AI needs a new computational paradigm
JosephJacks_ · x · 2026-07-21
The author argues that AI urgently needs a completely different computational paradigm—one that is not based on transistors or transformers. They say they have spent the past year working on an unannounced effort along these lines, while also rooting for other efforts led by people such as @GillVerd and @NaveenGRao. The core claim is that there will never be a single “most efficient” approach, and that the field must move beyond today’s hardware/software foundations as fast as possible.
Related event: Joseph Jacks: AI Needs a New Computing Paradigm(2 posts)→
More from AGI Musings
- People argue about Homer as if everyone had read the same Iliad and Odyssey — RachelVT42 · 2026-07-21
- AI will take your job in 12–18 months, the post argues — rand_longevity · 2026-07-21
- Distillation alone is unlikely to explain the rise of Chinese AI models, says Reddit post — pier4r · 2026-07-21
- New papers say scaffolds explain only 1.5% of agent performance variance — gerardsans · 2026-07-21
- Larry Fink says China is ahead in the AI energy race, citing 100 GW nuclear buildout — rohanpaul_ai · 2026-07-21
- Jamie Dimon says bureaucracy, not AI, is the real system crushing intelligence — r0ck3t23 · 2026-07-21