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shwaj

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GPT-5.6 13 days ago

Inference providers, sure, but wouldn't we expect customers to win also?

"Formerly banned books" would be more accurate.

We no longer say that "cannabis is illegal in California"; that would be factually incorrect. Instead we say, "cannabis was formerly illegal". In standard usage of English, the same pattern applies to banned vs formerly banned books.

Edit: wording

I’ve heard about that “open secret” and I don’t understand.

What’s the incentive for Anthropic to pump up the token usage on their top end plan? Is it to move Pro users up to Max? That’s the only plausible idea I can think of.

I’m as skeptical of fiat currencies as the next guy, but denominating in Bitcoin is the ultimate cherry pick.

The price of everything has crashed in the last 10 years when denominated in Bitcoin. If we measured GDP in Bitcoins, the statistics would show that we’re in an unprecedented depression.

You’re absolutely correct. A jitter buffer is necessary for a human listener, but a LLM isn’t aware of a time lapse, just like it isn’t aware of the time since your last message in the conversion (unless the chat harness explicitly informs it).

It’s manipulative if you don’t care and pretend you do, especially to achieve a goal of your own.

It’s not manipulative if you cultivate the tendency to actually care about others, and not treat them like NPCs who are only important for your goals.

The videos are good training data, but the comments? The comment UX is so non-conducive to discussion, and the general quality is very low compared to what used to be on Google+ (to be fair, the self-selected users of Google+ were not representative of the general population).

Any patent. The question was who owns a (arbitrary) algorithm. The elaborated answer is that nobody “owns” an algorithm (i.e. has intellectual property rights to it) without a patent: in USA and many other jurisdictions, patents are the IP tool relating to algorithms.

What, Dario is just going to turn on unlimited-token-CEO-mode and ask Claude to devise a plan to out maneuver the military and intelligence services? It’s not AGI yet, and this request would be far outside the training distribution: it would just hallucinate something based on Tom Clancy novels.

Edit: typo

From what I read here, the required chip size would scale linearly with the number of model weights. That alone puts a ceiling on the size of model.

Also the defect rate grows as the chip grows. It seems like there might be room for innovation in fault tolerance here, compared to a CPU where a randomly flipped bit can be catastrophic.