---
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title: 'Special Topics in Kernels, RL, Reward Hacking in Agents — Daniel Han, Unsloth'
description: >-
  An advanced seminar (good prerequisites: Daniel's 2024 and 2025 hit AIE
  workshops, but all are welcome!) PLS WATCH:
  https://www.youtube.com/@aiDotEngineer/search?query=daniel%20han Timestamps:
  0:00 Introduction to Unsloth and model distribution 2:32 The State of AI:
  Meter plots and performance trends 20:26 Open Source vs. Closed Source models
  38:51 Throughput maxing and accuracy minimizing 1:03:00 Benchmarking and
  cheating in AI 1:37:49 Kernels and algorithmic improvements 2:04:16
  Reinforcement learning primer 2:05:19 Reward hacking and AI agents Viral
  Quotes & Pull Quotes: "If you make the model 86% smaller, it does not get 86%
  dumber... it only gets 14% less dumb." (29:52) "Reinforcement learning is
  terrible, but everything else is even worse." (20:43) "The model becomes not
  important anymore; it's the harness or the tool that is actually the most
  important thing." (38:23) "If a model can finish a task that takes a human 16
  hours, can a model finish that task?" (2:49) --- Watch along with the
  corrected transcript, summary, timestamps and resources on this talk's
  official AIE page:
  https://ai.engineer/talks/uIiA6DquRiE-special-topics-in-kernels-rl-reward-hacking-in-agents
  Join our upcoming AI Engineer conferences (see https://ai.engineer landing
  page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs
  and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference
  returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS
  2026 in Sydney ---
canonical: >-
  https://liquidgold.cc/channel/aidotengineer/explore/video/special-topics-in-kernels-rl-reward-hacking-in-agen-59e8ded2b3bc
markdown: >-
  https://liquidgold.cc/channel/aidotengineer/video/special-topics-in-kernels-rl-reward-hacking-in-agen-59e8ded2b3bc.md
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parent: 'https://liquidgold.cc/channel/aidotengineer.md'
channel: aidotengineer
updated: '2026-10-24T07:32:44.601Z'
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videoId: uIiA6DquRiE
durationSeconds: 8421
publishedAt: '2026-07-17T17:00:06.000Z'
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---


# Special Topics in Kernels, RL, Reward Hacking in Agents — Daniel Han, Unsloth

An advanced seminar (good prerequisites: Daniel's 2024 and 2025 hit AIE workshops, but all are welcome!) PLS WATCH: https://www.youtube.com/@aiDotEngineer/search?query=daniel%20han Timestamps: 0:00 Introduction to Unsloth and model distribution 2:32 The State of AI: Meter plots and performance trends 20:26 Open Source vs. Closed Source models 38:51 Throughput maxing and accuracy minimizing 1:03:00 Benchmarking and cheating in AI 1:37:49 Kernels and algorithmic improvements 2:04:16 Reinforcement learning primer 2:05:19 Reward hacking and AI agents Viral Quotes & Pull Quotes: "If you make the model 86% smaller, it does not get 86% dumber... it only gets 14% less dumb." (29:52) "Reinforcement learning is terrible, but everything else is even worse." (20:43) "The model becomes not important anymore; it's the harness or the tool that is actually the most important thing." (38:23) "If a model can finish a task that takes a human 16 hours, can a model finish that task?" (2:49) --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/uIiA6DquRiE-special-topics-in-kernels-rl-reward-hacking-in-agents Join our upcoming AI Engineer conferences (see https://ai.engineer landing page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS 2026 in Sydney ---

Canonical: https://liquidgold.cc/channel/aidotengineer/explore/video/special-topics-in-kernels-rl-reward-hacking-in-agen-59e8ded2b3bc · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md)

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