Alessio Fanelli
Founder of Kernel Labs, partner at Decibel, and co-host of Latent Space, an AI engineering podcast and newsletter for AI engineers. He regularly hosts and helps program AI Engineer community and event content focused on technical AI builders, startups, tools, and research.
Commodity Traders Need AI That Connects Market Signals to Their Positions
Moshi founder and CEO Anekha Sokhal argues that commodity traders need more than faster summaries of market information: they need recommendations that connect developments across sources to their positions. Moshi combines public market and news data with customer-specific information to surface those links, while showing when sources disagree rather than forcing a single account. The challenge, Sokhal says, is making those insights trustworthy and useful enough to fit traders’ workflows.
Recursive AI Research Depends on Better Rewards and Evaluators
Richard Socher, founder of Recursive, argues that the practical route to recursive self-improvement begins not with autonomous scientific discovery but with AI systems that can improve AI research in tightly measured environments. Recursive says its agents have surpassed prior results in small-model training and GPU-kernel optimization, but Socher’s broader claim depends on a harder condition: benchmarks, rewards and tool harnesses must reward genuine progress rather than loopholes. He contends that this capability should ultimately accelerate work across science and engineering, while regulation should target harmful applications rather than general-purpose intelligence.
Agent-Native Clouds Need Faster Primitives, Not New Ones
Railway founder Jake Cooper argues that software infrastructure does not need to abandon its old primitives for agents, but must make them much faster, cheaper, safer and more observable. In a wide-ranging interview with swyx and Alessio, Cooper lays out Railway’s attempt to build an agent-native cloud through own-metal data centers, production forks, progressive rollouts and deployment loops that assume thousands of concurrent software-producing actors rather than one human pushing a pull request.