AI·Article analyzes neoclouds CoreWeave and Nebius' massive GPU builds funded by circular financing: Nvidia's $4B equity stakes plus a $6.3B GPU purchase backstop, offset by $122B+ hyperscaler leases (Microsoft/Meta) that shift capex to opex and enable rapid Blackwell/Rubin deployment.
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AI·Reports of Meta selling excess AI compute and Anthropic signing massive data-center deals prove the notion of AI compute oversupply is a myth; actual deliverable frontier capacity remains scarce.
AI·Meta plans to mass-produce its own Iris AI chip by September, DeepSeek and Zhipu AI are developing custom inference chips, and OpenAI unveiled Jalapeño, signaling a shift from NVIDIA GPU reliance to full-stack model + chip + cloud strategies.
Even after getting ARR reviews and a meta review, how is the acceptance decided at the *ACL venues, because I have seen meta review 3.5 getting to findings and 3 getting to main or even getting rejected. Then what is the purpose of the overall score and recommendation? What do the conferences see when deciding? Do they only care about the metareview and their comments, or the whole set of reviews…