Why AI labs are shelving their best models - Dylan Patel
31 segments
The best model that exists in the world
was trained in February. We've already
seen a [music] huge slowdown for the AI
labs, right? This regulation that they
advocate for is [music] actually slowing
down the labs a lot more than it slows
down, you know, sort of the open-source
Chinese language models. [music] You
know, OpenAI not releasing Astra, OpenAI
stopping training for 2 weeks, Anthropic
not releasing what their safety
assessment [music] said is model 2,
which is widely believed to be the next
version of Methuselah.
>> [music]
>> They're clearly not releasing their best
models, and in which case their revenue
per megawatt stalls or even can start to
decline again because other models are
competitive again. So, it's not that
they're falling behind, it's just that
they're not releasing their best stuff.
[music] What if there is some regulatory
impact that prevents them from releasing
their best models? Now, their revenue
per megawatt does [music] not climb as
fast, then their ability to buy that
incremental compute for a higher price
than everyone else
>> [music]
>> starts to diminish.
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The video discusses the potential negative impacts of AI regulation on leading AI labs, suggesting that such measures might be hindering their ability to release their best models and maintain a competitive edge in revenue and compute acquisition.
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