stephenlearns @stephenlearns

you messed up. you failed. whatever. it’s over. the past literally does not exist anymore. stop giving yesterday the power to ruin today. take the lesson and leave the rest behind. there is still a whole life in front of you. let the past stay where it is.

I said "auto-regressive LLMs, in and of themselves, will not lead human-level AI" That statement is still totally true. First, the reasoning abilities of current AI systems are based non-auto-regressive search (which is what I have always advocated for). But AFAICT, they do it in token space, which is limited and inefficient. I have claimed that human-like reasoning must be a search in continuous representation space. It looks like the industry is moving towards that. Second, the self-improvement methods, as currently practiced, only work for domains where the quality of outputs can be scored without human intervention, such as mathematics, code, and scenarios that can be simulated accurately. Not anything else. Humans and animals learn new skills way more efficiently than current RL methods. Third, the multimodal capabilities of current AI assistants generally use separately-trained encoders (that are not LLMs). This is also what I've been advocating. Except that I think the best way to do this is with JEPA trained with self-supervised learning. The research community is clearly moving towards that (3000 papers on JEPA in just 4 years). Fourth, if LLMs were a path to human-level AI, we would have domestic robots and Level-4 or Level-5 self-driving cars for consumers by now. And we don't. We certainly don't have cars that can learn to drive in 20 hours or practice like any teenager. We're still missing something pretty huge to claim human-level intelligence (let alone superhuman). Sure, we now have computer systems that are impressive, very useful, and whose performance is superhuman in an increasing number of domains (coding being one of them). But that's true of the entire history of progress in computer technology. Lastly, there is a basic confusion about what intelligence actually is. It is not the mere accumulation and regurgitation of existing declarative knowledge (which is essentially what LLMs do). As Jean Piaget famously said, "intelligence is not what you know, it is what you do when you don't know." It is your ability to solve new problem without any prior training, to act in previously-unknown scenarios, and to adapt very quickly to new situations with minimal training. We're still far from that.

Running Jev to see how fast it can remove negative comments from chat

Consistency beats talent. Every time. I used to think I needed to be the smartest guy in the room. Turns out showing up every single day and doing the unglamorous reps is the actual cheat code for certs, for coding, for anything hard.

I’ve had 100s of engineers and new college grads ask me how to get a job at Apple. I tell them to go ship an app in the App Store and then I’d promise to at least hop on a call with them. Only 2 ever got back to me with a shipped app. Most people won’t put in the work. Go put in the work.

NetworkChuck @NetworkChuck

a day ago

Consistency beats talent. Every time. I used to think I needed to be the smartest guy in the room. Turns out showing up every single day and doing the unglamorous reps is the actual cheat code for certs, for coding, for anything hard.

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@idrisscodes congrats man! 🔥

@mitsuhiko as a junior figuring out how to still learn things while using AI. feel like before you learned through trial and error, using AI I rarely ever get that experience

"The craft of writing code will disappear. Yes there are Italian shoemakers around. But look at your feet."

Thorsten Ball @thorstenball

2 days ago

Most predictions I see are still way too conservative. Here's mine

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So, Tibo replied to my post in which i was "complaining" about not being able to spend $200 on their subs with this: I'm not poor, and thank god my freelance work is stable, but here you can see how much i spent this week on token usage. Is it a legitimate question?

Tibo @thsottiaux

2 days ago

@stemonteduro You main Sol? And out of curiosity, you never buy credits?

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Through the VOICE trial, Terry is using his Neuralink implant to help fine-tune a brain-to-voice interface for himself and others who can’t speak. He trained the algorithm first by miming speech as best he could, then by simply thinking the words and hearing them come out in his own natural voice. Powered by Grok Voice from @SpaceXAI

@trq212 better late than never

anthropic still not adopting agents.md is straight nonsense lol

OpenJEV, o povo é ligeiro mesmo.. openjev.com

found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant

New cat alert! A call from a wildlife sanctuary about a "weird cat" has led to the first new cat species discovered in over 100 years in Bolivia’s Yungas forest ecoregion. Learn more about this feline surprise: on.natgeo.com/JRuaGj

@neuralink grateful to be alive in this era. amazing work by the Neuralink team! 👏

A beautiful surprise

preview of how fast browser use can be powered by typesafe's jev and opencode's browser use cli

Filip @Neriousy

4 days ago

Testing apps with @typesafeai jev & @opencode will be soooo fast small demo:

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