30 papers · The reading list Ilya Sutskever gave John Carmack

kept by willx86 sep 09

A curated list of 30 of 30 foundational AI and deep learning papers, presented with plain-language explanations to aid readers for newcomers and experienced researchers alike.

John Carmack muses using a long fiber line as an L2 cache for streaming AI data — programmer imagines fiber as alternative to DRAM
John Carmack proposes using a 200 km fiber optic loop as an L2 cache for AI inference, storing 32 GB in-flight with 32 TB/s bandwidth.
also on John Carmack, #ai, #developer-tools
It's Hard to Feel the AGI
Leading AI researchers argue that current LLM scaling will hit a ceiling, requiring new insights before AGI emerges, pushing timelines back 5-20 years.
also on Ilya Sutskever, #ai
Technological Involution
Technological progress has stagnated as society lost its ability to imagine novel frontiers and founders now chase institutionalized narratives rather than deep personal conviction in technology.
also on Ilya Sutskever