Find your next rabbit hole.

Cosine’s software agent learns from reconstructed development work: finding relevant code, planning changes and recovering from mistakes. Its experience shows why better patches depend on more than code generation.

Part 6 of 6 of Latent Space’s ICML 2024 recording: faster robot policies, Chelsea Finn’s approaches to learning from language and experience, and Younghyo Park’s case for automatic environment shaping.

How requirements, mutable harnesses and agent security fit together in a conversation about the next era of coding agents.

A harness gives a model tools, context and boundaries. As models learn more of the coordination once supplied by software, harness design increasingly turns toward permissions, decisions and human attention.

An AIE Europe debrief on agent infrastructure, model specialization, and what changes when software generation outruns human review.

From queued business-software requests to specialized software teammates, Part 1 explores agent composition, knowledge graphs, engineering tradeoffs, and the discovery infrastructure a network of agents would need.

Part 2 follows the practical problems of delegating to agents: generating interfaces, testing candidates, choosing models, pricing work, and sharing context—with a closing turn to domain markets and long-term conviction.

Part 3 of 3 moves from accessible video tools and controlled image edits to reusable expertise—and the personal and community priorities that keep useful work sustainable.

Canvas and Tasks connect interface design with model training: choosing when to act, understanding what the user wants, and building trust through collaboration.

A conversation with Bret Taylor about building at technology’s limits, defining what agents should deliver, and making their decisions inspectable and correctable.

How Factory combines enterprise context, behavioral evaluations, retrieval, and human planning to turn coding tasks into delegated work.

An October 2023 conversation about applying models, delegating work to agents, and making useful AI software economically sustainable.