Posts

Vision: Zero Bugs — Johann Schleier-Smith, Temporal

Vision: Zero Bugs — Johann Schleier-Smith, Temporal

This talk explores the history of high-assurance software, from the near-perfect code of the NASA Space Shuttle to the Airbus A320. It argues that while these rigorous engineering and formal verification practices were once too expensive for mainstream use, the economic shift brought by AI and agentic coding can make aerospace-level reliability a practical reality for a wide range of applications, solving the key quality limitations of current AI-generated code.

Fully Connected 2025 kickoff: The rise (and the challenges) of the agentic era

Fully Connected 2025 kickoff: The rise (and the challenges) of the agentic era

Robin Bordoli of Weights & Biases explores AI's exponential growth, from past achievements to the current agentic landscape. He discusses the rise of reinforcement learning, the challenge of productionizing reliable agents, and highlights how foundational issues in AI development persist even as model capabilities soar.

Fully Connected keynote: Building tools for agents at Weights & Biases

Fully Connected keynote: Building tools for agents at Weights & Biases

A summary of the keynote by Lukas Biewald (Weights & Biases) and Camille Fournier (CoreWeave) at Fully Connected London 2025. They discuss recent product updates for W&B Models and Weave, the synergy behind the CoreWeave acquisition, and a deep dive into building and automating an autonomous software engineer agent.

The 2045 Superintelligence Timeline: Epoch AI’s Data-Driven Forecast

The 2045 Superintelligence Timeline: Epoch AI’s Data-Driven Forecast

Epoch AI researchers discuss the AI landscape, arguing against a bubble due to strong enterprise spending and profitability. They forecast significant economic shifts, including a potential 30% GDP growth with advanced AI and the automation of 10% of current jobs this decade. The summary covers the unlikelihood of a software-only singularity, the reality of data center buildouts (with Anthropic surprisingly in the lead), and why energy 'bottlenecks' are economic trade-offs, not hard limits. Also explored are timelines for AI solving major mathematical problems and why robotics remains primarily a hardware challenge.

AI That Can Change Its Mind? (New Architecture) [w/ Sakana CTO]

AI That Can Change Its Mind? (New Architecture) [w/ Sakana CTO]

Llion Jones, a co-inventor of the Transformer, and his colleague Luke Darlow from Sakana AI argue that the AI industry is trapped in a local minimum by the Transformer's success. They discuss the architecture's fundamental limitations using the 'spiral problem' analogy and introduce their new, biology-inspired Continuous Thought Machine (CTM), an architecture designed for more human-like, sequential reasoning and adaptive computation.

Context Engineering & Agentic Search with the CEO of Chroma

Context Engineering & Agentic Search with the CEO of Chroma

Jeff Huber, CEO of Chroma, discusses "context rot," the degradation of AI performance in large context windows, and outlines a new vision for retrieval infrastructure. He covers the evolution of search, the importance of a two-stage recall-then-precision pipeline, and the challenges of agentic memory, advocating for a shift from AI "alchemy" to reliable engineering.