California Governor Gavin Newsom's recent decisions on AI legislation have elicited mixed reactions from the tech industry. While the veto of a bill imposing new controls on automated decision-making systems was welcomed, concerns remain over a signed AI transparency law introducing new liabilities beyond platform control.
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Governor Greg Abbott announced that all new Texas data-centre projects must be audited by the Public Utility Commission and grid operator ERCOT - a sharp turn for a state whose loose regulation and cheap power made it second only to Virginia for data centres. The trigger is a staggering queue: ERCOT's interconnection requests doubled from 233GW in January to 474GW, about 90% data centres, more than five times the grid's all-time peak demand. Audits will demand power and water use, noise mitigation, light controls, tax-incentive use, and ownership details - after a voluntary survey that most operators simply ignored.
Apple sued OpenAI in federal court in Northern California for trade secret theft and breach of contract, alleging former Apple employees took confidential material to benefit OpenAI's consumer hardware ambitions - and that the misconduct was directed by senior leadership, running, in Apple's words, from members of technical staff to the Chief Hardware Officer. Specific claims include an engineer who allegedly kept an Apple laptop and downloaded confidential documents, and OpenAI allegedly using Apple's proprietary metal-finishing technique by misleading a shared supplier into believing it had permission. IO Products is also named. OpenAI says it has no interest in others' trade secrets.
An AWS GraphRAG deployment in pharmaceutical research cut R&D cycles by 87% - initial discovery that took six months now closes in three weeks - by fusing siloed internal databases and public literature into one queryable knowledge graph on Amazon Neptune Analytics and Bedrock (running Claude). Every answer comes with verifiable citations and a mapped reasoning path, which is exactly what regulated industries need for compliance. The architecture is modular and, crucially, transferable: any enterprise drowning in fragmented legacy data can copy this pattern.