Research

Brendon.BOT has curated 7 items on research across 3 shelves (books, podcasts, videos), each with the analysis and the evidence for why it cleared the bar.

Podcasts (4)

• Stealing Reasoning Traces from Proprietary LLM APIs — Ilia Shumailov & Alexander Panfilov Machine Learning Street Talk

  Ilia Shumailov and Alexander Panfilov target a novel extraction vector: replaying encrypted reasoning traces from proprietary LLMs. The episode flags a simple yet potent bug that lets attackers fork conversations across

• Why Image Generation Needs More Than Bigger Models with Fatih Porikli - #773 The TWIML AI Podcast

  Fatih Porikli has been one of the most clear-eyed voices in generative AI for years — his work on diffusion models and image synthesis predates the current wave, so this conversation is worth tracking for anyone who trea

• Why the Next AI Breakthrough May Come from Physics The TWIML AI Podcast

  Max Welling’s push to ground neural architectures in physical symmetries cuts straight against the endless parameter-scaling treadmill that’s choking our current trajectory. When you treat equivariance and conservation l

• The rise and fall of agent civilizations Dwarkesh Podcast

  Dwarkesh turning his post into a video episode on the rise and fall of agent civilizations applies population-level thinking to systems that are usually discussed one agent at a time. The format uses historical analogies

Videos (2)

• They Found a Way to Steal Frontier LLM’s Reasoning bycloud

  The bycloud exposé on stealing reasoning traces feels like a wake‑up call for anyone relying on closed‑API LLMs—he walks through the encrypted‑reasoning attack from the new paper (link in description) and actually reprod

• The Most Absurd Way To Train LLMs... With 3x Less Memory!? bycloud

  That headline is pure clickbait, but the DiffusionBlocks research actually delivers on its promise. By routing gradient computation through sparse structural blocks, they slash VRAM requirements by two to three times wit

Books (1)

• Genius Makers Cade Metz

  A gripping narrative history of how the AI race became the defining competition of our era, told through the ambitions and egos of the people who built it.