Luke Chaj @luke_chaj
aspiring solo dev, embracing ai. notes on ai + ai forecasting. Somewhere Peaceful Joined April 2023-
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Ilya saw reasoning, or more like reasoning potential. I think it’s obvious by now. It’s not obvious what they did after that. They needed to create a strategy to fight Google and its enormous compute. Since that time, they have focused on efficiency and created tons of diverse…
I wonder whether this translates to world models.
I wonder whether this translates to world models.
I am contemplating this statement a lot recently. It feels possible, and for this reason I am not sure what to think about it. Training compute will increase only a few times before the end of 2026, so there is that. On the other hand, there is anecdotal evidence that GPT-5 Pro…
I am contemplating this statement a lot recently. It feels possible, and for this reason I am not sure what to think about it. Training compute will increase only a few times before the end of 2026, so there is that. On the other hand, there is anecdotal evidence that GPT-5 Pro…
Yes, having 10–20× less compute than the top lab means the group is still in the race.
Yes, having 10–20× less compute than the top lab means the group is still in the race.
Is this real life? It’s gotten so ridiculous that no parody can do it justice
Is this real life? It’s gotten so ridiculous that no parody can do it justice
This will accelerate things a lot.
This will accelerate things a lot.
Huge. If that happens, margins on AI compute will go down significantly.
Huge. If that happens, margins on AI compute will go down significantly.
Maybe I’m mistaken, but this is mostly “just” SSM like gains? Obviously important for agents, though, but not at this size, so we don’t know anything practical, I guess.
I need new bio x.com/luke_chaj/stat…
Google is starting to dominate in some visual areas, likely because of its “infinite” data. Gemini 2.5 is a good model but lacks agentic behaviour, so they still need to build RL pipelines like everyone else. If Gemini solves agency with Gemini 3, TPUs could make them almost…
Google is starting to dominate in some visual areas, likely because of its “infinite” data. Gemini 2.5 is a good model but lacks agentic behaviour, so they still need to build RL pipelines like everyone else. If Gemini solves agency with Gemini 3, TPUs could make them almost…
Ok, so this is so huge that I'm not sure what to think about it. It would be impressive if this model were 2 or 3x faster, but 53x faster generation is confusing, and my first thought is where is the catch or if this scales?
Ok, so this is so huge that I'm not sure what to think about it. It would be impressive if this model were 2 or 3x faster, but 53x faster generation is confusing, and my first thought is where is the catch or if this scales?
What is most surprising is that it supposedly requires a consumer GPU only. Even if it's a 5090 now, it's in the range for reducing it to something average. I'm not sure how world persistence and introducing custom mechanics will work here without very complex text/visual prompts…
What is most surprising is that it supposedly requires a consumer GPU only. Even if it's a 5090 now, it's in the range for reducing it to something average. I'm not sure how world persistence and introducing custom mechanics will work here without very complex text/visual prompts…
Yeah, and if not for the cost reductions and compute constraints, we would see clear superexponential.
Yeah, and if not for the cost reductions and compute constraints, we would see clear superexponential.
gains are impressive, V4 will be a serious competitor to western sota
gains are impressive, V4 will be a serious competitor to western sota
Introducing DeepSeek-V3.1: our first step toward the agent era! 🚀 🧠 Hybrid inference: Think & Non-Think — one model, two modes ⚡️ Faster thinking: DeepSeek-V3.1-Think reaches answers in less time vs. DeepSeek-R1-0528 🛠️ Stronger agent skills: Post-training boosts tool use and…
Amazing stuff, agents are coming but need more compute.
Amazing stuff, agents are coming but need more compute.
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