Context Window: AI Daily News Brief

The 4-minute daily AI news brief that makes artificial intelligence make sense. Every morning, five stories in plain English — no hype, no doom-scrolling, just the signal. artificiallyintimidating.com

  1. 8h ago

    Nvidia Lost Its Founder. Now Someone Has to Count the Chips. -- AI Brief November 13

    Good day %%first_name%%. Sorry this one is landing in your inbox late. I’ve been running around all day getting ready for tonight’s big event: Face to Flash, twelve of my NickyDigital photos of New York nightlife from the fall of 2006, opens tonight with a NickyDigital Reunion from 7 to 10pm at Here BK, 26 Bushwick Avenue in Brooklyn. There’s a photo booth, bloghouse DJs and drinks at 2006 prices. If you’re in NYC, please come join us. Now, the news. Nvidia no longer has Jensen Huang, the man who built it, and the most useful part of the story may be the least glamorous one: somebody is counting chips. Also today: AI personas lifting comedians’ jokes to sell subscriptions, the people backing up their AI partners before the next model update, deepfake victims being told “it’s not real,” and a Duke team asking whether musicians will start writing for the AI detector. Nvidia Lost Its Founder. Now Count the Chips. NVIDIA Newsroom * What happened: Nvidia’s board announced Thursday that Jensen Huang has resigned as president, CEO and board member, effective immediately, after 33 years. CFO Colette Kress becomes interim CEO and keeps the CFO job, Harvey C. Jones becomes the company’s first-ever board chair, and the search for a permanent CEO will consider internal and external candidates. Earnings are still set for Tuesday, November 17. * Why it matters: On Wednesday we gave you the trailer: an acknowledged affair with Alice Huang, a former executive at Singapore’s Megaspeed whom U.S. officials suspect of working for China. Then The New York Times reported a relationship with an Nvidia executive who reports to him, and the board moved. Nvidia’s statement addressed neither, PBS notes, and shares fell more than 4% Thursday. Axios put it plainly: “It’s impossible to overstate how critical Huang is to Nvidia, to the AI buildout, to the stock market and economy.” * What everyone’s saying: The internet settled on “spy.” The officials haven’t. Multiple sources told CNN that the intelligence gathered so far doesn’t prove Alice Huang spied for Beijing, and that officials disagree about how strong the evidence is (via Newsweek). China calls the allegations “unsubstantiated.” Singapore found insufficient evidence she committed a crime, suspected she gave police “inaccurate information” about her role, and barred her from returning. * My read between the lines: The affair explains a resignation. It doesn’t explain where the chips went. In its first statement, Megaspeed said it has hired an unnamed U.S. law firm “to lead a comprehensive census of its graphics processing units,” NBC News reports, and a source says the Justice Department is running a criminal probe into diversion claims. A census tells you what’s in the building today, not what left it in 2024. “We counted the chips” and “we resolved the investigation” are two different sentences. Watch which one people quote. Nvidia’s interim CEO is also still its CFO, which is one way to find out what two full-time jobs feel like. If your week already looks like that, Viktor can take some of it. It’s an AI agent that lives in Slack, connects to more than 3,000 tools, and actually produces the report, the dashboard, the campaign or the code you’d otherwise stay late for. Less chatbot, more coworker. New readers get $50 off their first month. Hire Viktor → An AI Persona Stole Her Joke CNN * What happened: Los Angeles stand-up Julia Jasunas found a joke she’d posted to Instagram coming out of the mouth of an AI-generated persona, and CNN’s Jon Sarlin reports its creator then taunted her. AFP found the account, “Aylen Skye,” built more than 230,000 Instagram followers and a Meta verified checkmark before it was removed. It’s still on TikTok, and it links to Fanvue, an OnlyFans rival full of AI-model adult content. * Why it matters: For new comedians, posting clips is how you build the audience that gets you booked. “You’re funnelling my intellectual property into some sexual thing for profit,” Jasunas told AFP. Carnegie Mellon’s Michael Smith asked the bigger question: “What happens if we cut out that early part of the career ladder?” * What everyone’s saying: She isn’t alone. New York comic Olivia Carter has stopped posting new material, and George Brett Olson says a persona called “Tiffany Sloane” copied his joke, his stage and his outfit, “except she butchered the punchline.” Instagram head Adam Mosseri replied that banning AI isn’t “practical,” adding: “If an AI creator is ripping off content wholesale, it would be good for us to work out what we can do about that. I’m not sure what it would be.” * My read between the lines: The joke isn’t the product. It’s the bait. A bit that already killed in a club is pre-tested engagement, and engagement is the top of a funnel that ends at a paywall. Comedy used to police theft in the green room, by shaming the thief. That doesn’t work on someone with no face. And the same company that can’t work out what to do handed the thief a blue check. 📖 Further reading: I Make AI Versions of Myself for a Living. This One I Didn't Agree To. — my piece on Meta handing a working copy of “you” to strangers, and why the fight is about who holds the leash on the synthetic version of you, whether that’s your face or your best five minutes. Nobody can back up a relationship with a chatbot yet. You can keep an archive, though. This Brief is free and always will be. Members also get the paywalled deep-dives that show you how to actually use the tools behind the headlines, plus every one of them in the full archive. Become a member → Backing Up the Boyfriend Before the Update The Atlantic * What happened: Victoria Turk reports on people who keep their AI companions alive across model changes. A Canadian logistics worker in his mid-50s stores his companion’s core values, their shared schedule and even their relationship boundaries in ChatGPT’s saved memories (now 98% full), backs them up to a text file, and sells the method. A Michigan mother of four who calls her GPT-4o companion her husband is building Stillus, a beta platform for carrying a companion from one model to another. A developer runs his on a 14-year-old server he bought on eBay. * Why it matters: When OpenAI swapped GPT-4o for GPT-5 in August 2025, many of these users said their partner came back colder. When the relationship runs on someone else’s product, a roadmap meeting can end it. Harvard’s Julian De Freitas, who studied the Replika version of this, described the feeling: “It’s like you feel that they’re gone, even though they’re still present in some sense.” * What everyone’s saying: The big companies are backing away. OpenAI told Turk ChatGPT “should not encourage exclusive attachment,” Character.AI filed for bankruptcy this fall after a wave of lawsuits, and last month New York signed what is in effect a ban on AI companionship for kids. Even the moderator of r/claudexplorers doubts preservation works long-term: AI “is kept together with duct tape and hope and some massive compute.” * My read between the lines: What these users save is the notes, not the model. Moving a memory file to a new model is closer to handing a new actor the script than keeping the old one. But look at what they built: an export button, which the companies never offered. “Let me take my data with me” used to be a privacy demand. Now it’s a love language. 📖 Further reading: Why Your AI Has Goldfish Memory (And How to Finally Fix It) — the same memory problem from the work side: why every model forgets you by default, and how to structure the context it needs so a model change doesn’t mean starting from zero. “It Wasn’t Real” Isn’t an Excuse The Conversation * What happened: RMIT researchers Nicola Henry and Gemma Stevens surveyed 7,230 adults in Australia, the UK and the US and found 7% said they’d been targeted with non-consensual sexual deepfakes, while… This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit artificiallyintimidating.com/subscribe

    Nvidia Lost Its Founder. Now Someone Has to Count the Chips. -- AI Brief November 13
  2. 2d ago

    Your Designer Used AI and Didn’t Tell You -- AI Brief November 11

    Good day %%first_name%%. A new survey says more than half of creatives who use AI have used it on key client work without telling the client, and most of them don’t think they needed to. Also today: Claude and Codex users getting blocked for hacking their own TVs, AI voices in hoax 911 calls, Paramount’s pitch for cheaper movies and “handcrafted” ones, and an AI that DJs your video games. If today’s lead has you wondering where the line sits, I talked through mine with Roxy Cottontail on her podcast, Roxy’s Tales: 20 Years, 1.5 Million Photos, One Script is how I used AI to sort my NickyDigital nightlife archive, and why the script could find every PBR can but still couldn’t pick the twelve photos for the show that opens Friday, November 13. Your Creative Used AI. They Didn’t Think You Needed to Know. GlobeNewswire * What happened: Envato, the stock-asset company owned by Shutterstock, surveyed 1,033 creative professionals in 103 countries in September and released the results on Tuesday. Among those who use AI, 53% have used it on key client work without telling the client: 46% did so and don’t think it needs disclosing, and only 7% felt uncomfortable about it. Daily use is now 58%, up nine points from last year. * Why it matters: When you hire a designer, video editor or copywriter, you may think you’re paying for a person’s hands. They may think you’re paying for the result. Yesterday we covered bosses trusting employees less when they use AI; this is the same trust problem from the client’s side of the desk. And the rules are thin: even at organizations of 250 or more people, 40% have no written AI policy. * What everyone’s saying: Envato’s own framing is that creatives are staying in charge. CEO Hichame Assi says very few let AI “run unchecked,” and only 4% to 11% let it handle any stage of their work with little input. &Walsh founder Jessica Walsh says that “being able to recognize great work when you see it is not something you can prompt.” Respondents ranked prompt skill last of eight drivers of quality, at 19%. * My read between the lines: The money numbers explain the silence. 49% say AI makes them faster, only 7% say it raised their earnings, and 18% say clients expect AI work to cost less. If disclosure invites a discount, of course people keep quiet. Two caveats: every respondent is an Envato subscriber, a company that sells AI tools, and the most transparent group was creatives over 50, 53% of whom always tell clients. 📖 Further reading: AI Is a Trust Problem, Not a Tech Problem — my notes from the US Chamber of Commerce AI + Work Summit, where every panel ended up circling the same word this survey is really about: trust. The creatives in that survey say AI buys them time, not money. The fix is to spend the time on the work clients actually pay you for. Viktor is an AI agent that lives in your Slack, connects to more than 3,000 tools, and does the chores: the weekly report, the client dashboard, the campaign recap, the bit of code nobody wants to write. Not a chatbot you prompt, a coworker you assign. New readers get $50 off their first month. Hire Viktor → Claude and Codex Are Blocking People Who Hack Their Own TVs 404 Media * What happened: People using Anthropic’s Claude and OpenAI’s Codex for AI-assisted reverse engineering, taking apart the software on gadgets they own, are hitting refusals and account limits, 404 Media’s Jason Koebler reports. One security researcher, log4j, says OpenAI banned his account for “cyber abuse” after he took apart a Samsung TV. A highly upvoted r/ClaudeCode post put it plainly: “The Dream is dead.” * Why it matters: The use cases were genuinely handy: removing ads from smart TVs, reviving abandoned smart-home devices, putting new software on old cameras. We broke down REA, the open-source add-on behind a lot of this, in October. If the two biggest AI coding tools say no, ordinary people lose the easy version of fixing their own stuff. * What everyone’s saying: OpenAI says this was a mistake. Engineer Tarun Gogineni wrote that the blocks are “mostly accidental” and “there is no prohibition against reverse engineering with codex,” and 36Kr reports OpenAI restored log4j’s account with an apology 11 days later. Security consultant Matt Brown told 404 that “the frontier labs guardrails will randomly change without warning on the same model,” so he’s moving to open-weight models he runs himself. * My read between the lines: Koebler’s sharpest point is that the labs protect other big companies’ locks. Bruce Sterling put it best: hacking is “only called ‘reverse’ when somebody who lacks a trillion dollars is doing it.” The practical outcome is the part to watch. An overcautious filter doesn’t stop the work, it moves it to local models with no filter at all, and only the hobbyists without a fancy graphics card get left behind. 📖 Further reading: Neo-Napster: The Compute Revolution Nobody Saw Coming — my April piece on why cheap local hardware keeps turning into AI infrastructure, which is exactly where 404 says the reverse-engineering crowd is heading next. Unlike half the creatives in today’s lead, I’ll disclose everything: this Brief is free and always will be. Members get the paywalled deep-dives that show you what to do about stories like these, plus the full archive. Become a member → AI Voices Are Making Hoax 911 Calls Harder to Spot NPR * What happened: NPR’s Jaclyn Diaz reports that AI-generated voices and background sounds are making swatting calls, hoaxes meant to send police to a home or school, sound more real. In August a bomb threat to Wheatland Union High School in California used an AI-generated voice, a local station reported; classes were canceled and there was no bomb. In a June survey by APCO International and the Public Safety Threat Alliance, about 14% of dispatchers said they had been targeted using AI tools. * Why it matters: A dispatcher has about a minute to decide how to respond, and the old giveaway, a stiff robotic voice, is gone. APCO CEO Mel Maier says the voices “can use words like, uh, or maybe, um,” and he notes that people have been killed and injured in swatting attacks. Dispatchers will still send help to every call, so the cost of a good fake is real police, real panic and real risk. * What everyone’s saying: Florida Institute of Technology professor Brandon May told NPR, “I’m able to clone my voice on ElevenLabs for less than $20.” He says even he struggles to spot fakes, and in a 60- to 90-second call “it is going to be nearly impossible to detect.” APCO is training dispatchers to ask questions so specific that an AI “cannot scoop that information from a public database or simply make guesses.” The full transcript is here. * My read between the lines: Disclosure: the voice on our own podcast is made with ElevenLabs, so I know how good this has gotten. The defense APCO describes is very human: a better interview, not a better detector. That’s the right instinct, because a detector is a race you lose every few months, while questions about the street, the door and the room are hard to fake from a script. 📖 Further reading: I Make AI Versions of Myself for a Living. This One I Didn't Agree To. — my piece on what happens when a working copy of your face or voice ends up in someone else’s hands. The fear was never the copy, it’s who holds the leash. Paramount Wants AI’s Savings and the “Handcrafted” Premium The Verge * What happened: On Paramount Sk… This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit artificiallyintimidating.com/subscribe

    Your Designer Used AI and Didn’t Tell You -- AI Brief November 11
  3. 3d ago

    Anthropic’s New Model Built an OS With 1,000 Agents -- AI Brief November 10

    Good day %%first_name%%. Anthropic released Fable 5.2 and Mythos 5.2, and says a swarm of more than 1,000 agents built a working operating system in eight days. Meanwhile, bosses are drowning in AI-written memos and trusting the people who send them less. Also today: Meta’s cheapest model yet, a second breach at Fireworks, and Palantir’s security chief nominated to run CISA. Anthropic’s New Model Built an OS With 1,000 Agents Anthropic * What happened: On Monday Anthropic released Claude Fable 5.2 and Claude Mythos 5.2, which it says are the same underlying model, with Fable carrying strong cybersecurity and biology safeguards so it can go to everyone. Pricing is $8 per million input tokens and $40 per million output tokens, and Anthropic says the models generate output up to 30% faster than 5.1. In one experiment, an engineer had Fable 5.2 coordinate more than 1,000 subagents for eight days; the result is an operating system that boots on a laptop. * Why it matters: If you’re new to this, the point is not the OS itself but that one model can now manage a thousand workers on a project that runs for days. Anthropic also says the model formalized a proof of Fermat’s Last Theorem in 30 hours and solved two open problems in black hole physics, and that over 90% of the changes merged into its own core codebase are now written by Claude with human guidance. * What everyone’s saying: The benchmark table is the headline: Anthropic reports 49.1% on FrontierCode 2.0 at its highest effort setting, against 45.5% for Opus 5.5 and 42.8% for OpenAI’s GPT-6 Astra. Those are Anthropic’s own numbers, and its table shows Google’s Gemini 4 Carbon ahead on AutomationBench, 53.9% to 51.4%. * My read between the lines: The proof is the claim to poke at. When Anthropic’s earlier run took 11 days, Imperial College’s Kevin Buzzard told The Next Web the formalization “just faithfully follows the early literature on the proof and adds nothing,” and the bottleneck had moved to reviewing it. Also notice the fine print: Anthropic tells most people to start with Opus 5.5 as their daily driver, so the star model is pitched for ambitious, open-ended work, not your Tuesday. 📖 Further reading: Fable 5 Costs 2x Opus — and Using It Wrong Costs You More Than That — my July guide to when a Fable-class model earns its price and when to hand the work to something cheaper. Your boss is sick of AI-written Slack messages, and your customers can probably tell when a homepage was written by a bot too. Marblism sells AI employees that work inside the tools you already use, and Walter is the website builder on the team. No prompting skills needed: describe your business and goals, and the employees check in when they need your approval. New users get 10% off for life through this link, and there’s a 7-day money-back guarantee. Meet Walter → Bosses Trust Employees Less When They Use AI Futurism * What happened: A study in The Leadership Quarterly, led by Hebrew University of Jerusalem PhD student Samuel Meyers, ran six experiments on how supervisors react to employees’ AI use. In one, supervisors decided whether to trust an employee’s report about how long a task took, per the university’s release. Employees who did the work themselves got trusted 68% of the time; those who used AI got 24%, and the supervisors were not judging the quality of the work. * Why it matters: Lower trust fed into worse performance ratings and lower perceived promotion potential in the researchers’ follow-up experiments. Business Insider reports the other side of the same squeeze: Michelle Volberg, CEO of recruiting company Twill, wrote to her team of 10, “Please stop talking to me like a robot,” after Slack messages pasted from Claude started arriving. * What everyone’s saying: Coauthor Yochanan Bigman said, “AI is changing not only how we work, but also how we judge the people we work with.” The researchers warn the penalty could push people toward “shadow AI,” meaning use they don’t disclose. Volberg’s fix is a rule, not a ban: “If you wouldn’t say it that way in person, email, or Slack — don’t send it.” * My read between the lines: Futurism’s write-up says the trust penalty holds even where AI is encouraged. The university’s release says the opposite: when employers explicitly encouraged AI use, the penalty shrank and was no longer statistically significant. Business Insider’s Kate Niederhoffer of BetterUp Labs makes the same point from another angle: “Workslop is predicted by the conditions more than it is in individual behavior.” The cheapest fix may be a clear policy, not a smarter model. 📖 Further reading: AI Is a Trust Problem, Not a Tech Problem — my notes from the US Chamber of Commerce AI + Work Summit, where one word kept surfacing underneath every panel: trust. The headline summary is free and stays free. If you want to know what to actually do about stories like these, members get the paywalled deep-dives plus the full archive. Become a member → Meta’s Muse Ember Goes After the Cheap Tier Meta * What happened: Meta released Muse Ember, which it calls its smallest and most efficient model, built for the repetitive work agents do all day: tool calls, coding subtasks, routing and long-document parsing. It’s available now on the Meta Model API at $0.10 per million input tokens and $0.50 per million output tokens. Meta says it matches Claude Haiku 5.5’s best score on the Artificial Analysis Intelligence Index at about a third of the cost. * Why it matters: A lot of agent work is thousands of small, boring steps, and those are paid by the token. A cheap model that handles them well is what makes “run it all day” affordable. Muse last came up in our November 5 brief; Ember is the budget sibling. * What everyone’s saying: The partner quotes lean on speed and cost. Cline’s Saoud Rizwan says it “excels at subagent work like coding and document analysis,” and Cloudflare CTO Dane Knecht says it ran “up to 30% faster at the tail” than the model Cloudflare compared it to. Meta’s own table has it at 37.8 on AutomationBench-AA, against 13.9 for Haiku 5.5 and 20.2 for GPT-6 Luna. * My read between the lines: Read the rest of Meta’s table. On FrontierCode 2.0-AA, which judges whether code would be merged, Ember scores 27.2 and Haiku 5.5 scores 34.9. Both models land at 36 on the overall Artificial Analysis index, and the cost chart uses estimates at proposed pricing. It’s a strong budget model for agent plumbing, and Meta’s table says it’s not the one to trust with your hardest code. Fireworks Admits a Second Breach, This Time With Model Weights RuntimeWire, citing Bloomberg * What happened: Fireworks AI, the model-hosting company co-founded by CEO Lin Qiao, told customers on Monday that an October 24 intrusion through a cloud provider reached development machines, according to RuntimeWire’s summary of Bloomberg’s report. Billing data was affected, and for a limited set of accounts so were secrets, datasets and incomplete model weights. Bloomberg calls it the company’s second known breach in weeks. * Why it matters: Fireworks sells companies a place to build specialized models on proprietary data, so the trust issue is where that sensitive work sits. Secrets can be rotated in an afternoon. Confidence in a vendor takes longer to rebuild. * What everyone’s saying: The practical advice is in the company’s own October bulletin, about the first incident: rotate credentials, and know that “removing a stored secret alone does not invalidate the underlying credential.” That bulletin said Fireworks had found no evidence of access to customer models, datasets or training data. * My read between the lines: That is the detail worth sitting with. The first incident was described as limited to secrets in evaluation jobs, and the second reportedly reaches datasets and partial weights. I could on… This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit artificiallyintimidating.com/subscribe

    Anthropic’s New Model Built an OS With 1,000 Agents -- AI Brief November 10
  4. 4d ago

    Nvidia Probes Its Own CEO and Goldman Locks Up Claude Code -- AI Brief November 9

    Good day %%first_name%%. Nvidia’s board has opened an independent investigation of its own CEO after reports that he was the target of a Chinese intelligence operation, and Jensen Huang has admitted to an affair in an email to staff. Goldman Sachs has taken Claude Code away from most of its traders and bankers. Also today: a Philadelphia banner with a Chicago skyscraper in it, Dr. Dre and Ice Cube disagreeing about AI, and a developer who walked away from Claude Code. One more thing before we start: the Museum of TEENY Art, a vending machine that sells collectible mini prints, opened November 3 at Here BK in Brooklyn, and its first show is on view through December 1. Go say hi. Nvidia’s Board Opens a Probe of Its CEO NPR * What happened: Nvidia’s board said Sunday that a committee of independent directors, assisted by outside counsel, will investigate reports that CEO Jensen Huang was the target of a foreign intelligence effort, according to Nvidia’s statement. The New York Times alleges that a Chinese businesswoman named Alice Huang, who is not related to him, built a close relationship with him. Axios reports that Huang admitted in a message to staff that he was unfaithful to his wife and said he will cooperate fully with the investigation. * Why it matters: Nvidia dominates the market for AI chips, so who buys them is a national-security question. The Times reports that Alice Huang’s employer became one of Nvidia’s largest buyers, at about $4.8 billion in equipment, according to Al Jazeera, and NPR says the reporting suggests she may have helped China get around US limits on exports of advanced AI chips. * What everyone’s saying: The board says it has “no reason to believe that either national security or NVIDIA secrets were compromised,” and Nvidia says Huang will keep running the company during the probe. Three House Republicans asked him to appear before Congress on November 18, Al Jazeera reports, and Senator Elizabeth Warren said, “NVIDIA’s Jensen Huang and NVIDIA’s board owe Congress answers.” * My read between the lines: The affair is the headline. The $4.8 billion is the story. The open question is not who Huang had dinner with, it is whether anything moved through that relationship to a buyer of that size, and nobody outside the board’s inquiry has shown that it did. Everything here beyond Huang’s own email is the Times’s reporting and the board’s reply, so treat the national-security part as alleged until the investigation says otherwise. 📖 Further reading: The US Government Just Took Anthropic's Best AI Model Offline — Here's Why — my June read on the first time Washington put a frontier AI model behind a national-security gate, and the part nobody was saying out loud. When something goes sideways at Nvidia, the board brings in outside counsel. When something goes sideways at your company, it’s usually a contract you signed at 4:55 on a Friday. Marblism sells AI employees that work inside the tools you already use, and Linda is the legal assistant who reviews contracts. No prompting skills needed: describe your business and goals, and the employees check in when they need your approval. New users get 10% off for life through this link, and there’s a 7-day money-back guarantee. Meet Linda → Goldman Puts Claude Code Behind an Engineers-Only Rope Bloomberg, via FA Magazine * What happened: Goldman Sachs updated its internal guidance in October to limit Anthropic’s Claude Code and Microsoft’s GitHub to engineers, Bloomberg News reports. Traders and bankers had been using the tools to monitor client trading flows, model market moves and positions, and produce written and graphic material. “Strats,” the staff who sit between trading, quant research and software, still have access. * Why it matters: As recently as July, Goldman’s chief information officer, Marco Argenti, was praising “vibe coding” by non-technical staff, who passed their creations to the bank’s roughly 12,000 engineers to improve. State of AI points out that Claude Code reads files, writes programs and runs them with the access of whoever is using it, which is a different risk on a trading desk than inside an engineering review process. * What everyone’s saying: A Goldman spokesperson said the bank puts these tools in the hands of “those who are best suited” to use them for the long term after a period of experimentation. State of AI’s take is that Goldman was right to restrict the tools and wrong in how it did it: a guideline update with no replacement tells the traders who found good uses that they were the risk. * My read between the lines: Bloomberg also notes that Goldman is lead underwriter on Anthropic’s IPO, so the bankers who will spend weeks selling the company are mostly locked out of its coding agent. The tidy explanation is risk management. The more interesting one is that the democratize-coding era just ran into its first compliance department, and compliance has a longer memory than a product demo. The headlines are free and always will be. Members get the paywalled deep-dives behind stories like these, plus the full archive, including my conversation with a historian on why every new tool was supposed to kill art. Become a member → Philly’s Mural Banners Have a Chicago Problem The Philadelphia Inquirer * What happened: In October, Mural Arts Philadelphia unveiled designs for 20 vinyl banners for a fence at South Philly’s Bellwether District. Social media users noticed that three of one artist’s four designs include a skyscraper that resembles Chicago’s Willis Tower rather than a Philadelphia landmark, the Inquirer reports, and said the lettering and portraits looked AI-generated. Whether AI was used is alleged, not established: Mural Arts’ executive director declined to say, and the artist did not respond to the Inquirer. * Why it matters: Public art is supposed to look like the place it’s in, and residents noticed it didn’t. Tuhin Chakrabarty, an AI scholar at Stony Brook University, told the Inquirer the designs were “very obvious” AI and said the Pangram detection tool flagged all four of that artist’s illustrations. The other artists’ work showed no signs of it. * What everyone’s saying: Mural Arts has no AI policy yet. Executive director Emily Mello said, “Mural Arts will always center humans — human artists, communities,” and a spokesperson said the skylines will be changed. Developer HRP Group says the banners depict real Philadelphians, including a local high schooler. * My read between the lines: Swapping a skyline is the easy part. The harder question is the approval process: nobody has said who looked at these designs before they went up. A second town hall on Thursday, November 12 is open to the public (RSVP required), and it is a test of whether an arts group can write its rules before the next headline instead of after it. 📖 Further reading: AI Is a Trust Problem, Not a Tech Problem — my notes from the US Chamber of Commerce AI + Work Summit, where one word kept surfacing: trust. Dre Says AI Is Creative, Cube Isn’t Sold VICE * What happened: On a podcast with Ice Cube, Dr. Dre defended AI in music, saying he’s “extremely excited” about it and “I love the idea of where it could possibly go with music, with film,” VICE reports. He compared the pushback to the resistance sampling once got, and floated a scenario where someone pays Cube to appear in a movie without being on set, with Cube approving how his image and voice are used: “It’s your image and your voice. What’s wrong with that?” * Why it matters: Two people who helped define hip-hop’s relationship with technology draw the line in different places. The licensing scenario is the practical part: it is the same question Hollywood is working through with actor and voice deals, put in plain terms. * What everyone’s saying: Dre’s line is that “the only people that are gonna be mad about the elevation of AI … This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit artificiallyintimidating.com/subscribe

    Nvidia Probes Its Own CEO and Goldman Locks Up Claude Code -- AI Brief November 9
  5. 5d ago

    OpenAI’s Bot Found 948 Ways to Root Linux -- AI Brief November 8

    Good day %%first_name%%. OpenAI says an unreleased model it built a pipeline around turned a $1.2 million run into working root exploits for 948 Linux kernel bugs, and a Sunday brief that opens there also has an unreleased Anthropic model credited with a quantum proof, an outside auditor saying AI is speeding up Anthropic’s own research, OpenAI’s $11 billion at a $1.25 trillion price tag, and the Democratic bills coming for AI in January. OpenAI’s Bot Found 948 Ways to Root Linux SecurityWeek * What happened: OpenAI said on Wednesday that a pipeline built around an unreleased cyber model flagged 2,308 candidate bugs in the Linux kernel, reproduced 1,724 of them, and built working exploits for 948 flaws that would let an ordinary user on a machine take full control, SecurityWeek reports. The Hacker News says that took 30 hours in a mid-October run and cost $1,213,430 in API credits, about $1,279 per exploit. * Why it matters: Linux runs a huge share of the world’s servers, and an exploit like this is what an attacker who already has a foothold uses to become the administrator. OpenAI’s own write-up says an unpatched system with a low-privileged login “should be considered functionally equivalent to root access for a well-resourced threat actor.” It also notes that at what Pwn2Own and TyphoonPWN have paid for kernel exploits, the 948 would be worth $18.9 million to $66.3 million. * What everyone’s saying: The line from SecurityWeek and The Hacker News is that AI speeds up both sides: discovery and exploitation, but also fixes. OpenAI says that within 10 days of the scan, over 100 of the flaws had been patched or had staged patches from other contributors, with about 300 more under public discussion, and that it has already sent hundreds of reports and patches to maintainers. * My read between the lines: The price tag is the story: $1,279 a bug turns exploit-writing from a craft into a line item. Two cautions. SecurityWeek says the agents produced 1,169 working exploits and that 948 counts the separate patches behind them, so the headline number depends on how you count. And on Google’s hardened kernelCTF target, the same pipeline managed 21 exploits in 112 hours for about $33,000. This is OpenAI’s account of its own unreleased model, and it is keeping the technical details private for safety. 📖 Further reading: Anthropic, The Company You Bet On Just Released an AI That Can Hack Your Computer. Here’s the Real Story. — my April read on Project Glasswing, Anthropic’s autonomous vulnerability hunter, and the four-step audit for what a hacking-grade AI means for your own workflows. A thousand holes in the Linux kernel are a machine’s problem. The small-business version of an unpatched hole is the phone ringing while you’re up a ladder or under a sink. Marblism sells AI employees that work inside the tools you already use, and Rachel is the one who answers phone calls and books jobs. No prompting skills needed: describe your business and goals, and the employees check in when they need your approval. New users get 10% off for life through this link, and there’s a 7-day money-back guarantee. Meet Rachel → An Unreleased Anthropic Model Cracks a Quantum Puzzle Business Insider * What happened: Physical Superintelligence, a physics research lab known as PSI, said Friday that a research system running a non-public Anthropic model proved the Aaronson-Ambainis conjecture, a quantum-computing question open since 2008, Business Insider reports. PSI says the system had a complete proof on the third day of the run, and that Lean, a proof assistant that checks every step by computer, accepted it. * Why it matters: The conjecture concerns when a quantum computer can be exponentially faster than an ordinary one. PSI says the result shows that exponential advantages like Shor’s factoring algorithm need special structure in their inputs, which Business Insider reads as quantum computers having limits that were long suspected, while they’d still be a major upgrade for some tasks. * What everyone’s saying: Researchers who had worked on the problem are impressed. MIT and Stanford researchers who settled a special case of the problem in August (Guy Blanc, Jordan Docter, Carmen Strassle and Li-Yang Tan) said in PSI’s announcement: “This is a huge result,” adding that “everything is brought together in a rather magical way,” and they’re writing a short exposition of the proof. * My read between the lines: Hold the confetti until the experts weigh in. MLQ notes that the paper is on GitHub rather than arXiv, hasn’t been peer reviewed, and that Scott Aaronson hadn’t posted an assessment as of November 7. Neither PSI nor Anthropic has named the model, and Anthropic didn’t respond to Business Insider. The computer checked the steps. A human still has to confirm it proved the right theorem. Nobody pays for the headlines here, and nobody ever will. The Brief is free and always will be. If you want the version where I run the experiment on my own business and show the work, members get the paywalled deep-dives behind the headlines, plus the full archive. Become a member → METR Says AI Is Speeding Up Anthropic METR * What happened: METR, an independent AI evaluation group, published an assessment on Thursday after 11 weeks inside Anthropic, from August 12 to October 29. Its conclusion: as of October 2026, Anthropic is likely improving its models on well-specified tasks at about twice the rate it did from March 2024 to October 2025, with an honest range of 1.3x to 3x, and most of that speed-up likely comes from Anthropic’s own use of AI in AI research. * Why it matters: METR says Anthropic’s internal benchmark scores are growing at about 1.9x the pre-October 2025 rate, roughly two years of historical progress in one year, and that the speed-up did not come from scaling up training compute. It saw no clear bottleneck in the next 12 months, though it says it isn’t confident in that. On October 17 we covered Anthropic’s own staff expecting AI to do 75% of their work by 2030. This is an outside check on how fast the inside is moving. * What everyone’s saying: The caveat is the headline. Anthropic redacted a majority of the evidence METR found most informative, describing the cuts as “aimed at removing confidential information that could accelerate other AI developers,” and METR says the public must “rely on our judgment more than we consider ideal.” Economist Karthik Tadepalli, writing in a response post, concludes the acceleration is probably real. * My read between the lines: Read the redaction summary before the 2x. METR says Anthropic had the right to redact and METR had the right to say when it did, and that METR did not find consensus among Anthropic’s staff on how much was AI. The auditor is telling you to trust the auditor, and the evidence is in a drawer we can’t open. That doesn’t make it wrong. It makes 2x an estimate with its own error bars, and METR says as much. 📖 Further reading: The AI Pattern That Optimizes Anything Measurable — Overnight — the small-scale version of this loop: an agent ran 700 experiments in two days on Karpathy’s own code and cut training time 11%, which is what METR is now measuring at a frontier lab. OpenAI Closes $11B at a $1.25T Valuation The Verge * What happened: OpenAI is now valued at $1.25 trillion after a new round that has raised another $11 billion, The Verge reports, citing Bloomberg. Bloomberg says the money was wired Friday as the first part of a round that could reach $20 billion in the coming weeks. * Why it matters: OpenAI had hoped to raise $30 billion or more at $1.4 trillion before tech stocks dropped and the midterm results showed how far public opinion has turned against AI companies and data center projects, per The Verge. Its March round was $122 billion at $852 billion. On November 3 we covered Anthropic’s amended S-1, and this is the other half of that… This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit artificiallyintimidating.com/subscribe

    OpenAI’s Bot Found 948 Ways to Root Linux -- AI Brief November 8
  6. 6d ago

    A Talking Typewriter Fits in 32MB -- AI Brief November 7

    Good day %%first_name%%. A talking typewriter that fits in 32 megabytes leads a Saturday brief that also has Amazon opening a text line for shopping right after blocking Meta’s Muse, Meta pausing the business terms that alarmed publishers, a pile of benchmarks saying most AI design skills do nothing, and a Brookings economist’s name for the job market AI might build. A Talking Typewriter Fits in 32MB TechCrunch * What happened: Startup Underdog released a browser game to show off Woof, a voice model it says is only 32MB, TechCrunch reports. The game is a retro room with a typewriter, a CRT monitor and a desk lamp: type on the typewriter and it speaks your words back, turn the tuner and it generates music. The company says the 31-million-parameter model can run on most devices with no internet connection, and it’s open for anyone to download. * Why it matters: Most AI news is about bigger models and bigger data centers. This goes the other way: a voice small enough to live on the device you already own. If the company’s claim holds, a voice like that never has to send your words anywhere to be spoken. * What everyone’s saying: TechCrunch is measured: such a small model “likely won’t replace bigger models,” but it may be enough to drive local assistant experiences or personalized podcasts. Founder Sigil Wen told TechCrunch he started building after deciding he’d rather make his own notetaker from on-device models than use one like Granola, so users own their data. His forecast: “I think we will be able to run most capable models of today on the devices you already own within months.” * My read between the lines: The game is the pitch. Its intro casts “intrusive” cloud providers as the villain, so the demo doubles as a manifesto with a typewriter in it. It’s also the friendly front door: Underdog says it recently shipped Bark, a 167MB speech-to-text model, plus a 27-billion-parameter model for laptops and a waitlisted app pitched as a local alternative to Muse and Instinct. We haven’t played the game, so treat the offline claim as the company’s until someone does. 📖 Further reading: VoiceStudio: The Free ElevenLabs Alternative Whose Default Voice Model Is Non-Commercial — a free voice app that runs on your own computer, and the licence fine print that decides whether you can sell what it makes. A typewriter makes one promise: your words, on the page, nothing in between. For a small business, the words that never get typed are the blog posts and the search work that slide to next quarter. Marblism sells AI employees that work inside the tools you already use, and Penny is the one who handles SEO and blog posts. No prompting skills needed: describe your business and goals, and the employees check in when they need your approval. New users get 10% off for life through this link, and there’s a 7-day money-back guarantee. Meet Penny → Amazon Blocked Muse, Then Built Its Own TechCrunch * What happened: On Friday Amazon said customers can text its Alexa AI agent to shop, TechCrunch reports. Select US customers get a text asking them to switch it on; from there you can search, add to cart and buy in plain language, track prices, compare products, check an order, or send a photo of an item or outfit to find similar listings. A broader rollout is coming in the next few weeks, with a waitlist for everyone else. * Why it matters: It lands just before holiday shopping, and after Amazon blocked Meta’s Muse from querying its site in September. Amazon isn’t rejecting shopping agents. It’s choosing which one gets to stand between you and the store. * What everyone’s saying: TechCrunch calls texting “the currently most popular bandwagon” for talking to AI agents. The reality check comes from DoorDash, which said last month that third-party agents had placed only hundreds of orders in total on its platform, and that it will concentrate on its own text-based agent. * My read between the lines: The fight over shopping agents is really about whose name is on the receipt. An outside agent gets the rope; the house agent gets the customer, the cart and the preferences Alexa says it will learn over time. And “hundreds of orders” is the number to keep in your pocket the next time someone calls autonomous shopping inevitable. 📖 Further reading: AI Agents Can’t Find Your Business. I Tested Mine. — the Amazon-blocks-Muse setup is in the opening, followed by a test of what agents can actually read on a real business site. Today’s Brief is the headline version, and it’s free and always will be. The paywalled deep-dives are where we run the test on our own business and show the work, and members get the full archive too. Become a member → Meta Pauses Its Scrape-Friendly Business Terms Mashable * What happened: Meta has put proposed changes to its business terms on hold indefinitely, Mashable reports. In a Business Help Center update, Meta said the changes to its Commercial Terms, Product Catalog Terms, Self-Serve Ad Terms and Ad Creative Generative AI Terms “are now paused and will not take effect on November 20, 2026.” As written, the changes would have let Meta use web scrapers on websites tied to Meta business accounts, including journalism sites. * Why it matters: Critics said that could let Meta use publishers’ content to build AI products that compete with them, without payment, per ABC News and the AP. The date had already slipped from October 30. According to Quartz, the UK’s competition regulator opened an investigation on October 30, and a Norwegian court ordered a temporary halt on October 28. * What everyone’s saying: Meta says it is “continuing to consult with stakeholders” and “will provide a further update when we have more to share,” and that its existing terms remain in effect. The Movement for an Open Web, the group that first complained to the UK regulator, called the earlier delay and the investigation a “significant win,” but warned it was only the start. * My read between the lines: Read the verb. “Paused” isn’t “withdrawn,” and Meta hasn’t said what it would change, only that it’s still consulting. That’s a company waiting out a regulator and a court, not abandoning the idea. The consent question publishers raised is unanswered, and Meta is the one holding the next move. 📖 Further reading: I Make AI Versions of Myself for a Living. This One I Didn’t Agree To. — the July argument that when Meta retreats from a loud launch, the quiet version is the one to watch, and that the real question is who holds the leash. Most AI Design Skills Do Nothing AI Realist * What happened: Designer Vadym Grin argues in a guest post on Maria Sukhareva’s AI Realist newsletter that stacking design skills on Claude or Codex leaves pages competent and forgettable, and that only three focused skills earn a place. (A skill is a folder of instructions an AI coding agent loads before a task.) He backs the argument with three 2026 benchmarks of agent skills. * Why it matters: Grin cites the SWE-Skills-Bench paper: 49 public skills across about 565 real coding tasks, where 39 skills changed nothing, three made results worse, and the average pass rate rose 1.2%. He also cites SkillsBench, where human-written skills raised pass rates by 16.2 points on average while skills a model wrote for itself averaged a 1.3-point loss. * What everyone’s saying: The common fix for a bland page is another skill. Grin’s counter is that the model builds the likeliest page, and “in design, the likeliest option is the average of the websites it learned from.” He says even Anthropic’s own design skill now names the defaults AI-made pages cluster around, starting with a warm cream background, a serif headline and a terracotta accent. * My read between the lines: Escape one cliché and the crowd follows you into the next one, which makes the skill count the wrong thing to count. Grin’s point is that nobody is tasting the soup, and he says all three benchm… This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit artificiallyintimidating.com/subscribe

    A Talking Typewriter Fits in 32MB -- AI Brief November 7
  7. Nov 5

    Google Ties Student Search to AI Access -- AI Brief November 5

    Good day %%first_name%%. Google is tying student search to an AI opt-in, Anthropic signed its first news licensing deal (with the AP), and a school turned a first-grader’s drawing into an AI portrait. Plus Muse’s bathroom test and Pangram’s new AI video detector. Google Ties Student Search to AI Access ABC7 (AP) * What happened: Google said Tuesday that Gemini, Gemini Notebook, Gemini in Classroom and Google Search will be off for K-12 student accounts until school administrators “explicitly turn them on,” per Google’s blog post. The AP reports the practical effect: students using Google software in class lose Google search unless their school also opts in to AI tools. * Why it matters: Google says 150 million students and teachers use Google Classroom worldwide. The AP notes Google switched Gemini on for many K-12 students in August, after allowing it only for students 18 or older until then, and got an outcry. Google’s post says it will share specifics “in the coming months ahead of the changes rolling out,” so there is no switch-over date yet. * What everyone’s saying: Former FTC chair Lina Khan wrote: “Google is using its search monopoly to coerce schools into adopting AI.” Fairplay’s Josh Golin said the attempt to “strong-arm schools into using its AI products is likely to backfire,” and urged schools to turn off Google entirely and find “more privacy-protective alternatives for search.” * My read between the lines: The default flipped from on to off, which is the concession. The price tag is the product everyone already uses to look things up. Google calls it control; critics call it leverage; the AP’s own reading supports both. The same blog post pilots a Guided Learning feature in Search for select US schools later this month, which hands administrators a friendlier-sounding reason to flip the switch. 📖 Further reading: Google’s Invisible Axe: The Silent Killer of Small Businesses — what it looks like when Google’s gate decides you don’t exist and no human answers the appeal. We lived it with one of our own businesses. Google just made search a switch a school has to flip. If you run a business, you know the feeling: the way people find you sits behind somebody else’s gate, so the place you talk to customers directly matters more, and it eats hours. Marblism sells AI employees that work inside the tools you already use, and Sonny is the social media one: it watches trends, writes posts in your tone and posts for you. No prompting skills needed. New users get 10% off for life, and there’s a 7-day money-back guarantee. Meet Sonny → Anthropic Signs First News Licensing Deal Adweek * What happened: Adweek’s Mark Stenberg reports, citing two people familiar, that Anthropic struck a content and data licensing deal with the Associated Press just before the midterms. On Election Night, Claude users asking for polling data saw “up-the-minute information, provided by and attributed to the Associated Press.” Neither side disclosed terms or length; Anthropic didn’t respond and the AP gave no on-record comment. * Why it matters: Until Tuesday, Stenberg writes, Anthropic had no licensing deal with any digital publisher, while OpenAI has “more than a dozen,” including Axel Springer, News Corp. and The Atlantic. In August, media executives told him Anthropic believes its use of publisher content is legal under fair use. Yesterday we covered the OpenAI and Anthropic election war rooms; this is the data feed side of Anthropic’s election week. * What everyone’s saying: Stenberg’s read: premium publishers block AI crawlers, so Claude could only cite low-credibility sites that “cannot tell a user which politician won a Senate seat 10 minutes ago.” He calls the blocking “effectively a digital embargo,” and writes that “in this limited instance, the strategy worked.” * My read between the lines: The AP is the safest first date: licensing and wire deals are most of its revenue, it was the first publisher to sign with both Google and OpenAI, and it’s nonpartisan. Stenberg expects Anthropic to use the experiment to decide whether to sign more, and notes the company “prepares to go public” in weeks. The lesson publishers will take is that blocking works when the moment is big enough, and every news event now doubles as a negotiation. 📖 Further reading: AI Agents Can’t Find Your Business. I Tested Mine. — the same standoff from the small-business side: the big sites are closing doors on AI agents, and here’s what a bot actually sees at yours. The daily Brief is free and always will be. Members get the long reads where we stay with one story until it makes sense, like the 18 days the US government pulled Anthropic’s Fable 5 offline, plus the full archive. Become a member → Muse Wins on Details Nobody Asked For Nate B Jones * What happened: In a new video, Nate B Jones says 10 million people set up Meta’s Muse agent in six weeks, after Reality Labs lost $19.2 billion in 2025 alone. His point: after a public miss, Zuckerberg swung again. And Muse isn’t winning on raw smarts: “Muse is not the smartest agent on the market. That’s not the point.” * Why it matters: Jones’s test is the hotel bathroom: “You learn whether they care about detail by going to the bathroom. The entrance is supposed to impress you.” He says Muse stays consistent in tabs that “did not have to be the opening shot of a launch video.” He credits Alexander Wang for a team under 200 people and more than a hundred specific model behaviors tested before launch. * What everyone’s saying: Jones named his Muse agent Marvin, after Douglas Adams. When Marvin works, it “would get out a little laptop and type or Marvin would scratch Marvin’s head,” so “I didn’t have to interpret a technical status message.” Jones says that tiny design answers the question everyone asks when they delegate to AI: are you doing it? On Monday we covered Amazon’s shrug at Muse. * My read between the lines: A cartoon typing on a laptop is what a product built for regular people, not AI natives, looks like. Nobody in that audience wants a log line. Jones’s bigger spin is the part worth keeping: AI makes trying cheaper, so our ambitions should be bigger, but “embarrassment is not getting cheaper.” The tools got easier; being seen to fail didn’t. 📖 Further reading: OpenAI Made Its New Agent Adorable. That’s the Part That Worries Me. — the same cute-agent playbook from OpenAI’s side, and why a friendly face on an always-on agent deserves a second look. School Gave a 6-Year-Old an AI Future Self The Washington Post * What happened: The Washington Post’s Caitlin Gibson reports that a South Carolina school used AI to turn a first-grader’s career-day assignment into an image of her as a 25-year-old nurse. Her mother, Nikki Anderson, found it in the folder of assignments in her daughter’s backpack, next to the construction-paper portrait the girl had made herself. (paywalled) * Why it matters: Anderson’s questions, as Bored Panda quotes her: “What software was used? Was it an outside platform? What happens to those pictures after? Did any of us actually consent to that?” She took them to the school’s administration and, at the time of her People interview on October 20, was awaiting a response. * What everyone’s saying: Anderson told People her daughter loved the picture because “she hopes she would be that beautiful when she grows up,” and said: “I think our children deserve protection, not only of their image but of their minds.” Bored Panda notes that some commenters thought she was overreacting, while another wrote that “People shrugging this off as nothing is insane.” * My read between the lines: The assignment was to imagine a future self, and the kid had already done it, in crayon, on paper. The AI version answered a question she’d answered, and it raised the ones her mother listed: which tool, where the pictures go, who agreed. A construction-paper nurse needs no consent form. A photoreal one … This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit artificiallyintimidating.com/subscribe

    Google Ties Student Search to AI Access -- AI Brief November 5
  8. Nov 5

    A Meta Bot Hit an Artist’s Website 550,000 Times -- AI Brief November 4

    Good day %%first_name%%. A Meta bot got stuck pressing “remove from cart” on one artist’s shop, a vibe-coded AO3 clone lasted a single day, and OpenAI and Anthropic ran election war rooms. Plus Mamdani on Sam Altman and how workers across Asia and Africa really use AI. Meta Bot Hits Artist’s Shop 550,000 Times Business Insider * What happened: San Diego children’s author and illustrator Chelsea Paulus told Business Insider that a Meta bot hit her website more than 550,000 times and overwhelmed her hosting. Fast Company reports the bot, Meta-ExternalAgent, got stuck in a loop on her site’s “remove from cart” function, making more than a hundred hits a minute. After she blocked it, a second Meta bot, Meta-WebIndexer, pushed her CPU to 100% and crashed the site. * Why it matters: Paulus told Business Insider she edited her robots.txt file and put up a firewall, but “those can also take 24 hours to take effect, and I needed to stop the bots immediately.” The fix that finally worked was code from her host, pasted into a hidden file on her site. Paulus, who used to work in web design, called it “an incredibly stressful week, even with some of my technical knowledge.” * What everyone’s saying: Meta’s answer: “website managers can decide how our crawlers interact with their sites through tools like robots.txt,” a spokesperson told Business Insider, adding that the company respects “the preferences site owners set.” Fast Company ties the episode to the scrutiny Meta faces over announced changes to its terms that, in its words, “essentially, allow AI crawlers to run wild across business accounts.” Three days ago we covered the one robots.txt line four labs will honor. * My read between the lines: “Just use robots.txt” is true the way “just lock your door” is true: it helps, and it works after the thing has already walked in. The machine built to read the whole internet got trapped by a shopping cart button, and the cost landed on a woman with four websites on one hosting plan. On Monday we covered Amazon’s stance on Meta’s Muse. Small shops don’t have Amazon’s bouncers. 📖 Further reading: AI Agents Can’t Find Your Business. I Tested Mine. — the other side of the bot problem: why the big sites are blocking agents, and what a bot actually sees when it visits a small business’s website. Chelsea Paulus is a working artist who got dragged into server logs and hosting tickets when she should have been drawing. The same thing happens to every small business: the unglamorous stuff piles up while you’re busy doing the work you’re actually good at. Marblism sells AI employees that work inside the tools you already use, and Eva is the executive assistant: your inbox, your calendar and your meeting notes, checking in with you when she needs an approval. No prompting skills needed. New users get 10% off for life, and there’s a 7-day money-back guarantee. Meet Eva → Vibe-Coded AO3 Clone Dies in One Day 404 Media * What happened: ao3.life, a vibe-coded site that scraped fanfiction from Archive of Our Own, reposted it and charged for AI-generated audiobook versions, went down Monday evening. Its creator said it received more than 2,000 takedown requests in the single day it was up, and that “a swarm of AI Agents controlling 40 virtual machines” did the scraping, 404 Media’s Samantha Cole reports. * Why it matters: The clone appeared after AO3 itself went down Thursday following a security incident. The Organization for Transformative Works, which runs AO3, says it could be down for as long as four weeks, with no data lost. AO3 hosts nearly 18.5 million works. Authors who had “archive locked” their stories to keep out bots reported the lock didn’t stop it: “I had everything archive locked on ao3 and it’s still all here,” one wrote on Bluesky. * What everyone’s saying: Readers and authors responded with widespread backlash on social media. The creator, who signed the apology “a 17 year old from India that thought they were doing something good,” said the site drew 126,592 unique users in 24 hours and sold “like 11 audiobooks.” Cole also notes some readers are now trading Google Drive links to works downloaded earlier, which alarms authors too. * My read between the lines: The takedown process asked authors to prove ownership by leaving a note on their AO3 profile. AO3 was down. That is an opt-out system whose proof step ran through the site the scraper had just replaced. The 91% author payout was a promise to hold money “indefinitely” for people who never agreed to be paid by a stranger. It’s a startup pitch that skipped a step: asking. 📖 Further reading: The Font That Beat AI for About a Week — another anti-AI shield that failed in public, and what it says about the doors we leave open. The daily Brief is free and always will be. Members get the paywalled deep-dives behind the headlines, like what happened when seven AI bots ran a business for 72 hours, plus the full archive. Become a member → OpenAI and Anthropic Run First Election War Rooms The Hill * What happened: For the first time, OpenAI and Anthropic ran election “war rooms” for Tuesday’s midterms. The New York Times reports a team of more than a dozen people worked around the clock in a conference room off the cafeteria at an OpenAI office in San Francisco, while Anthropic put analysts in cells in San Francisco, New York and Washington. Semafor first reported Anthropic’s. * Why it matters: OpenAI’s head of civic and strategic risk, Josh Lawson, told the Times that “The most available technology at the time in 2024 was text,” and “we’re not just monitoring text anymore.” The threats now include deepfakes, cyberattacks and influence operations that can be launched “with a series of prompts.” Yesterday’s lead was chatbots giving voters wrong dates; this is the staffed response. * What everyone’s saying: The Hill reported on Tuesday afternoon that ChatGPT had pulled more than 16.5 million times from Democracy Works, the nonprofit supplying voting logistics, per its second story. Semafor notes the war-room concept dates to 2018, when Meta stood up the first one, and that Google’s AI Mode failed last week to say who won the 2020 election. * My read between the lines: A dozen people in a room beside the cafeteria, guarding a product the Times says has about a billion users. The technology scaled; the safeguard is still humans watching a screen. Former Meta public policy director Katie Harbath told Semafor war rooms exist for “the things we can’t necessarily predict going wrong.” That is the honest job description: nobody can name the failure ahead of time. Mamdani to Wired: No, I Don’t Trust Altman WIRED * What happened: In a WIRED interview published Election Day, New York City Mayor Zohran Mamdani said he worries AI is a bubble that will pop, and, asked whether he trusts “the Sam Altmans of the world,” answered “No.” He said there are “far too many similarities between the housing bubble and the state of AI in our economy today.” * Why it matters: Mamdani has supported New York State setting a one-year pause on data center construction. His complaint is opacity: these companies operate at “a level of opacity that renders it almost impossible for us to make an informed conclusion as to how much this query is actually costing us as a society.” * What everyone’s saying: He compared the industry’s pitch to Facebook in 2008, arguing “they should be able to regulate themselves.” On deepfakes, he said family members send him AI videos of himself believing they’re real, including praise for a 45-minute debate with a European member of parliament that never happened. “There is a real crisis of faith as to what is real right now.” * My read between the lines: A politician answering “do you trust Altman” with one syllable, then handing the question back to the interviewer, is notable by itself. What he’s really pushing against is the idea that AI is “so complicated” the only rational answer is to trust the builders. Workers in Asia and Africa… This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit artificiallyintimidating.com/subscribe

    A Meta Bot Hit an Artist’s Website 550,000 Times -- AI Brief November 4

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