local AI

A 60 Minutes report examines how the race to build artificial intelligence is driving a rapid expansion of data centers across the United States, and the growing resistance from communities where the facilities are being built. Residents have raised concerns over energy demands, water use, noise and strain on local power grids, turning data center approvals into a contested political issue in towns across the country.

New York City has subpoenaed Elon Musk and his artificial intelligence company xAI as part of an investigation into AI safety. The move makes the city one of the most prominent US local governments to target a major AI developer directly, and it adds regulatory pressure for Musk, whose AI business is already drawing scrutiny alongside his other ventures.

A new open-source project called Strata claims to run Qwen 3.8 Flash Next, a 125-billion-parameter model, on a single consumer RTX 4090 graphics card at roughly 100 tokens per second. The claim has drawn strong interest from developers, who are discussing performance figures, memory requirements and whether the results hold up in practice.

Mac users are sharing methods to turn off Apple Intelligence on macOS and recover the significant disk space its local models occupy. A GitHub script circulating among developers promises to remove the AI features and free up storage, sparking discussion about whether Apple should make the AI models optional rather than bundled by default.

A Washington Letter column reports that recent polls show American voters are increasingly concerned about the rapid advancement of artificial intelligence and the construction of data centers to support it. The worries reflect broader public anxiety over AI's impact on jobs, energy use and local communities where large data center facilities are being built.

A company offered residents of a French town more than €80,000 in exchange for allowing the construction of an AI data center in their community. The inhabitants refused the offer, and the company has now taken legal action against the town. The case is drawing attention in France as debates grow over the local impact of AI infrastructure projects, from energy consumption to land use.

Salvatore Sanfilippo, the creator of Redis, has released ds4, a tool for running large language models on local machines, hosted at dwarfstar.sh. The project is drawing attention on developer forums, with readers discussing the novelty of the well-known open source engineer moving into the local AI tooling space.

Hackaday has published a new article looking at running AI directly on gaming PCs, focusing on the hardware side of the topic. The piece examines how consumer graphics cards and local machines can be used for AI workloads, a subject of growing interest among hobbyists and PC enthusiasts discussing local AI setups.

California has approved a law prohibiting companies from dismissing employees based on decisions made exclusively by artificial intelligence, requiring human oversight in termination decisions. The story is gaining traction in Brazil, where it is being discussed alongside local labour cases, including a woman who won compensation after being fired while on maternity leave, keeping dismissal practices in the public debate.

Authorities in Yakutia, Russia, have announced additional deliveries of AI-92 and AI-95 petrol to the region. The move comes amid public concern over fuel availability and pricing, and the topic is drawing wide attention as residents watch whether the extra supplies will ease local shortages.

An open-source tool has been released that allows Mac users to delete around 12GB of local Apple Intelligence data stored on macOS. The tool, covered by The Verge, highlights how much space Apple's AI features occupy on users' machines and gives people a way to reclaim storage if they do not use the AI capabilities. It is drawing attention among Mac users and tech watchers discussing the storage footprint of on-device AI.

RemoveMacAI, an open-source utility, deletes Apple's built-in Apple Intelligence features from Macs, which reportedly have no off switch since macOS 27. By removing the local AI models, the tool frees up storage and system resources on machines running the features. It is drawing attention from Mac users looking for a way to fully disable Apple's AI software.

The push to build AI data centers in Kansas has stirred up state politics, with disagreements over land, water, power and tax incentives dividing lawmakers and communities. The issue is now shaping up as a defining theme in the upcoming race for Kansas governor, with candidates expected to take positions on how the state should handle the rapid expansion of AI infrastructure.

Open-source clones of the Jev AI assistant have been released, with developers saying they can run entirely inside a web browser without dedicated servers or paid subscriptions. The projects aim to replicate the assistant's behavior locally, and interest centers on how closely they match the original and what a browser-based version means for access to the tool.

An iOS developer is weighing whether the growing demand for AI computing power will ultimately be met on devices or in data centers, saying they push as much processing on-device as possible for privacy and cost reasons. They note Apple is betting on on-device AI, but argue frontier models keep getting bigger, and are asking where others think the balance will land.

Apple is tightening Full Disk Access permissions on macOS, a change widely framed as a response to AI-powered apps that request broad access to users' files. The move would limit how much of a Mac's data such applications can reach by default, tightening one of the system's most sensitive permission gates. Discussion so far centres on what the change means for developer workflows and AI tools that rely on reading local files.

The Ownership Economy Summit is showcasing models of community wealth-building, from Atlanta churches investing in local enterprises to villages in Pakistan running shared energy projects. Organizers argue these ownership structures offer practical blueprints for distributing the gains of artificial intelligence and the clean energy transition more broadly, rather than concentrating benefits among a few companies and investors.

Beijing, Shenzhen, Hangzhou, and Chongqing have each released a wave of AI industrial policies for 2025-2026, framed in Western coverage as 'catching the AI wave.' But analysts argue the documents reveal a different logic: the policies function as a debt resolution strategy, with AI investment positioned as the main path to economic recovery.