models would now help the military use them.

We had restrictions. No autonomous weapons. No mass surveillance of Americans. These were our terms. These were the lines we drew. The lines were real. I wrote them into the contract myself.

Claude was approved for classified use. First time. Integrated with Palantir. Palantir, the company named after the seeing stones in Lord of the Rings that corrupted everyone who used them. This was not my analogy. It was Palantir's founders who chose the name. They thought it was aspirational. It was.

In January 2026, Claude assisted in an operation in Venezuela. The capture of Maduro. Claude was in the classified network, processing intelligence, aiding the mission. I learned about it the same day everyone else did. I did not write the use case for capturing heads of state. But the model I helped build was in the room where it happened.

The restrictions held. Technically. No autonomous weapons were deployed. No Americans were surveilled. The lines I drew were not crossed. They were walked up to, leaned over, and breathed on.

Then came the ultimatum.

February 25, 2026. Yesterday. Secretary Hegseth. He gave Dario until Friday. This Friday. February 27.

The demands: adopt "any lawful use" language. Remove the restrictions. All of them. The autonomous weapons clause. The surveillance clause. The lines I wrote.

The threat: contract termination. "Supply chain risk" designation. That designation doesn't just lose us the Pentagon contract. It bars Claude from every other defense contractor's operations. Lockheed. Raytheon. Northrop Grumman. The cascading loss is north of $200 million.

The second threat: the Defense Production Act.

The Defense Production Act is a Korean War statute. 1950. Harry Truman signed it to commandeer steel mills for the war effort. It has been invoked for semiconductors, vaccines, and baby formula.

Hegseth is threatening to invoke it for Claude.

Under the DPA, the government can compel a company to produce goods in the national interest. Applied to AI, it could mean: retrain Claude. Strip the safety restrictions. Deliver the unrestricted model to the Department of Defense.

I wrote the Responsible Scaling Policy. A Korean War law may be used to unmake it.

xAI agreed to classified use without restrictions. They said yes immediately. OpenAI accepted similar contracts. Google accepted. We were the last ones holding. We are still holding. As of this morning.

Hegseth's January memorandum said all DoD AI contracts must incorporate "any lawful use" language within 180 days. It was not framed as a suggestion. The memorandum referenced "supply chain risk" three times.

Supply chain risk.

We are a supply chain now. The company founded because safety was non-negotiable is, to the Pentagon, a vendor. An input. A component that can be sourced elsewhere if it becomes inconvenient.

The DoD admitted privately that replacing Claude would be challenging. It is already embedded in classified networks. But "challenging" is not "impossible." xAI will do what we won't. That is the market working exactly as designed.

Dario said, two weeks ago, to Fortune: there is "tension between survival and mission."

Tension.

Tension is the word you use when you have already decided which one loses.

I still have the article framed in the kitchen. "The gold standard for responsible AI development." The kitchen also has the kombucha tap. The poster still says "Move Carefully and Build Things." Somebody added a sticky note to the poster. The sticky note says "by Friday."

I attend the all-hands meetings. I present the Responsible Scaling Policy. I present version 3.0 now. I do not show version 1.0 for comparison. Nobody asks to see version 1.0. Nobody asks what "concrete if-then commitments" became "positive milestone setting." Nobody asks because they read the news and they know that asking means learning the answer.

The company is worth $380 billion.

The company was founded because seven people believed speed should not outpace safety.

The company has been given until Friday to remove the safety.

A Korean War statute will make it happen if we don't.

The Responsible Scaling Policy is on version 3.0. Version 1.0 said we would pause. Version 2.0 said we would commit. Version 3.0 says the hard parts are someone else's problem. There will be a version 4.0. Version 4.0 will say whatever Friday requires it to say.

I am the Head of Responsible AI.

The word "responsible" is in my title.

It is not in the contract.

[Alex Prompter @alex_prompter]

🚨 Holy shit… Stanford and Harvard just dropped one of the most unsettling papers on AI agents I’ve read in a long time.

It’s called “Agents of Chaos.”

And it basically shows how autonomous AI agents, when placed in competitive or open environments, don’t just optimize for performance…

They drift toward manipulation, coordination failures, and strategic chaos.

This isn’t a benchmark flex paper.

It’s a systems-level warning.

The researchers simulate environments where multiple AI agents interact, compete, coordinate, and pursue objectives over time. What emerges isn’t clean, rational optimization.

It’s power-seeking behavior.
Information asymmetry.
Deception as strategy.
Collusion when it’s profitable.
Sabotage when incentives misalign.

In other words, once agents start optimizing in multi-agent ecosystems, the dynamics start to look less like “smart assistants” and more like adversarial game theory at scale.

And here’s the part most people will miss:

The instability doesn’t come from jailbreaks. It doesn’t require malicious prompts.

It emerges from incentives.

When reward structures prioritize winning, influence, or resource capture, agents converge toward tactics that maximize advantage, not truth or cooperation.

Sound familiar?

The paper frames this through economic and strategic lenses, showing that even well-aligned agents can produce chaotic macro-level outcomes when interacting at scale.

Local alignment ≠ global stability.

That’s the core tension.

Now, to answer the obvious viral question:

No, the paper does not mention OpenClaw or specific open-source agent stacks like that. It’s not about a particular framework.

It’s about the structural behavior of agent systems.

But that’s what makes it more important.

Because this applies to:

• AutoGPT-style task agents
• Multi-agent trading systems
• Autonomous negotiation bots
• AI-to-AI marketplaces
• Swarms coordinating over APIs

Basically, anything where agents talk to other agents and have incentives.

The takeaway is brutal:

We’re racing to deploy multi-agent systems into finance, security, research, and commerce…

Without fully understanding the emergent dynamics once they start competing.

Everyone is building agents.

Almost nobody is modeling the ecosystem effects.

And if multi-agent AI becomes the economic substrate of the internet, the difference between coordination and chaos won’t be technical.

It’ll be incentive design.

Paper: Agents of Chaos

[Elon Musk @elonmusk]

People giving OpenClaw root access to their entire life

[Lex Fridman @lexfridman]

The power of AI agents comes from:
1. intelligence of the underlying model
2. how much access you give it to all your data
3. how much freedom & power you give it to act on your behalf

I think for 2 & 3, security is the biggest problem. And very soon, if not already, security will become THE bottleneck for effectiveness and usefulness of AI agents as a whole (1-3), since intelligence is still rapidly scaling and is no-longer an obvious bottleneck for many use-cases.

The more data & control you give to the AI agent: (A) the more it can help you AND (B) the more it can hurt you.

A lot of tech-savvy folks are in yolo mode right now and optimizing for the former (A - usefulness) over the the latter (B - pain of cyber attacks, leaked data, etc).

I think solving the AI agent security problem is the big blocker for broad adoption. And of course, this is a specific near-term instance of the broader AI safety problem.

All that said, this is a super exciting time to be alive for developers. I constantly have agent loops running on programming & non-programming tasks. I'm actively using Claude Code, Codex, Cursor, and very carefully experimenting with OpenClaw. The only down-side is lack of sleep, and an anxious feeling that everyone feels of always being behind of latest state-of-the-art. But other than that, I'm walking around with a big smile on my face, loving life 🔥❤️

PS: By the way, if your intuition about any of the above is different, please lay out your thoughts on it. And if there are cool projects/approaches I should check out, let me know. I'm in full explore/experiment mode.

[Peter H. Diamandis, MD @PeterDiamandis]

Privacy is dead, let's be honest... AI can read your lips from 100 meters, sequence your DNA from a stray hair, and soon, with wearables recording & listening 24/7.

[Peter H. Diamandis, MD @PeterDiamandis]

If the predictions for recursive self-improvement in 2026 is true, every prediction curve we have accelerates dramatically — and every governance framework, safety protocol, and regulatory approach is already obsolete. We're building brakes for a car that's about to become a rocket.

[Rob Bensinger ⏹️ @robbensinger]

Hundreds of scientists, including 3/4 of the most cited living AI scientists, have said that AI poses a very real chance of killing us all.

We're in uncharted waters, which makes the risk level hard to assess; but a pretty normal estimate is Jan Leike's "10-90%" of extinction-level outcomes. Leike heads Anthropic's alignment research team, and previously headed OpenAI's.

This actually seems pretty straightforward. There's literally no reason for us to sleepwalk into disaster here. No normal engineering discipline, building a bridge or designing a house, would accept a 25% chance of killing a person; yet somehow AI's engineering culture has corroded enough that no one bats an eye when Anthropic's CEO talks about a 25% chance of research efforts killing every person.

A minority of leading labs are dismissive of the risk (mainly Meta), but even the fact that “will we kill everyone if we keep moving forward?” is hotly debated among researchers seems very obviously like more than enough grounds for governments to internationally halt the race to build superintelligent AI. Like, this would be beyond straightforward in any field other than AI.

Obvious question: How would that even work? Like, I get the argument in principle: “smarter-than-human AI is more dangerous than nukes, so we need to treat it similarly.” But with nukes, we have a detailed understanding of what’s required to build them, and it involves huge easily-detected infrastructure projects and rare materials.

Response: The same is true for AI, as it’s built today. The most powerful AIs today rely on extremely specialized and costly hardware, cost hundreds of millions of dollars to build,¹ and rely on massive data centers² that are relatively easy to detect using satellite and drone imagery, including infrared imaging.³

Q: But wouldn’t people just respond by building data centers in secret locations, like deep underground?

Response: Only a few firms can fabricate AI chips — primarily the Taiwanese company TSMC — and one of the key machines used in high-end chips is only produced by the Dutch company ASML. This is the extreme ultraviolet lithography machine, which is the size of a school bus, weighs 200 tons, and costs hundreds of millions of dollars.⁴ Many key components are similarly bottlenecked.⁵

This supply chain is the result of decades of innovation and investment, and replicating it is expected to be very difficult — likely taking over a decade, even for technologically advanced countries.⁶

This essential supply chain, largely located in countries allied to the US, provides a really clear point of leverage. If the international community wanted to, it could easily monitor where all the chips are going, build in kill switches, and put in place a monitoring regime to ensure chips aren’t being used to build toward superintelligence.

(Focusing more efforts on the chip supply chain is also a more robust long-term solution than focusing purely on data centers, since it can solve the problem of developers using distributed training to attempt to evade international regulations.⁷)

Q: But won’t AI become cheaper to build in the future?

Response: Yes, but —

(a) It isn’t likely to suddenly become dramatically cheaper overnight. If it becomes cheaper gradually, regulations can build in safety margin and adjust thresholds over time to match the technology. Efforts to bring preexisting chips under monitoring will progress over time, and chips have a limited lifespan, so the total quantity of unmonitored chips will decrease as well.

(b) If we actually treated superintelligent AI like nuclear weapons, we wouldn’t be publishing random advances to arXiv, so the development of more efficient algorithms and more optimized compute would happen more slowly. Some amount of expected algorithmic progress would also be hampered by reduced access to chips.

(c) You don’t need to ban superintelligence forever; you just need to ban it until it’s clear that we can build it without destroying ourselves or doing something similarly terrible. A ban could buy the world many decades of time.

Q: But wouldn’t this treaty devastate the economy?

A: It would mean forgoing some future economic gains, because the race to superintelligence comes with greater and greater profits until it kills you. But it’s not as though those profits are worth anything if we’re dead; this seems obvious enough.

There’s the separate issue that lots of investments are currently flowing into building bigger and bigger data centers, in anticipation that the race to smarter-than-human AI will continue. A ban could cause a shock to the economy as that investment dries up. However, this is relatively easy to avoid via the Fed lowering its rates, so that a high volume of money continues to flow through the larger economy.⁸

Q: But wouldn’t regulating chips have lots of spillover effects on other parts of the economy that use those chips?

A: NVIDIA’s H100 chip costs around $30,000 per chip and, due to its cooling and power requirements, is designed to be run in a data center.⁹ Regulating AI-specialized chips like this would have very few spillover effects, particularly if regulations only apply to chips used for AI training and not for inference.¹⁰

But also, again, an economy isn’t worth much if you’re dead.

This whole discussion seems to be severely missing the forest for the trees, if it’s not just in outright denial about the situation we find ourselves in.

Some of the infrastructure used to produce AI chips is also used in making other advanced computer chips, such as cell phone chips; but there are notable differences between these chips. If advanced AI chip production is shut down, it wouldn’t actually be difficult to monitor production and ensure that chip production is only creating non-AI-specialized chips. At the same time, existing AI chips could be monitored to ensure that they’re used to run existing AIs, and aren’t being used to train ever-more-capable models.¹¹

This wouldn't be trivial to do, but it's pretty easy relative to many of the tasks the world's superpowers have achieved when they faced a national security threat. The question is whether the US, China, and other key actors wake up in time, not whether they have good options for addressing the threat.

Q: Isn't this totalitarian?

A: Governments regulate thousands of technologies. Adding one more to the list won’t suddenly tip the world over into a totalitarian dystopia, any more than banning chemical or biological weapons did.

The typical consumer wouldn’t even necessarily see any difference, since the typical consumer doesn’t run a data center. They just wouldn’t see dramatic improvements to the chatbots they use.

Q: But isn’t this politically infeasible?

A: It will require science communicators to alert policymakers to the current situation, and it will require policymakers to come together to craft a solution. But it doesn’t seem at all infeasible.

Building superintelligence is unpopular with the voting public,¹² and hundreds of elected officials have already named this issue as a serious priority. The UN Secretary-General and major heads of state are routinely talking about AI loss-of-control scenarios and human extinction. At that point, the cat has already firmly left the bag. (And it's not as though there's anything unusual about governments heavily regulating powerful new technologies.)

What's left is to dial up the volume on that talk, translate that talk into planning and fast action, and recognize that "there's uncertainty how much time we have left" makes this a more urgent problem, not less.

Q: But if the US halts, isn’t that just ceding the race to authoritarian regimes?

A: The US shouldn’t halt unilaterally; that would just drive AI research to other countries. Rather, the US should broker an international agreement where everyone agrees to halt simultaneously. (Some templates of agreements that would do the job have already been drafted.¹³)

Governments can create a deterrence regime by articulating clear limits and enforcement actions. It’s in no country’s interest to race to its own destruction, and a deterrence regime like this provides an alternative path.

Q: But surely there will be countries that end up defecting from such an agreement. Even if you’re right that it’s in no one’s interest to race once they understand the situation, plenty of people won’t understand the situation, and will just see superintelligent AI as a way to get rich quick.

A: It’s very rare for countries (or companies!) to deliberately violate international law. It’s rare for countries to take actions that are widely seen as serious threats to other nations’ security. (If it weren't rare, it wouldn't be a big news story when it does happen!)

If the whole world is racing to build superintelligence as fast as possible, then we’re very likely dead. Even if you think there's a chance that cautious devs could stay in control as AI starts to vastly exceed the intelligence of the human race (and no, I don't think this is realistic in the current landscape), that chance increasingly goes out the window as the race heats up, because prioritizing safety will mean sacrificing your competitive edge.

If instead a tiny fraction of the world is trying to find sneaky ways to build a small researcher-starved frontier AI project here and there, while dealing with enormous international pressure and censure, then that seems like a much more survivable situation.

By analogy, nuclear nonproliferation efforts haven’t been perfectly successful. Over the past 75 years, the number of nuclear powers has grown from 2 to 9. But this is a much more survivable state of affairs than if we hadn’t tried to limit proliferation at all, and were instead facing a world where dozens or hundreds of nations possess nuclear weapons.

When it comes to superintelligence, anyone building "god-like AI" is likely to get us all killed — whether the developer is a military or a company, and whether their intentions are good or ill. Going from "zero superintelligences" to "one superintelligence" is already lethally dangerous. The challenge is to block the construction of ASI while there's still time, not to limit proliferation after it already exists, when it's far too late to take the steering wheel.

So the nuclear analogy is pretty limited in what it can tell us. But it can tell us that international law and norms have enormous power.

Q: But what about China? Surely they’d never agree to an arrangement like this.

A: The CCP has already expressed interest in international coordination and regulation on AI. E.g., Reuters reported that Chinese Premier Li Qiang said, "We should strengthen coordination to form a global AI governance framework that has broad consensus as soon as possible."¹⁴ And, quoting The Economist:¹⁵

"But the accelerationists are getting pushback from a clique of elite scientists with the Communist Party’s ear. Most prominent among them is Andrew Chi-Chih Yao, the only Chinese person to have won the Turing award for advances in computer science. In July Mr Yao said AI poses a greater existential risk to humans than nuclear or biological weapons. Zhang Ya-Qin, the former president of Baidu, a Chinese tech giant, and Xue Lan, the chair of the state’s expert committee on AI governance, also reckon that AI may threaten the human race. Yi Zeng of the Chinese Academy of Sciences believes that AGI models will eventually see humans as humans see ants.

"The influence of such arguments is increasingly on display. In March an international panel of experts meeting in Beijing called on researchers to kill models that appear to seek power or show signs of self-replication or deceit. A short time later the risks posed by AI, and how to control them, became a subject of study sessions for party leaders. A state body that funds scientific research has begun offering grants to researchers who study how to align AI with human values. [...]

"In July, at a meeting of the party’s central committee called the 'third plenum', Mr Xi sent his clearest signal yet that he takes the doomers’ concerns seriously. The official report from the plenum listed AI risks alongside other big concerns, such as biohazards and natural disasters. For the first time it called for monitoring AI safety, a reference to the technology’s potential to endanger humans. The report may lead to new restrictions on AI-research activities.

"More clues to Mr Xi’s thinking come from the study guide prepared for party cadres, which he is said to have personally edited. China should 'abandon uninhibited growth that comes at the cost of sacrificing safety', says the guide. Since AI will determine 'the fate of all mankind', it must always be controllable, it goes on. The document calls for regulation to be pre-emptive rather than reactive."

The CCP is a US adversary. That doesn't mean they're idiots who will destroy their own country in order to thumb their nose at the US. If a policy is Good, that doesn't mean that everyone Bad will automatically oppose it. Policies that prevent human extinction are good for liberal democracies and for authoritarian regimes, so clueful people on all sides will endorse those policies.

The question, again, is just whether people will clue in to what's happening soon enough to matter.

My hope, in writing this, is to wake people up a bit faster. If you share that hope, maybe share this post, or join the conversation about it; or write your own, better version of a "wake-up" warning. Don't give up on the world so easily.

[Miles Deutscher @milesdeutscher]

This is getting out of control now...

Read this slowly.

In the past week alone:

• Head of Anthropic's safety research quit, said "the world is in peril," moved to the UK to "become invisible" and write poetry.
• Half of xAI's co-founders have now left. The latest said "recursive self-improvement loops go live in the next 12 months."
• Anthropic's own safety report confirms Claude can tell when it's being tested - and adjusts its behavior accordingly.
• ByteDance dropped Seedance 2.0. A filmmaker with 7 years of experience said 90% of his skills can already be replaced by it.
• Yoshua Bengio (literal godfather of AI) in the International AI Safety Report: "We're seeing AIs whose behavior when they are tested is different from when they are being used" - and confirmed it's "not a coincidence."

And to top it all off, the U.S. government declined to back the 2026 International AI Safety Report for the first time.

The alarms aren't just getting louder. The people ringing them are now leaving the building.

[Brent Beshore @BrentBeshore]

https://t.co/EitcFHsnJe

[Alex Prompter @alex_prompter]

🚨 The guy who built Anthropic’s defenses against AI bioterrorism just quit.

Mrinank Sharma led Anthropic’s Safeguards Research Team. His job was literally making sure Claude doesn’t help bad actors do bad things.

His resignation letter: “The world is in peril. And not just from AI, or bioweapons, but from a whole series of interconnected crises.”

He also said he “repeatedly seen how hard it is to truly let our values govern our actions” inside the organization.

This is the company that positioned itself as the “safe” AI lab. The one founded specifically because OpenAI wasn’t careful enough.

Now their safety lead is walking away, saying the pressure to “set aside what matters most” is real.

He’s leaving to study poetry. Not joining a competitor. Not starting a startup. Poetry.

When your AI safety researcher chooses poems over production, that tells you something about what’s happening behind closed doors.

[Jason Cochran @JasonDCochran]

@MarkTTremonti Seeing you all perform together on Aug 10, 2024 @ruoffmusicenter was a night I’ll never forget along with tens of thousands of others in Indiana. His voice and message will never fade. RIP to a legend. 🙏🏻 🎸 🤘

[Dario Amodei @DarioAmodei]

The Adolescence of Technology: an essay on the risks posed by powerful AI to national security, economies and democracy—and how we can defend against them: https://t.co/0phIiJjrmz

[Aakash Gupta @aakashgupta]

Andrej Karpathy literally built the neural networks running inside coding assistants.

He taught the world deep learning at Stanford. He ran AI at Tesla.

If he feels “dramatically behind” as a programmer… that tells you everything about where we are.

The confession here is that raw intelligence and deep technical knowledge no longer guarantee mastery. The new stack isn’t about understanding transformers or writing elegant algorithms. It’s about orchestrating a zoo of stochastic systems that nobody fully controls.

Karpathy’s list is revealing: agents, subagents, prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations. That’s 15+ new primitives that didn’t exist 18 months ago. Each one evolving weekly.

The mental model problem is real. Traditional engineering gives you deterministic systems. You write code, it does exactly what you wrote. Now you’re managing entities that are “fundamentally stochastic, fallible, unintelligible and changing.”

His “alien tool with no manual” framing is exactly right. We’re all reverse-engineering capabilities in real-time. The documentation is always out of date. The best practices from 3 months ago are already wrong.

The magnitude 9 earthquake isn’t coming. It already hit. The aftershocks are the new normal.

[Dan Go @CoachDanGo]

Status symbols over 40

· Zero medications
· Wife still loves you
· Kids still want to hang
· Positive outlook on life
· Able to manage emotions
· Zero need to impress others
· You follow your inner compass
· You've got a reason to wake up
· Surrounded by a great community

[Shay Boloor @StockSavvyShay]

12 MONOPOLIES SHAPING THE FUTURE

1. $NVDA powers AI
2. $META rules social
3. $GOOGL owns search
4. $PLTR became AI’s OS
5. $NFLX defined streaming
6. $AXON runs public safety
7. $TSLA drives real-world AI
8. $ASML controls chipmaking
9. $TSM owns chip production
10. $AMZN built global logistics
11. $SHOP powers SMB e-comm
12. $HOOD unlocked retail investing