The Age of AI Agents
summary
Claims that Moonhub’s AI recruiter can screen and engage ~10,000 candidates at once, and that Sakana’s AI scientist pipeline goes from idea → code → run → fix → results → draft paper, are backed by demos and a clear failure mode: chained steps need per-step success probabilities above a threshold or the whole workflow collapses. Enterprises need an orchestration layer, audit trails, human‑in‑loop controls and EU AI Act compliance; prediction is a 2025 reliability inflection, with debate between many task agents versus eventual unified intelligence.
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chapters (6)
- 0:00Introductions
- 1:16Defining AI agents
- 5:12Building reliable agents
- 7:59Trust and business adoption
- 11:30The future of agentic systems
- 17:47Practical lessons for 2025
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