Jul 13, 2026

From fork() to Fleet: Designing an Agent Sandbox Cloud — Abhishek Bhardwaj, OpenAI

This talk by Abhishek Bhardwaj from OpenAI details the architectural considerations for building secure and scalable AI agent sandboxes in the cloud. It explores runtime isolation technologies (from basic process execution to containers, GVisor, and microVMs), emphasizing the superior security of hardware-virtualized microVMs. The speaker then highlights the critical need for persistent storage, outlining explicit (copy-on-write snapshots) and always-on (tiered block storage) solutions as the next major unlock for agent capabilities. Finally, it touches on orchestration challenges for fleet-level management, including low-latency sandbox creation and snapshot-driven scheduling.

Jul 10, 2026

Podcast Crossover: AIE, AGI, frontier lab strategy with ​ ⁨@matthew_berman⁩ and @swyxtv

Matt, the organizer of the AI.engineer conference, shares insights into its origin, the challenges of early adoption, and its current value as a neutral ground for AI labs. He delves into AI hardware trends, discussing specialized chips like Etched, and gives a nuanced take on Anthropic's Fable, addressing performance concerns and compute limitations. The conversation then explores OpenAI's rumored equity offer to the US government, discussing implications for regulation and societal involvement. Matt shares his perspective on AI existential risk and alignment, emphasizing the need for pragmatic engineering solutions. Finally, he outlines the limitations of current LLMs, the critical need for data efficiency, and offers strategic advice for "Agent Labs" navigating the "model capability overhang" versus multi-model agnosticism.

Jul 10, 2026

Should AI Engineers Still Read Code in 2026? The Z/L Continuum — Alex Volkov, ThursdAI

Alex Volkov introduces the "Z/L Continuum," a framework for navigating the tension between rapid AI-generated code production and the critical need for human review. He argues that the key lies in understanding that the continuum applies to tasks, not individuals, and presents a pragmatic routing table for verifying changes based on their criticality, highlighting the shift towards engineering systems that build and verify code, rather than meticulously inspecting every line. The talk also touches on emerging capabilities like Fable and "loops" and the importance of flexibility and human judgment in the evolving AI engineering landscape.

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.

Jul 03, 2026

GPT-5.6 Sol, FIFA AI & Wall Street’s AI nerves

OpenAI's new GPT-5.6 Sol model sparks debate on AI safety and release strategies, while Wall Street expresses growing skepticism over the long-term economics of frontier AI models. The discussion also touches on AI's impact on the FIFA World Cup and a thought-provoking paper comparing LLM anthropomorphism to Age of Empires II "goats."

May 21, 2026

The Story Behind Cerebras’ $63 Billion IPO with Founder and CEO Andrew Feldman

Cerebras CEO Andrew Feldman discusses the company's journey from a contrarian bet on wafer-scale computing to a $63 billion public company. He details the technical breakthroughs, the challenge of being ahead of the market, and how the recent explosion in AI demand for fast inference validated their architecture, leading to a landmark $20 billion deal with OpenAI.