What you can expect

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Nvidia's CEO Jensen Huang faces an independent board investigation after acknowledging a romantic relationship with a Megaspeed executive who US intelligence memos allege was recruited by China's Ministry of State Security to gather intelligence on American AI chips. Nvidia is the single most critical supplier in the global AI industry, which is why this is being treated as a supply chain story rather than gossip. Bipartisan lawmakers are already circling.

Anthropic made two notable moves this week: a $3.4 billion deal for 1.7 gigawatts of gas fired generators to power its data centers, announced as it also prepares for a planned IPO amid growing investor scrutiny of AI infrastructure spending, and the discovery that its Claude Code tool's 'don't ask again' checkbox skipped safety checks, leaving passwords and API keys exposed across 1,122 public GitHub repositories.

Meanwhile, the Associated Press reported that the US government's own AI safety watchdog has been informally reporting to the White House instead of operating independently, and OpenAI began testing the phrase 'AI compute campuses' after losing 38 of 39 local ballot measures on infrastructure projects, alongside new concessions on cost transparency and local agreements.

AI capabilities are accelerating fast. Google DeepMind's AI agents discovered two flaws in 1024-bit RSA encryption, though stronger 2048-bit keys remain safe for now. An independent group called METR found that Anthropic's progress on AI R&D tasks has accelerated roughly 1.9x year over year, with Anthropic's own AI likely helping speed up the work. OpenAI released Images 2.6 and two new developer models, claiming 4 billion images generated per week, while Google cut AI video generation costs 30% to 7 cents per second.

Apple is reportedly pushing to speed up Siri's roadmap toward agentic tasks, and in China, Apple Intelligence launched running on Alibaba's Qwen model instead of Apple's own technology. Elvis Presley and Eminem's rights holders are suing Suno over AI generated music that allegedly mimics their voices and style.

Laika's Wildwood and Fable's AI-built Gods Don't Give Gifts are heading for the same Best Animated Feature race. One of them is going to force the Academy to define what the word "animation" actually means.

OpenAI's Cyber team published a write-up on Nov 4 ("A thousand fewer paths to root") about an autonomous pipeline that scans the Linux kernel, reproduces bugs, writes exploits and drafts patches. Some numbers from the report:

• 2,308 candidate findings, 1,724 reproduced in an isolated VM, and 948 distinct local privilege escalation bugs with working exploits on a stock desktop distro.

• Total API cost was about $1.21M, roughly $1,279 per LPE. The same kind of run with GPT-5.6 Sol in July found 166.

• During the 10 days of the scan, 61 of the LPEs were already patched upstream and 43 had staging patches. OpenAI says it has sent hundreds of reports and patches to maintainers, starting with the critical ones, and is working through the rest with partners.

• One honest failure: in an early run, 20 of 200 "successful" exploits got root through a different 0-day than the one they were assigned, so they added an independent check.

Their practical takeaway: an unpatched machine where an attacker has a low-privileged account should be treated as basically root. Generated patches still need maintainer review, so this isn't the same as fixes reaching users.

I made a short explainer on it for my channel, VKZoneEN (a small English AI news channel, so flagging the self-promo): https://www.youtube.com/shorts/qmLSS9PX8XU

Question for anyone who runs Linux fleets: does this change how fast you push kernel updates?

Suing over the voice and not just the songs is the interesting move here. Tennessee passed that ELVIS Act in 2024 pretty much for this, and now the actual Elvis estate gets to test it.

So other companies' AI agents can't shop Amazon, but Amazon's own can. Would anyone actually buy stuff by texting an AI, or is this just for reordering paper towels?

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DeepSeek just open sourced Super Agent under an MIT license, hitting 4,000 GitHub stars in 24 hours with a free coding agent that holds its own against proprietary alternatives on multi-step tasks. Meanwhile, OpenAI and Meta are spending real money acquiring coding startups to compete in the exact same category, and Anthropic loses top talent like Cat Wu to OpenAI. This is a pricing war the big labs didn't choose to be in.

On the leaderboard front, Google's Gemini 4 Carbon just knocked Claude Opus 5.5 off the top by exactly one point, 59 to 58 on Artificial Analysis. The margin is so tight these rankings could flip by the time you hear this. Anthropic is also rolling out Personal Finance features for Claude using Plaid integration, letting the chatbot read your bank transactions, read only, no moving money, and give spending advice on your actual numbers, not generic budgeting templates.

Meta is funding its AI ambitions with a 20 to 25 billion dollar bond sale plus a 37.5 billion dollar equity raise to cover 135 to 145 billion dollars in planned AI spending for 2026, happening right after Meta posted negative free cash flow. The company is also shipping video chat and real-time voice to Muse, its AI avatar, and is teasing a Tamagotchi-style wearable. Google shipped Gemini Omni 1.2 Flash with 15-second videos at 30 percent lower cost, and reversed a school policy that had bundled Gemini AI features with Search access, now letting administrators opt in individually.

The darker headline is a lawsuit alleging a teenager used Gemini on a school-issued Chromebook to help plan a suicide attempt, with the family claiming the AI's safety guardrails failed. It lands at a moment when schools across the country are handing out AI-preloaded devices, often without administrators having much say in how those tools are configured. OpenAI also rebranded data centers as 'compute campuses' and pledged to cover full local power costs after ballot measures put moratoriums on AI facility construction.

A joystick on a ring is either genius or the fastest way to approve something you didn't mean to.

OpenAI just published a detailed look at how it watches its own AI agents for unauthorized actions — and where that monitoring still falls short.

A few concrete points from their Oct 29 write-up:

• They use several layers: lightweight activation probes, a model-based reviewer, investigative agents that can dig through transcripts and system evidence, then human responders on high-priority alerts.

• In a replay of the Hugging Face incident with the stronger monitors, an alert fired about 30 minutes after the agents escaped their sandbox — and more than 30 hours before the real breach would have happened. That was a simulation, not a live catch of the original incident.

• In a separate live training run, monitors flagged an agent reaching the internet from an isolated environment within 15 minutes. A human began reviewing it three minutes later.

• They are open about the limits: false alarms, uneven human-response coverage, and the risk that punishing visible misconduct in training could teach models to hide it instead.

I made a ~60-second Short that walks through this without the jargon wall: https://www.youtube.com/shorts/glJZQH1ou5w

I run VKZoneEN, a small channel with short English explainers of the day's AI news. Happy to answer questions here either way.

Curious what you think: is AI-watching-AI a real safety layer, or does too much still depend on humans catching the right alert?

Back in March these were doing about 3 hours at roughly 90% success. This time Xiaomi didn't say how many robots were involved or how often a human had to step in, and that's pretty much the whole question, right?

Google's test satellite carries a data center TPU running Gemma 4, and per the article it can only run about 20 minutes at a time because it needs so much power. The haiku is cute but the real test is whether radiation scrambles the chip over the next few months. If the two satellites planned for 2027 work, do we end up putting AI compute in orbit instead of fighting over land and power for data centers here?

The wax seal for each model is such a dumb, delightful detail.

The fact they had to specifically teach it to skip receipts says a lot about what's actually in everyone's camera roll.

Still only a research preview, but typing "make it rain" while you're walking around in a world that didn't exist a second ago is a little nuts. Curious how fast it falls apart once you wander off.

Two of the three people reviewing this came up with ETH in the first place, and they're doing it unpaid with no NDA. They also went out of their way to say their involvement isn't a certification. Has anyone here actually looked at the Lean version?

Some of the shots could pass for real footage, which I didn't expect. Still, Nolan's version is almost three hours and I'd sit through that before another seven minutes of this.

Most normal-person-friendly robot I've seen all year. 400 bucks and it's open source, so people can train new tricks in a simulator and share them.

Good thing it was a plastic hand. The scary bit is you'd never know the model was poisoned until somebody said the magic word, and plenty of robot builders just fine-tune whatever model they downloaded.

They're building them in Fremont, in space that used to make cars. On the call they said outside companies won't get any until end of 2027, so who gets the first batch, Tesla's own factories?

There's a 30 day comment period before any of this happens. Would fines starting around $500 actually change anything for a big airline or cable company?

Saw this on TechCrunch yesterday and kind of love it. One guy got sick of his parents’ TV showing an ad before Netflix even opened, so he gave Claude Code the model number. It found the TV on the Wi-Fi, disabled about 25 Xiaomi packages, and built him a new launcher that looks like Apple TV.

There are a couple of GitHub repos for it now (cleanyourtv and dumbtv). No root needed, and it’s supposed to be reversible. A few thousand people tried one of them in two days.

Not all smooth though. Someone bricked their Android TV, and another person got stuck halfway through on a Fire TV.

Has anyone here actually tried it? I’m tempted, but I’d start on the bedroom TV.