The Dot and the Swarm
- ID
- 30688
- Status
- summarized
- Published
- 01 Oct 2026, 6:54 PM
- Fetched
- 01 Oct 2026, 7:06 PM
- Provider
- One Useful Thing
- Category
- research-analysis
- Original URL
- https://www.oneusefulthing.org/p/the-dot-and-the-swarm
- Source URL
- https://www.oneusefulthing.org/feed
Summary
- Score
- 7.5
- Created
- 01 Oct 2026, 7:06 PM
- Tags
- Audience
- developersvibe_codersai_agent_usersai_ml_learners
What happened
Ethan Mollick walks back his own thesis that working with AI agents would require human-style management — specifying delegation and agent org structure — saying the Bitter Lesson caught him out: his research found planning steps now add much less value because models plan for themselves, just as elaborate retrieval plumbing and prompt chains were overtaken by models that seek information on their own. His demo is a one-prompt music video where Fable wrote lyrics and sent them to Suno, and Opus 5.5 did everything else in code with no image generation and no feedback. He frames the current wave as 'Clawlikes' — Meta's Muse (currently the number one App Store app), OpenAI's dots, plus Grok Bot, Instinct and Gemini Spark — agents that get computer access and connect to your email and financial records.
Why it matters
If you maintain multi-step prompt chains or hand-built retrieval/orchestration scaffolding, this says the payoff shrinks with every model release — benchmark a single-prompt baseline against your pipeline before investing more engineering in the scaffolding. Separately, Muse and dots ask users to hand over account connections to email and financial data, so if you ship anything in that space, the competitive bar and the user's security expectations are being set by agents that already request that access.
Discussion angle
Name the piece of your agent stack you'd delete tomorrow if the next model planned and retrieved by itself — then argue what actually breaks in your product if it does, and whether that's a cost saving or a moat disappearing.