Excited to announce I’ll be on Reddit for an AMA r/MachineLearning on 15th April at 17:00 CEST/16:00 BST/11:00 ET/08:00 PT.
@wellingmax
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ASML’s Journey to Europe’s Most Valuable Tech Company
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Key takeaways: The science was clear, but the market justification took years. Despite delays, they never lost hope in a project that was win or die for the company. ASML is now Europe’s most valuable tech co ($525B+).
→ View original post on X — @wellingmax, 2026-04-01 11:32 UTC
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ASML’s EUV Bet: Innovation Before AI Necessity
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Hindsight is a luxury, but the biggest innovations are rarely obvious at the start.
— Max Welling (@wellingmax) 1 avril 2026
I sat down with former @ASMLcompany President Martin van den Brink to discuss how they bet the company on EUV technology long before the AI boom made it essential. pic.twitter.com/vPR8fhX7Z9Hindsight is a luxury, but the biggest innovations are rarely obvious at the start. I sat down with former @ASMLcompany President Martin van den Brink to discuss how they bet the company on EUV technology long before the AI boom made it essential.
→ View original post on X — @wellingmax, 2026-04-01 11:32 UTC
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Physical Intelligence: Scientific Agents Accelerate Discovery at Software Speed
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Atoms (not bits) are the building blocks of our world.
— Chad Edwards (@ac_edwards_1) 23 mars 2026
We’ve moved past the digital frontier with physical intelligence.@cusp_ai's scientific agents now orchestrate entire discovery loops from initial query to physical realisation. Science is now moving at the speed of… pic.twitter.com/GucrKCUqBZAtoms (not bits) are the building blocks of our world. We’ve moved past the digital frontier with physical intelligence. @cusp_ai's scientific agents now orchestrate entire discovery loops from initial query to physical realisation. Science is now moving at the speed of software. Huge news incoming. The physical world is about to get a lot more intelligent.
→ View original post on X — @wellingmax, 2026-03-23 09:13 UTC
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Materials Science and Generative AI Revolutionize Scientific Discovery
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This was a very nice interview by Latent Space in sunny San Diego at Neurips. https://t.co/lHUta2ezG9
— Max Welling (@wellingmax) 26 février 2026This was a very nice interview by Latent Space in sunny San Diego at Neurips. Latent.Space (@latentspacepod) 🔬 New Science pod with @cusp_ai! We are entering a new era where materials science and discovery is transitioning from slow, manual experimentation, to a high-speed search problem powered by generative AI and "physics processing units." @wellingmax argues that the foundation of all modern technology—from GPUs to climate solutions—is a materials problem, and that unifying the mathematics of stochastic thermodynamics with generative AI will unlock a new paradigm of automated scientific discovery. — https://nitter.net/latentspacepod/status/2026716448626978955#m
→ View original post on X — @wellingmax, 2026-02-26 10:18 UTC
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AI-Powered Materials Science: New Era of Automated Discovery
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🔬 New Science pod with @cusp_ai!
— Latent.Space (@latentspacepod) 25 février 2026
We are entering a new era where materials science and discovery is transitioning from slow, manual experimentation, to a high-speed search problem powered by generative AI and "physics processing units." @wellingmax argues that the foundation… pic.twitter.com/UKZ5xH9NK4🔬 New Science pod with @cusp_ai! We are entering a new era where materials science and discovery is transitioning from slow, manual experimentation, to a high-speed search problem powered by generative AI and "physics processing units." @wellingmax argues that the foundation of all modern technology—from GPUs to climate solutions—is a materials problem, and that unifying the mathematics of stochastic thermodynamics with generative AI will unlock a new paradigm of automated scientific discovery.
→ View original post on X — @wellingmax, 2026-02-25 17:50 UTC
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Stochastic Gradient Lattice Random Walk for Bayesian Inference
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Struggling with minibatch noise in Stochastic Gradient Bayesian Inference? Want your chains to naturally run on stochastic hardware?
— Lars Holdijk (@HoldijkLars) 19 février 2026
Introducing — Stochastic Gradient Lattice Random Walk!
New work from @NormalComputing in collab with @zierhjmensch, @adnarim066, @wellingmax, and… pic.twitter.com/Mt7CBwopMaStruggling with minibatch noise in Stochastic Gradient Bayesian Inference? Want your chains to naturally run on stochastic hardware? Introducing — Stochastic Gradient Lattice Random Walk! New work from @NormalComputing in collab with @zierhjmensch, @adnarim066, @wellingmax, and the dream team at normal computing, @Sam_Duffield, @MaxAifer and @ColesThermoAI.
→ View original post on X — @wellingmax, 2026-02-19 16:05 UTC
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Categorical Flow Maps: Fast Discrete Diffusion for Single-Step Generation
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Great work by @FEijkelboom et al Floor Eijkelboom (@FEijkelboom) Discrete diffusion — but fast? ⚡️ Test-time inference — but for discrete data? 🧠 Categorical Flow Maps: continuous transport toward the simplex, turning discrete generation into a single-step problem. Built on Variational FM (CatFlow), we obtain (self-)distillation from scratch. Language, molecules, and test-time steering — one framework. Scaling to LLMs and foundation models next. Watch this space 👀 — https://nitter.net/FEijkelboom/status/2023412552294686734#m
→ View original post on X — @wellingmax, 2026-02-16 15:38 UTC
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CuspAI hiring: join generative models team for materials research
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🔥🔥Amazing opportunity 🔥🔥 Work with my awesome and wonderful colleagues @johannbrehmer @wellingmax and @lonepair on generative models for materials here at @cusp_ai! Fun and exciting research on real-world problems that actually matter! #MachineLearning #Materials Johann Brehmer (@johannbrehmer) Come work with us at @cusp_ai in the generative model team! Excited about flow / diffusion models and chemistry? Looking for impact? jobs.ashbyhq.com/cuspai/b810… Join a great team lead by @wellingmax & Aron Walsh, work in Amsterdam / Cambridge / London / Berlin. 1/2 — https://nitter.net/johannbrehmer/status/2000488276029813139#m
→ View original post on X — @wellingmax, 2025-12-15 09:08 UTC
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CuspAI hiring generative model researchers in multiple European cities
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Come work with us at @cusp_ai in the generative model team! Excited about flow / diffusion models and chemistry? Looking for impact? jobs.ashbyhq.com/cuspai/b810… Join a great team lead by @wellingmax & Aron Walsh, work in Amsterdam / Cambridge / London / Berlin. 1/2
→ View original post on X — @wellingmax, 2025-12-15 08:49 UTC