ford

Joined 4 years ago

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123
Member since
Dec 20
jakew at duck.com

ML + Eng

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Recent submissions

Comment · 7 days ago
I don't know - I've done physical therapy before, and a surprisingly big component includes neurological exercises (vs exclusively strengthening and stretching, like you might expect).

It's feasible to me that thinking/visualizing a motion could improve your ability to recruit those muscles

Comment · 20 days ago
I wonder how much state-sponsored corporate espionage there is. I'm not an OpenAI employee, but my mental model of tech startups involves a lot of openness/trust (it's one of the reasons people work there).

I have to imagine many techniques/plans/figures are open secrets to nation states.

Comment · 23 days ago
These are neat - and the source of the many Jev clones we've seen. I think their recent funding round is in part because of their algorithms/data. It remains to be seen if that's a big enough edge to be worth 1 billion+ dollars
Comment · 27 days ago
I think that extreme prosperity like this (another example - Baby Boomers in the US) is a lagging indicator of geopolitical/industrial power.

Britain was prosperous in the 1800s because of colonialism and the industrial revolution. The US was prosperous in the second half of the 1900's because they capitalized on not being decimated by WW2.

IMO Britain's success in this era was actually sustained prosperity driven by the working class, and the failure to maintain global leadership followed from the victorian attitude of the elite.

Comment · 1 month ago
I think Jev also innovated on data & algorithms, but it remains to be seen if it's enough to be meaningfully better than traditional LLMs + a few tweaks.
Comment · 1 month ago
It's hard enough to build them in the US that multiple companies are unironically spending 10s of millions of dollars to try to build them in space

Which cynics could say is marketing hype, but I tend to believe it's extremely difficult to build anything land/energy intensive in the modern United States

Comment · 1 month ago
Comment · 1 month ago
You're better off going directly to artificial analysis, this is a feature-poor/misleading/outdated repackaging

Ex. this type of price estimation is quite naive - some models can require 2-3x the number of tokens to achieve the same level of intelligence. Artificial Analysis' own cost per task is a more fair estimation of cost.

Comment · 1 month ago
Comment · 2 months ago
I've had Gemini model API use degrade the most out of OAI/Anthropic/Google (often "over capacity" vs true failures)

Not sure on consumer/product use though

Comment · 2 months ago
It'd be nice if we could change the bureaucratic process, not the interface
Comment · 2 months ago
I'm interested how to mitigate risk without over-regulating & stifling innovation from exactly the people who are most thoughtful about the risk (which is who we should want innovating & leading).

Even though this article is new, I'm not sure it has materially new ideas vs what some other labs have been claiming for years.

Enforcing safeguards that apply globally to good and bad actors alike so far as proved quite difficult - compute is essentially the only lever, and that's tenuous at best.

Unlike nuclear arms (where functionally there's a limit at MAD), so far we believe that with enough compute, energy, and algorithms, intelligence will continue to scale (and not only scale - but compound)

Comment · 2 months ago
Comment · 2 months ago
Do you still believe this considering those companies live and die by the CCP? Would you feel differently if scale was reversed and Meta was the upstart trying to compete with Xiaomi/etc?

I'm right there with you questioning Meta's value for society, but I do believe it has less opportunity for abuse/manipulation

Comment · 2 months ago
I've been showing people chatjimmy for months - it's incredible. Both reasoning and tool use generation scale with TPS. Imagine 100x more reasoning on a model, or 100x parallel tool uses.

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