gradient learner

Joined May 2019
125 Photos and videos
@spatial retweeted
The United States is no longer the best place to build an AI lab.
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@spatial retweeted
They didn’t mean pause AI research, they meant pause *your* AI research
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@spatial retweeted
capabilities are getting locked up. come join the fight jobs.ashbyhq.com/PrimeIntell…
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@spatial retweeted
As believers of open research, we are disappointed to see Anthropic silently degrading Fable 5 for AI development "Any topic related to building pretraining pipelines, distributed training infrastructure, or ML accelerator design... may have limited effectiveness through Claude via methods such as prompt modification, steering vectors, or parameter-efficient fine-tuning." Not only do they get to decide what you use LLMs for in research, but this also enables them to silently intervene in your research without you knowing. This sets a dangerous precedent. If a model refuses openly, users can understand the boundary. If a model falls back to another model, users can still evaluate the difference. But if a model silently modifies or weakens its own answers while still pretending to help, researchers lose the ability to know whether a failed result came from their own idea, their implementation, or an invisible intervention by the model provider. That is not safety. Safety policies should be transparent, auditable, and user-visible. On top of that, the people most harmed by this are not the largest labs with massive teams and proprietary infrastructure. It is the independent researchers, academic groups, startups, and open-source builders who rely on public tools to compete, innovate, and pioneer AI for everyone else.
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@spatial retweeted
Replying to @dpetrou @karpathy
Yes. Locking in a permanent status quo power structure. Incredibly unsafe, and damaging for humanity's prospects.
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@spatial retweeted
Mythos this, Fable that Watch it get mogged by Qwen3.7 27B
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@spatial retweeted
And so I stop using Claude ig
mythos will be bad ON PURPOSE on ai "frontier llm research" tasks, this is very very sad for the research community also the fact that this is un purpose not visible to the user is crazy
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@spatial retweeted
Replying to @karpathy
This is not a day for celebrating, Andrej. It's a very dark and very sad day, and the damage may be impossible to undo.
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@spatial retweeted
It seems like Anthropic just released the best gift for OpenAI they ever could have made
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@spatial retweeted
The most e/acc thing OpenAI could do rn is release a Mythos-class model without AI R&D capabilities nerfed. Everyone should have access to the tools to create artificial intelligence.
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@spatial retweeted
Labs starting to pull up the ladders on the ability to diffuse AI was inevitable. Doing it without telling the user is misaligned.
When Fable 5 is used for frontier LLM development, it does not notify the user and instead limits the model’s capabilities through methods such as prompt modification, steering vectors, and PEFT. Anthropic estimated that this would affect approximately 0.03% of traffic.
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@spatial retweeted
ma man @karpathy what’s up here
mythos will be bad ON PURPOSE on ai "frontier llm research" tasks, this is very very sad for the research community also the fact that this is un purpose not visible to the user is crazy
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@spatial retweeted
open source must win
mythos will be bad ON PURPOSE on ai "frontier llm research" tasks, this is very very sad for the research community also the fact that this is un purpose not visible to the user is crazy
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@spatial retweeted
DO NOT USE FABLE 5 FOR AI R&D/CODING!!
mythos will be bad ON PURPOSE on ai "frontier llm research" tasks, this is very very sad for the research community also the fact that this is un purpose not visible to the user is crazy
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That is wild lmao
mythos will be bad ON PURPOSE on ai "frontier llm research" tasks, this is very very sad for the research community also the fact that this is un purpose not visible to the user is crazy
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@spatial retweeted
Set is ready @ElonMusk We built it 25min from downtown Austin and can shoot anytime in the next 7 days on 1h notice. Humanity is on the verge of becoming a multi-planet species and spacefaring civilization. My goal with this interview is to help people viscerally feel what that future is going to look like and get everyone excited to help build it.
I guess this is a good time to announce we are currently in the process of building a set for an interview with Elon. Will be finished next month and should be legendary. Elon - lmk if you're in
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@spatial retweeted
Three Predictions: 1. Some form of AI, probably neurosymbolic in nature, will come that is far more economical and data- and energy-efficient than LLMs, and it will make an absolute fortune. 2. LLMs, on the other hand, will never be all that profitable (aside from the chip companies selling shovels in the gold rush). 3. Today’s gigantic bets are premature, and most won’t pay off.
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@spatial retweeted
The AI Bubble is being driven by the fantasy that AI can replace human labour cost effectively. It can’t. The cost of compute is too high. Semiconductors are too expensive. GPU’s, CPU’s, even a commodity like NAND flash memory. Power is too expensive. Water is too scarce. Key metals are too expensive. It’s cheaper for humans to do the work than burning tokens using Claude Code or OpenAI Codex. The layoffs were premature. Humans are cheaper than compute.
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@spatial retweeted
May 30
i have seen enough proof now that using a coding agent is a deep skill it's confusing because the people you see heavily using them produce horrible results but that's because it's a skill! you can get better and the ceiling seems pretty high - this is very exciting to me
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I think it’s time for harness benchmarks
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