Markdown source

Special topics in Kernels, RL, Reward Hacking in Agents

Conference Context

Session 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

Media Evidence

(Full Workshop) Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

Evidence Graph

This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

Media Signals

Agent Reading Notes

Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

Transcript Status

Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Not fetched yet.

People

Supporting Slides

Slide Evidence

Synthesis

Synthesized Breakdown

Special topics in Kernels, RL, Reward Hacking in Agents ## Conference Context - Date/time: 2026-06-29 · 2:20pm-5:30pm - Track/room: Workshops Day 1 · Track 3 - Speaker(s): Daniel Han - Session type/status: session · confirmed - Track: Workshops Day 1 - Room: Track 3 - Session type: session - Status: confirmed ## Session 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 ## Media Evidence (Full Workshop) Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions). - Source video: youtube-OkEGJ5G3foU - Slide deck: [[youtube-OkEGJ5G3foU-dense-slides|Dense Slides: [Full Workshop] Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han]] — no readable content slides after AI classification. - Additional slide evidence: [[youtube-OkEGJ5G3foU-slides|Slides: [Full Workshop] Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han]], [[youtube-OkEGJ5G3foU-reconstructed-slides|Reconstructed Slides: [Full Workshop] Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han]] - Slide-derived themes for youtube-OkEGJ5G3foU: fixes, chat, template, multiple, llama, research, google, github. ## Evidence Graph This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

Speaker And Company Context

Topics Covered

Derived Links And Source Material

Novel Concepts / Clever Methods

Evidence Boundary

This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.

Official YouTube Recording