What if more data alone won't solve robotics? Ken Goldberg on why good old-fashioned engineering still matters
Ken Goldberg argues that robotics needs more than data - modularity, algorithms, and metrics still matter. A breakdown of his MIT talk on the 100,000 year data gap.
The limiting factor in physical AI isn't compute or architecture - it's data
Robotics is hitting a data wall. The architecture debate gets much of the attention, but the data constraint is more fundamental.
VLAs are dead, long live World Action Models - a summary of Jim Fan's Robotics End Game talk
Jim Fan argues robotics will follow the exact LLM playbook - and VLAs are already being replaced by World Action Models.
What is physical AI - is it more than just hype?
Physical AI has become a real trend, but is there something real here or is it just hype?
Why I joined Eventual
Chris Kelloggs shares why he joined Eventual to build open-source, distributed systems for large-scale AI and multimodal data workloads
Daft 2025 Year in Review - Minor Releases, Major Evolution
In 2025, we shipped 56 releases and introduced features that changed how teams run multimodal AI pipelines at scale.
Knowledge curation (not search) is the AI big data problem
Google was Information Retrieval. Wikipedia is Knowledge Curation.
Why I Joined Eventual
Sam Stokes shares why he joined Eventual, the company behind Daft, and what excites him about helping build our large scale data processing platform.
Agentic systems are just query engines for unstructured data
Explores how agentic AI systems act as declarative query engines, revealing how reasoning and orchestration transform unstructured data.
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