Issue No. 44Week ending Sunday, November 1, 2026686 episodes · 3021 articles
The Throughline ↓
The Podcast Summary.

10+ hours of podcasts, in 5 minutes.

Host

Alessio Fanelli

Co-host, Latent Space

Alessio Fanelli appears in 7 full episodes we cover on Latent Space and How I AI. Host of Latent Space. Below is what each conversation covered, with a key takeaway per article. Every quote in the articles is verbatim and timestamped to the source video.

7 episodescovered
35 articleswith timestamped quotes
AILatent Space

Simulating Humanity: from Generative Agents to 8 Billion Digital Twins — Joon Sung Park, Simile AI

Joon Sung Park, co-founder and CEO of Simile AI and lead author of the landmark Generative Agents ('Smallville') paper, details his journey from artist to Stanford PhD researcher building foundation models of human beha…

  • Frontier models like GPT-4 drop as low as 20% to 30% accuracy when simulating real human behavior in niche sub-populations because they are optimized for hyper-rational reasoning. Read →
  • Joon Sung Park and co-founder Percy Liang, who coined the term foundation model at Stanford, argue that public web data cannot accurately simulate real human behavior. Read →
  • Static persona prompts fail because frontier models collapse into stereotypes rather than reflecting actual human choices. Read →
AIHow I AI

How I run autonomous coding agents from my phone with OpenAI Symphony + Linear

Claire Vo and Alessio Finelli discuss how Alessio uses OpenAI's Symphony and Linear to manage autonomous coding agents, streamlining software development tasks and tracking costs. They also explore AI's broader impact o…

  • Track token usage ruthlessly: Don't just prompt and hope for the best. Alessio Finelli, a builder working with OpenAI's Symphony, constantly tracks token usage to pinpoint where a… Read →
  • AI is unlocking a new wave of small business creation by efficiently bridging the gap between digital tools and physical world realities. Read →
  • Stop manually prompting AI agents for every code change. Alessio Finelli argues for a shift from being an "agent prompter" to an "agent manager," overseeing a workflow that autono… Read →
AILatent Space

⚡️Making DeepSeek v4 outperform Opus 4.7 with Taste — @AhmadAwais , CommandCode.ai

Ahmad Awais discusses Command Code's "Taste" system for personalizing AI coding agents through automatically learned developer preferences. He reveals a novel "repair logic" that deterministically fixes persistent tool-…

  • Amadou Wace of Command Code reveals how "repair logic" and compositional frameworks can eliminate AI-generated design slop, turning generic outputs into human-quality UIs. Learn h… Read →
  • Open-source models like DeepSeek V4 Pro, despite their quirks, can be tuned to surpass proprietary giants like Claude Opus 4.7 for demanding coding tasks. Read →
  • Command Code's "Taste" system, a meta-neuro-symbolic model, automatically infers a developer's specific "micro decisions" and repeatable coding behaviors. Amadou Wace cites an exa… Read →
AILatent Space

⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind

Omar Sanseviero from Google DeepMind discusses the release and capabilities of Gemma 4, including its novel E2B architecture for on-device inference, its multimodal and multilingual advancements, and its positioning rel…

  • Research now often means "engineering with unknowns": Omar Sanseviero from Google DeepMind notes that many researchers spend their days on "ablations," which means moving pieces a… Read →
  • Gemma 4 brings multimodal AI to your pocket: Google DeepMind's Omar Sanseviero confirmed that Gemma 4's smaller models can now process audio, images, and short videos (30-60 secon… Read →
  • Google's Gemma 4, an on-device model, already matches the state-of-the-art capabilities from 1 to 1.5 years ago for local functions like agentic tasks and conversational AI. Read →
AILatent Space

Inside Abridge: The AI Listening to 100 Million Doctor Visits — Abridge's Janie Lee & Chai Asawa

This episode features a conversation with Janie Lee and Chai Asawa from Abridge, an AI company revolutionizing healthcare documentation and clinical intelligence. They discuss Abridge's journey from addressing 'pajama t…

  • Abridge initially solved the painful problem of "pajama time"—the 10 to 20 hours doctors spend weekly on administrative documentation, often after hours. Read →
  • Errors can be fatal. Unlike general enterprise AI, mistakes in healthcare AI carry an “extremely high” downside risk, according to Abridge co-founder Chai Asawa. This demands a ra… Read →
  • Abridge, the AI company revolutionizing healthcare documentation, attacks doctor 'pajama time' by personalizing AI output at three distinct levels: the individual clinician, the m… Read →
AILatent Space

The $15B Physical AI Company: Simulation, Autonomy OS, Neural Sim, & 1K Engineers—Applied Intuition

This episode features Peter Ludwig and Qasar Younis, co-founders of Applied Intuition, a $15B company building "physical AI" for autonomous machines across various industries. They discuss the critical need for a specia…

  • Physical AI software is stuck in the pre-Android era, facing a "50 different operating systems" problem that chokes modern AI deployment on vehicles, according to Applied Intuitio… Read →
  • Applied Intuition, now a $15 billion company, defines its mission as building "physical AI" for moving systems like cars, trucks, defense, and mining equipment, not just software… Read →
  • Performance is Safety in Neural Simulation: Developing end-to-end autonomy models requires "neural simulation"—hybrid methods like Gaussian splatting and diffusion that simulate a… Read →
AILatent Space

⚡️ Competing with ChatGPT and Sierra, building a $10M ARR company — Yasser Elsaid, Founder, Chatbase

Yasser Elsaid, founder of Chatbase, discusses his journey from a bootstrapped side project to a $10M ARR AI customer service company. He shares insights into Chatbase's product-led growth strategy, its vision for AI age…

  • Yasser Elsaid, founder of Chatbase, is building more than just AI customer support. His vision is for AI agents to become true "Chief Customer Officers" (CCOs) for entire companie… Read →
  • Yasser Elsaid, founder of Chatbase, states that for AI customer service agents, 95% of limitations come from the "harness" (the surrounding system), not the underlying LLM. Read →
  • Chatbase founder Yasser Elsaid now uses AI chatbots like Claude as his primary discovery engine to research and choose new business tools, bypassing traditional search entirely. Read →
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