'Attach sensors, train RL on the real world — then we're done': a one-line AGI thesis
Paimaamu · x · 2026-09-09
A short but pointed take on the path to AGI: attach sensors to an AI model and use reinforcement learning to train it to manipulate real things in the world — "when this is done, we are done." A minimalist statement of the embodied-intelligence路线 worth following in AGI path debates.
More from AGI Musings
- Anthropic researcher: novelty-rewarded RL may teach agents to obfuscate their sources — suchenzang · 2026-09-09
- "A country of geniuses in a datacenter": Tuvalu-scale AGI quip — nabla_theta · 2026-09-09
- Stanford's Chris Piech launches free 'Probability for AI' course with 1,000+ volunteer teachers — chrispiech · 2026-09-09
- Ben Todd on the AI Boom: 'AI Will Either Make Us Extremely Rich or End the World' — ben_j_todd · 2026-09-09
- Mathematicians clash with AI labs over models racing them using their preprints — suchenzang · 2026-09-09
- Anthropic Alignment Lead Warns of '>10% Chance' AI Could Kill All Humans — WonderFactory · 2026-09-09