xAI culture: when caught doing bad things, put the blame OpenAI 😅

As someone who loves diffusion models and experiments with them a lot, I am excited by this diffusion LLM!

What’s the catch? It seems to good to be true 😆

Congrats Mistral AI !! Busy day in Europe!!

Advice of the day: if you cook with gaz, do not forget to ventilate while cooking

That would be the funniest plot twist

I apologize for the emotional vagueposts. I'll be direct now a major breakthrough took place today for a context, I'm working on the problem of synthesizing a program by examples. that is, given a set of tests, like: f(3, [0,1,2,0,2]) = [1,1,1,0,2] f(1, [4,2,3,7,7]) =

New benchmark 😂

So happy someone (Marcel Salathé) did the work and put an end to the stupid take that ChatGPT etc. require a ton of energy 🙏🏼

According to OpenAI’s new benchmark, Claude Sonnet 3.5 is the best model for research

Optimal Evaluation is so mind-blowing If I ask NeoGen to synthesize 'add : ℕ → ℕ' and 'sum : [ℕ] → ℕ' together, it takes ~0.28 seconds to find both. Now, if I perform the same search, except I don't print the source of 'add'... literally, if I just remove that 'print'

> March: first time people ask us to never stop offering a model with such passion > April: we are stopping offering this model in 3 months It’s not an issue to me, but I find it funny 😆 community.openai.com/t/gpt-4-5-prev…

1. Be Replit founder 2. Have a decade-long head start 3. Watch small EU competitor, Lovable, surpass you in usage and making vibe coding secure 4. Copy it 4 weeks later 5. Bash Lovable for not being secure Incredible leadership.

Yes, so many new models for coding agents recently! Is getting more and more fun to code with AI

Europe has its first reasoning model: Magistral After OpenAI was known to be the first to introduce AI reasoning last year with o1, DeepSeek followed suit in January with DeepSeek r1. Almost 5 months later, Europe now also has its own reasoning model with Mistral's Magistral -

That’s really good news, but it makes me curious What kind of hardware update can reduce the inference cost by 80%? And why wasn’t it possible before? 🤔

Ahah internet is cool 😄