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Don't waste 2 years figuring out how AI agents actually work. ex. Anthropic & Google engineers at Stanford just dropped a 1-hour lecture on self-improving AI agents: • 00:00 - Introduction to self-learning AI systems • 31:22 - inside a LLM: self-correction, backtracking • 42:24 - goal → loops... show more

Movez

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38,762 views • 3 days ago •via X (Twitter)

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Don't waste 2 years learning to build self-improving AI agents. Stanford just dropped a 3 hour course on building AI agents from scratch. • 00:00 - self-improving AI agent basics • 1:07:24 - multi-step reasoning in AI agents • 2:22:04 - AI agents learning from feedback Anthropic pays $750,000/year to AI engineers who master this exact knowledge of building AI agents. Bookmark this & watch, no matter what. It’ll be the most productive start for your week. Then read article below.

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Anthropic just released 5 workshops on building self-improving agentic systems from scratch: 00:00 - Ship your first Claude agent 36:44 - Self-improving agents (tools,skills) 1:21:25 - Build memory for Claude agents 1:49:47 - Set up a proactive agent 2:11:31 - Make your agent autonomous These 3-hours of Claude workshops will replace 20 paid agentic courses. Watch today, then read article below on how to build a self-improving agentic system with Fable 5.

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Anthropic engineer: “80% of our engineers are using self‑improving loops. Now everyone is building agentic Graphs. In 4-6 months, we’ll all be building graphs to orchestrate self‑improving agents. No more prompting.” in a 20‑minute talk, Anthropic engineer explains how to build self‑improving agentic systems from scratch. Worth more than a $500 agentic course. Watch this video, then read the article below on how to become a graph architect.

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672,674 views • 15 days ago

Anthropic engineer at Stanford: “80% of our engineers are using self-improving loops. Now everyone is building agentic graphs.” in 1-hour Stanford lecture, Anthropic engineer reveals how Claude thinks - and why Graphs are the future. This 1-hour watch will replace your $500 course on agentic engineering. Watch it today, then read how to become a Graph Engineer in the article below.

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Anthropic engineer: "85% of our engineers are using self-improving loops. Now everyone is running agentic Graphs. In 3-6 months, we’ll all be building graphs to orchestrate agents. No more prompting." In a 45-minute talk, an Anthropic engineer shows how to build a self-improving agentic workflow from scratch. Worth more than a $500 agentic course. Watch this video, then read the full roadmap on how to become a graph architect in the article below

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Ex-Google Jeff Dean just released 1-hour lecture on full AI engineering: LLM → prompts → agent teams → graphs from 0% to 100%: 0% → 1:45 - LLM from scratch - that made Google 30% → 17:22 - how to actually use AI models 65% → 30:03 - prompt engineering 100% → 52:35 - one human coordinating 100 agents this is 27 years of AI in Google compressed into one hour, by the person who lived it watch it today - then read how to build graphs in the article below ↓

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