Matteo Fischetti

As Amazon does not believe my #orms book is worth delivery in Italy, I just published the #kindle e-book format of both the Italian and the English versions. amazon.it/dp/B0869NX71T/ amazon.it/dp/B0869NFNZX/

Today Federico Michelotto defends his thesis at University of Bologna ... congratulations Federico!

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/papers/…

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

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

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.

I used ChatGPT to solve an open problem in convex optimization. *Part III* 1/N x.com/ErnestRyu/stat…

Subject to: Kenneth Sörensen (University of Antwerp, Belgium), youtu.be/ATxnlZhdJRo, #orms #optimization #metaheuristics @UAntwerpen

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

We couldn’t have had a better way to end for today than with the excellent talk of our third plenary speaker, @DoloresRomeroM. Thank you so much for sharing your enthusiasm for academia for us, and for eXplaining your research with so much transparency 😉 #EUROYoung2025 #orms

Bravo @DanieleVigo INFORMS Fellow 2025!

Have questions about optimization best practices? Gurobot delivers fast, reliable answers—helping you troubleshoot, model, and optimize more efficiently. Log in to your Gurobi User Portal to get started. Learn more: ow.ly/NziC50Xa2jS #Gurobot #Optimization #Gurobi

It's a strange time to be a programmer—easier than ever to get started, but easier to let AI steer you into frustration. We've got an antidote that we've been using ourselves with 1000 preview users for the last year: "solveit" Now you can join us.🧵 answer.ai/posts/2025-10-…

Postdoc position on a cool project about Auditory Development at @UW with Prof. Bonnie Lau: apply.interfolio.com/172675

Upcoming Public Lecture: The Traveling Salesman Problem — Package Deliveries, Pub Walks, and Astro Tours on October 22, 2025 in Seoul near Gangnam Station dimag.ibs.re.kr/2025/tsp/

OCEAN is evolving 🌊, check it out! github.com/vidalt/OCEAN/ v2.0 offers a one-click Python library for optimal counterfactual explanations in tree ensembles (RFs, boosting...) based on MILP and CP models. Install with "pip install oceanpy". Unlike unstable heuristics that may treat similar users differently, OCEAN guarantees an explanation whenever one exists and delivers reliable results under a variety of plausibility or actionability conditions. The library is actively maintained by github.com/eminyous and members of the SCALE-AI Chair at @polymtl, with various additional features coming soon. #MachineLearning #XAI #Optimization #ORMS

This is huge! NVIDIA just built a framework named SATLUTION, which can scale LLM-based code evolution from small kernels to full repositories (hundreds of files, tens of thousands of lines of C/C++). It is the first one that can do this. Targeting SAT (the canonical NP-complete problem), SATLUTION coordinates LLM agents to evolve solvers with: ⚙️ strict correctness checks ⚡ distributed runtime feedback 🔁 self-evolving evolution rules The result? It produced solvers that outperformed human-designed winners of the SAT Competition 2025 — and even beat past champions on 2024 benchmarks. A major step toward LLMs as autonomous algorithm engineers!

The 4th CNSP workshop is about to start! Exciting!

🦠Peter Whidden on Mote: An Interactive Ecosystem Simulation youtube.com/watch?v=Hju0H3…

🦠Watch @computerender's first public talk on Mote: an interactive ecosystem simulation! Mote uses a custom GPU-based physics engine to model hundreds of thousands of organisms, leading to fascinating emergent phenomena: a sandbox that is part game, part research. Link below⬇️

Another interesting VRP challenge to keep an eye on 👀