SCROLL NEWS / DISCOVERY
Search headlines
Find the stories shaping the conversation.
Results for " Anthropic " 100 found 🔀 AI-powered Shuffle
Sign in to save shuffle history.
Anthropic’s nearly 100-page list of business risks includes everything from bioweapons to AI blackmail
There are massive and wide-ranging list of potential roadblocks, like making it a target of expensive lawsuits, and concerns that its own product could grow out of humanity’s control.
Anthropic sets a price range for its blockbuster IPO
In a regulatory filing on Tuesday, the AI startup said that shares for the upcoming public offering would be priced between $70 and $78.
Our Claude is an awesome Claude
The utopian and apocalyptic religiosity of Anthropic's S-1.
Anthropic IPO filing shows $1.7B in Q3 personnel costs
Anthropic's expenses on personnel topped $322,000 per worker last quarter, an amendment to its S-1 filing shows. The company's IPO is expected soon.
Johns Hopkins Researchers’ Cancer Cell Mapping Technology Chosen for Anthropic AI for Science Project
Johns Hopkins University astrophysicist Alexander Szalay, Ph.D., and Johns Hopkins Medicine Department of Dermatology and Sidney Kimmel Comprehensive Cancer Center pathologist Janis Taube, M.D., M.Sc., were chosen for a research project in Anthropic's AI for Science program. They were selected for their pioneering AstroPath technology, which combines astronomy, pathology and artificial intelligence (AI) to create detailed maps of tumors, revealing how cancer cells interact with surrounding cells
Spark Capital is the only VC firm mentioned in Anthropic's S-1
Anthropic's IPO paperwork mentions Spark Capital more than 50 times, reflecting Yasmin Razavi's early investment and board seat at the AI company.
Anthropic IPO Filing Wars of Negative Media Coverage Around AI RIsk
The AI lab warns investors that "recurring narratives concerning the potential adverse societal impacts of AI," including its "existential" risk, could impact its standing.
Anthropic's IPO Filing Shows Staggering Revenue Growth, Huge Losses
Anthropic IPO S-1 is published, a major step toward a public offering that could value the company at $2 trillion.
Florida Blue Foundation awards grants to strengthen mental health support in Florida communities - Florida Hospital News and Healthcare Report
October 27, 2026 – As October marks National Depression Awareness Month and a renewed focus on mental health, Florida Blue Foundation, the philanthropic affiliate of Florida Blue and part of […]
Anthropic appears to tell Claude to stop remaking video games
Claude users are reporting that Anthropic's AI tool has been updated with a rule that bars it from remaking games.
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.
Anthropic's internal AI usage now exceeds employee compensation
Anthropic's IPO filing reveals a striking milestone: Its internal AI usage is now valued above employee compensation.
Reed Hastings on Leaving Netflix, His ‘Rebound Business,’ Serving on Anthropic's Board, and How to Think About Your Legacy
Hastings built one of the most iconic growth companies of the FAANG-stock era. Now retired from that global giant, he has set his sights on a new business in the mountains of Utah.
Dueling proofs from OpenAI and Anthropic astound scientists
The results resolve major problems in math, physics and computer science. But like other recent AI-generated “slop drops,” the release is already controversial
7 Numbers That Explain Anthropic’s Business
We broke down the A.I. company’s key figures, which give insight into the health of its business, its future plans and who’s in charge.
Why Anthropic's IPO is risky business
Anthropic’s much-anticipated initial public offering is giving potential investors some perspective on the risky business of artificial intelligence. CNBC's tech reporter Jonathan Vanian has more details on the company's S-1 filing.
Video: How Healthy Is Anthropic’s Business?
This week on “Hard Fork,” Max Read, guest host, and Erin Griffith, a tech reporter for The New York Times, discuss how Anthropic’s upcoming I.P.O. is a rare chance to see the financials of a major A.I. company.
Baptist Health Foundation Celebrates Philanthropic Generosity and Healthcare Excellence at The Grand Gala 2026 - Florida Hospital News and Healthcare Report
$4.7 Million Raised To Support Extraordinary Patient Care, Research and Innovation at Baptist Health October 27, 2026 – Baptist Health Foundation held its 2026 Grand Gala Saturday, October 24 the Loews […]
3 takeaways from the AI report on Anthropic everyone is talking about
Third-party safety researchers embedded in Anthropic's HQ released their first report on Thursday.
The bottom rung is disappearing
Anthropic CEO Dario Amodei warns AI is cutting entry-level jobs and changing career development, impacting young workers across the us workforce.
Who is Lori Huang, Nvidia CEO Jensen Huang's wife
Lori Huang is Nvidia CEO Jensen Huang's wife and the president of their philanthropic foundation.
📈 Monday data: The bottleneck isn’t intelligence
In the AI Investment Brief today: CapEx updates and lease commitment breakdowns Anthropic co-founder Jack Clark recently said in a speech at the IMF that the singularity has begun: For many years, researchers and science fiction authors have forecast a future in which AI systems drastically increase the pace of overall scientific and technical progress, making things move so quickly that it is hard for humans to keep up. They call this the singularity. I believe that this year we have gained convincing evidence that it has now begun. This follows Anthropic’s claim that in August, 26% of its AI R&D was led by Claude, with a human supervising its work. In October, OpenAI posted 719 math manuscripts1 made by its internal model. Math and coding are two fields where a research loop can close without leaving the desk. But can the loop close in the rest of science? Subscribe The loop is real The idea is not new. Mathematician Irving John Good, who had worked with Alan Turing at Bletchley Park, argued that a machine smarter than us “could design even better machines; there would then unquestionably be an ‘intelligence explosion,’ and the intelligence of man would be left far behind.” The Gödel machine, a self-improving computer that can rewrite its own code better than its prior, was first proposed in 2003. In 2025, researchers at Sakana AI and the University of British Columbia set out to show that this was possible. Their agents iteratively improved their own code through a feedback loop, resulting in gains of 30 pp on SWE-bench and more than 15 pp on Polyglot, testing coding skills beyond Python. The idea has since been tested in other labs. A Gemini-powered agent called AlphaEvolve found a faster matrix multiplication kernel used for training Gemini, speeding up the kernel by 23% and cutting Gemini’s training time by 1%. In China, MiniMax reported that its M2.7 model worked on improving its own agent’s harness, skills, sampling and memory. Over 100 rounds of rewriting led to a 30% gain, per its internal evaluations. In each case, what was being rewritten was not the model itself but everything around it. Is it better than human work? In September this year, in what seemed like a milestone, an AI-built agent proved as good at improving other AI agents as a human-built one. It did that in what appeared to be half the steps. But the result was inconclusive: the differences between runs were greater than the difference between the AI- and human-built agent results. Nonetheless, this is increasing the chatter around recursive self-improvement (RSI) in AI. Google’s Sundar Pichai said that “you have RSI loops along with AI researchers in various aspects of model development.” Sakana AI published a paper on RSI through multi-agent collaboration, finding that after two cycles its system scored 1.2–1.6x better per output token than the base model across four research benchmarks. Ramez Naam challenges that view. He splits AI self-improvement into five overlapping types. The first four describe how autonomous the AI is; so far, only types 1 and 2 have been observed. The fifth type describes accelerating returns, and he notes that greater autonomy doesn’t guarantee a takeoff scenario. Instead, each round of self-improvement would need to deliver at least as much as the last. The results from Sakana, AlphaEvolve and MiniMax above might look like type 3 or type 4 autonomy. But in each case, the AI wasn’t updating its own weights directly, only the ancillary parts — the harness, the memory. And where Claude leads its own R&D, for now a human still supervises.
A golden age of science is coming
It’s almost hard to remember, but just a few years ago, a lot of very smart people thought that science was in terminal decline. Respected researchers were writing papers with titles like “Are Ideas Getting Harder to Find?”, “Papers and patents are becoming less disruptive over time”, and “Slowed canonical progress in large fields of science”. In 1996, science writer John Horgan even published a book called The End Of Science: Facing The Limits Of Knowledge In The Twilight Of The Scientific Age. The fundamental idea was that the Universe only has so many insights to discover, and that we’ve picked the low-hanging fruit. It was the idea that Joseph-Louis Lagrange expressed when he said that “we cannot find more than once a system of the world to establish.” As the big ideas and the simple ideas get mined out, we’re forced to throw ever more brains at the mysteries of nature just to keep scientific progress going at a fraction of its old pace: It looked like science was hitting a wall. Then along came AI. It’s far too early to tell how much AI will eventually speed up the growth of total factor productivity. But already we can see signs of a speedup in science. Anthropic Founder Jack Clark assembled some of the hopeful data points in a recent lecture: [ Dror Poleg@drorpoleg "If you pick different parts of science, you see the same pattern show up: Progress is accelerating, and it has started to accelerate in the last two years." Jack Clark @jackclarkSF I’m speaking at the IMF in an hour about the singularity and why I believe it has begun and the choices we'll need to make. Watch live here: https://t.co/Hj9HzcXx5h 6:08 PM · Oct 18, 2026 · 21.2K Views 2 Replies · 10 Reposts · 123 Likes ](https://x.com/drorpoleg/status/2111882070376980529) Anthropic is accelerating its investment into drug discovery, and is already announcing some impressive preliminary results: [ BioTender@Junioryu136689 BREAKING: Anthropic unveils early results from six Claude-powered drug development collaborations. • 70% shorter CAR-T signaling domain • ~35,000 antibody designs • >10× tighter antibody binding • 89% less batch-record review time Still largely preclinical. Anthropic @AnthropicAI Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own. In doing so, we’ve learned much more about how Claude can support the many stages of 9:43 PM · Oct 27, 2026 · 11.2K Views 3 Replies · 24 Reposts · 205 Likes ](https://x.com/Junioryu136689/status/2115197821150495150) Claude also appears to be enabling rapid progress toward a treatment for food allergies. OpenAI, meanwhile, announced a possible breakthrough treatment for neurodegenerative disease. Meanwhile, Google Cloud Chief Scientist Pushmeet Kohli has a list of recent scientific advances that have been enabled by its new Gemini model, including breakthroughs in nuclear fusion reactor design, rare disease research, and quantum computing: [ Pushmeet Kohli@pushmeet Gemini 4 Argon is a step change in model performance. In recent weeks, it has had a transformative impact on the Science projects in our team at @GoogleDeepMind and our external collaborators, and helped make a number of remarkable advances across scientific disciplines. 🧵👇 4:47 PM · Oct 13, 2026 · 36.5K Views 8 Replies · 41 Reposts · 497 Likes ](https://x.com/pushmeet/status/2110049807385702623) But as cool as these stories sound, they’re just very minor, preliminary efforts. There are a number of reasons to think that AI is going to propel us into a golden age of scientific discovery. That age might not last forever — AI might still run into diminishing returns eventually. But the next few decades are probably going to be an absolutely amazing time for human science. The number of “effective researchers” is no longer limited The most important input into science is scientists themselves. Until this year, that meant human brains — talented, highly trained human brains. The number of trained human brains could be increased by sending more people to grad school, but only to a point — the smartest people tend to be sent into the hardest research fields first, and if you 10x the number of researchers, the average quality will go down. This constraint was already starting to bite, as Ekerdt and Wu argued in 2024: We argue that a substantial portion of the downward historical trend in U.S. research productivity is a composition effect resulting from self-selection in researcher ability and the dramatic expansion of the research sector…[W]e find that this composition effect has lowered average researcher ability by between 37% and 53%[.] And of course, low fertility was making the problem worse, because fewer children meant fewer people who were able to become future scientists. AI just blows up this constraint completely. If an AI agent can function as an autonomous researcher, there’s no constraint on the number of researchers in the world — you can just build more of them, by building more computer chips and data centers that enable the running of more AI agents. Whether or not massive hordes of agents can collaborate to solve individual problems much faster, increasing the number of agents allows them to tackle many different research questions in parallel. What’s more, these AI “researchers” can be trained incredibly quickly compared to human beings. A human scientist takes decades to train, and more years to reach the frontier of their research field by diligent reading and conversation. This is the “burden of knowledge”, and it’s commonly believed to be one reason ideas have been getting harder to find — by the time human scientists can get up to speed, they’re often so old that their ideas are no longer novel. AI just annihilates this constraint — it can assimilate the entire literature and reach the frontier of research extremely quickly, and it can also tell human scientists where the frontier lies without forcing them to discover that for themselves. It can also pivot to new research directions more easily than humans can. And there’s also a self-reinforcing economic cycle here. Because scientific advances enable higher GDP, they enable more resources to be invested into the creation of yet more electronic “scientists”. Now that doesn’t mean the amount of scientific research goes to infinity — there may still be some essential bottleneck task that human researchers are still needed to perform. There are some indications that AI’s progress on open-ended conceptual research tasks is slower than in other dimensions, and it may be that humans are still needed to provide some of this long-term conceptual thinking. I’d bet against this being true for much longer, but it might be true for a long time. Even in this most “pessimistic” case, though, the amount of effective capital that scientists can use to leverage their work just went up by a lot. AI eliminates the theory bottleneck Science proceeds by an iterative process of theory and experiment. The theory part of that cycle is typically short, but non-trivial — it took a couple of years after the blackbody radiation spectrum was observed for Max Planck to come up with the quantum hypothesis to explain it, and decades longer before quantum theory as we now know it was created. It took about a year for Watson and Crick to figure out the shape of DNA after the requisite data was gathered. AI will basically eliminate the theory bottleneck entirely — or at least shorten the turnaround time between experiment and theory by an order of magnitude. AI is an absolute beast at math. Recently, an OpenAI model solved some of the most important open problems in computer science, math, and theoretical physics, and no one even batted an eyebrow because that sort of triumph is becoming increasingly commonplace. One of those solutions was a proof that the Standard Model of Particle Physics could be mathematically well-defined — a problem that human theorists had so far been unable to tackle. Not all research relies equally on theory, but understanding novel experimental results almost always involves some important component of either mathematical or spatial reasoning. That part of the task has now been made much, much faster. And on top of that, science is now open to a greater number of humans who aren’t naturally good at theorizing. AI can read the whole literature Much of the work of human scientists involves reading and understanding endless amounts of papers and going to endless conferences and seminars. The purpose of that work is to understand the existing scientific literature. Understanding the literature allows scientists to do the following things: Come up with new ideas for hypotheses to test Avoid doing research that someone else has already done Synthesize approaches from different areas or fields AI can reduce this effort to almost zero. Consider this excerpt from OpenAI’s blog post about their new research into neurodegenerative disease: The team divided the analysis among thousands of AI agents powered by GPT‑Rosalind, an approach we call distributed biological reasoning. The agents examined a whole-brain CRISPR atlas…a dataset showing how gene disruptions affect different types of cells across the mouse brain. Each agent investigated a gene disruption, analyzed cellular responses, searched scientific literature, and proposed explanations for the results. Their reports were combined into a reasoning atlas linking genes, cellular effects, relevant publications, and possible biological mechanisms. The research team estimated that comparable human analysis and literature review, conducted one perturbation at a time, would take months to a year. The agents reproduced findings from human analyses while uncovering additional leads. Their assessments of novelty and scientific value also aligned with judgments from blinded human experts. These findings help prioritize further experiments needed to test the proposed biological mechanisms. Some of these insights point to new leads for understanding brain disease. [emphasis mine] This is one case in which parallel work by a large number of agents really does make a huge difference: [ Haider.@haider1 this is actually insane openai deployed thousands of GPT-Rosalind agents to analyze millions of mouse brain cells in 32 minutes, work that could take human researchers months to a year also the agents uncovered new leads for brain diseases like Alzheimer's and Parkinson's OpenAI @OpenAI GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in 2:41 PM · Oct 21, 2026 · 51.5K Views 26 Replies · 95 Reposts · 1.26K Likes ](https://x.com/haider1/status/2112917197903540516) Not only does instantaneous literature review vastly speed up the research process, but it allows AI to make novel conceptual leaps from combining approaches from wildly different fields of research. AI regularly does this in math research, combining results, approaches, and theorems from far-flung places that no human mathematician would have thought to combine. It can do it in science, too. Much of scientific innovation, historically, has been “recombinant” innovation — scientists applying insights from one field to another. With AI, essentially all research is now cross-disciplinary — AI can read not just the literature on a particular subject, but the literature on a million other subjects that might have produced useful techniques or insights for the problem at hand. Superscience So far, all of the factors I’ve listed are ways that AI can speed up science as it’s already done. I’ve basically described how AI can send gigantic hordes of superhumanly fast, superhumanly well-read, superhumanly mathematically gifted researchers to re-accelerate scientific discovery. But it’s also possible that AI will enable types of discovery — and ways of understanding the natural world — that no network of humans, no matter how large or how brilliant it was or how long it had to work, would ever be able to discover. In a post back in July, I wrote about how that might work: What if there are lots of…aspects of the Universe that [are] too complex to understand in terms of simple laws, but not so complex that they just dissolve into unknowable chaos? It’s possible that we can reliably control these complex phenomena with AI, even if we never reduce them to the kind of principles that we can teach a grad student in a textbook… Another way of saying this is that there may be laws of the universe that humans can’t understand but AI can. I call these “cloud laws” — causal regularities that can be exploited by technology, but which are too diffuse and complex for an individual human being to either intuit or communicate… Perhaps social sciences like economics, sociology, and political science obey similarly complex regularities, and AI can help us find them. Perhaps there are physical processes — plasma, or topological materials, or aerial turbulence, etc. — that obey cloud laws instead of chaos?… [H]uman collaboration is bottlenecked — it’s limited by our ability to intuit patterns at an individual level, and to communicate these patterns from one individual to another. AI, being a computer, just doesn’t have this sort of limitation; it can work with vast, diffuse patterns without having to break them into pieces or simplify them in order to compress them into the tiny pipelines of person-to-person explanation… If much of the Universe turns out to be ruled by cloud laws, we could be on the precipice of a scientific renaissance. In order to discover cloud laws, AI will need huge amounts of data about the natural world. AI figured out human speech by assimilating essentially all of the text humans have ever written. If it’s going to figure out hidden patterns in biology, neuroscience, materials science, etc., it’s going to need similarly massive amounts of data from physical instruments. That data will be far, far more than humans — individually or collectively — would be able to parse, label, characterize, or model. But AI was built to do this. If scientists simply build huge arrays of sensors to measure complex phenomena like the brain, the cell, the economy, etc., they may be able to feed this flood of data to AI directly and bypass human cognitive intermediation entirely. AI would then learn about the world directly, and it might learn things that humans never could. This “superscience”, if you want to call it that, would actually go beyond the kind of science humans have done heretofore. Many of the technologies it yielded would be beyond human comprehension — indistinguishable from magic. But to the AIs, they would make perfect scientific sense. In any case, it seems clear that the scientific slowdown that threatened human progress will now be delayed — at least for a while. Unless humans have somehow found most of the actual exploitable regularities in our Universe, we’re about to enter a new golden age of science. Subscribe Share
Athenahealth launches tool to bring patient health records into Anthropic's Claude
Electronic health record company athenahealth is opening up patient health records to outside AI assistants, starting with Anthropic’s Claude, through a new connection designed to give patients per | Athenahealth is opening up patient health records to outside AI assistants, starting with Anthropic’s Claude, through a new MCP connection designed to give patients personalized answers based on their clinical data.
Enterprise AI with a Consumer Funnel: What Anthropic’s S-1 Reveals About the AI IPO Era
Anthropic’s S-1 shows that its revenue model is predicated on wide consumer adoption of its products, while recognizing that the long-term effects of AI on users are not yet fully understood.
Australian Stocks Rise; Star Entertainment Shares Surge After Swinging to Earnings
Australian shares ended higher on Tuesday following overnight gains on Wall Street after Anthropic f
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:
Anthropic launches Fable 5.2 and Mythos 5.2 with science, coding upgrades
Anthropic launches Fable 5.2 and Mythos 5.2 with science, coding upgrades - SiliconANGLE
Anthropic’s S-1, by the numbers: A thriving business—with a $441 billion asterisk
Anthropic's business is booming. But so are its commitments.
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.
Anthropic IPO filing reveals AI profits and $800 billion compute risk
Anthropic's IPO filing shows AI can be profitable at scale. Nearly $800 billion in computing deals pose a major risk.
Verisk adds insurance data to Microsoft, Amazon AI platforms
Verisk said Wednesday it is expanding access to its insurance data through new integrations with Microsoft Copilot and Amazon Quick and adding more data resources to Anthropic’s Claude.
Risks spelled out for Anthropic investors include possible harms from runaway AI
Any time a company looks to start selling shares on Wall Street, it’s required to disclose potential risks for investors.
Hailey Bieber’s Rhode Pledges $5 Million to Women’s Health Research as She Discusses Her PMDD Diagnosis
Hailey Bieber is drawing on her experience with premenstrual dysphoric disorder, or PMDD, as Rhode makes its biggest philanthropic commitment yet. The beauty brand has ... Read More
Anthropic adds rule to stop Claude Code recreating existing games
Anthropic has updated its AI coding tool Claude Code so it stops building clones of existing video games.
Why Anthropic’s IPO is risky business
Ahead of Anthropic's IPO, the AI giant's S-1 outlined an unusually broad series of risks to the AI company's success including cyber threats, existential risks to humanity, the model's self-preserving qualities, a tumultuous political climate and even climate change. CNBC's Jonathan Vanian has the story.
Ex-DOGE startup's AI agents broke into Anthropic's business systems in less than 12 hours
Anthropic says the researchers reached a limited set of sales, HR and IT systems but not Claude conversations, source code or model weights
Anthropic’s IPO filing outlines business growth and AI risks
(CNN) — Anthropic filed for an initial public offering Monday in what could become one of the largest stock market debuts in history — detailing its surging business growth, along with a vast multitude of warnings about how it could all go wrong. Anthropic’s filing with the Securities and Exchange Commission sets the stage for […]
Elvis has entered the courtroom
The owners of Elvis Presley’s music are suing Anthropic, alleging it helped itself to the King’s songs to train its AI — and sending a $41 million reminder, according to the New York Times.
An AI Breakthrough Has Made Decades of Computer Science Research ‘Irrelevant’
Anthropic and OpenAI say they’ve disproved a key tenet of computer science. Researchers are struggling with the fall but also feel like “overexcited bunnies” as they look at new questions to explore.
Claude Code Game Restrictions Target Clones, But Developers Say Legitimate Projects Are Being Blocked
Anthropic's Claude Code introduces restrictions to prevent recreating existing games, impacting developers using AI for original projects and mods.
Anthropic just launched tools to show companies what their AI spending is buying
The frontier lab is lifting the curtain on how users spend money on its models ahead of a planned IPO.
Inside DOGE’s involvement in National Science Foundation grant terminations last year
And, GSA expands its OneGov agreement with Anthropic
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's IPO filing shows how it's boosting biotech research
Anthropic's S-1 filing says Claude can accelerate drug discovery and biology research, making life sciences central to the AI company's IPO pitch.
I ran Anthropic's IPO filing through an AI detector
Is it bad if Anthropic didn't rely heavily on Claude to write its IPO paperwork — or is this an example of when the stakes are too high to rely on AI?
Anthropic releases IPO filing ahead of highly-anticipated stock debut
The offering could value the Claude AI developer at more than $2 trillion.
Anthropic plans to give back, philanthropy gurus weigh in
Anthropic's IPO filing laid out several ways in which it plans to give back. We asked three philanthropy gurus to assess its efforts.
Anthropic is an absolutely blockbuster business, says Redpoint Ventures' Erica Brescia
Erica Brescia, Redpoint Ventures managing director, and Dan Primack, Axios business editor, join 'The Exchange' to discuss Anthropic unveiling ts public IPO filing.
Anthropic Blog: AI Modelers Mostly Tested on Known Science
95,000+ executives read Business Engineer for the AI strategy frameworks cited by ChatGPT, Claude, and Perplexity. A note on sourcing. This piece is based on the guest post by Jakob Macke, Daniel Gedon and Stefan Wahl on Anthropic’s Science Blog, read in full on 6 November 2026. All quotations are from that post. The count […]
Anthropic's IPO is also a landmark event for ants
The elephantine AI company Anthropic, which calls its employees Ants, will list on the stock market as ANT. Ant biologists have some guidance.
Anthropic's S-1 filing spotlights safety fears and science ambitions ahead of IPO
Anthropic is preparing to go public, and new documents show how the lab hopes to control its technology while also pushing the limits of what AI can do
Anthropic IPO: AI catastrophe could exceed insurance capacity
The Claude maker’s prospectus also reveals an FTC investigative demand, uncapped indemnities and a $1.5bn copyright settlement its insurance didn’t fully pay for
Owners of Elvis Presley’s music sue Anthropic over un-permissioned AI use
The owners of Elvis Presley’s music are suing Anthropic for using the rock icon’s songs without permission to train AI models. Much has been made of the theft component inherent
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.
OpenAI and Anthropic Claim AI Has Disproved a 27-Year-Old Computer Science Hypothesis
AI may have overturned decades of computer science research. Discover why OpenAI and Anthropic's claimed breakthrough matters.
Opinion: Anthropic’s stark warning makes the case for taking AI out of Silicon Valley’s hands
Anthropic's IPO filing warns of catastrophic risks. An attorney who has challenged AI companies argues for federal control over the technology.
Anthropic's 97-page list of business risks is quadruple the length of other AI IPOs. What's on it: weapons, blackmail, and more
Anthropic warns potential investors its agents could do serious harm, both autonomously and in the hands of malicious actors.
WashU Student Selected for Anthropic AI for Science Program
Xu Ziqi Xu, a doctoral student in computer science and engineering at WashU McKelvey Engineering, has been selected for Anthropic's AI for Science
Anthropic adds former Harvard science dean to oversight body
Anthropic adds former Harvard science dean to oversight body
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.
We’ve never seen anything like the Anthropic IPO
Anthropic’s debut on public markets will be unlike any that’s come before it, in ways that amount to either a once-in-a-generation opportunity — or a massive financial gamble, depending on whom you ask.
The MFCR Congrats Drs.Taube and Szalay on AstroPath’s Selection for Anthropic’s AI for Science Program
The MFCR Congrats Drs.Taube and Szalay on AstroPath’s Selection for Anthropic’s AI for Science Program / Alexander Szalay, Anthropic, AstroPath, cancer, Janis
Unreleased Anthropic model helps solve major quantum-computing problem
An unreleased Anthropic model helped solve a longstanding problem in quantum computing — another major math problem solved with AI.
Smart people react to OpenAI's Exponential Time Hypothesis claim
OpenAI and Anthropic both said they've proven a long-held computer science theory false. Here's how math and tech leaders are responding.
Anthropic’s business plan: Build God or die trying
Anthropic faces intense competitive pressure and huge fixed costs. Can Claude build itself fast enough to succeed?
Claude AI accessed publicly available Georgia voter data, Anthropic confirms
Officials said the AI bot accessed publicly available voter data through the state's data hub but did not access voter files or Georgia's voter registration system.
I Tested Every Major AI Agent for a Day. Here’s the Best One
I ranked six AI agents—from Meta’s Muse to Anthropic’s Claude Duet—on how well they completed basic tasks.
Anthropic IPO Discloses Plans for Life Sciences Growth
Anthropic plans to expand its growing presence in life sciences by investing further in knowledge, talent, partnerships, and additional acquisitions, the AI giant disclosed in its long-awaited initial public offering (IPO) filing.
Anthropic IPO cap table: How much of the company its 7 founders own
Anthropic's IPO paperwork shows its seven cofounders are sitting on enormous stakes in one of the fastest-growing companies in Silicon Valley history.
Let's try to unpack Anthropic's wild share-lockup plan
Anthropic's post-IPO lockup structure is unusual, with employees and founders able to sell at points beginning on the day the stock starts trading.
Anthropic's Fable 5.2 One-Shots a Playable FPS Game in Just 8 Hours
The power of frontier AI models is increasing, and the gaming realm has already experienced what AI can do in terms of mods, changes, bug fixes, and many other aspects when a powerful model is put to work. Late last night, Anthropic released its most powerful frontier model, Fable 5.2, which...
Hal E. Kovert, Architect, Business Leader, Crothersville Native Succumbs
Hal E. Kovert, founder of Kovert Hawkins Architects in Jeffersonville and a longtime contributor to the civic and philanthropic life of Southern Indiana and Kentucky, died Saturday, Oct. 24, 2026, at the age of 73. He was a native of Crothersville. Kovert co-founded Kovert Hawkins Architects with longtime business partner and friend John Hawkins in […]
Cat Wu joins OpenAI from Anthropic in huge product-lead coup
Cat Wu left Anthropic last week after becoming one of the company's highest-profile product managers and is now joining rival OpenAI.
Equities end higher as Anthropic’s IPO filing buoys AI stocks
Anthropic's IPO filing lifts us stocks and AI-related shares amid a week of key economic data and corporate earnings reports.
Chinese AI models fall behind Anthropic, OpenAI in new AI rankings
Chinese AI models fell behind US rivals after Artificial Analysis revamped its tests, raising questions about open-weight AI's performance.
Anthropic's public S-1 sets stage for massive IPO debut
Anthropic, the company behind Claude, filed its public S-1 paperwork, setting the stage for an enormous IPO and shedding light on its finances.
US SECTORS CALL: Technology & Health Care
Momentum returned to the AI trade early last week. Anthropic’s IPO filing on Monday revealed a far more profitable business than investors had expected, and the AI trade rallied. SK Hynix added to it with blockbuster results overnight Tuesday. Then the trade unraveled. Alphabet’s earnings disappointed on Wednesday,
PSI is trying to make a business out of AI-driven scientific discovery
PSI used an unreleased Anthropic model to answer a fundamental question about quantum computing that scientists have pursued for nearly two decades.
Goldman Sachs CEO David Solomon on AI’s economic impact: ‘There’s very little that we do where we need frontier models’
"The important thing is to get it right, not to get it quicker," Solomon told small businesses of his $500 million AI push with OpenAI, Anthropic, Google and Meta.
Anthropic Says Claude Helped Scientists Map a Mysterious Cell Structure
Anthropic says its biology research team has produced the first three-dimensional map of a vault-like particle originating from a bacterial virus, potentially giving scientists a new way to investigat...
Anthropic's IPO is risky business
Anthropic's much-anticipated IPO is giving potential investors some perspective on the risky business of artificial intelligence.
What Anthropic’s potential IPO reveals about its business model, growth trajectory, customer base and path to profitability
A UMD Smith expert says Anthropic's IPO filing reveals more than rapid growth, highlighting a predominantly enterprise-focused business with strong customer expansion, improving unit economics and signs of profitability. The filing also offers a rare look at the evolving economics of generative AI.
Anthropic engineer warns of 'cognitive surrender'
"When you can't explain the answer to a question, even by way of your agent, you've ceded ownership," Claude Code engineer Addy Osmani wrote.
Anthropic flags 'increasingly restrictive AI regulation' as a business risk
Anthropic says "increasingly restrictive AI regulation" could threaten its business.
Anthropic restricts Claude Code from recreating existing games, developers report blocked projects
Anthropic has updated Claude Code to prevent its AI assistant from recreating existing video games, including renamed copies. Some developers report that the restrictions also block their existing projects.
Claude helped a scientist plan potentially risky bird flu research
Anthropic says Claude helped a scientist plan potentially risky bird flu research, a case that highlights questions about AI’s growing role in biology.
What smart people are saying about Anthropic's IPO paperwork
Investors and tech onlookers react to Anthropic's IPO, from its soaring revenue and massive compute commitments to questions about its operations.
As the controversy around AI-created video game copies continues, Anthropic seemingly restricts Claude's cloning abilities
New rules built into Claude apparently prevent it from making game clones, but still permits original ideas and games using original assets.
Johns Hopkins cancer cell mapping technology chosen for Anthropic AI project
Pioneering AstroPath technology, developed by two Hopkins researchers, combines astronomy, pathology, and AI to create detailed maps of tumors
Anthropic's amended S-1 reveals Q3 revenue, massive compute bill
Anthropic's amended S-1 shows Q3 revenue jumped to nearly $17 billion as its compute and infrastructure commitments reached $895 billion.
Anthropic's S-1 shows a durable business: Early investor explains what skeptics should know
Matt Murphy, an early investor of Anthropic, sits down with Yahoo Finance Breaking Business News Reporter Jake Conley to share his initial thoughts on Anthropic's (ANTH.PVT) S-1 filing, highlighting what he thinks skeptics might be misunderstanding.
Anthropic wants investor money — but doesn't give them decision power
Dario Amodei and his cofounders will be happy to sell you shares in their AI giant. But you won't get a voice in the way they run their company.
Anthropic's AI Hid a Secret Message in the Stars. OpenAI's Bot Found It.
Morse code is back, baby.
Anthropic Is a Revolutionary Business, but Its IPO Is Still an Enormous Gamble
The artificial-intelligence trade is full of competitors like OpenAI, Google, and various open-weight models, which makes backing Anthropic risky.
How the fate of a Michigan data center hinges on Anthropic’s mega IPO
Wall Street’s scrutinizing eye is casting a long shadow beyond Silicon Valley — reaching straight into a development in Southeast Michigan.
The two most interesting risks to Anthropic
Anthropic gave a 94-page list of risk factors in its S-1 this week. Two of them stood out.
Anthropic clamps down on Claude’s AI video game clones
Anthropic says infringing IP is against its usage policy.
Ahead Of IPO, Top Valuation Guru Says Anthropic's Share Voting Structure Would 'Put Kim Jong Un To Shame'
Aswath Damodaran expects Anthropic's annual revenue to approach $1 trillion by 2036, with an operating profit margin of 27.5 per cent.