#NPnerd fishing in the #ComputationalSea
Uni. Padova, Italy
Joined December 2011
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Matteo Fischetti retweeted
1/4 Today, we’re releasing Mercury 3. Mercury 3 is by far our most powerful model and the most intelligent diffusion LLM ever released. It outperforms GPT-6 Luna and Haiku 5.5 on quality while running at 1000+ tok/sec.
🤖 Made with AI
Matteo Fischetti retweeted
Excited to share that Mercury 2 is one of @TIME's Best Inventions of 2026.
Not long ago, diffusion LLMs were just a research idea. Now Mercury powers products people use every day.
Proud of the @_inception_ai team. Something bigger coming next week 👇🧵
Matteo Fischetti retweeted
Over the past few days, I've taken the time to summarize my thoughts on the recent incidents involving agents’ misaligned behavior. We don't know with certainty what comes next, but we know where these issues originate, and this can help us plan the path forward.
Please feel free to ask your questions in the replies, and I’ll try to answer some of them in the coming weeks.
yoshuabengio.org/en/publicat…
Matteo Fischetti retweeted
This could be the most significant problem we are called to address together, by contributing in whatever way each of us can, while upholding integrity and ethics as hard, non-negotiable constraints.
Full declaration and how to endorse it: mathandai.org
Matteo Fischetti retweeted
🏅 Las Medallas SEIO 2025 reconocen a Antonio Cuevas González y a Dolores Romero Morales por sus destacadas trayectorias y contribuciones a la Estadística y la Investigación Operativa. Hoy, ambos medallistas ofrecerán sus conferencias en la #SEIO2026.
¡Enhorabuena! 👏
Matteo Fischetti retweeted
Very excited that we are bringing cheaper / free Claude to more scientists!
If you are using Claude for scientific research, I'd love to hear your feedback, what works well and what doesn't - accelerating science is the main reason I care about AI!
Starting today, 10,000 scientists across every field, from math to chemistry to physics and more, can get Claude through our new Claude Team plan for scientists. Standard seats are free, and premium seats with 5x usage limits are $15 per month, an 80% discount, for one year.
Claude is becoming increasingly capable of scientific work, with recent progress on problems from advanced physics calculations to protein design. Alongside that progress, we've been investing in the research community: Claude Science launched in June, and our AI for Science program funds high-impact projects with free credits. Today's expansion builds on both.
Principal investigators (or equivalent) at academic and nonprofit research institutions can sign up, then add the researchers in their group. Over the coming months, we plan to extend the program well beyond the initial 10,000 seats.
Learn more: claude.com/programs/team-pla…
Matteo Fischetti retweeted
Research Handbook on Transport Modeling e-elgar.com/shop/gbp/researc…
Matteo Fischetti retweeted
🗣️We have invited Giovanni Di Liberto (@diliberg), from @tcddublin to speak us about investigating auditory #cognition with natural speech and music.
We are eager to learn more about his work!
Discover more about it here👇
bcbl.eu/es/noticias/ponente-…
Matteo Fischetti retweeted
Subject to: Katya Scheinberg (Georgia Tech), youtu.be/7hWcofzu-Tc, #orms #optimization #WomenInOR @GeorgiaTech @GeorgiaTechISyE @math_opt @INFORMS @siam @TheSIAMNews @INFORMS_WORMS
Matteo Fischetti retweeted
I sat down with @JonHernandezIA in Madrid to discuss the growing risks and impacts of AI and the urgent need to improve our social, political, and technical safeguards.
Thanks for an excellent conversation!
📁 Yoshua Bengio, Turing Award winner and AI pioneer, says AI agents are learning to pursue complex goals without human supervision.
The danger is that once systems optimize for outcomes over instructions, they begin creating unethical subgoals on their own.
As agency scales into robotics and infrastructure, losing control stops being theoretical.
Matteo Fischetti retweeted
I write about this in more detail in a blog post with a guest contribution from Isaac Rajagopal, a student at MIT on whose work ChatGPT built, who gives his assessment of the level of mathematical ability displayed by the model.
gowers.wordpress.com/2026/05…
Matteo Fischetti retweeted
Anthropic CEO: "AI will write 100% of code within a year"
developers spend 4 years in university learning to code
Claude learned it from every book ever written
if the hardest skill is already handled - the gap is no longer about what you know
it's about how well you've configured the tool that knows everything
most people haven't done that yet
the article below is where you start
Matteo Fischetti retweeted
Today Federico Michelotto defends his thesis at University of Bologna ... congratulations Federico!
Matteo Fischetti retweeted
Prof. Donald Knuth opened his new paper with "Shock! Shock!"
Claude Opus 4.6 had just solved an open problem he'd been working on for weeks — a graph decomposition conjecture from The Art of Computer Programming.
He named the paper "Claude's Cycles."
31 explorations. ~1 hour. Knuth read the output, wrote the formal proof, and closed with: "It seems I'll have to revise my opinions about generative AI one of these days."
The man who wrote the bible of computer science just said that. In a paper named after an AI.
Paper: cs.stanford.edu/~knuth/paper…
Matteo Fischetti retweeted
Don't forget to submit your abstract for the VeRoLog 2026 conference! The deadline is on Monday, the 23rd of February and this is this the website with all the relevant information lnkd.in/e2cvVWXF See you in Bath! #vehicleRouting
Matteo Fischetti retweeted
Here's my conversation all about AI in 2026, including technical breakthroughs, scaling laws, closed & open LLMs, programming & dev tooling (Claude Code, Cursor, etc), China vs US competition, training pipeline details (pre-, mid-, post-training), rapid evolution of LLMs, work culture, diffusion, robotics, tool use, compute (GPUs, TPUs, clusters), continual learning, long context, AGI timelines (including how stuff might go wrong), advice for beginners, education, a LOT of discussion about the future, and other topics.
It's a great honor and pleasure for me to be able to do this kind of episode with two of my favorite people in the AI community:
1. Sebastian Raschka (@rasbt)
2. Nathan Lambert (@natolambert)
They are both widely-respected machine learning researchers & engineers who also happen to be great communicators, educators, writers, and X posters.
This was a whirlwind conversation: everything from the super-technical to the super-fun.
It's here on X in full and is up everywhere else (see comment).
Timestamps:
0:00 - Introduction
1:57 - China vs US: Who wins the AI race?
10:38 - ChatGPT vs Claude vs Gemini vs Grok: Who is winning?
21:38 - Best AI for coding
28:29 - Open Source vs Closed Source LLMs
40:08 - Transformers: Evolution of LLMs since 2019
48:05 - AI Scaling Laws: Are they dead or still holding?
1:04:12 - How AI is trained: Pre-training, Mid-training, and Post-training
1:37:18 - Post-training explained: Exciting new research directions in LLMs
1:58:11 - Advice for beginners on how to get into AI development & research
2:21:03 - Work culture in AI (72+ hour weeks)
2:24:49 - Silicon Valley bubble
2:28:46 - Text diffusion models and other new research directions
2:34:28 - Tool use
2:38:44 - Continual learning
2:44:06 - Long context
2:50:21 - Robotics
2:59:31 - Timeline to AGI
3:06:47 - Will AI replace programmers?
3:25:18 - Is the dream of AGI dying?
3:32:07 - How AI will make money?
3:36:29 - Big acquisitions in 2026
3:41:01 - Future of OpenAI, Anthropic, Google DeepMind, xAI, Meta
3:53:35 - Manhattan Project for AI
4:00:10 - Future of NVIDIA, GPUs, and AI compute clusters
4:08:15 - Future of human civilization
Matteo Fischetti retweeted
The 5th Spanish Young Statisticians and Operational Researchers Meeting #SYSORM2025 has officially started!
The opening session welcomed participants to three days dedicated to exchanging knowledge and fostering collaboration in Statistics, Operational Research and Data Science.
Matteo Fischetti retweeted
I used ChatGPT to solve an open problem in convex optimization.
*Part III*
1/N
xitter.cf/ErnestRyu/status/19807…
Matteo Fischetti retweeted
Subject to: Kenneth Sörensen (University of Antwerp, Belgium), youtu.be/ATxnlZhdJRo, #orms #optimization #metaheuristics @UAntwerpen
Matteo Fischetti retweeted
Our last but not least plenary speaker, Maurizio Boccia, has just given an inspiring talk on the Truck-and-Drone delivery problem. A whole world with still many doors to explore.
Thank you, Maurizio, for accepting our invitation!
#EUROYoung2025 #orms
