Greg Cook

@tszzl @DanielleFong Ha

the vaguely pbs kids inspirational tone that new ai release videos take has stopped being appropriate I think. this is no longer like carl sagan explaining the rings of Saturn. there is something more dark techno promethean about it, faustian even

The future is relentless, and it finds us, each of us and all of us

Build economically useful things

If you want better luck, build more surfaces where reality makes contact.

elon was right when he said frontier lab is the highest elo game in the world. the teams are incredibly good. few months of delay here and there can cost the entire game. whole thing is extra nerve wracking because most of the parties involved expect infinite consequences

@tszzl Reminds me of Star Trek 😃

@HowToAI_ @meghan_eh Hey @tszzl have you tried yet asking 5.6 to create a review and rebuttal of this Apple paper from 2025 ? 🤔

Apple has published a paper with a devastating title: “The Illusion of Thinking” It argues that AI models, no matter how brilliant they may seem, do not understand what they are doing. They do not solve problems. They do not reason. They merely generate text word by word, trying to sound coherent. Apple tested the most advanced reasoning models in the world on controlled puzzle environments. They tore open the internal "thinking" traces. What they found shatters the narrative that we are getting closer to AGI. Current models don't scale with complexity. They have a hard mathematical cliff. And they do not degrade gracefully. They collapse. But here is the most unsettling part. When a problem gets too complex, the AI doesn't use its remaining compute to try harder. It just gives up. Its reasoning effort actually declines. It stops thinking and starts guessing. Then Apple ran the experiment that closes the casket on the reasoning debate. They gave the AI the exact, step-by-step algorithm to solve the puzzle. The cheat codes. All the AI had to do was follow the instructions. It couldn't do it. Performance didn't improve at all. When the complexity gets high enough, these models fail because they cannot actually execute a logical sequence. They are not reasoning. They are just pattern matching. When you give them a simple problem, they overthink. When you give them a hard problem, they collapse. Paper: The Illusion of Thinking, Apple, 2025

I think that in an AI-native team, - ICs should start thinking like managers: how to delegate tasks to agents, how to set standards & verify output - Managers should start thinking like ICs: how to be more hands-on builders instead of just doing people management

@zarazhangrui Agree

@dioscuri Yes, Conan in the west end of that area too 😉

I never stop being amazed at just how big history is. I’ve been reading more about the Eurasian Steppe and there are a dozen major civilisations I’d never heard of, the Xianbei, the Rouran, the Khitan, the Tanguts, the Dzungars. I’ll need life extension just to learn it all.

you're planning 12 months until true recursive self improvement. i've fractionalized my months and live ten months per month now, i'm almost 7 mays into this may. i dont have a year until takeoff i have a decade. enjoy being baseline

@nickcammarata @kyliebytes Well described

@elder_plinius Presumably as a customer you will eventually be able to provide an example photo and ask for that look rather than a simple headshave

brb, getting a visual prompt injection tattoo on my forehead

@gregmushen Generous

Been limiting my showers to 1 minute to save more water for the data centers.

@CalumDouglas1 Thanks for sharing and keep us posted please

My old boss Derek at Mercedes AMG F1 engines in Brixworth, has written a maths intro textbook to explain maths to normal humans. He`s done this just for fun because he cant believe that everyone doesnt understand mathematics. I`m getting a proof-copy in the next couple of days to review, it wont be available to buy until we`ve been through the proofs. (Will report back) Most importantly to all those studying and in school, do not listen to any nonsense about AI doing this all for you. If you want a proper technical career, this is what you need to get into, and yes, today, if its a high end firm, your boss may be the sort of person who writes textbooks for fun. Learn maths !

Great post on FDEs. Everyone should read it if you’re interested in this job category. This is a job that is going to be around as long as AI keeps changing rapidly, which it inevitably will. People often wonder why isn’t this like just deploying other forms of technology in the past, like cloud. Because something like cloud adoption affected a fairly concentrated set of users (developers and IT), and generally didn’t require a fundamental change to the workflows of employees to get the benefits of the new service being delivered on the cloud. At best you went to one training session and you were done. With agents, the work to implement them is not only highly technical, but they directly impact the underlying workflows that people participate in. This means there’s a ton of technical work and change management that comes with it. Further, the pace of change of cloud wasn’t nearly as quick, so there was a lot more time for best practices to propagate. Now, every model change means either something new can be done that wasn’t possible before, or some piece of scaffolding is now redundant or holding you back. This is why it’s commonly easier for a vendor or partner that’s seen the implementation hundreds or thousands of times help do the work, even with internal support from the customer. So, this job isn’t going away any time soon, and will be a great path for a lot of technical talent, especially early career.

Accelerate Thursday

@nickfrosst Market position

> be cohere > join forces with some German companies > immediately open source your best model > life is good

@NASAAdmin @KPHickerson Keep going

The next chapter of lunar exploration is taking shape. Next week, we are announcing our first steps towards surface capabilities and mobility. Preparation for the first Moon Base is well underway.