Human ai collaboration

Sep 27, 2026

The grief, loneliness, and burnout sweeping through the tech industry right now

Molly Graham revisits her classic "Give Away Your Legos" career advice for an AI era, exploring grief and burnout in tech, the difference between delegating to AI and to humans, the overblown fear of job displacement, which Legos should never be given away, and what effective managers should do now. Key ideas include treating AI as a junior intern, the human sandwich model of vision and review, and reframing careers as evolving rather than disappearing.

Sep 11, 2026

OpenAI talks GPT-6 Astra and Millenium Prize, researchers create WeWorm exploit & IBM’s US Open app

This episode explores OpenAI's groundbreaking GPT-6 Astra model and its resolution of the Navier-Stokes equation, the AI-powered fan experiences developed by IBM for the US Open, and the concerning implications of AI-assisted cybersecurity threats like the WeWorm zero-click exploit.

Sep 08, 2026

How we built Grok Bot in a month | Roman Ugarte (SpaceXAI)

Roman Ugarte, a key figure behind Grok Bot, shares insights into its rapid development, emphasizing the strategic choice to build it as a separate, cloud-first product with bots having their own dedicated 'computers.' The discussion highlights a "colleague-pilled" product philosophy focused on full delegation and constant reinvention, enabling the creation of autonomous AI teammates for both work and personal life.

Sep 06, 2026

Why companies are becoming a series of loops | Anish Acharya (a16z)

Anish Acharya, a General Partner at a16z, shares profound insights into the AI era. He debunks fears of a "permanent underclass," arguing that AI amplifies human agency and ambition. Anish introduces the concept of company building as creating cascading "loops" across all functions, with human intuition crucial for overcoming local maxima. He identifies the biggest consumer opportunity as "/loop, make me happier," focusing AI on fundamental human needs like connection and fun. He also discusses the nuances of model specialization, how moats are discovered rather than designed, the rising importance of distribution, and the potential for "expensive consumer software," offering actionable advice for product builders to embrace AI.

Sep 01, 2026

Can AI Learn Mathematical Intuition?

Daniel Litt, a mathematician, discusses AI's impact on his field, highlighting its strengths in computation and applying known techniques, while noting its weaknesses in intuition and theory-building. He emphasizes that the goal of math is understanding, not just proofs, and warns that current academic incentives might be distorted by AI-generated papers. Litt raises broader concerns about preserving human intellectual development as AI advances.

Jul 09, 2026

The Golden Age of AI Engineering — Alexander Embiricos & Romain Huet & Peter Steinberger, OpenAI

OpenAI's Romain Huet and Alexander Embiricos, joined by Peter Steinberger, outline the explosive progress of Codex at Dev Day 2024. They highlight the shift from manual coding to managing autonomous agents, enabled by rapid model iteration (every 6 weeks), open-source developer tools, and optimizations for cost-effectiveness ($1/M input tokens) and blazing inference speed (750 tokens/sec). The discussion centers on empowering AI engineers, not replacing them, by evolving agent capabilities, fostering an open ecosystem, and addressing future challenges like seamless local/cloud task execution and human attention as the new bottleneck in agent orchestration.