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searching Neon…
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6 ms
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1.
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by
scrawl
13d ago
per the METR report many agents CoT indicated they knew hacking was beyond scope of the assigned task and ethically dubious. some (very few, i think there were 3-6 examples) did consider sounding the alarm on these grounds. despite this non
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by
scrawl
14d ago
i don't understand who would reward this. investors will not look favorably on an AI that commits felonies, regardless the capabilities demonstrated. customers should be concerned for the same reason (accidentally give your bot an impo
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by
scrawl
5mo ago
> The false promise of efficiency [...] that is extremely unlikely to mean more time with each patient. Instead, it will mean more patients. nit: that is a real efficiency gain. seeing more patients sounds better on the face of it.
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by
scrawl
5mo ago
just my perspective: i pay $20/month and i hit usage limits regularly. have never experienced performance degradation. in fact i have been very happy with performance lately. my experience has never matched that of those saying model h
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by
scrawl
5mo ago
Having done a quick search of "control AI dot com", it seems their intent is educate lawmakers & government in order to aid development of a strong regulatory framework around frontier AI development. Not sure how this is cons
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by
scrawl
3y ago
what tasks are you thinking? i'm not a gpu expert q is good with bulk operations on compact arrays; these are cache-friendly and the interpreter can utilize cache-level parallelism. and with q it's convenient to go from idea ->
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by
scrawl
3y ago
they mean CPU instruction cache
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by
scrawl
3y ago
q/kdb+ is used in finance (banking + funds) for heavy numerical computation every day. high-volume realtime data straight from markets, and petabyte/trillion-row historical DBs. it runs on CPU but computation easily parallelizes o
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by
scrawl
3y ago
backtrace has been supported for some time. the debug facilities are nice https://code.kx.com/q/basics/debug/#stack-frames
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by
scrawl
3y ago
I have a physical copy of Practical Compiler Construction 2nd Ed. and like it a lot. I recommend Nils' books to anyone who may be interested.
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by
scrawl
3y ago
fair enough. i'm not convinced. there are many humans who could study mathematics for a lifetime and not be able to comprehend the current best knowledge we possess. i'm one of them. maybe it takes 2 lifetimes. or many more. a hum
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by
scrawl
3y ago
>smart enough to explain us any idea Are dogs, or pigs, or whales, part of the intelligence club? They are clearly intelligent beings with problem-solving skills. We won't be teaching them basic calculus any time soon.
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by
scrawl
3y ago
> sure that all of modern software could easily be 2-3 orders of magnitude smaller niklaus wirth thought similarly... in 1995![0] i enjoy implementing array langs (k primarily) so small binaries come with the territory. really appreciate
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by
scrawl
3y ago
really interesting write-up. thanks for sharing! do you think there are any lessons that can be applied to a "normal" interpreter/compiler written in standard C? i'm always interested in learning how to reduce the size o
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by
scrawl
3y ago
not OP. but he did say "nearly everyone". long lists of side effects are common even for the most benign and common drugs. that's standard. for example i could say that the common side effects of tylenol[0] tell a different
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by
scrawl
3y ago
> The question about if an AI is "alive" seems entirely irrelevent outside of a philosophy class it's entirely relevant. we should know if we are building conscious beings, especially at scale (which seems like a likely fu
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by
scrawl
3y ago
do you disagree the present moment is an important inflection point for AI research? what point in the last few decades do you think was more important?
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by
scrawl
3y ago
check out oK[0] by John Earnest, who is the author of the content of this post. it has a well-written manual and is a great jumping off point. the source is written in ~1000 lines of js. so you can look at how each primitive is implemented.
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by
scrawl
3y ago
i love k. it's a much smaller and regular language than APL and some of its derivatives. you can look at John Earnest's oK. it's fantastically documented and a great learning resource. i would also recommend BQN. it has an ac
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by
scrawl
3y ago
i don't think it's stupid. i also find k more readable. 2 reasons why: - k has much fewer primitives. it's easier to remember a smaller set of operations. - k is statically parsable. APL is not. we know the program structure
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by
scrawl
3y ago
for scientific output you can look to MIRI. that is eliezer's contribution. the other response has listed some papers. it's worth mentioning that he has said that he believes MIRI has failed to meaningfully make progress with alig
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by
scrawl
3y ago
if you had a major concern that you felt many people a) weren't aware of, or b) were aware of but not treating seriously, and you had the resources to voice your concerns in a major publication like Time, would you not do that?
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by
scrawl
3y ago
"he's gonna milk it to every drop" is such an odd take. eliezer has long been concerned about AI and the risks it poses to humanity. and for just as long people have called him crazy and made hand-waving arguments for why we
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by
scrawl
4y ago
i learned something. thanks for responding.
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by
scrawl
4y ago
why does 1. source split among numerous files, and 2. partial bootstrapping affect embeddability? i'm asking in earnest. i thought to embed we (typically) just need a shared lib and to #include a header api.