The future of imaging—and perhaps AI itself—won't hinge on smarter models but on smarter connections between them.

Five months after Meta's $14 billion deal, Scale AI has lost some of its gleam, with workers sniping about pay, and rivals coming for its clientele.

A key player in the alleged conflict is Alexandr Wang, the 28-year-old founder of Scale AI who joined Meta after it paid $15 billion for his startup. He now leads the TBD Lab of researchers.

Microsoft was an early investor in many of the latest AI companies. It ended up with a serious stake in OpenAI and benefited from early access to its models, creating Bing Chat and Copilot when Google,

Micro1 started the year with roughly $7 million ARR. Now, it claims to have surpassed $100 million in ARR, double what it reported in September.

Aible exhibited in NVIDIA’s booths at HPE Discover Barcelona and AWS Re:Invent Demonstrating Aible running air-gapped on NVIDIA DGX Spark, creating agents that can then be published to AWS to run serverless at scale or to HPE ProLiant Compute servers and HPE Private Cloud AI to run on private cloud Key use cases include automated

Beyond offering a service to individual brands, SuperCircle is also aiming to aggregate volume across many brands to give economies of scale so recycling and reuse become financially viable. The company says it has already diverted more than 6 million textiles from landfills and aims to divert more than 1 billion textiles by 2030.

TPUv7 offers a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for the economics and architecture of frontier-scale training.