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Artificial Intelligence and the Image of God (2003)

digitalcommons.csbsju.edu
1 分·作者 coldcache·3个月前·0 评论

Wii Reinforcement Learning

github.com
2 分·作者 coldcache·7个月前·0 评论

Lab-Grown Chocolate

theguardian.com
4 分·作者 coldcache·8个月前·0 评论

OpenFold3-Preview

github.com
1 分·作者 coldcache·9个月前·0 评论

Tether CEO confirms major capital raise at a reported $500B valuation

cnbc.com
3 分·作者 coldcache·10个月前·4 评论

评论

coldcache
·3个月前·讨论
That's a fair point. That probably makes more sense, especially when viewed from a company-specific perspective. Each individual actor probably has much more to gain by trying to actually compete than by trying to commoditize the complement.

If viewed from a national perspective, then the decision calculus could get more confusing. I can imagine that commoditizing LLMs might cost substantially less than trying to be a leader in the space. Of course, there is also less to gain in commoditizing LLMs versus being a leader.

I'm not sure, though, and you bring up good points.
coldcache
·3个月前·讨论
This perspective is pretty interesting: https://federicocarrone.com/articles/china-commoditizing-the...
coldcache
·6个月前·讨论
I'm reminded of this: https://www.astralcodexten.com/p/heuristics-that-almost-alwa...
coldcache
·7个月前·讨论
MIT OCW does a great job of this
coldcache
·7个月前·讨论
Beli is a pretty popular app with this functionality
coldcache
·8个月前·讨论
I believe the repo linked in the post is actually quite different, converting Python to runnable whitespace.
coldcache
·9个月前·讨论
“No one ever got fired for hiring IBM”
coldcache
·9个月前·讨论
I wish the data in this article was presented as a map with colors indicating the prices.
coldcache
·10个月前·讨论
It’s a superset of JSON. I guess they mean it’s backwards compatible in terms of reading existing JSONs?
coldcache
·去年·讨论
I think Quasar is fairly confirmed [0] to be OpenAI.

[0] https://x.com/OpenAI/status/1911782243640754634
coldcache
·去年·讨论
For reference, I think a common approximation is one token being 0.75 words.

For a 100 page book, that translates to around 50,000 tokens. For 1 mil+ tokens, we need to be looking at 2000+ page books. That's pretty rare, even for documentation.

It doesn't have to be text-based, though. I could see films and TV shows becoming increasingly important for long-context model training.
coldcache
·去年·讨论
Interesting link. Worth noting that the pull requests were judged by o3-mini. Further, I'm not sure that 55% vs 45% is a huge difference.