LeCun is right, when enrolling into PhD program don’t work on what is a hype topic of today. It was true in 2015 for reinforcement learning, it is true in 2025 for LLMs. The topic of tomorrow won’t be the hype topic of today, find a promising niche tech and work on it instead.

Exciting opportunity for researchers working on African languages and multilingual AI! Looking forward to seeing innovative contributions on Multilingual Multimodal LLMs. 🌍💡 #AfricaNLP #EACL2026 #NLP

If you want to learn something, read about it. If you want to understand something, write about it. If you want to master something, teach it. - Richard Feynman

After 30 years of research and teaching, I found that I cannot teach any subject unless I have understood it fully. Hence I normally had to write a book before I teach any new course. Also, I found that, teaching is the best, probably only, way to do deeper and better research.

I think we need a framework and a method for integrating AI into EDUCATION and RESEARCH in the right way. We can’t ignore that the learning process is just as important as the knowledge itself. If we don’t get this right, we’re in trouble.

In today's world, people's information becomes increasingly more fragmented and attention span becomes increasingly shorter, whoever can master a systematic and deep body of knowledge will be rare hence extremely valuable in the future. Note that the capabilities of LLMs improve

"Learning to break down problems into smaller pieces is one of the most important skills in computer science/life." — Addy Osmani (Addy Osmani)