Looks similar
Are AI labs pelicanmaxxing?(dylancastillo.co)
632 points by dcastm | 237 comments
Blog post investigating whether AI labs are optimizing their LLMs for Simon Willison's 'SVG of a pelican riding a bicycle' informal benchmark.
Let's talk about LLMs(b-list.org)
161 points by cdrnsf | 142 comments
Open-weight AI is having its Kubernetes moment(tobi.knaup.me)
369 points by tknaup | 287 comments
Blog post by Tobi Knaup arguing that open-weight AI models are at a moment comparable to Kubernetes' rise, and urging the community not to squander it.
Related stories
OpenAI is good at unminifying code(glama.ai)
860 points by punkpeye | 290 comments
Glama blog post describing how OpenAI's model was used to reverse-engineer and unminify a minified JavaScript component that renders ASCII art.
OpenAI staff threaten to quit unless board resigns(wired.com)
1378 points by skilled | 1182 comments
Wired article reporting that nearly 500 OpenAI employees signed a letter threatening to quit and join Sam Altman at Microsoft unless the board resigns.
OpenAI Says It Will Not Release Newest A.I. Model Over Safety Concerns(nytimes.com)
32 points by jbegley | 31 comments
New York Times article reporting that OpenAI will not release its newest AI model, reportedly called Astra, due to safety concerns; the page showed a bot-block screen.
OpenAI needs to raise at least $207B by 2030(ft.com)
515 points by akira_067 | 493 comments
FT Alphaville article on an HSBC estimate that OpenAI must raise at least $207bn by 2030 to keep funding its losses; the page shows a registration gate.
OpenAI researchers warned board of AI breakthrough ahead of CEO ouster(reuters.com)
887 points by mfiguiere | 977 comments
Reuters exclusive reporting that OpenAI researchers sent the board a letter warning of a powerful AI breakthrough before Sam Altman's ouster as CEO.
Notes on OpenAI's new o1 chain-of-thought models(simonwillison.net)
641 points by loganfrederick | 566 comments
Simon Willison's blog post with notes on OpenAI's o1-preview and o1-mini models, covering chain-of-thought training, API details, hidden reasoning tokens and examples.












