Welcome to the DailyAI Briefing, the day’s five biggest AI stories. US voters turned down AI data centres in 40 of 41 local ballots, and three in four said they’d oppose one nearby. OpenAI’s agents found 948 ways to take over Linux at about $1,279 each, Washington promised a list of the laws AI labs already have to follow, Apple cut its staff’s daily AI budgets, and ChatGPT learned to make animated GIFs.
Let’s dig in.
Voters turn down AI data centres in 40 of 41 local ballots
40 out of 41. That’s how many local data centre measures went against the buildout on Tuesday, across 10 US states, according to Ballotpedia and results gathered by CNBC. Of the 41, 28 would limit data centres through bans, pauses or new approval rules, and 13 would have made building easier. Ohio held 21 of them. The one exception was Harwood, North Dakota, where voters rejected extra review of large industrial projects.
Voters across the country delivered a sweeping rebuke to data center development in Tuesday’s midterm elections, approving restrictions on the massive facilities that have become central to the AI boom and electing officials who have promised to rein in their construction.
— NBC News November 5, 2026
The NBC News exit poll found 76% of voters would oppose a new data centre in their own community, and 56% called AI data centres a crucial or major factor in their vote for Congress. Goldman Sachs chief economist Jan Hatzius estimates that states where Democrats are likely to add restrictions hold roughly 45% of planned US data centre capacity, Business Insider reported. The plain reading: the scarce thing for AI companies is no longer just chips or power, it’s a town willing to say yes. Our full story has the details.
OpenAI’s agents found 948 ways to take over Linux
$1,279 per flaw. That’s what OpenAI says it cost its AI agents to find and build a working attack for each of 948 separate Linux flaws that let an ordinary user take full control of a machine, in a research post published on Wednesday. The whole run cost $1.21 million. The agents listed 2,308 possible flaws, confirmed 1,724 in sealed-off test machines and wrote a fix for every one of the 948, The Hacker News reported.
These are local flaws, so an attacker still needs a foothold first, such as a stolen login. But bug-hunting contests have paid $20,000 to $70,000 for a single flaw like this, which makes the run look cheap. On Thursday evening OpenAI also named the model behind it, introducing GPT-6 Cyber for security teams. If finding serious bugs costs about a thousand dollars each, the bottleneck shifts to the human maintainers who have to review the fixes. Our deep dive breaks down every stage.
Washington to list the laws AI labs already face
535. That’s the number of members of Congress Emil Michael, the Pentagon’s chief technology officer, said he doesn’t want writing their own AI rules. Speaking at a Wall Street Journal conference in Napa on Wednesday, he said the government’s Super Intelligence Task Force would publish the existing laws and regulations that apply to AI labs “in the next week or two”, Reuters reported. The task force, set up in October and led by Director of National Intelligence Jay Clayton, reports to the President.
The timing isn’t subtle. Democrats have just won both chambers, and Texas Representative Greg Casar said AI bosses “should be called to testify under oath”, The Hill reported. A list of current laws isn’t new regulation, but it will set the starting point for whatever the new Congress tries. Our story covers who sits on the task force.
Apple cuts staff AI budgets from $300 a day
Some Apple engineers could once spend $300 a day on AI tools. That fell to $200 last month, some teams may get $100, and staff outside engineering could drop to as little as $25, Bloomberg reported. Staff use Claude, ChatGPT and Gemini, according to 9to5Mac, and some teams are being told to switch to cheaper or on-device models.
It’s a small line in a very big budget. Apple’s full-year results show research and development spending of $45.8 billion, up 32%. The point is the direction: after two years of telling staff to use AI as much as possible, big companies are starting to count the cost per task. We ran the numbers on what the caps mean per engineer.
ChatGPT now makes animated GIFs
4 billion images a week. That’s how many people now make with OpenAI’s tools, up from 3 billion in September, the company said as it launched Images 2.6. The headline feature is looping GIFs, made from a typed idea or an uploaded photo, on every ChatGPT plan. You can change the speed and edit frames, though, per OpenAI’s help page, you can’t edit a GIF you upload from elsewhere.
With ChatGPT Images 2.6, turn a prompt or image into an animated GIF. Adjust the speed, edit individual frames, and share it on repeat.
— OpenAI November 4, 2026
Animating your dog is fun. Animating someone else’s photo without asking is less so, and a moving picture of a real person is easy to pass off as genuine. It’s worth checking where a GIF came from before trusting it. Our story explains how it works.
Signing off
Today was about who gets to say no. Voters said it to data centres, Apple said it to its own staff’s AI bills, and Washington is trying to say it to Congress before Congress says it to the AI labs. Meanwhile, OpenAI showed how cheaply AI can now find the holes in the software the world runs on.
See you tomorrow.
The post DailyAI Briefing: Data centres lose 40 of 41 local votes, plus 4 more appeared first on DailyAI.
