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  1. The first classifier I ever trained was on Iris, as a student at EPFL.

  2. Anthropic's protein-design system runs on a 16,000-word prompt, and only a third of it is about proteins.

  3. A team can get faster, flatter, and happier while quietly losing the ability to decide how it works.

  4. Foundation models are eating software from both ends.

  5. Like most, I feel like I'm constantly struggling to keep up with the pace of AI development these days.

  6. There are a lot of strange places on the internet.

  7. Even in warehouses bristling with sensors and automation, a curious gap persists: operators often struggle to explain why throughput fluctuates from day to day.

  8. Predictions are notoriously a fool's errand.

  9. Ask ChatGPT to write a metaphor about time.

  10. Silicon Valley doesn't just shape the world, it rules it.

  11. In the opening act of The Social Network, Eduardo Saverin stands at a dorm room window, marker in hand, scrawling a mathematical formula across the glass.

  12. AI systems are suddenly capable of tasks they consistently failed at months ago.

  13. 🚧 Note: This article is under construction.

  14. This article was originally published on the Ogment.ai blog.

  15. Would you trust a robot with no sensors?

  16. Stepping Away from Claryo

    After nearly three years building Claryo from conversations on commutes with Mohamed into a truly awesome AI product, I've decided the time is right for me to step away and begin a new chapter.

  17. Published on the blog Artifices Intelligents of Le Temps newspaper.

  18. In a philosophical sense, the creative lineage of a work generated by artificial intelligence is difficult to define.

  19. At the beginning of November, Christie's auctioned off a piece generated by an artificial intelligence algorithm.

  20. The video opens with a fade-in, a summer hit, already played far too many times, tolls the bell.

  21. Introduction In this series of posts, I will be writing up about some work done in the context of a semester project counting for my degree from EPFL.

  22. Motivation: Controlling robots is hard.

  23. This work was done in the context of the Data Jam Days at EPFL (24-25 Nov 2017).

  24. Starry Nights

    A primer on style transfer What makes Starry Night look like a van Gogh painting ?

  25. An example of approximative vulgarization.