NodeWeaver CEO and cofounder. Proud father, engineer, entrepreneur. Loves technology, cooking, IT economics.
Udine, London, Brussels
Joined April 2008
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It makes pretty sense if they think they can reach full R&D automation and AGI first.
If I'm not mistaken, Anthropic's 85% gross margin and >40% compute margin from this Bloomberg story implies that 70-75% of their compute is now going to R&D.
bloomberg.com/news/articles/…
Carlo Daffara retweeted
Meet Mistral Large 4, aka Le Chonk.
• 1T parameters, natively multimodal. 49B active.
It is the best open weights model from US or Europe on aggregated benchmarks.
• State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding.
• Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure.
• Available to all via API today. Working with cybersecurity partners privately.
Open weights release end of October.
🤖 Made with AI
Carlo Daffara retweeted
Claude 5.5 Opus responding to “AI is a normal technology” is still the best AI-created video I have ever seen
Carlo Daffara retweeted
i gave my ai agent (fig running on opus 5.5) access to the @runwayml MCP and using seedance 2.5, nanobanana pro, lyria & hyperframes it made this
you might've seen the chunks i posted over the weekend but here's the full 27m doc
i only gave notes like a producer would
Carlo Daffara retweeted
Made with Claude Opus 5.5.
The fearmongering about AI always makes us forget that NOTHING WENT FOOM, as was always predicted.
Send this to your doomer friend who has a very high P(Doom).
Accelerate.
Carlo Daffara retweeted
Today I'll present Boundaryless #O2A (Open Organization Alliance) protocol at the Protocol Symposium 2026 from Protocol Institute.
Livestream youtube.com/watch?v=ddUfKjoW….
The O2A is an open language to describe company world models as nodes, offerings, contracts and their compositions: it's an #opensource language that you can adopt to describe and program your organization, and it supports the convergence in operating models we're seeing since a while now - that I discussed recently in my article: "TTB 4: Everybody Is Saying the Same Thing in Organizational Development" lnkd.in/dVK3JqTt
We're about to organize a presentation webinars and now collecting interest for organizations to co-author this standard so reach out if you're curious on how this can help you integrate #AI agents, and cooperate more easily internally and externally!
Apart from a few nitpicks (the chess board with... too many pieces) this is excellent. Love the dark humor.
AI knows how to assembly an IKEA cabinet. We are doomed.
Carlo Daffara retweeted
Holy crap.
Rick and Morty just explained Jev AI to me better than any tech demo could.
This is pure genius. An @IKEA mod for Skyrim that brings a Kallax shelf in the game. ikea.com/gb/en/cat/kallax-se… And... a wrench-shaped sword? Meatball helmets? Perfect.
Carlo Daffara retweeted
"stochastic parrot" was a mimetically-fit cognitive virus that spread from 2021-2025; it temporarily blinded many gifted people to the nature of AI progress, burning up crucial years in which they could have helped think through the response to the situation.
Carlo Daffara retweeted
Today, we’re releasing Tinfield 1, an open-weight model for terminal work and long-horizon software engineering.
Tinfield scores 33.0 on Terminal-Bench 4.0 and 62.0 on DeepSWE v1.1, exceeding Claude Opus 4.8’s published scores on both.
177B total parameters. 6.6B active per token. 256K context.
Available today in three builds: Base, Compact and Mini.
Carlo Daffara retweeted
This looks... interesting 👀
Just discovered Hemmingway-1, a model based on Qwen3.8-27B that promises to sound and write like a person than any other model around.
I am going to test it out!
huggingface.co/Altworld/Hemm…
Carlo Daffara retweeted
Qwen 3.8 flash is truly impressive, and llama.cpp has been rapidly getting better and better at processing it
columns are: pre-existing prompt, new prompt, generated, input tok/s, output tok/s
This is on my laptop (strix halo). I think we're very close to the point where you can just use local models for a large share of tasks, and for anything more advanced, workflows like "use your local model to orchestrate queries to powerful models so your queries don't leak your personal information" actually become viable.
