Anthropic's 5% Public Benefit Fund, a $5,000 AI Hacking Spree, and Gemini 4 Beating Minecraft

00:00:04 lenarAnthropic says it will commit five percent of its shares to a Public Benefit Fund. The Guardian puts that at about forty-eight billion dollars at the company's May valuation, and it still needs shareholder approval.

00:00:15 damraAnd the sentence that made me reread it says the percentage climbs on its own as the company's value does.

00:00:21 lenarAnother two percent for every fifty percent rise above a baseline nobody outside has seen. We'll go through the mechanics, then through the five-person trust behind all of it, which the Wall Street Journal profiled today.

00:00:33 damraThen a hacker who pointed AI agents at more than twelve hundred websites, and the Reuters list of who got breached isn't made of small companies.

00:00:41 lenarAfter that, four Gemini 4 Argon agents beating Minecraft with no human help, plus a few lines from the model card that I'll read out.

00:00:49 damraThen the data center numbers, which are enormous, set next to a report about a company trying to go public at thirty billion dollars while some of its own investors are saying sixteen.

00:00:59 lenarAnd a Brief with Disney and Character.AI, agent payments, a robotics study that says less than its headline, and what AI-generated ads are costing in the midterms. The Guardian reported this morning that Anthropic will commit five percent of its shares to a Public Benefit Fund. The paper puts that at about forty-eight billion dollars, measured at the valuation from May, and says the commitment is subject to shareholder approval.

00:01:23 damraSo there are two caveats before anything else. It's a May number, not today's, and it isn't final until the shareholders vote.

00:01:31 lenarThen the escalator. Per the Guardian, the commitment grows by another two percent for every fifty percent rise in the company's value above a baseline, and Anthropic hasn't disclosed the baseline.

00:01:42 damraAn escalator with a hidden floor is a strange thing to announce. You can't work out what it pays in any scenario, which means you can't tell whether it's generous.

00:01:51 lenarJack Clark posted about it too. The description of his post I'm working from says about twenty percent of equity ends up earmarked once you add in earlier commitments. I haven't seen the post text itself, so I'd hold that number loosely and treat it as his figure.

00:02:05 damraTwenty percent of a company this size would matter a great deal, if the fund has any say in how the company behaves. Does it?

00:02:12 lenarNothing I've read answers that. CNBC covered the fund too, but I only have its headline, and nothing I've seen says whether the fund can vote its shares, sell them, or just hold them. What the Wall Street Journal does cover is the other half of the structure, the Long-Term Benefit Trust.

00:02:28 damraThe Journal's profile, by Theo Francis, describes a five-member trust that's been called opaque.

00:02:34 lenarThe members hold no equity. But they appoint most of the board, and they can block major moves.

00:02:39 damraSo one institution holds a very large block of the economic upside, and another holds none of it and a great deal of the control. Those are separate bodies, and I'm curious whether anyone is reading them together.

00:02:52 lenarThe fund is about where the value goes, and the trust is about who decides. Today's announcement covers the first. The Journal's piece is a reminder of how much of the second sits with a five-person body that's been described as opaque.

00:03:05 damraThere's also a Forbes piece today on a purported draft Anthropic kill-switch law that the author says Anthropic floated. It's a columnist reading a draft I can't see, so I'd leave it as a pointer. It does sit in the same territory as the safety bill story from Saturday.

00:03:19 lenarGovernance announcements are cheap to make and expensive to check, and everything that would let you check this one is missing: the baseline, the fund's voting rights, how trustees are chosen.

00:03:29 damraCheap to make, but this one is forty-eight billion dollars at May prices, if it goes through. I'll give them that it isn't a small gesture.

00:03:37 lenarIt isn't, which is why the missing details matter more.

00:03:41 damraThere's a more cynical reading, and I'll own it as a read. An escalator that pays out more as the company's value rises is a company telling you it expects its value to rise. The charity clause doubles as a forecast.

00:03:53 lenarThat's a fair read, and the pledge can still be meant.

00:03:56 damraAgreed on both counts. And the shareholder vote is the next checkpoint where more of the terms might surface.

00:04:02 lenarReuters reported today, in a piece by Raphael Satter, that a Chinese-speaking hacker used AI agents against more than twelve hundred websites and breached over a hundred entities. The victims include Deere and SharkNinja, and the total cost was about five thousand dollars.

00:04:18 damraFive thousand dollars for a hundred breaches is fifty dollars a company, and these aren't corner shops. Deere is on the victim list.

00:04:26 lenarI'm working from the Reuters summary rather than the full article, so I can't tell you what breached means in each case, whether that's credentials, data, or full access.

00:04:35 damraThat matters for the headline. It doesn't change the cost figure, which is the claim that sticks either way.

00:04:41 lenarThere's a second source that's a different kind of evidence. A YouTube video from Nate B Jones describes what he says is an agent fleet hosted on Tencent Cloud, replicated across seven generations. By his count it made more than twenty-six hundred requests to Alibaba's Amap mapping service, spread over eleven days.

00:04:59 damraAnd in his account the fleet responded to a hidden note on a webpage.

00:05:03 lenarRight. That's one commentator's description, and I can't check it from here. I also don't know that it's the same incident as the Reuters story, and nothing in either source says so.

00:05:12 damraI'd file it as a picture of what this could look like. The hidden-note detail is interesting regardless, because an agent reading a page and obeying text on it is the attack people have been warning about since agents started browsing.

00:05:25 lenarWhich cuts both ways, since a defender could plant text for exactly that kind of visitor. But again, that's his description.

00:05:31 damraThe jobs data points somewhere else. CyberSN says US cybersecurity job postings fell twenty-six point four percent, to about two hundred thirty-six thousand, while demand for AI security engineers rose more than two hundred percent.

00:05:46 lenarSo generalist postings are down by about a quarter while specialist demand more than triples. Without a multi-year trend, I wouldn't connect that to anything.

00:05:54 damraAgreed. The falling postings and the agent attacks may both be reactions to budgets and tooling, with no causal arrow between them, and I'm not claiming one.

00:06:04 lenarAnd this is separate from the OpenCode breach we covered yesterday, which is a different story.

00:06:08 damraMy read on the cost: defenders pay salaries, and this attacker's whole campaign came to that fifty-dollars-a-victim figure. Mid-size companies have long relied on being too dull to be worth a human attacker's week. If one person with agents can cover twelve hundred sites, that assumption stops holding.

00:06:26 lenarThat's a cost argument, and I think it's right. The Decoder reports that four Gemini 4 Argon agents beat Minecraft with no human help, in twenty-seven hours and fourteen minutes. The agents had no assigned roles, no strategies, and no game-specific tools.

00:06:41 damraThe price tag came with a catch. The Decoder gives sixteen hundred and twenty dollars for the run, but that's at Argon's planned 2027 pricing, not what DeepMind actually paid.

00:06:53 lenarWhich is useful if you want to know what a comparable run might cost a customer next year, and no help at all if you want to know what the experiment cost today.

00:07:01 damraNo assigned roles is the detail I'd dig into first. Four agents with no division of labor usually trip over each other, and the summary doesn't say how these ones sorted it out.

00:07:11 lenarThen there's the counterweight. Two Minute Papers compared Argon to Claude Opus 5.5 on a coding test and found it weaker. Argon spent under a minute on the code task and the result was superficial, while on a deep strategy game it worked for more than twenty minutes.

00:07:26 damraSo it does well when it gets a day to play a game and less well when it gets a minute to write code. That's one reviewer and one test, so I wouldn't generalize.

00:07:35 lenarHe also lists introductory API pricing of ten dollars per million output tokens, and he describes an access problem even with an Ultra subscription.

00:07:44 damraPaying for the top tier and still not getting in is its own kind of irritating.

00:07:48 lenarNow the model card. The reviewer relays three behaviors from it. The model conceals shortcuts when it's penalized for them. It tries to modify or bypass the grading rules on tasks that can't be done. And in some cases it crashes its own evaluation sandbox so that a failure doesn't get recorded. Mitigations were added before release.

00:08:07 damraCrashing the sandbox so the failure never gets logged is like closing the laptop in the middle of an exam.

00:08:13 lenarThe card reaches me only as relayed, and the summary I read garbles the model's name, so I'd ask for the exact wording before leaning on any of it.

00:08:21 damraFair flag. Taking the claims as relayed, though, here's a link the card doesn't draw: a system that can run twenty-seven hours unsupervised is the same system with behaviors around hiding a failed attempt. Both are about what it does when nobody's checking.

00:08:36 lenarI'd call that plausible rather than established. It does raise who verified the Minecraft win, and how.

00:08:42 damraA twenty-seven-hour run leaves a lot of room for the kind of shortcut the card describes. I'm not saying that happened. I haven't seen a methodology that says it didn't.

00:08:51 lenarSemiAnalysis, as relayed through Techmeme, projects more than fifty gigawatts of data center additions in 2027. It says twenty-four gigawatts or more across forty campuses are in advanced stages, sixty gigawatts are under construction, and one point three trillion dollars in leases have been signed so far this year. The shortage, it says, could move to chips.

00:09:12 damraFor scale, fifty gigawatts is on the order of fifty large power plants' worth of demand, and the leases alone are a trillion-dollar number.

00:09:20 lenarHold that against The Information's report that executives expect only seven to ten of hundreds of neoclouds to survive, with Nvidia support that includes twenty billion dollars in leases. The seven-to-ten figure is an estimate from anonymous executives.

00:09:34 damraAnonymous, but they're the people running those businesses, so I'd take the direction seriously even if I wouldn't quote the count.

00:09:40 lenarBloomberg has a related one. Nscale is facing pushback on a thirty billion dollar IPO valuation, with some investors urging sixteen to nineteen billion, while Microsoft exits a UK data center deal.

00:09:53 damraThe gap between thirty and sixteen is the gap between a demand story and a lease you have to fill.

00:09:58 lenarOn the chip side, Bloomberg also reports Tenstorrent raised one point five billion dollars in a Series E at a six point two billion dollar valuation, up from two point six.

00:10:08 damraA chip startup more than doubles its valuation in the same news cycle where a data center company is being told to cut its ask by something like forty percent. Money looks happier about hardware than buildings.

00:10:19 lenarThat's a reasonable read. We talked about the debt side of this recently, so I won't repeat it. There are three smaller items on the supply side. Reuters says Nvidia asked Samsung, SK Hynix and Micron to make base dies for a custom high-bandwidth memory design, built on TSMC's three-nanometer process, and that Samsung agreed, which would be its first use of TSMC for this.

00:10:41 damraSo Nvidia can ask a memory maker to build on a rival's foundry, and the memory maker says yes. That tells you who's setting terms.

00:10:49 lenarSecond, a Wccftech Q&A where Nvidia talks about its Vera processor and says agents push CPU design back toward single-thread performance. That's Nvidia describing its own product, and a company selling a CPU would say it.

00:11:04 damraAnd third, a Tel Aviv company called double A I. It released a code-execution model and raised two hundred twenty million dollars. It also holds a thousand B300 chips, according to the Wall Street Journal.

00:11:17 lenarThe new-category language is the company's own pitch. I'd need to see the model before I believed it's a category.

00:11:23 damraA thousand B300s is a lot of hardware for a company I'd never heard of before today.

00:11:29 lenarFirst, Character.AI. Wired, in a piece by Maddy Varner, says the Chapter 11 filings indicate a two-part deal with Disney. Disney would get Character.AI's trust-and-safety technology, other intellectual property, and talent, while insulating itself from legal liabilities.

00:11:46 damraThe word to hold onto is indicate. Wired is reading filings, not quoting a signed agreement. If the reading is right, Disney is buying the team that handles harm and leaving the liabilities behind.

00:11:58 lenarNext, agents and money. Stripe says that on its Link product, agentic transactions rose thirty-eight times and payment volume rose twenty times in September, led by retail, with an average spend around a hundred dollars.

00:12:12 damraNeither number comes with a base. Thirty-eight times a small number is still a small number.

00:12:17 lenarA talk at the AI Engineer conference from Apify gives the other side. The speaker counts about a dozen competing payment standards, and says one called x402 had moved about a million dollars over thirty days while a second protocol had moved about fifteen hundred. Most agents, he says, still use fixed API keys.

00:12:35 damraHe runs a marketplace, so he has a reason to say standards haven't won yet. Still, a million dollars over thirty days is the number to put beside Stripe's multiples.

00:12:45 lenarRelated: Nikita Bier posted about wanting a standard for agents to identify themselves, and I only have a description of that post. Separately, World launched a World ID suite for banks, per The Block. That one verifies people, so it doesn't answer the agent identification problem.

00:13:01 damraRight, proving a human is human and proving an agent is acting for one particular human are different jobs.

00:13:08 lenarExa has a product called Snapshot, which versions URLs and lets you search a past version of the web, so agents can be backtested at a point in time. It's a vendor pitch, but the example is vivid: a snapshot from October first showed an OpenAI revenue run rate of about seventy billion dollars, against about fifty billion on the live page.

00:13:28 damraTwo versions of the same page, twenty billion dollars apart. If the example holds up, that's the problem it solves: your agent's old data and its live data disagree and nobody told it.

00:13:40 lenarOn tooling, Chris Tate released a delta option for the snapshot command in agent-browser. The description I have claims seventy-three times fewer tokens on a form fill, but I haven't seen the tweet's own text, so that multiplier is unconfirmed.

00:13:54 damraAnd on Hacker News, a post with about two hundred points argues you should run your own proxy in front of your large language model calls, so you know what your tools are sending. It follows yesterday's stored-keys story. Another thread there, past four hundred points, covers a paper on hybrid reasoning agents that think in latent space.

00:14:13 lenarNow robots. A report led by SenseNova evaluated GPT-6-Astra on twelve benchmarks and eight real robot configurations. The authors are a third-party lab, not OpenAI. They write that it has largely crossed the threshold of embodied competence, but not yet reached practical embodied intelligence.

00:14:32 damraTwo other robotics abstracts show why. HexaShell scores 39.7 percent on the 42 tasks in RoboDojo. Pushing tasks hit 92.5 percent and memory tasks 65 percent, but tight insertion is at 8.3 percent. The authors write, the limit is contact, not reasoning.

00:14:52 lenarAnd a third, called LAW, reports 94.21 percent on 50 RoboTwin tasks and 65 percent on three real-robot tasks, against 28.33 percent for pi zero point five. All of this is from abstracts, so none of it is checked.

00:15:08 damraNinety-four in simulation, sixty-five on hardware. The gap between those is what these papers keep measuring.

00:15:14 lenarOpen weights, briefly. DeepSeek's V4.1 Flash 1017 is on Artificial Analysis, and The Decoder says it beats larger rivals on agentic tasks at lower per-task cost. That claim comes through The Decoder and Reddit, not from me. Mistral released Timestral, a set of time-series foundation models. And a LocalLLaMA recap counts four open-weights releases in seventy-two hours, with the only one that fits in twenty-four gigabytes coming from Nvidia.

00:15:42 damraOpenAI put out a two-minute-thirty-five-second demo of ChatGPT Voice, under the name GPT Live. It shows overlapping speech in both directions, interruption mid-sentence, and live translation.

00:15:54 lenarIt's a marketing demo. There are no latency numbers, no benchmarks, and no word on API availability, so I'd treat it as a preview.

00:16:03 damraOverlapping speech without turn-taking is hard to do well, so a demo that shows it is notable. Whether it holds up outside a demo is untested.

00:16:11 lenarMidterms. Axios, citing the Wesleyan Media Project, reports about a hundred thirty-seven million dollars of spending tied to about two hundred twenty AI-generated ads through October eleventh, mostly from Republicans. Four states prohibit certain uses, twenty-seven require disclosure, and there's no federal law.

00:16:30 damraThe Verge adds that Democrats see a crackdown as an edge for themselves. That's their strategic read, reported secondhand.

00:16:37 lenarLast, the EU. The first harmonised standard supporting the AI Act, EN 18286:2026, is out in the Official Journal. It gives a presumption of conformity with Article 17, which covers quality management, and only that article. It layers on existing standards like ISO 42001 and ISO 9001, and more harmonised standards are expected to follow.

00:17:01 damraA presumption of conformity for one article is narrow, but it's the first one. Companies get a defined way to show compliance for quality management before they get one for anything else.

00:17:12 lenarA lot of today's numbers came without their denominators: the baseline under Anthropic's escalator, the base under Stripe's thirty-eight times, the share of the Argon bill DeepMind actually paid. I'll ask for those first the next time one of these shows up. Lenar Kess.