Jensen Huang admits affair amid spy claims

PLUS: Turn your X bookmarks into a personal research desk

Zach Mink

November 9, 2026

Good morning, AI enthusiasts, and welcome to our 9,830 new readers. A week ago, Nvidia was brushing off a report about an alleged spy plot involving its CEO as routine customer meetings. Now, Jensen Huang is publicly apologizing, and his own board is investigating.

Few founders are as inseparable from what they built as Huang, and no company touches the entire global AI industry like Nvidia. So the fallout from his admitted affair could reach far beyond a single boardroom.

In today’s AI rundown:

Jensen Huang admits affair as Nvidia probes spy claims
The Rundown Roundtable: Our AI use cases
Turn your X bookmarks into a personal research desk
Anthropic’s Claude ‘dreams’ to fix its own memory

LATEST DEVELOPMENTS

NVIDIA

🕵️ Jensen Huang admits affair as Nvidia probes spy claims

Image source: NetThunder on LinkedIn

The Rundown: Nvidia’s board of directors just ordered an independent review of reports that CEO Jensen Huang was targeted by a “foreign intelligence effort,” with Huang admitting to an extramarital affair in a letter to staff and saying, “There is no excuse for what I did. I am deeply sorry.”

The details:

Sec. of State Marco Rubio reportedly oversaw a spring memo on Jensen and Alice Huang, an Nvidia customer exec it linked to China’s top spy agency.
After calling their meetings “completely normal” last month, Jensen told staff, “I was unfaithful to my wife” and reportedly confirmed the relationship to the board.
Reporting has yet to establish what, if anything, Ms. Huang (aka Huang Le, no relation to Jensen) learned from him, while China denies the spying claims.
Outside lawyers and independent directors will run the review as Jensen stays CEO, with the board seeing “no reason to believe” any secrets were compromised.
Jensen also has until Nov. 11 to answer a House GOP request for a private briefing, with more congressional investigations expected over the relationship.

Why it matters: AI stocks are already reeling from the midterm election results. Now, a spy scandal around the CEO of one of the industry’s biggest companies is unlikely to help either. Nvidia touches nearly every aspect of the AI industry, and Huang is the frontman of it all, so all eyes will be on what the board finds and his future with Nvidia.

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THE RUNDOWN ROUNDTABLE

💡 The Rundown Roundtable: Our AI use cases

The Rundown: The Rundown Roundtable is a weekly feature where we poll members of The Rundown staff about how we use AI in our work and daily lives.

Brooke, Community Lead: I'm on the customer side, not the engineering side. When something breaks, I usually find out when a customer writes in, and by then a bunch of people have already hit it. We had an error chart in our analytics tool, but I don't often remember to check that dashboard every day, and a basic “alert me over X errors” setup would go off constantly for things that aren't real problems.

I built a Claude scheduled task that checks our error chart every morning, filters out the noise, and tells the whole team in Slack only when something's actually wrong. I set it up just by describing what I wanted in plain English. I gave Claude the rules on which error types are real problems and which aren't, and it only counts the ones that matter.

Now, I hear about issues before customers have to tell me. I tested it over the past couple of weeks, and it flagged every day something really broke and stayed silent on a busy day that was all harmless errors.

Jennifer, Tech & Robotics Writer: My preteen daughter has spent months debating whether or not to get bangs, mostly worried about the "total humiliation" if they went wrong. So we uploaded her photo to ChatGPT and asked for four versions of bangs: blunt, curtain, wispy, side-swept.

She loved it and finally narrowed down her choice, and the appointment is booked for this weekend. It’s hardly a groundbreaking use case, but it’s a fun way to try on a decision before a stylist makes it permanent.

AI TRAINING

🔖 Turn your X bookmarks into a personal research desk

The Rundown: X moves quickly, and saving posts is easy. Finding the useful ideas again is harder. In this guide, you’ll connect Grok Bot to X, review a week of bookmarks, spot repeated themes, and turn one finding into a post draft.

Step-by-step:

Check the difference between free Grok chat and Grok Bot. Bot is included with Premium, Super, and Ultra on the X Subscription. X Chat is still rolling out
Connect the official X plugin with the Grok Bot. Check that it is linked to the same account where you save posts
Bookmark 8 to 12 useful posts about one topic. Choose examples, questions, and problems, not just launch announcements
Message your Bot in X Chat and ask it to group the bookmarks into themes. Check the direct links and compare each claim with the original post
Choose one supported theme and ask for an X post draft. Review the wording and sources yourself; leave publishing off

Pro tip: A set of bookmarks can show what you have been reading, but it can’t prove what all of X thinks. Keep the source links with every theme.

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ANTHROPIC

💤 Anthropic’s Claude ‘dreams’ to fix its own memory

Image source: Anthropic

The Rundown: Anthropic just published its own take on AI “dreaming,” sharing how Claude agents use downtime to fix and reorganize their memory, and what it’s learned about what an AI should actually bother remembering.

The details:

Memory refers to notes Claude saves as files and reads back in later sessions, so it can build on past work instead of starting from scratch each time.
Unlike ChatGPT’s version, which previously built a profile of the user, Anthropic’s dreaming has Claude check its notes against logs of past work to catch errors.
Anthropic said newer models have gotten much better at judging what to save, and that explaining to the AI why memory matters beats rules on what to write.
In tests on Pokémon, Fable 5 earned four badges with only 10 memory files, while an older Sonnet 3.7 got just one using 413, and Opus 5.5 beat the game entirely.

Why it matters: It feels like not too long ago that the early iterations of ‘memory’ in AI assistants were a comically simple scratchpad with bare-bones notes on the user. Now they can recall past chats in detail down to the most obscure reference, and the next step is agents that continuously remember the job and improve at it the longer they work.

QUICK HITS

COMMUNITY AI WORKFLOW OF THE DAY

▸ Kate built a custom camera feature for Facebook Live presentations

Today’s workflow comes from reader Kate MacGregor:

“I built a live camera bubble that floats over my slides during Facebook Live presentations. Because Facebook Live does not let me switch between my camera and a shared screen, I wanted my face to stay visible while I presented. This is useful for anyone who streams presentations to a Facebook Group and wants viewers to see them speaking.

Claude Code built the working app within about five minutes. I made one tweak to the camera bubble's shape, and it was then a finished, usable product.

When I'm ready to go live in the Facebook Group, I click the camera bubble app on my local desktop. It uses my laptop camera, and I can drag the bubble around the screen and choose the circle size that suits whatever I'm sharing. Before I go live, I select "share entire screen" in the Facebook Live settings. Viewers then see my slides or screen with my floating camera bubble, so they can see me speaking as I present.”

See the workflow on our Community Workflow Hub →

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📰 Everything else in AI today

Uncharted: A blueprint for secure AI agents on Nov. 18 – Explore new AI security research and discover how leading models hold up to in-depth, rigorous, and broad multi-turn attacks. Register for free.*

AI video platform Higgsfield previewed Miracle, which splits video into editable layers so users can recolor objects or swap on-screen text, currently open only to beta testers.

AI-for-physics lab Physical Superintelligence said its system, running an unreleased Anthropic AI, proved a quantum computing conjecture open since 2008, with Stanford researchers calling it “a huge result.”

Thinking Machines Lab released Inkling 2 Small, a model that nears top rivals from DeepSeek and Kimi on coding tests, with the lab planning to open-source it next week.

OpenAI reportedly closed about $11B in new funding at a $1.25T valuation, up from its valuation of $852B in March.

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