Sparks of AGI: early experiments with GPT-4

What people said

Topfi · 2025-10 · Strong recommendation

It goes back to Sparks of AGI [0] unless I am mistaken. Can recommend the talk, one that has stayed in the back of my mind since I first saw it two years ago. Personally, still have major reservations about throwing claims of intelligence or understanding around, but I do agree that SVG code generation can be a very effective source to get a quick and easy to present understanding of a models ability to output code with a rather open ended prompt that needs a high degree of coherence and were a lot of layers depend/build on each other. Helps that these are eye catching (literally as the output is visual) and easy to grasp. Same reason a lot of hype is created around the web desktops. [0] [VIDEO]

Read the original HN comment ↗

neom · 2023-05 · Strong recommendation

Highly highly highly recommend listen to this lecture by Sebastien Bubeck (the dude who wrote the paper), it's extremely interesting: [VIDEO]

Read the original HN comment ↗

lhl · 2023-04 · Strong recommendation

If you (or anyone else is) interested in the topic, I'd highly recommend giving some of these a look: Bubeck, Sébastien, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, et al. “Sparks of Artificial General Intelligence: Early Experiments with GPT-4.” arXiv, March 27, 2023. [LINK] . or watching Sebastien Bubeck's recent talk he gave describing what GPT-4 can do that previous LLMs couldn't: [VIDEO] Geoffrey Hinton recently gave a very interesting interview and he specifically wanted to address the "auto-complete" topic: [LINK] Here's another way that Ilya Sutskever recently described it (comparing GPT 4 to 3): [LINK] I'd also recommend this recent Sam Bowman article that does a goood job reviewing some of the surprising recent developments/properties of the current crop of LLMs that's pretty fascinating: Bowman, Samuel R. “Eight Things to Know about Large Language Models.” arXiv, April 2, 2023. [LINK] .

Read the original HN comment ↗