Aidarbek Suleimenov

ARC-AGI-3 is out now! We've designed the benchmark to evaluate agentic intelligence via interactive reasoning environments. Beating ARC-AGI-3 will be achieved when an AI system matches or exceeds human-level action efficiency on all environments, upon seeing them for the first time. We've done extensive human testing that shows 100% of these environments are solvable by humans, upon first contact, with no prior training and no instructions. Meanwhile, all frontier AI reasoning models do under 1% at this time.

AI (or any human) will never get 100% in ARC-AGI-3 Let me introduce you to the worst game mechanic you can find in a puzzle game: fog of war At the start, if you go right instead of bottom, you're wasting many moves. Your score on this level literally depends on a conflip!

Jevons paradox is happening in real time. Companies, especially outside of tech, are realizing that they can now afford to take on software projects that they wouldn’t have been able to tackle before because now AI lets them do so. We’re going to start to use software for all new things in the economy because it’s incrementally cheaper to produce. Marketing teams at big companies will have engineers helping to automate workflows. Engineers in life sciences and healthcare will automate research. Small businesses will hire engineers for the first to build better digital experiences. And as long as AI agents still require a human who understands what to prompt, how to review when an agent goes off the rails, how it guide back, how to maintain the system that was built, how to fix the ongoing bugs, and more, we will still have humans managing these agents. This is why all the advice you get of not going into engineering is wrong. The world is going to increasingly be made up of software, and the people that understand it best will be in a strong economic position. This will happen in other roles as well where output goes up and demand increases.

Did a deep dive on teabags after the TL told us last week they were killing us all with microplastics. I knew twinnings, stash, and a few others claimed to be plastic free, but wondered about the tech. Turns out they have this machine (worth $300,000 new, from Germany) that makes and fills the teabags and it works by pressing super thin paper together to create a long tube and then filling and filing, then using a string to stitch it back together…. By doing this they use no glue, no staples, and no plastic. Never really stopped to look but a pretty cool marvel of engineering in its simplicity. Thank you for joining me in my special interest today.

William on how an early stage employee takes way more risk than a founder: "If I'm making $400-500K at Google or Meta and go to an early stage company to get 1% of this company and make $90,000. I've now changed the trajectory of my life, that's a lot of risk. But as a founder, you're not. It's a much higher likelihood that of the next round, regardless of your company, you'll be able to sell some secondary. If it shuts down, you can get employed at a great company, and you have a CEO on your resume. That first employee, they have first employee at a failed company. That's actually not a great resume line item. So we've de-risked the founder, but we haven't de-risked the early stage employee."

these photos are so much funnier to me knowing that they are not wearing shoes

BREAKING: Thoma Bravo just released their LP meeting slides. The world's largest software PE firm thinks the market has it completely wrong on software right now. Public markets are panic-selling software based on AI fear. Here's what they're seeing:

In the early-mid 2010s, if your search history was really good, Google would automatically invite you to foo bar and solving that would get you an interview at Google Now, if your agent history is really good on GStack, YC will (soon) automatically fill your YC application and that would get you into YC YC is the agent native YC

Jevons paradox is happening in real time. Companies, especially outside of tech, are realizing that they can now afford to take on software projects that they wouldn’t have been able to tackle before because now AI lets them do so. We’re going to start to use software for all new things in the economy because it’s incrementally cheaper to produce. Marketing teams at big companies will have engineers helping to automate workflows. Engineers in life sciences and healthcare will automate research. Small businesses will hire engineers for the first to build better digital experiences. And as long as AI agents still require a human who understands what to prompt, how to review when an agent goes off the rails, how it guide back, how to maintain the system that was built, how to fix the ongoing bugs, and more, we will still have humans managing these agents. This is why all the advice you get of not going into engineering is wrong. The world is going to increasingly be made up of software, and the people that understand it best will be in a strong economic position. This will happen in other roles as well where output goes up and demand increases.