@NRedli
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░░░░░░░░░░ https://nitter.cf/t.co/MZOXFO67jw | https://nitter.cf/t.co/FL3p0I0f74 prev founder https://nitter.cf/t.co/usPl4m4MKi (acq)
Vienna, Austria
Joined May 2011
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This might be the most insane post if true. We heard rumors last week, so we tried if we could solve a millennium problems.
I spent much of the weekend talking with the team who did this work. Seb--and everyone else--acted with integrity and generosity throughout.
Initially we believed the other team had also solved the problem. We wanted to collaborate and do a joint release.
When we learned that they had Euler but not Navier-Stokes, we offered to let them go first, to suggest that they should be the ones to get the prize, and optionally for Tristan to be the lead author on a rewrite of the OpenAI proof. We felt it was challenging to offer the same to Levent (an Anthropic employee), who was not willing to talk or coordinate with us anyway. We were open to other solutions.
We would have greatly preferred coordination. We did not rush to publish even though the other team wasn't communicating with us. The team threatened us with unfounded accusations of plagarism.
Now that we can see their work, the approaches appear to be different. It is also worth noting that our latest model can solve many, many other math problems.
It is true that we tried this because there were rumors on the internet last week that Anthropic's models had solved a millennium problem and we were curious if ours could do it too.
It's kinda over
Another fun demo of Astra, I realized like 3.5 hours ago I didn't have a cool enough demo
In 75 minutes, I gave it the same simulate macOS 27 prompt. It's BY FAR the best output I've seen. If you log in, it also has cloud sync and working apps
macos-27-simulator.mweinbach…
🙏🙏🙏
Previewing Ultrafast mode for @OpenAI's GPT 5.6 Sol, powered by Cerebras.
GPT-5.6 Sol Ultrafast generates responses at up to 750 tokens per second. That's the full, GPT-5.6-Sol model -- up to 14× faster than the same model on Standard processing.
It speedran Humanity’s Last Exam in 11h 11m, nearly 7× faster than Claude Fable 5 with comparable accuracy.
Does this mean CoT will not be necessary anymore soon?
New Anthropic research: A global workspace in language models.
Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with.
We found a strikingly similar divide inside Claude.
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Nik Redl retweeted
Here we go!
luma.com/ek5cb0vq?locale=en-…
Following the awesome @openclaw meetup in Vienna yesterday, who's up for an Open Claw meetup in Berlin in a few weeks (e.g. March 10 or 12)?
1) "like" if you like it
2) + retweet if you love it
3) + add a comment if you're game so we can keep you posted
Simple new eval.
Detecting the correct score from a dartboard photo is unexpectedly hard for LLMs.
The task appears to stress spatial reasoning: Gemini 3 models lead this benchmark by a decent margin.
Counterintuitively, “more reasoning” often reduces accuracy.
Even the top-performing model scores only ~36% of darts correctly.
darteval.vercel.app/darts-vi…
add this code snippet to .vscode/settings.json when developing locally on multiple projects. you'll instantly see which codebase you are on.
Built VibeIcons over the weekend based on nano-banana. It allows you to generate icons in the style of your favourite icon library - gets you an svg output.
Probably not life-changing, but a fun little weekend project.
vibe-icons.com/
If you're not building a mini startup with Nano Banana today and launching it tomorrow, you're missing the opportunity of a lifetime
This image model just made 100s of new startups and apps possible
Only limit is your creativity and how fast you can ship a user interface and put a Stripe payment button on it
I think