On November 3, voters backed data-center restrictions or rejected development in 40 of 41 local measures across 10 states. Harwood, North Dakota was the only exception. Democrats who had campaigned on tougher rules won governorships in Texas, Georgia and Ohio. Two days later the Nasdaq fell 5.5%, and the Philadelphia Semiconductor Index had its worst session since March 2020. Outlets put its drop at anywhere from about 10% to 12% (Guardian · AI, CNBC · Technology). Memory stocks and neoclouds fell hardest: SanDisk lost 22% and Nebius about 15%. South Korea's Kospi then fell more than 8%. Nvidia lost over $440bn in market value, and Nasdaq 100 futures pointed to a partial rebound on November 6 (Financial Times · AI).
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It is not clear how much of the drop came from the election. Qualcomm issued weak guidance the same day, Arm's results disappointed, and the chip index was already about 31% below its high. Barclays and UBS expect the buildout to slow and get more expensive rather than stop. UBS estimates that construction pauses could put about 30% of planned 2028 US capacity additions at risk. No moratorium has become law.
Companies are already changing their approach. Verge · AI on future campuses. It also promised to pay full power and grid costs and to publish job estimates. The move follows backlash over its $20 billion campus in Effingham County, Georgia, and similar reversals by Microsoft and Amazon. On hardware, NVIDIA Generative AI behind Vera Rubin NVL72: NVFP4, wide expert parallelism, Dynamo KV-cache reuse, the Vera CPU and CMX flash. NVIDIA measured its headline figure of 30x throughput per megawatt over GB300 itself, at 160 tokens/s per user. SemiAnalysis's separate tests found up to 7x, which is the more useful number for buyers whose limit is power.
Cheaper exploits, slower patches
OpenAI gave select Daybreak Red customers access to TechCrunch AI. It reports that an automated pipeline found 948 Linux kernel privilege-escalation bugs for about $1.21 million. Fixes trail far behind: Patch the Planet shows 466 of 1,995 logged issues merged upstream. The same pattern showed up in WSJ · Technology, which attackers exploited before patches shipped on October 21. About 37,000 vulnerabilities were disclosed in Q3, roughly triple the figure a year earlier, and the UK's NCSC and India's CERT-In issued warnings specific to AI.
Biosecurity raises a similar question about timing. In a Cognitive Revolution of 153 novices, those using LLMs completed the full workflow at 5.2%, compared with 6.6% for internet-only, a gap that was not significant. Sentinel Bio's Joshua Monrad argues such results lag model progress. He wants DNA synthesis providers to screen orders and expects customer checks to extend to AI agents.
Agents take on standing roles
Perplexity launched Verge · AI, always-on agents for its $200-a-month Max plan. They inherit the user's permissions and check in over Slack, and they arrive weeks after OpenAI's Dots and Anthropic's Claude Duet. Datasette shows a more tightly controlled version of agent work. Simon Willison puts apps in a panel beside the chat, and Simon Willison requires human approval before an app gains write access. Microsoft Research goes further: a developer approves a plain-language spec, and the Verus prover checks an agent-written Rust login handler against it. Visual polish and correctness still don't always line up. r/AISEOInsider that creators prefer on looks, but GPT-6 Astra passed correctness checks more often on 3JSBench.
Real-time video gets cheaper
Meta opened TechCrunch AI to US adults. It distilled a 40-step model into a 2-step one and runs 12 live sessions on a single GB200. Google's Google AI extends clips to 15 seconds and cuts the 720p price to about $0.07 per second. API calls to version 1.1 will be served by 1.2 from December 3.
Robots learn from people
NVIDIA released Two Minute Papers, which is due in early 2027. In an interview, Spencer Huang described mixing physics simulation, Cosmos world models and human video for training. MIT Technology Review takes a more direct route: remote operators steer humanoids through San Francisco homes, and each cleaning produces demonstration data. In one reporter's tests the robots made clumsy mistakes.
Models, campuses and newsrooms
A last30days · argues that closed models now lead on price-performance, though the post does not show its data. Four Australian universities are rolling out OpenAI News, led by UNSW's 80,000-user deal, and are redesigning assessment around AI despite union objections. At the Telegraph, Guardian · AI as part of an AI-led overhaul.
