The charitable reading is that they meant “ML researcher or ML engineer” with the latter meaning, I guess, an engineer who works on developing LLMs not just using them.
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.
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.
Maybe I just don’t know how the business works. Many of the support calls that I make are for things or services that I’ve had for a while, not just purchased. So I expected that to be more of a trailing indicator rather than the first area hit.
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).
In fact, it didn’t. Trump continued to make “no new wars” a plank of his platform.
Some of his base will follow wherever he goes, but he would not have been elected without those who supported him on the basis of this (broken) promise.
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).
Not sentences. AI slop.