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Zynga Founder: Consumer Is Not Investible Right Now - Thats Why You Should Build It

Zynga Founder: Consumer Is Not Investible Right Now - Thats Why You Should Build It

Mark Pincus, founder of Zynga, discusses the product philosophy behind "Life at the Speed of Play," focusing on consumer innovation in the AI age. He introduces the "Proven, Better, New" framework, shares insights on founder mode, and predicts a future where "intelligence on tap" driven by free AI compute will unlock unprecedented opportunities for new "internet treasures," despite current investor skepticism in the consumer space.

Memory and Continual Learning: Engram's Dan Biderman and Jessy Lin

Memory and Continual Learning: Engram's Dan Biderman and Jessy Lin

Dan Biderman and Jessy Lin of Engram introduce their "always training" paradigm, focusing on baking a team's knowledge directly into a model's weights to achieve true memory and continual learning. This contrarian approach, which they call a "RAG killer" for specific use cases, promises up to 100x token savings and superior performance by internalizing context rather than relying on ever-larger context windows or external retrieval, envisioning a future where everyone has their own continually learning, personalized AI model.

Have we finally solved social engineering? Plus: World Cup fraud, AI IDs and an IBM/OpenAI collab

Have we finally solved social engineering? Plus: World Cup fraud, AI IDs and an IBM/OpenAI collab

This podcast episode explores the intersection of AI and cybersecurity, discussing whether AI-native operating systems can curb social engineering, the impact of AI agents on identity and security, and the ongoing threat of cybercrime exploiting major events. It also highlights IBM's new partnership with OpenAI to enhance application security using advanced AI models.

⚡️Every product of the future will be a living system  — Ronak Malde, Trajectory.ai

⚡️Every product of the future will be a living system — Ronak Malde, Trajectory.ai

Ronuk Malde, CEO of Trajectory.ai, discusses his journey from building AI coding agents at Windsurf to his current focus on continual learning for enterprise AI. He shares insights on leveraging real-world user data, the unique challenges of model acquisition, and how Trajectory.ai's platform, powered by innovations like scaled SDPO and a novel training stack, enables dynamic, always-learning AI models for diverse industries from legal to finance.

6 Things to Know about AIE World's Fair 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.

The data black hole at the center of AI

The data black hole at the center of AI

AI progress is fundamentally driven by vast amounts of data and compute, rather than improvements in sample efficiency, creating a stark contrast with human learning. This essay explores the "black hole of data" powering AIs, quantifies the massive sample-efficiency gap between humans and machines, counters common objections, and discusses the implications for white-collar automation and future AI research.