@VukRosic99: Build LLM in 1 Prompt + Setup Autoresearch By DeepSeek Researcher (his side project) A live build where you create a fu…

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Summary

Demonstrates building a full LLM using a single prompt to an AI coding agent (Claude Code/Codex) and installing an autonomous AI research skill by a DeepSeek researcher, covering architecture, failure modes, and unattended operation.

Build LLM in 1 Prompt + Setup Autoresearch By DeepSeek Researcher (his side project) A live build where you create a full LLM by handing a single prompt to an AI coding agent (Claude Code / Codex). It sets up the optimizer, architecture, training-data download, and training end to end. Then we install the autonomous AI research skill built by a DeepSeek researcher (his personal side project) and walk through how it works: 1. the three failure modes of long-running agents (cognitive loops, stalling, runtime fragility) 2. the behavioral constraints that let it run unattended, 3. the guardian agents that watch the workers, 4. the orchestrator that spawns a fresh-context agent per task to avoid context rot, 5. and the file/log structure that keeps it going on its own. 0:00 Intro 0:23 LLM in one prompt 1:29 Auto-research skill 3:39 Three failure modes 6:14 Orchestrator & files 11:22 LLM architecture 13:47 Q&A --- LLM prompt - https://gist.github.com/vukrosic/8a273d6d07b1e40ab752ab969dc474d1… Autoresearch - https://victorchen96.github.io/auto_research/framework.html#fullmd… LLM - https://github.com/vukrosic/llm-research-kit… --- Join next LIVE: https://skool.com/become-ai-researcher-2669/about…
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Build LLM in 1 Prompt + Setup Autoresearch By DeepSeek Researcher (his side project)

A live build where you create a full LLM by handing a single prompt to an AI coding agent (Claude Code / Codex).

It sets up the optimizer, architecture, training-data download, and training end to end.

Then we install the autonomous AI research skill built by a DeepSeek researcher (his personal side project) and walk through how it works:

  1. the three failure modes of long-running agents (cognitive loops, stalling, runtime fragility)
  2. the behavioral constraints that let it run unattended, 3. the guardian agents that watch the workers,
  3. the orchestrator that spawns a fresh-context agent per task to avoid context rot,
  4. and the file/log structure that keeps it going on its own.

0:00 Intro 0:23 LLM in one prompt 1:29 Auto-research skill 3:39 Three failure modes 6:14 Orchestrator & files 11:22 LLM architecture 13:47 Q&A


LLM prompt - https://gist.github.com/vukrosic/8a273d6d07b1e40ab752ab969dc474d1…

Autoresearch - https://victorchen96.github.io/auto_research/framework.html#fullmd…

LLM - https://github.com/vukrosic/llm-research-kit…


Join next LIVE: https://skool.com/become-ai-researcher-2669/about…

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