Why Agents Love Supabase
Paul Copplestone and Ant Wilson on building the backend for AI agents
Paul Copplestone and Ant Wilson on building the backend for AI agents
Original analysis, the Latent Space podcast and the daily AI News briefing, for engineers building with AI.
705 profiles and 281 grounded writeups on the people and organisations behind the conversations.
Stanford NLP researcher whose work spans statistical language processing, neural models, preference optimization, and action-conditioned world models.
Chai founder whose work centers on user-created AI, human-feedback evaluation and engagement-driven inference.
AI researcher and DatologyAI co-founder whose work spans neural-network representations, generalization, and training-data curation.
Applied Intuition’s co-founder and CTO develops software for intelligent machines, with an emphasis on operating systems, simulation, and the constraints of deploying AI onto physical hardware.
Databricks combines data engineering, analytics, model development, and agent infrastructure in a shared platform, building on its origins in Berkeley research and Apache Spark.
A nonprofit home for open source collaboration whose AI work spans agent protocols, machine learning frameworks, model licensing, research and certification.
The canonical essay that started it all — and named the discipline.
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