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Machine Learning Street Talk
@MLStreetTalk
MLST is by Dr. Tim Scarfe @ecsquendor w/ cameos from @DoctorDuggar youtube.com/c/MachineLearn… (early access/priv.discord) - Sponsor us!
- New book out soon - the Mythical Agent Month! (joke) The curse of agentic software engineering is that we keep more of the architecture in flux (in adaptation mode). Before we were forced to crystallise more and focus intelligence in small parts of the architecture at any one
- Adaptive specialised intelligenceso like it starts as a general-purpose harness but technically by the end of the task it has self-evolved into an ARC-AGI-3 specific harness
- The skill surface in an agent application should: > Represents everything that your app/code cannot yet do without needing intelligence. > Adapt over time, attract towards a global consistency. > Be ruthlessly re-abstracted, re-factored and compressed with increasing
- LILO: Learning Interpretable Libraries by Compressing and Documenting Code arxiv.org/abs/2310.19791… Looks interesting, new program synthesis / abstraction / compression paper from from Josh Tenenbaum's group.
