Herbie Bradley: AI swarms are the future, offering 10,000x more use-time compute than training
herbiebradley · x · 2026-09-17
Herbie Bradley argues AI swarms/groups are probably the future, because they're the only way to get 10,000x more compute applied to problems at use-time than at train-time. He adds that swarms may aid diversity/novelty slightly more than naive agent use, due to the complex patterns of communication that result.
Related event: Researchers Debate AI Swarms as Path to 10,000x Inference Compute(4 posts)→
More from Research
- Scaling Trust Arena Shares Update, Teams with Andon Labs, Publishes Draft Spec — sebkrier · 2026-09-17
- NBER paper: early teamsters got 'obsolescence rents' as trucks neared — a lesson for self-driving AI — paulnovosad · 2026-09-17
- Filtering synthetic envs where Qwen deterministically fails but GLM5.3 solves reveals odd behaviors — kalomaze · 2026-09-17
- Stanford hosts Empirical Methods in the Age of AI conference Oct 2-3 with Susan Athey, Alberto Abadie — StanfordHAI · 2026-09-17
- CHOP's MONAI-based cardiac modeling turns existing scans into heart models in seconds — LuizaJarovsky · 2026-09-17
- Meta's FLAT unifies image-text representations with 1D flexible-length tokens, hits 83.1 GenEval — meta · 2026-09-17