🚀 Introducing EngiBench & EngiOpt A unified benchmark and algorithm suite for ML-driven engineering design. 💡 Imagine: • A diffusion model for designing airplane wings • Surrogate models predicting DcGain & Voltage Ripple in power electronics 🧵⬇️

Neurips reviews this year be like: "okay we're done." "Hmm no, we will extend the deadline." "Okay, now we're done." "Actually, there is a new field you can complete post discussions." My holidays being postponed each week 🫠

I randomly started reading this thing, full of good advice: paulgraham.com/greatwork.html These three resonated ⬇️

I sometimes feel that by chasing KPIs we forget about the bigger picture and why we're doing things in the first place. I do research because I believe the advances we're making will eventually be helpful. I don't do it for citations, grants, or titles 🤔

🤖 AI that adapts to real-world challenges! Florian Felten’s award-winning research on Multi-Objective Reinforcement Learning (MORL) is revolutionising AI decision-making, enabling smarter, context-sensitive agents that navigate complex environments. #AI #innovation

If we look at paper counts, MORL continues to grow rapidly (around 40% per year since 2017). RL is also growing but has levelled out over the last few years (it will be interesting to see if the "RL is back" sentiment I've seen recently is reflected in 2025's publications).

Can't wait for @amp1874.bsky.social 's annual MORL report