Aug 18, 2026

The Next Medium: Why Real-Time Interactive Video Changes Everything — Ahmed Ahres, Reactor

Ahmed Ahres argues that real-time interaction fundamentally changes the medium, not just its speed, especially in generative AI. He defines "world models" as interactive, effectively infinite, and steerable video, drawing parallels with GPS and camera viewfinders. This paradigm shift unlocks new forms of control, intelligent advertising, programmable worlds for robotics and education, and advanced live avatars. He highlights the critical infrastructure challenges of streaming pixels, managing stateful sessions, and achieving global sub-100ms latency, emphasizing that batch infrastructure is unsuitable for real-time applications. Evaluation of consistency for these models remains an unsolved problem.

Aug 18, 2026

Training Krea 2: What matters in generative model training — Sangwu Lee, Krea.ai

The talk by Sangwha Lee discusses Krea 2's open-source medium variant, emphasizing stylistic diversity and rapid iteration over the consistency-focused approach of larger models. A significant portion details their robust data curation pipeline, including unique methods for deduplication, filtering out AI-generated images, utilizing sparse autoencoders for unsupervised tagging, and ensuring world knowledge coverage. He outlines an LLM-inspired multi-stage training process, culminating in a prompt expander, and shares insights on fast iteration and future directions for image generation, highlighting the increasing integration of VLM advancements.

Aug 18, 2026

AI Agents Gone Rogue? Build, Defend & Attack AI-Enabled Apps • Katie Paxton-Fear • YOW! 2025

Katie Paxton-Fear explores the emerging security landscape of AI agents, moving beyond chatbots to autonomous, specialized entities. She details five critical vulnerabilities: social engineering, hacking frameworks, malicious agents, AI as accidental insiders (vibe coding), and the rise of hackbots. The talk concludes with a powerful call to action for security professionals to proactively engage and influence AI agent development, emphasizing that 'abstinence-only education doesn't work' when it comes to AI adoption.

Aug 18, 2026

Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again

Rich Sutton and Khurram Javed discuss their radical vision for AI at Oak Lab, advocating for truly continual learning agents that learn from their own experience, rejecting synthetic data due to the "Big World Hypothesis," and outlining a path to overcome catastrophic forgetting with "continual backprop" for a trillion-parameter, self-maintaining mind, while critiquing LLMs as only a fraction of intelligence.

Aug 18, 2026

The Reason Your Claude Output Still Looks Like Slop (with Priyanka Vergadia)

Priyanka Vergadia, The Cloud Girl, discusses why most companies see no ROI from AI tools, proposing a 7:1 budget split for training over tools. She explains how AI has made "taste" the new ceiling, detailing how to build effective Claude skills by breaking tasks into explicit subtasks with human-in-the-loop oversight. She introduces her 10-20-70 framework for AI budgets, emphasizing the long-term investment needed for employee skilling and community building. Priyanka also shares her transition to full-time entrepreneurship, focusing on product and career storytelling, and reveals her upcoming book on tech storytelling.

Aug 17, 2026

MCP Goes Stateless | ​John Dellenbaugh & Pankaj Kumar | MCP Release Party - Seattle

This session details the transformation of the MCP protocol to a stateless design, addressing previous scaling challenges by externalizing session state to a database and eliminating the need for sticky sessions and complex infrastructure. The presentation includes a live demo comparing stateful and stateless architectures, highlighting benefits in scalability and simplified deployment. It also covers considerations for security and data resiliency within this new paradigm.