ИИ-агенты: база, которую все пропускают
Everyone's talking about AI agents and skills, but there's no single, reliable point of support—everyone's trying to take matters into their own hands. In this video, I explore the foundation without which any complex system simply falls apart: what an agent, a skill, and a model actually are, and how they're connected. In the video, I covered: — how an agent differs from a regular program — what a skill is and why it's just an instruction, not "magic" — how a language model (LLM) actually works — where hallucinations come from and why the model so confidently lies — two problems with "packaging" a process into a skill — why the database doesn't burn out: logic is more important than tools Join the community on the TELEGRAM CHANNEL: https://t.me/+NmiOwLntWek2NDky ❗ All links in one place: https://taplink.cc/rixai 🔗 USEFUL LINKS ON THE TOPIC: — Anthropic documentation on agents: https://platform.claude.com/docs/en/a... ⏱ TIMECODES: 0:00 — Why everyone confuses agents and skills 1:07 — Three words: agent, skill, model 1:26 — Agent: goal vs. ready-made program 2:01 — Skill: chef and recipe 3:17 — Model (LLM): word prediction 3:41 — Why the model doesn't know the facts 4:43 — Hallucinations: the model confidently lies 5:20 — Thesis: any process = skill or agent 5:51 — Problem 1: blind assembly (black box) 6:27 — Context window: where details get lost 7:05 — The vicious circle of orchestration 8:18 — Who to trust with the banquet: your own chef vs. someone else's 9:01 — The database doesn't burn out: logic is more important than tools 10:10 — Task: Anthropic documentation on agents 11:20 — What's next on the channel 11:50 — Summary and subscription #neuralnetworks #AIagents #agentskills #Claude #Anthropic #LLM #prompting #agenticai #neuralnetworks2026 #AI #vibecoding #RixAI

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