Jun 21, 2026

6 Things to Know about AIE World's Fair 2026

Discover the AI Engineering World's Fair 2026, the largest iteration yet, offering an unparalleled deep dive into AI engineering with expanded tracks on auto research, GPU specialization, and new verticals like finance and healthcare. Highlights include an innovative expo experience, exclusive leadership initiatives like the "Token Billionaires Program," and unique side events fostering community, including "Posters on AI" where attendees can defend their tweets. This event is designed to be a curated hub for practical, cutting-edge insights and networking in the AI/ML professional landscape.

Jun 19, 2026

The Age Of The 40-Year-Old Solo Founder Is Here

Bryant Chou, co-founder of Webflow, introduces his new AI-powered platform, Ploy. This episode delves into how Ploy transcends traditional website builders by integrating analytics, CRM, and SEO to autonomously optimize marketing. Chou discusses Ploy's 'anti-slop' approach, leveraging curated data and expertise to produce high-quality web designs, and reflects on building a startup in the AI era compared to Webflow's early days. He also explores the competitive moat of purpose-built AI, the concept of 'agents as customers,' and how experienced founders can leverage AI to 'clone themselves' and achieve unprecedented speed and scale.

Jun 18, 2026

The AI Frontier: from FLOPs to Megawatts — Anjney Midha, AMP

Anjney Midha unpacks the critical bottlenecks in AI scaling beyond just GPU acquisition, advocating for responsible infrastructure, community-aligned data centers, and an independent system operator model for compute. He discusses the perils of research hoarding, the rise of researcher CEOs, and how Anthropic's culture of "preparedness" and "output maxing" led to its success, while also highlighting his personal mission to use AI for precise end-of-life prediction.

May 22, 2026

Reflections of AI: A Trilogy in 4 Parts • Rasmus Lystrøm • GOTO 2025

In a talk styled as "A Trilogy in Four Parts", Rasmus Lystrøm critically examines the real-world impact of Generative AI, debunking productivity myths and highlighting hidden costs like degraded code quality and environmental strain, while advocating for a return to solving real user problems with valuable, often simpler, technology.

May 21, 2026

"Garbage In, Garbage Out" is a LIE

Terrence Lee-St. John, author of "From Garbage to Gold," challenges the "garbage in, garbage out" mantra. He presents a data-architectural theory explaining why models trained on noisy, high-dimensional tabular data can achieve robust predictive performance by focusing on recovering latent signals rather than exhaustive data cleaning.

May 20, 2026

Inference, not prediction — Prof. Michael I. Jordan on what modern AI is still missing

Michael I. Jordan, a leading figure in machine learning and statistics, argues for reframing AI from a race for disembodied superintelligence to the design of collective economic systems. He critiques the AGI hype, advocates for integrating economic principles and robust uncertainty quantification into ML, and proposes a new intellectual framework for building technology that augments, rather than replaces, human systems.