Sep 30, 2026

Inside OpenAI DevDay: Superhuman Computer Use, Decisions API, and the AI Cloud — Ari & Nikunj

OpenAI has unveiled significant advancements in its AI agents and developer APIs, transforming Computer Use into a self-debugging system capable of superhuman speeds. Key innovations include multimodal interfaces, the Agents API for building on OpenAI's harness, and a new API stack featuring async tool calling, UltraFast inference, and the rapidly developed Decisions API for fast classification. These advancements, coupled with robust caching and context compaction, pave the way for an "AI cloud" with higher-level primitives for developers.

Sep 30, 2026

The Future of the Grid: How AI Transforms Power System Planning

Microsoft Research introduces GridSFM, an open foundation model designed to accelerate power grid analysis. By combining open data, machine learning, and physics-based modeling, GridSFM provides millisecond-level approximations of AC Optimal Power Flow (ACOPF) solutions, enabling faster scenario evaluation, planning, and research for increasingly complex energy systems.

Sep 30, 2026

AI, Infrastructure, and the Next Investment Cycle

David George, Sarah Wang, Alex Immerman, and Santiago Rodriguez from a16z walk through 25 charts from their State of Markets presentation, covering why markets are rising on earnings rather than multiple expansion, the roughly $780B hyperscaler capex race, the new age of atoms in physical infrastructure, enterprise AI adoption gaps, agent economics and falling inference costs, consumer AI and marketplace disruption, the bifurcation of SaaS, the rise of mega private companies, and the sectors they are most excited about next.

Sep 30, 2026

The State of AI in Software Development: Data from 400+ Orgs — Justin Reock, DX

Justin Reock of DX presents five trends from research on about 200,000 engineers, covering deployment frequency, change failure rate volatility, the maintainability and change confidence gap, growing PR sizes, differences across junior and senior engineers, the DX AI Measurement Framework, platform AI readiness, agent experience, and why code generation was never the bottleneck. Case studies from Morgan Stanley, Zapier, and Spotify illustrate AI applied across the SDLC.

Sep 30, 2026

The Chief AI Officer: Scientist, Architect, Coach — Rania Khalaf, WSO2

Rania Khalaf, Chief AI Officer at WSO2 and formerly a long-time leader at IBM Research, shares a framework for a role that is still being defined. She covers the Scientist, Architect and Coach focus areas, how the balance shifts by company type and AI maturity, and why she measures AI adoption, agent readiness and market signals instead of token counts. She also addresses the need for CEO backing and the question of who should own AI.

Sep 30, 2026

The Death of the Code Review: What the Data Actually Says — Laurie Voss, Arize AI

Agents have multiplied code output, but human review cannot keep pace, and reviewer effectiveness collapses past roughly 400 lines. This talk by Laurie Voss surveys what OpenAI, METR, Cognition, Cursor, GitHub, Carlini, and Bun are doing about it, from mergeability benchmarks and multipass automated review to prompt injection and production monitoring as the last line of defense.