At 128K context, prefilling costs drop from ~$0.65 to ~$0.35 per million tokens. And Decoding drops from ~$2.4 to ~$0.8.And the performance stays the same. On some long-context benchmarks, V3.2 actually scores higher.Sparse attention isn’t new. But making it work without losing quality is hard.What are some other techniques to increase the context lengths of LLMs? ...

I am one of these people that is a little wary about what our future holds. And when I think about what you created, that Wikipedia wasn't just a repository of information, but it was a repository of trustworthy, or at least the perception of being trustworthy. And we're now in an era where everyone seems to disbelieve their own lionize for whatever reason, whether it's a distortion from A.I. or even before that, the idea of political discourse that has sort of bent the truth. So where does a place like Wik ...

Web development has always moved in cycles of hype, from frameworks to tooling. With the rise of large language models, we're entering a new era of "vibe coding," where developers shape software through collaboration with Al rather than syntax. This talk explores what that means for the future of coding, especially in frontend development, and how it echoes the past while redefining what comes next. Speaker: Kitze | Founder, Sizzy https://x.com/thekitze ...

Amid the intense focus on artificial intelligence, machine learning, and large language models, a burgeoning problem is emerging: how will AI developers have enough computing power to train and run AI programs when thousands of companies are seeking to build or use AI products? Morgan Stanley analysts are projecting that there will be a cumulative shortfall of 47 gigawatts of computing power through 2028—and the next phase of AI investing will not be who’s building the best GPUs, but who can best provide ...

Researchers have found that large language models can answer surveys and pass the tests to check that a respondent is human. What does this mean for pollsters? https://t.co/RG3kygty8ZIllustration: Ben Hickey https://t.co/1BK7NRSJeN ...

Everyone please welcome Mr. . S. [applause] I would like to start today with just one simple question.Have you guys noticed lately the resurgence of words like Dell, leverage, testament, tapestry, etc. In the last few years, words like these have grown in our written language. I say written, not oral. What do I mean by that.With the introduction of artificial intelligence in the last few years, words like this have followed. So, there's a chance I either have broken the glass for you or there's a chance I'v ...

Pollsters are facing yet another challenge: large language models that can answer surveys as a human would, often undetected https://t.co/VjAXJ1Eg4y ...

He was born in Triarchy in 1924 to a colory wages clerk in the Ronda. He's my favorite Welsh scientist because of course he is the best type of scientist. He's a computer scientist.Uh I think we kind of often neglect uh our scientific contribution to the world in in in Wales. And we're often we often tend to emphasize our perhaps our literary or or political um figures much more. uh like for example everyone knows who an Bevon is or uh or um David Lord George or indeed Dylan Thomas I think because of that w ...

Researchers have found that large language models can answer surveys and pass the tests to check that a respondent is human. What does this mean for pollsters? https://t.co/cngINXXxjM ...

Large language models can answer surveys and pass the tests to check that a respondent is human https://t.co/iLu41fyvmp ...