Ai

The Golden Age Thesis | Marc Andreessen on MTS

The Golden Age Thesis | Marc Andreessen on MTS

Marc Andreessen discusses the current state of AI, arguing that real-world usage and productivity gains tell a story of euphoria and empowerment, directly contradicting the fear-based narratives prevalent in media and misleading polls. He explores how AI is creating hyper-productive “builders” and expanding work rather than eliminating it, while also touching on the breakdown of institutional trust and the stark generational divides in how technology and truth are perceived.

Top Black Holes Physicist: GPT5 can do Vibe Physics, here's what I found

Top Black Holes Physicist: GPT5 can do Vibe Physics, here's what I found

Theoretical physicist Alex Lupsaska shares his journey from AI skeptic to collaborator, detailing how advanced GPT models solved a year-long problem in quantum field theory concerning gluon scattering amplitudes, and then generalized the solution to gravitons, signaling a new era of AI-accelerated scientific discovery.

Robotics' End Game: Nvidia's Jim Fan

Robotics' End Game: Nvidia's Jim Fan

Jim Fan of Nvidia outlines the endgame for robotics, arguing it will mirror the successful playbook of Large Language Models. He introduces "The Great Parallel," a roadmap where World Models replace Language Models, and data collection shifts from limited teleoperation to scalable egocentric video, culminating in a future of physical APIs and automated research.

LLM codegen fails and how to stop 'em — Danilo Campos, PostHog

LLM codegen fails and how to stop 'em — Danilo Campos, PostHog

Danilo Campos of PostHog details the common failure modes of LLM-based code generation—from model rot to security risks—and shares the practical, prose-driven strategies his team uses to make their autonomous coding agent reliable for thousands of users.

The 3 Words That Secretly Drive Developer Productivity & Motivation • Yanina Ledovaya • GOTO 2025

The 3 Words That Secretly Drive Developer Productivity & Motivation • Yanina Ledovaya • GOTO 2025

Cognitive psychologist Yanina Ledovaya explains how to boost developer productivity and satisfaction by focusing on three universal human needs from Self-Determination Theory: Autonomy, Competence, and Relatedness. This talk delves into how these psychological drivers underpin developer motivation, influence the adoption of AI tools, and provide a practical framework for managers to create more effective and engaging work environments.

Collaborative AI Engineering — Maggie Appleton, GitHub Next

Collaborative AI Engineering — Maggie Appleton, GitHub Next

Maggie Appleton from GitHub Next argues that current agentic tools are flawed by focusing on individual productivity, ignoring the collaborative nature of software development. She introduces ACE (Agent Collaboration Environment), a multiplayer platform designed to solve team alignment issues by integrating planning, development, and shared context in a real-time, sandboxed environment.