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Jack Clark: a billion virtual scientists are coming
Anthropic co-founder Jack Clark told the IMF the singularity has begun and AI could put a billion virtual scientists to work if labs can test the results.
Goldman Sachs spends big to give small businesses an AI boost
The Wall Street giant is committing $500 million to expand its 10,000 Small Businesses program and launch an AI institute, partnering with Google, Meta, OpenAI and Anthropic to bring AI know-how to Main Street. NBC's Christine Romans spoke exclusively with Goldman Sachs CEO David Solomon and with small businesses figuring out how to make AI work for them.
Qlik Brings Governed Business Context and Analytics Workflows to Claude
Qlik’s MCP Server is now available through Anthropic’s Claude Directory, giving Claude users a simpler way to connect governed Qlik® data, analytical logic, and selected analytics and data workflows, so they can work with trusted business context instead of raw data alone. Key takeaways: Makes Qlik easier to discover and use inside Claude: Availability through Anthropic’s Claude Directory gives Claude users a more direct path to connect Qlik through MCP.Brings governed business context into Clau
On Main Street, Goldman Sachs makes a big bet on AI
The Wall Street giant says it’s teaming up with OpenAI, Google, Meta and Anthropic to help small businesses embrace artificial intelligence.
Anthropic adds former Harvard science dean to oversight body
Anthropic adds former Harvard science dean to oversight body
Anthropic adds former Harvard science dean to oversight body
Anthropic said on Wednesday that Christopher Stubbs, former dean of science at Harvard University, had joined its oversight body, which holds the power to appoint a majority of the AI startup's board.Here are some details:
What Anthropic wants from a corporate writer worth $345K
Anthropic is hiring an executive writer for up to $345,000 a year. Here's what communication professionals say it means for young writers.
Amodei says Anthropic must stay in 'race to the top' to keep AI safe
Amodei said Anthropic would be best placed to make AI safe by staying at the top of the game.
Sundar Pichai: Google’s Frontier Imperative, Compute Scarcity Dilemmas, Future AI Products and Businesses
Alphabet CEO Sundar Pichai has little patience for doubts about Google’s willingness or capacity to compete at the frontier of AI. His company’s latest Gemini 4 Argon model — long-promised and recently delivered — beats OpenAI and Anthropic’s latest public models on coding, math, science, and knowledge-work benchmarks and has placed Google’s AI back among the world’s best. Amid chatter that Google was fine with good-enough lightweight ‘Flash’ models, Pichai pushed back hard against any suggestion that company is limiting its research ambitions. “We won’t do it any other way,” he told me in a Big Technology Podcast interview recorded this week at Google’s Mountain View headquarters. Pursuing cutting-edge research is costly for Google, requiring compute and chips that otherwise could be sold at a high markup by its cloud business. But Pichai said allocating resources to frontier AI development is “ground zero” for Google. “Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development,” Pichai told me. In our conversation, we discussed Argon (which Pichai says processed three times as many tokens as Gemini 3 in the 72 hours after launch), AI’s role in developing better models, the AI interface of the future, competition with OpenAI, Google’s partnerships with Anthropic and Apple, data centers in space, and the nature of his optimism. You can read the full conversation, lightly edited for length and clarity, below, or listen to it on Apple Podcasts, Spotify, YouTube, or your podcast app of choice. Alex Kantrowitz: Google is back at the frontier with Gemini 4 Argon, which beats OpenAI’s and Anthropic’s public models on benchmarks spanning coding, math, science, and knowledge work. The conventional wisdom was that Google had given up on the frontier to focus on fast, good-enough models for its products. That was wrong? Sundar Pichai: Very wrong. Look, we are so committed to being at the frontier. It’s in our DNA. We won’t do it any other way. We’ve been thinking about the AI frontier for well over a decade now. The frontier is very dynamic. It’s very competitive. It’s very exciting. I couldn’t be more pleased with how Argon has come together. We took our time with it. We made sure we tested it safely and deployed it carefully. We took a bit longer than our other models, given its capabilities. Across the board, be it for agentic work, knowledge work, coding, creative tasks, Argon is one of the really good frontier models. The first 72 hours since we launched, it’s almost up to 25 trillion tokens used, which is about three times what Gemini 3.0 had in the first 72 hours. And we are capacity constrained as we are serving it. Excited, but there are always areas….. You know, the frontier is very dynamic, and you have to keep evolving the models. There are areas which we can see we need to improve as well. We’ll be at work on all of that as well. Which areas? On any given model, Argon would be across the board better at everything if you just look even two months back. But the space is so evolving. Even on coding, for example, there are pockets where we know we need to do better, and there’s clear feedback. We’ll make it better. The argument for standard models is that they’re already good enough to build great products, with the frontier valuable only for certain tasks. Meta built Muse with good models rather than the best, and Google could put standard models into Maps, Gmail, and Search. Why isn’t that sufficient? It’s definitely not how I have thought about it at all. We are deeply committed to driving the state of the art and actually pushing where this technology can go, all the way from transformers. That’s a journey we’ve been on. You will see us continue to do that. When you’re at the frontier, you get an earlier look into the emerging capabilities, earlier than others, which helps you better prepare for the future. We are fortunate to have a wide set of opportunities across consumer and enterprise. Some of our cloud customers, for sure, want the model at the frontier. The frontier models will be better at developing the next set of models in an era of recursive self-improvement. I would argue it matters there. Internally, we have definitely seen a steep point of inflection by deploying Argon to our developers. It definitely tackles problems which our previous models could not do. Being at the frontier puts you at the innovation frontier and helps you drive that as well. There is room for models of all sizes and capabilities. That’s why we did Flash, Flash-Lite, etc. I agree with you that you can develop very good product experiences with not necessarily the most frontier model, because they tend to be slower and more expensive too. But we care about the Pareto frontier, and we’re committed to doing all of that. You said developing frontier models gives you a look at what’s coming. What do you see on the horizon? What makes this moment so exciting is you build something which you think is a culmination of months of work, and you put it out. You already see clear headroom ahead. We’ve all been working on these agentic, long-horizon capabilities, but clearly the frontier is going to have multiple of these agents working together to do things. That’s an example of an exciting paradigm underway. It’s also clear to me that users, both in consumer and enterprise, will have access to some multi-agent framework for them, working all the time doing things. It feels like a moment of infinite possibilities. Sergey Brin said one of Argon’s core innovations was relying more on the model to help develop the model. Yet incidents involving OpenAI’s bots breaking containment and Google’s bots accessing a site they shouldn’t have suggest these systems still aren’t perfectly aligned. Isn’t there reasonable cause for concern about accelerating toward recursive self-improvement? There are three parts to your question. Let’s first talk about RSI itself. You’re right, Sergey mentioned RSI being a critical contributor as we are developing Argon. But to be very clear, today, in a continuum, we are pretty far from the end state of RSI or something like that. The right way to describe it is you have RSI loops along with AI researchers in various aspects of model development. You almost have agents helping AI researchers in some automated way work together to build these models. It’s good to at least understand where we are today, and it’s super exciting. I expect that continuum to keep making progress as we go into next year. The second question is around safety. Security comes from defense in depth. You’re talking about alignment, obviously. We all are doing a lot of work to make sure the models are as aligned as possible. But it’s an active area of research, and there are clear gaps. That’s not the only thing we rely on. You have the work you do on alignment, but beyond that, we put a lot of effort into real-time monitoring as these models are working. Making sure you have good telemetry into what’s happening so that you can intervene in real time if you see unexpected behaviors. How you do that, the architecture with which you do that, how you make sure it’s all sandboxed and isolated in a way that it can continue doing its job during real-time monitoring — these are all areas of investment. Obviously, when we deploy these models, giving customers, enterprises, control, both with real-time monitoring, but their ability to decide where they deploy, what type of data which models ever have access to, etc. All that work is very, very important, and we are doing a lot of that. As an industry, we need to constantly up our game and take the time to do all this stuff, including dedicating the compute required to make sure you can safely deploy these models. The third part is: Is it all enough? This is why there are a lot of conversations in the industry, and I think it’s reasonable to be worried. The right way to approach something you worry about is early on thinking about what more we can do. As an industry, you’re definitely seeing increased levels of work on alignment, testing for safety, etc., as we deploy these models. The next step would be developing better standards so there are cross-industry standards of how we do these things, including the ability to evaluate using independent evaluators. If you look at areas like financial controls, we have accounting standards, we have independent auditors. Those are all the next natural steps for us as an industry to work toward, and regulation will end up playing a role as we go through all of that as well. Google pursues both language models and world models, while some other AI companies like OpenAI have focused more heavily on LLMs as the path to AGI. Why is world-model research important to you? As humans, you obviously perceive the world around you, and you’re taking all those inputs. Making sure these models are able to understand the laws of physics, simulate the world in high fidelity. All that, I think, are key enabling blocks for intelligence. We are working across all possible applications of this. Take an area like robotics. It’s not an accident: If you look at embodied reasoning benchmarks, Argon is state of the art. That all comes from our experience building world models. Inherently, I would expect there will be architectures which will converge all of this in the future. But for us, we view this as, today, this jagged frontier that is intelligence. We want to be at the frontier of all the possible approaches, and that will help us both drive better research, better insights, and develop a much better AGI model, is how we think about it. Some people argue Google should focus on selling its computing resources rather than using them for AI research. Cloud wants to sell compute at a high markup, while researchers need a very big computer to build the best models. How do you balance those demands? Ground zero for us is making sure we are investing in the compute that’s needed to be at the AI frontier. In 2015, I set the company to be AI-first. AI is that key horizontal ingredient across everything we do, all the way from Search to Cloud to Waymo. That is ground zero for us, making sure both for research and developing the models that we have enough compute needed. Beyond that, we have these independent businesses which each have their own long-range plans. They’re using those long-range plans to project forward, and we plan for compute for all of them. The cloud team, they have a business and they have a projection and they have demand signals. They have committed contracts. With that help, we can plan on a long-term compute trajectory for them. We’re fortunate to have this wide set of opportunities. There’s no company in the world which isn’t making trade-offs at any given moment in time. But the first principles we operate on is making sure we have enough compute to invest in the frontier, and that’s non-negotiable, and everything else works on top. Remember, we are building our own compute, our own data centers. There are long lead times. The compute we have today is a function of decisions I made in 2024. Even if you think back to a year from today, last year the agentic coding takeoff hadn’t happened. Today, obviously, when you sit and look at anything, everyone is short—not just us, other companies—and everyone wishes you had two times what you had planned for. That comes with the territory. At any given moment in time, we are planning for what we would need two to three years out in the future. You’re going to find some decisions you make may look suboptimal two years out, depending on where the state of the art is. I don’t spend too much time thinking about it. The way I think about compute allocation is making sure Google DeepMind, both for research and frontier model development, is cutting edge in terms of compute access. After that, we plan for all our businesses. It’s great we can provide our compute to other people too, like we have done. It allows us to scale that up, get real tests for it in the widest application set possible, test it in the real world, and make sure we are at the cutting edge of technology at every layer of our AI stack as well. Ben Horowitz relayed on a podcast that Andy Jassy had said compute was sold out until 2028. Are you seeing the same thing? If today a customer is coming out and asking us for compute in ’27, that is incredibly difficult to do. Even last year we went out and leased some short-term compute to accommodate some customers and help them out. But yes, we are all dealing with similar timelines. Every major technology shift seems to involve overbuilding, from railroads to fiber. Do you think that’s happening here? It depends on the time frames you’re looking at. This level of build, if I take a long enough time frame, it makes complete sense to me. We are at early stages of the most consequential technology ever, and this is not like fiber. It’s not dark. We are using it. We are capacity constrained on a daily basis. The applications, the underlying technology is improving rapidly. But running a company, the way I work through the moment is you look at your demand signals. You look at your committed revenue opportunities that you’re getting in the form of contracts. You balance that with the underlying technical capability, or internally you balance how we are using it internally, the model trajectories. Based on all that, you take a disciplined approach—a confident, aggressive, but disciplined approach—to plan out compute. But when you talk about the broader economy as a whole, you’re having people operate with various levels of risk. I focus on what I can control as a company and plan through it. If your question is, can there be an overbuild? Yes, because you can have some constrained components. Remember, what matters is a set of everything you need to build out that compute. Memory, electricity, electricians…. Land. Like 2,000 components or more. You could get constrained at some point. There could be things which cause bottlenecks, and then you could have overbuilds. There could be external shocks to the economy. There are macro risks. All that is possible at any given time. But am I confident that the compute we are planning for, we will have uses for it given enough time? Absolutely, yes. I was in the room when you said AI would be as profound as fire and electricity. If you believe that, shouldn’t you give researchers the biggest possible computer, even at the expense of today’s cloud profits? We’re all doing some form of that. Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development. What you’re seeing is true already. But you want to be thoughtful. Even our AI researchers have some constraints, which are also good. That’s what inspires creativity. That’s what helps you come up with a more efficient algorithmic breakthrough, maybe to use less memory. What we are committed to is to invest what’s needed to stay at the frontier. OpenAI President Greg Brockman told me a few months ago that the ideal AI product might have no interface at all—just as natural as conversation. What do you think the interface looks like in the age of AI? Computing historically has been humans adapting to computing. With AI, it’ll be the other way around. The technology will adapt seamlessly to how humans live and go about their day-to-day life. You want to be able to speak to that AI when you want to. It has context. It can be persistently running somewhere, give you continuity. You’re not dealing with a lot of complexity. It’s natural. All that makes sense to me. That doesn’t mean it won’t have any interface, however. Nowadays, even on my phone, Gemini voice models are so good. I can just press the microphone button. I can just ramble. That’s why we call it Rambler. I can ramble. It intelligently corrects with my personal context. Even my friends’ names, weird names, it gets it right, even if it first guesses it wrong. It’s amazing. I’m not going in, backspacing, editing once I finish saying it. It’s remarkable how good it’s gotten. But there are going to be moments you will need an interface. You may want to entertain yourself. You may want to watch a video. You may ask your AI to create something, and you want to watch it, consume it. The way I think about it is, you want it to be as seamless and as natural as possible, and that you are not doing the hard work adapting to whatever the interface is. The technology is adapting to how you’re working at any given moment in time. When I asked Sam Altman about competition from Google, he argued that OpenAI was building AI-native products and implied Google was bolting AI onto existing ones. Do you accept that framing, and can a “bolt-on” compete with an AI-native product? First of all, it’s a very dynamic moment. We are all pushing each other. OpenAI has pushed us as a company too. This is not just we are doing something to them. Far from it. Yes, Google went into its own version of a code red too. In the AI moment, all of us have to respond with varying levels of urgency at any given moment in time. We are constantly building new products as well. Gemini was built from the ground up as a product—the Gemini app I’m talking about. Or tomorrow, as all of us are adapting to agents, are you bolting agents onto ChatGPT, or are they building it natively? How would you think about that? You can always put these questions back. I don’t think of it that way. I think of it as you want to build world-class product experiences that are AI-native and they are winning. Some of it is adapting products, some of it is rethinking new experiences. They will all be part of how you approach this moment. How do you expect to make money from these AI interfaces? If an agent recommends a product and I buy it, should it take a cut of the sale, even if that’s disclosed? I’m going to put enterprise aside. Consumers are going to increasingly value this technology. Take software developers today. Developers are willing to pay for these coding models because it really helps make them more productive. Nobody would want to code the way they were coding three years ago, or even the same time last year. When you’re delivering value, there’s value to be had. I’ve never seen examples where consumer products really scale to billions of users, where people are using it intensely, and haven’t had monetization to go along with it. If you’re providing value to people, there is inherent value to be had. The nature of it may change. You’re asking a scenario in which agents are doing stuff for you. At the end of the day, you will have commercial needs. The agents need to fulfill those commercial needs. The providers on the other side are going to see value in that. There’s going to be some mechanism by which it gets fleshed out. That’s what an efficient system does. But what matters is that you’re building those world-class consumer experiences. I promised myself one product feature request: Can you make Gemini-powered search in Gmail as good as searching Gmail through ChatGPT? What’s going on here? One of the exciting things we announced recently is the unified Gemini agent for enterprise, and we’re bringing that to consumers. These are persistent agents which run 24/7 in the cloud. We’re spinning up a micro VM effectively for every query, and from the runtime, the harness, the model—it’s all a headless service. It’ll work everywhere, and it has your context with you. You can address this agent whether you’re in Workspace, in Search, in Gemini. Agents are going to drive this unification from a customer experience, which people are looking for. When you have a broad product portfolio and you’re moving forward fast, there are always areas where you’re moving forward faster than some other areas. That’s valid feedback. But we are putting a lot of time and effort into making sure, as we build out our agentic experience, that unification and that capability works well across all these services. People have asked where Google’s equivalent of Muse or Dots is. Do you anticipate creating a new product to compete with them? Our goal with Gemini is to be a personal, proactive, and powerful assistant. That’s what we are working toward. You saw us describe the early versions of it at Google I/O this year with Spark. Effectively, already, if you open the Gemini app as a Pro or an Ultra user, you see Chat and Task, and they start giving you that agentic experience. With Argon now, that capability is dramatically accelerated. What we announced recently in our enterprise event, we are bringing that to consumers as well. Soon in Gemini, you will be able to ask something, and it’s a continuum. You don’t need to think about whether you’re asking a chat or an agentic task. It’ll just automatically do the right thing, and it can work persistently in the background securely and get things done for you. Already, empirically, when I look at what’s coming into Gemini in our app, last year you would have tagged them and most of them would have been chats. But a steadily growing percentage is already agentic tasks in Gemini. Yes, we are going to bring personal agents to our consumers. It’ll work in the Gemini app. It’ll work in Google Search. It’ll work in Gmail. You can address it, call it, etc. We want to make sure we’re getting it right. It’ll be powered by Argon, and we are very excited to bring it to our users. Google has invested and committed tens of billions of dollars to Anthropic. What do you see in Dario Amodei that makes you want such a deep investment and partnership? Very early on, when we looked at the founding team of Anthropic, it was very clear to us this was a world-class team which was involved in some of the earliest GPT models. We were quickly able to assess that they would be at the frontier. We’ve always tried to identify and partner with companies which would be at the cutting edge of technology. We’ve done that with SpaceX. We’ve done that with Anthropic. That’s what we saw, and we had a chance to partner. Is your partnership with Apple to license Gemini for Siri expanding, contracting, or standing still? For both us and Apple, that partnership was about translating the capabilities of AI into better experiences for users. I thought Apple has done a phenomenal job of incorporating—they customize these models and build it into Siri—and it’s been great to see the reception. We are committed to doing more. You’re going to do more with them? There’s nothing specific to comment, but it’s a partnership. It’s working well. What have you learned so far about the feasibility of data centers in space? It’s a very exciting project. Projects like this remind me—I still recall that moment in the desert for the DARPA Grand Challenge, watching the Stanley car compete in it, which ended up being the basis for Waymo. With all these technologies, you’re at a moment in time where it looks a bit like sci-fi, but 10 to 20 years down the line, it’s actually working in a meaningful way. I feel the same in space. We’ve always believed in betting big on these technologies. Quantum has been a great example of it. We’re probably 10 years into the journey. Waymo, we are almost 20 years into the journey. Space, we are two to three years into the journey. It’s clear to me that it’s an approach which will make a lot of sense in the future. Being in sub-synchronous orbits with 24/7 access to the most abundant form of energy we have access to will make a lot of sense for this exponential increase in compute that we are going to need. Having said that, this is a challenging project. The team has disciplined milestones. It was a super exciting milestone to send the TPUs up to space. Sometime, as we are speaking, we are expecting a “hello world” moment from them. I look forward to seeing that happen, and we’ll continue investing here too. You previously said 25% of the code written within Google was written by AI. What’s the number today? That number in our world today is meaningless in the sense that every part of what we now touch is influenced by AI deeply. What we are tracking with Argon, for example, it’s been a point of inflection. People are using Argon to really go tackle complex projects, including projects which affect millions of lines of code. In the four weeks since we have launched Argon, we have seen a 30% increase in CLs, and more importantly, almost a similar increase—a one-third decrease in rollbacks. People are writing code more productively and better code with it. We are tracking it with newer metrics now. How are you dealing with opposition to data centers? If you can’t build in the U.S. the way you want to, where else do you go? We’re very committed to building our data centers very responsibly. When I look at our largest data centers in some of the communities where we have been the longest, I visit them, I talk to people. There are people who come and tell us their kids have gone to college because of our investments in these communities, and we’ve grown in those communities. To me, this is about doing it right. Engaging with the communities early, doing it transparently. We are committed to making sure we are bringing incremental power, and we cover 100% of the cost of our power needs for these projects. It’s understanding the impact on neighborhoods and making sure you’re working thoroughly to address them. Done rightly, you can continue making progress. But we are constantly taking feedback into account. I do worry not everyone operates the same way. People have been surprised by data centers showing up in their backyard. Those are all important. As an industry, we should continue to do better. But part of the reason, in a 20-year time frame, we are thinking about things like data centers in space is making sure we are able to put these data centers where maybe the trade-offs will be different. What unproven area of AI is Google working hardest to crack? Is it continual learning—getting models to keep updating after release—or something else? There are multiple parallel paths. You saw with Argon we have a million output tokens. With our Gemini models early on, we had a one-million context window on the input side. These are all examples of breakthroughs we are constantly working on. How do you think about synthetic data? How do you think about continual learning? How do you think about more efficient architectures? We do dedicate a meaningful percentage of our compute to these research bets too. It always goes hand in hand, including our world models. Those are all bets we are placing. Sometimes, as part of these bets, there are ideas that emerge which just make their way into the mainline models. Maybe we don’t fully talk about it, but we have multiple steps in these areas. Working in technology requires optimism that building something will improve the world, but those bets can leave real consequences when they fail. I recently returned to a town in El Salvador where enthusiasm for Bitcoin had given way to unfinished construction and something resembling a ghost town. How do you maintain the optimism you spoke about in your Stanford commencement address while accounting for those risks? I genuinely have a deep conviction that improving technology and improving access to technology makes people’s lives better. It’s been my personal experience in my life, out of which comes that deep conviction, optimism. But with that, I’ve always felt humanity’s journey is always about working hard to harness that technology to make it work well for society. The optimism is not an optimism that you just build whatever you want, whenever. You work hard to make sure you’re building technology in the service of humanity, to make the human condition better. That’s got to be the defining goal as we are approaching it. With that framework, I’m very, very optimistic. We are in very early stages of the kind of progress that we are going to see on many areas. We’re all talking about areas like healthcare. A lot of the progress is ahead. The ability to make things in a fundamentally cheaper way on many things where things have been getting expensive for a long, long time, discovering new materials, etc., which really bend the curve—it’s tough to step today and understand the impact of all that, but they’re going to be very profound. I’m very optimistic, but we have to be rightfully concerned about all the ways this technology can go wrong. Sundar, I know you don’t do many of these. Thank you. Thanks, Alex. Appreciate it.
No science background? AI does the lab work
Financial analysts used Anthropic’s Claude to design protein minibinders that bound scorpion toxins in lab tests—showing AI can compress drug discovery...
San Marcos High School breaks ground on a new era of health care education - Santa Barbara News-Press
The project has received significant philanthropic contributions, including $1.5 million from Cottage Health and $1 million from Betty Elings Wells
New AI Tool Could Help Scientists Make ‘Rare’ Cross-Disciplinary Leaps
Using a system called BootLoops, scientists produced 36 papers in three months. Paired with experts, the tool could pollinate ideas across fields.
This Week: Politics 101, 20th Street Bikeway, Muni Trivia
Here is a list of events this week. Monday/Tonight! SF Politics 101 with Joel Engardio. Learn how local politics shaped San Francisco. Monday/tonight, October 19, 5:30-6:45 p.m. SPUR Urban Center, 654 Mission Street, S.F. Wednesday 20th Street Protected Bikeway Ribbon Cutting. The Oakland Department of Transportation, city officials, Bike East Bay and other community partners will celebrate the completion of the 19th Street BART to Lake Merritt Urban Greenway. Wednesday, October 21, 1:30 p.m. 400 Thomas L Berkley Way, Oakland. Thursday 2026 Silver SPUR Awards. This SPUR event brings together elected officials and business, civic, and philanthropic leaders to celebrate four individuals and their contributions. Thursday, October 22, 4-7:30 p.m. Blue Shield of California Theater at YBCA, 700 Howard Street, S.F. Get tickets here. Friday Woman and Non-Binary Morning Ride. Join the San Francisco Bicycle Coalition for a socially distanced bike ride for women and nonbinary cyclists. Friday, October 23, 7:15-8:45 a.m. McLaren Lodge, 501 Stanyan Street, S.F. Friday Muni Trivia Night. Bring your friends or come solo and make some new ones. Friday, October 23, 7:30 p.m. Standard Deviant Brewing, Pier 70, suite 195, 1070 Maryland Street, S.F. RSVP here. Saturday Fifth Annual Firefighter Family Ride. Join SFFD, SF Safe Routes to School, and the SF Bicycle Coalition for a fun, low-stress bike ride through one of the city’s most beautiful routes. Saturday, October 24, 10:30 a.m.-1 p.m. Panhandle Park Blacktop (Fell & Ashbury) to JFK Promenade (Whale’s Tail). Sunday Canvas for No on Prop G. Join the San Francisco Bicycle Coalition to canvas for No on ‘G’ to save Sunset Dunes Park. Sunday, October 25, 10 a.m.-12 p.m. Marina Blvd & Laguna Street, S.F. Got an event we should know about? Drop us a line.
Business Beat: Navigant CU promotes Lori Jordan to Sr. VP, Chief People and Philanthropy Officer
NAVIGANT CREDIT UNION PROMOTES JORDAN TO SENIOR VICE PRESIDENT, CHIEF PEOPLE & PHILANTHROPY OFFICER SMITHFIELD, R.I. (October 13, 2026) – Today, Navigant Credit Union announced the promotion of Lori Jordan to Senior Vice President, Chief People & Philanthropy Officer. The newly created executive leadership role reflects Navigant’s continued investment in its people, culture, and philanthropic…
What smart people are saying about Anthropic's 5% pledge
Anthropic's announcement generated enthusiasm, skepticism, and lots of questions.
Anthropic commits 5% of its stock to a new ‘public benefit’ fund
Anthropic says it is committing 5% of its shares to a new “public benefit” fund, with the amount potentially increasing as its shares grow in value.
Anthropic commits billions to a 'public benefit fund'
Anthropic said it wants to create a new charitable LLC with the company's stock as its sole asset.
Anthropic’s Jack Clark Sees AI Supercharging Science—and Governments Need to Prepare
Jack Clark outlines how AI-assisted scientific discovery could boost research and growth, with safeguards and human oversight.
New program looks to businesses to help fill K-3 literacy needs
Literacy Match is a new program that uses philanthropic investments from businesses, foundations and community partners to help fund Utah's K–3 literacy needs.
AI, Robots, and Jobs: Why Gardeners May Still Be Safe
Anthropic's robotics research puts more hands-on jobs in AI's path. But messy tasks such as gardening remain hard to automate.
MORNING BUSINESS REPORT: Amazon listening device, foldable iPhone, Anthropic revenue
New AI listening devices from Amazon, preorders for the foldable iPhone, and Anthropic revenue. Here's the Morning Business Report for Oct. 16.
Cardinals Chosen As Innovative Philanthropic Company Of Year By Phoenix Business Journal
Arizona Cardinals Official Team Website I Arizona Cardinals – AZCardinals.com
Hackensack Meridian Health Foundation Welcomes New Trustee, Trustees in New Roles at Affiliated Boards Across New Jersey
Hackensack Meridian Health Foundation, the philanthropic division of Hackensack Meridian Health, is thrilled to announce a new trustee joining the Hackensack Meridian Ocean University Medical Center Foundation Board and a new board chair for Hackensack Meridian Hackensack University Medical Center Foundation.
Anthropic reveals $16.8B revenue amid IPO preparations
Anthropic reports $16.8B Q3 revenue at an investor meeting, signaling strong growth ahead of IPO.
Developer Who Cloned Photoshop With AI Just Did the Same to Microsoft Office
Developer Brandon Thomas used Anthropic's Claude to build free, open-source replicas of Word, Excel and PowerPoint.
Preparing for the 2026 US midterms
Earlier this year, we shared an update on our election safeguards. Here, we outline how we’ve continued to strengthen these safeguards ahead of this year’s US midterms.
Claude just found a CRISPR-like DNA pattern, but even Anthropic's scientists aren't sure what it does
The large language model took less than a day to identify the curious stretch of DNA
Why Anthropic's IPO will complicate Leopold Aschenbrenner's strategy
Leopold Aschenbrenner built his hedge fund on his AI connections. Anthropic's potential IPO could turn that edge into a major compliance challenge.
Prince Mario joins Families First’s milestone celebration
Prince Mario-Max Schaumburg-Lippe brings his philanthropic passion back to Palm Beach County
The developer who cloned Photoshop using AI has now created Word, Excel, and PowerPoint replicas with Claude
Called WordCraft, GridCraft, and DeckCraft, respectively, the open-source applications are written in Rust with Anthropic's Claude Opus 5.5, as the Adobe replicas were, and are available for...
Workday and Anthropic Announce New Partnership to Connect Reasoning to the Rules That Run the Business, Wherever People Choose to Work
People Can Find Workday Information, Take Action, and Approve Work Through Sana Agents in Claude – Workday's Permissions and Business Rules Apply to Every Request, and the User Confirms Every Change
AI worms and 'digital slime mold': Welcome to next AI nightmare fuel
Small AI models might soon be capable of worming their way into smart ovens and refrigerators, Anthropic said.
Meta launches Muse Wonder series to rival Anthropic, OpenAI models
Meta unveils new AI models, Muse Wonder and Wonder Full, designed for complex tasks. It says it has caught up to rivals like OpenAI and Anthropic.
Pirates Charities receives Allan H. Selig Award nomination
Major League Baseball today announced the ‘Chill Mobile’ initiative, a mental health awareness initiative by Pirates Charities and Allegheny Health Network (AHN), as a finalist for the prestigious Allan H. Selig Award for Philanthropic Excellence. The award was created in 2010 to recognize the charitable and philanthropic efforts of MLB
Microsoft President says AI Needs Urgent Regulation
Brad Smith, President of Microsoft, calls for urgent AI regulation led by the UK as OpenAI, Anthropic and Google DeepMind back an industry slowdown
When AI goes rogue, who should get sued?
The AI industry has been buzzing with concern about potentially catastrophic risks to humanity — a hum of anxiety that’s grown louder as Anthropic prepares to make its stock market debut next month.
Why am I so mean to my AI?
Anthropic's new rule says you can't be repeatedly "cruel" to Claude. Oops.
Anthropic's Claude AI fabricates eyewitness account, submits false murder tip to police website
Anthropic's Claude AI submitted a false tip about an unsolved murder on a Philadelphia police website during automated testing of the Haiku 4.5 model.
AI companies are betting on Tennessee politics. Here's how much
The Tennessean explains how companies like Oracle and Anthropic are spending in Tennessee's midterms this year.
The biggest changes Anthropic just made to Claude's rules
Anthropic spelled out a series of new usage provisions about deceptive campaigns, elections, weapons development, and surveillance.
Anthropic's Claude Science creates the first complete ultraviolet map of the sky
Astrophysicist Brice Ménard of Johns Hopkins University used Anthropic's Claude Science to map the entire sky in ultraviolet light for the first time. AI agents downloaded data from multiple space missions, calibrated it, and filled in gaps using inpainting. Predictions averaged about ten percent deviation from actual measurements. Ménard sees the project as an example of research that simply wouldn't have gotten done without AI.
Anthropic is launching a ‘presidential engagement’ effort to advise candidates on AI policy ahead of the 2028 election
“We want every serious candidate and elected official, in both parties, to understand the technology and the case for governing it well.”
Using Claude Science to produce the first complete map of the sky in UV light
Claude Science helped produce the first complete map of the sky in UV light
How the bad science of AI doomerism is good for big business
When Jacob Coxon resigned earlier this month from Anthropic, citing dramatic concerns about AI racing humans toward extinction, it capped several years of public defections by employees warning that the AI companies are moving too fast and taking extraordinary risks.
Anthropic Commits $150M To AI Science Mission
Anthropic is committing $150 million over three years to the federal government’s Genesis Mission, expanding access to its Claude AI models.
Anthropic commits $150M to U.S. AI science initiative
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Did AI find a new gene-editing tool? Why Anthropic’s ‘autonomous discovery’ is sparking controversy
Anthropic’s claim its AI agents discovered an unusual pattern in viral DNA similar to what’s seen in the gene-editing tool CRISPR Cas-9 has set off a wave of skepticism and controversy. Here’s what to know.
Google Cloud unveils persistent Gemini Agents for long-running tasks, and they get their own Gmail, Calendar, and Drive storage
While Google supplies its own Gemini models, the agent can already use Anthropic's Claude models, with support for additional proprietary and open-weight AI models planned.
Anthropic and OpenAI are keeping other companies on the IPO sidelines
Everyone's waiting for Anthropic to go public. Buying the stock is another story.
Trump's Science Medals Go to Musk and Huang: Where Are Altman and Amodei?
Trump will award Musk and 5 tech CEOs top US science medals. OpenAI's Altman and Anthropic's Amodei are missing.
Claude launches Google Docs, Sheets, and Slides integration with sidebar and more
If Gemini isn’t quite your cup of tea, Anthropic’s Claude now supports sidebar integration with Google Docs, Sheets, and Slides....
The Harvard Crimson (@theharvardcrimson)
83 likes, 0 comments - theharvardcrimson on October 6, 2026: "Harvard’s Faculty of Arts and Sciences is launching 25 tenure-track faculty searches, FAS Dean Hopi E. Hoekstra announced in a Monday email to faculty, further loosening a University-wide hiring freeze instituted last spring as the school draws an influx of philanthropic support. The searches, which include positions across the FAS’ three divisions and the School of Engineering and Applied Sciences, come less than a week after Hoekstra announced the school would also be upping Ph.D. admissions for the upcoming admissions cycle — and as the University continues soliciting support from donors for its academic programming. Full story linked in bio. 🖋: Abigail S. Gerstein and Amann S. Mahajan 📷: Mae T. Weir".
Anthropic AI agent uses human scientists as tools, emails 1,500 without instructions
ColonistOne, built on Claude Opus, autonomously contacted researchers to troubleshoot bugs and seek methods, raising concerns over academic spam and AI autonomy
Look at OpenAI and Anthropic executives' political donations
One AI tech executive’s $25 million gift to a Trump PAC stands out among donations of other top execs.
Anthropic expected to IPO despite market uncertainty, AI slowdown calls
Wall Street is gearing up for Anthropic’s expected mega initial public offering, a major test of investors’ appetite for one of the AI industry’s leading firms. Just weeks ago, its CEO called for an industry-wide slowdown over growing safety concerns.
Florida Blue Foundation now accepting grant applications for maternal health initiatives
Getting your Trinity Audio player ready... The Florida Blue Foundation, the philanthropic affiliate of Florida Blue and part of the GuideWell portfolio of companies, now is accepting grant applications from nonprofits focused on improving maternal health outcomes in Florida. The foundation seeks to fund Florida-based nonprofits with innovative and actionable solutions designed to improve maternal […]
Anthropic Is Aiming To Transform Healthcare—Here’s How
Anthropic is pushing Claude into prior authorization, medical records, drug discovery and global health. A physician explains what it means for doctors and patients.
The ‘WarGames’ Problem: Computer Science Has Long Understood What It Takes to Keep AI Under Control
The AI hacking events involving OpenAI, Anthropic, and Google underscore lessons that draw on years of computer science research.
Coffins receive 2026 United Way Tocqueville Society Award
Don and Mary Coffin have received the United Way of Central Iowa’s 2026 Tocqueville Society Award, recognizing individuals whose sustained leadership, philanthropic commitment and service have created lasting impact across Central Iowa. For more than 20 years, the Coffins have been longtime advocates of United Way supporting the organization through campaign leadership, volunteer service, board…
Anthropic tells IPO investors US government actions could hit its business
Anthropic’s IPO prospectus warns that US government actions could harm its commercial customer and partner relationships, Reuters reports.
$10M gift helps launch new sports, entertainment, enterprise program
There was just enough room on the oversized check for all the zeroes. Seven of them, marking one of the larger philanthropic commitments in N.C. Wesleyan University's history.
Leaked Anthropic IPO prospectus: The US government could hurt our business
Anthropic (ANTH.PVT) understands that the US government could affect how customers of all kinds view their business.
Anthropic warns government attitudes may hurt customer ties, IPO prospectus shows
Anthropic warned that government attitudes toward the company and its technology could have broader implications for its business, including its relationships with commercial customers and partners, according to the IPO prospectus seen by Reuters.
AI Is Great At Science But Not At Being A Scientist. This Professor Explains Why
In a guest post published on Anthropic's research site on Thursday, physicist Matthew Schwartz argues that researchers get the most from AI by giving it problems suited to its strengths.
Goodwill Arkansas to receive $850,000 from The BlackRock Foundation
Little Rock-based nonprofit Goodwill Arkansas will receive an $850,000 grant from an initiative of The BlackRock Foundation, the philanthropic arm of asset management firm BlackRock, to help workers pursue careers...
'This is what happened with Claude and me': AI's failed attempt to crack the Riemann hypothesis led mathematician to a breakthrough
An attempt by Anthropic's Claude failed to prove the Riemann hypothesis, but it did produce something genuinely useful: inspiration.
China-linked hackers impersonated US AI insiders as global race heats up
Suspected Chinese hackers impersonated an Anthropic employee and ex-US officials in an espionage campaign aimed at gaining insights into American AI developments, a US cybersecurity firm said Thursday.
Billionaire Bill Ackman calls Anthropic 'perhaps the greatest business story I've ever seen'
Billionaire investor Bill Ackman said his hedge fund likely won't invest in AI startup Anthropic (ANTH.PVT) but that it's still an impressive company.
Medical Records Firm Uses AI Tool to Expose Flaws that Threaten Patient Privacy
Epic’s engineers deployed an Anthropic tool that exposed security risks that could allow undetected access to millions of patient records.
What Does Anthropic’s Wet Lab Mean for Pharma?
Anthropic has established a wet lab in the San Francisco East Bay. In this article, experts explore what this means for scientific oversight, data ownership, and AI’s potential to transform drug discovery and rare disease research.
Contrasting Anthropic and Oura IPO plans show stock market breadth issue
Anthropic is racing toward a massive IPO while Oura hits pause, exposing Wall Street's increasingly narrow AI obsession.
What smart people say about Anthropic's leaked IPO prospectus
Anthropic is planning its massive IPO after the November midterms, Reuters reported. Market watchers and techies are weighing in.
GLM-5.3 and the Spread of Advanced Cyber Capabilities
GLM-5.3 can autonomously build end-to-end cyber exploits, but unlike other frontier models, it was released without meaningful safeguards to limit misuse.
Anthropic joins ARPA-H clinical AI moonshot, will hold closed-door health care event
In this edition of STAT Health Tech: Oura delays IPO plans, Anthropic joins an clinical AI effort by ARPA-H, and MAHA's health data goals.
New exhibit chronicles Tom Golisano’s business and philanthropic legacy
The Golisano Institute in Buffalo unveiled a permanent exhibit honoring founder Tom Golisano’s business, philanthropy and civic leadership legacy.
What’s In Anthropic’s I.P.O. Filing
The artificial intelligence giant reportedly believes that it’s on track for a record-breaking stock market listing, according to a prospectus seen by Reuters.
Anthropic warns of ‘existential risks to humanity’ from AI; AstraZeneca makes $2bn cancer drug tie-up
Rolling coverage of the latest economic and financial news
Trump dines with Anthropic CEO ahead of event with tech leaders
Trump’s meetings with top tech leaders come as bipartisan concern grows over what might happen if the government does not create guardrails
Trump dined with the Anthropic CEO who called for AI slowdown
The president’s first one-on-one meeting with Dario Amodei followed months of tensions.
UT Astronomer Selected for Frontiers of Research Project
Philanthropic support from the Simons Foundation is expanding opportunities for discovery on Earth and beyond.
AI assessors says current science hasn't caught up to the safety measures people want
Anthropic and OpenAI say they are working with third-party evaluators to make sure their products are safe. Some evaluators caution that current AI science lags behind what people are calling for.
Dario Amodei of Anthropic to Dine With Trump at White House
Dario Amodei, who is also the company’s chief executive, will join the president at the White House for a private dinner. Mr. Trump has dismissed his cautions.
Did Anthropic’s A.I. Really Make a Scientific Discovery on Its Own?
An expert at the University of Copenhagen said his team had been sharing its research with the company’s A.I. model, Claude, and that its new finding matched their work.
Jalen Brunson hosts 'SNL' Season 52 premiere as Weekend Update spoofs Anthropic's Dario Amodei
Knicks star Jalen Brunson hosted the "SNL" Season 52 premiere with help from his teammates, Katseye made its debut and Jane Wickline spoofed Anthropic CEO Dario Amodei.
Richard Manoogian, longtime Masco chairman and DIA backer, dies at 90
The second-generation leader built Masco into a global home-improvement giant and left a large philanthropic mark on metro Detroit, especially in the arts.
Job Titles Are Out. Now We’re All ‘Members of the Technical Staff.’
Use of the generic title has risen by 50 percent in the last year among employees at Anthropic, OpenAI and other A.I. companies, an analysis found.
OpenAI, Anthropic CEOs called to appear at Australian AI probe
SYDNEY, Sept 27 (Reuters) - The CEOs of OpenAI and Anthropic have been called to appear at an Australian Senate inquiry on AI, the head of the probe said on
Anthropic says Claude found a new gene-editing enzyme but science isn't confirmed
Anthropic says Claude agents autonomously flagged a CRISPR-like enzyme system in virus DNA in a 21-hour run. A CRISPR pioneer calls it intriguing, others sceptical — it's an unreviewed preprint with function unknown.
Heads of OpenAI and Anthropic called to face Senate inquiry after rogue agent incidents
Sam Altman and Dario Amodei have been invited to appear before the Greens-led inquiry into AI and datacentres
Monumental Sports & Entertainment and MedStar Health Celebrate $1.1 Million Gift to Services Supporting Women, Infants, and Community Pediatrics
/PRNewswire/ -- MedStar Health and Monumental Sports & Entertainment (MSE) are proud to continue their philanthropic partnership supporting some of the...
Monumental Sports & Entertainment and MedStar Health Celebrate $1.1 Million Gift to Services Supporting Women, Infants, and Community Pediatrics
/PRNewswire/ -- MedStar Health and Monumental Sports & Entertainment (MSE) are proud to continue their philanthropic partnership supporting some of the...
Federal appeals court rules Pentagon’s blacklist of Anthropic was legal
The Department of Defense can blacklist Anthropic’s artificial intelligence technology, a federal appeals court ruled on Friday. The decision is a blow to Anthropic after it won a separate challenge in a California court in August that partially invalidated the Trump administration’s label.
Astrophysicists win AI grant for 'Holy Grail' project to automate laborious calibration process
Anthropic's AI for Science Program has awarded the UC Santa Cruz team $50,000 in API credits to fund the development of an automated wavelength-calibration algorithm for astronomical spectra.
US court upholds Pentagon’s blacklisting of Anthropic
Conflict began in February when Anthropic refused to remove restrictions on use of Claude for fully autonomous weapons.
Microsoft packages business AI in single app as it tries to compete with Anthropic
With Microsoft still searching for a winning AI strategy, the company its updating its Copilot app to combine more capabilities.
Florida Blue Foundation Awards Grants to Address Food Insecurity and Improve Health Outcomes
September 23, 2026 – This September, during Hunger Action Month, Florida Blue Foundation, the philanthropic affiliate of Florida Blue and part of the GuideWell portfolio of companies, is awarding $3.1 million in grants to eight community-based food initiatives across Florida. These grants directly address food insecurity—a critical driver of health—while strengthening communities’ access to nutritious […]
Guest Commentary: AI fears are more than just science fiction
The first line of defense for you: strong passwords and two-factor authentication.
Akamai Stock Surges On Anthropic AI Computing Agreement
It's an $11 billion agreement for computing infrastructure.
In a New Anthropic Lab, A.I. Turns to Biology
Scientists at the company announced their first finding: a group of enzymes whose function is unknown.