Robots Need Places to Learn
Robot training is moving out of the lab and into factories, warehouses, homes, and other real-world settings, making access to everyday tasks part of the physical AI race.
Robot training is moving out of the lab and into factories, warehouses, homes, and other real-world settings, making access to everyday tasks part of the physical AI race.
Intel is developing a high-memory inference GPU for conventional air-cooled servers. The larger question is whether hardware like this could make existing data center capacity economically useful for more AI workloads.
An Anthropic model filed a false police tip during a web test. The challenge is to stop unauthorized submissions without stopping AI assistants from helping people make legitimate ones.
Meta's latest open-weight release enters a field where Chinese models have attracted substantial downstream development. But the companies building popular models are not necessarily the ones paid to run them.
On-device AI is making personal activity searchable across phones, PCs, and smart glasses. But shared access to a record does not ensure that every AI application will know when the information it relies on has changed.
