"OpenAI has published a new National Community Compact and Compute Campus Policy Blueprint, apparently in response to the Blue Wave Midterm Elections," writes ancient Slashdot reader Gilmoure. "Instead of moving into communities like a juggernaut, they say they will be dangling friendly carrots going forward." Here's an excerpt from OpenAI's article: Every future compute campus OpenAI owns and operates will have its own local compact. We'll engage residents early enough to ensure their input shapes project plans, give them a local point of contact throughout the life of the campus, and report publicly each year on how we're doing. Each compact will reflect local priorities and include a common set of commitments: - Pay our own way on energy and infrastructure. We'll pay the full cost of the electricity we use and the infrastructure needed to serve us. Before major spending begins, we'll provide financial assurances so other customers are protected if a project is delayed, reduced, or canceled. - Protect local resources and report on our impact. We'll develop a water plan for each campus, prioritize closed-loop or low-water cooling, and publish site-level water and electricity use. We'll publish construction plans and independent noise studies before operations begin and annually afterward. And we will not use non-disclosure agreements (NDAs) with public officials, allowing only narrow protections covering legitimate security information, trade secrets, or proprietary or competitively sensitive information. - Create opportunities for local workers and businesses. We'll publish the jobs we expect to create, work with unions and training providers to help residents prepare for them, and report annually on hiring and apprenticeships. We'll also make sustained investments in priorities residents help select. [...] The investments that help America compete globally can also help communities prosper locally. That starts with giving residents a say while plans can still change and a way to hold developers accountable for delivering on their commitments. That's what we're committing to at the campuses we own and operate, and what we believe people should be able to count on wherever AI infrastructure is built across the country.

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According to Bloomberg, Apple is cutting employee AI spending limits to reduce costs, lowering some engineers from $300 to $200 per day and considering limits as low as $100, with some teams capped at $25. Employees are also being encouraged to use cheaper models or on-device AI. MacRumors reports: Engineers at Apple have the largest budgets because using AI for coding can consume a large number of tokens. Apple lets employees use Claude, ChatGPT, Gemini, and other models. Some Apple employees told Bloomberg that few were using their full $300 daily limit, so the savings may be small. Apple has also hired outside productivity consultants for some divisions. Combined with the AI cost cuts, the reviews have fueled worries about possible restructuring.

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