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The Weights and Biases (WandB) Fully Connected Conference 2025, held in London, was a two-day event focusing on machine learning experiments and AI development. The first day included two learning tracks. I attended the track on building agentic AI applications.

Day one featured a workshop on agent development, demonstrating WandB's tools for programmatically building agents. A notable aspect was the use of "tools" or callback functions to guide Large Language Models (LLMs), even without direct output, to encourage planning and critical review of findings. This approach was characterized as "perception as a function," enabling LLM-based systems to move beyond simple request-response. However, this architecture introduces vulnerabilities like indirect prompt injection and challenges in state management due to the LLM's finite context window. The future of this design is seen in "turnless," asynchronous, multi-agent architectures.

Day two consisted of keynote speeches and talks, starting with updates from WandB, its acquisition by CoreWeave, and other acquisitions to expand its offerings. Robin Bordoli, VP of revenue, highlighted AI advancements since 2023 and predicted future trends, citing examples like 'Open Evidence' for medical research and "Harvey" for legal research. A key challenge identified was the limited context window of models. Robin also mentioned the release of Deepseek as an example of Jevons Paradox in AI adoption. Lukas Beiweld discussed WandB's rapid release cycle post-acquisition, performance improvements (2x reduction in long-running queries), and enhanced support for video, audio, and image analysis. He also introduced Weave, a tool for agent builders offering explainability, guardrails against hallucinations, bias, and toxicity, and Open Telemetry support.