
The Daily AI Show AI Moves From Models to Swarms
26 snips
Jan 28, 2026 They dig into the shift from single models to agent swarms and how orchestrated sub-agents change workflows. Open-source breakthroughs and low-cost models are contrasted with API cost pressures and hardware bottlenecks. Conversation moves to embedding AI into real systems, open weather and scientific tooling, decentralized sensing, and LaTeX-native research workspaces accelerating scientific collaboration.
AI Snips
Chapters
Transcript
Episode notes
Running Agents From Your Phone
- Andy described CloudBot (now Moldbot) running persistent agents via messaging apps so you never need to open a browser.
- He plans to switch his local agent to Kimi K 2.5 to reduce API costs and run cheaper agent workloads.
Screen Recording To Site Clone
- Kimi K-2.5 can ingest a screen recording and reconstruct a working clone of a website, showing multi-agent coordination for UI, interactions, and animations.
- This demonstrates practical agent capabilities for rapid UX replication and prototyping.
Control Agent Costs With Open Models
- Monitor API costs when running agent workflows and switch to cheaper open models when possible to control budgets.
- Prefer local or low-cost open models for heavy or persistent daily agent usage to avoid exhausting paid credits.
