Links about AI - first level curation

🎥 New talk: "How Might We Learn?" A (proto-?)vision talk of sorts—a first attempt at a broader picture of the future of learning I want to create, particularly given developments in AI. Thanks to @HaijunXia and @ProfHollan for hosting me! 🙇‍♂️ (YT link in thread... See more

navigating the latent space of colors 🌈✨ do LLMs “see” colors differently from humans? we perceive colors through wavelengths while LLMs rely on semantic relationships between words. to explore this, i mapped two color spaces: https://t.co/JSHCFjYu61

Instead of treating AGI as a binary threshold, I prefer to treat it as a continuous spectrum defined by comparison to time-limited humans. I call a system a t-AGI if, on most cognitive tasks, it beats most human experts who are given time t to perform the task. More details:

Interesting experiment from Google that creates an NPR-like discussion about any academic paper. It definitely suggests some cool possibilities for science communication. And the voices, pauses, and breaths really scream public radio. Listen to at least the first 30 seconds. https://t.co/r4ScqenF1d