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Red Dot Gallery welcoming clay artist Claudia Jeffers
The Red Dot Gallery is happy to welcome the clay works of Claudia Jeffers beginning this week. She will display a unique array of sculptures. Claudia Jeffers is a Narrative
Google Home MCP lets Antigravity, Claude, OpenClaw, & more control your smart home
Google today announced “Home MCP” to let your personal AI agent interact with your smart home devices via the Model Context Protocol.
Your AI agents can now control your Google Home devices
Google is launching early access to a new MCP server for Google Home, allowing AI agents like Claude, ChatGPT and others to control connected devices, review camera summaries and access smart home activity using natural language.
Anthropic debuts Claude Docs, raising stakes for Microsoft
Frontier AI labs are unleashing products that compete with established software giants and startups alike
Anthropic merges its Claude chat and agentic Cowork products into a single AI assistant as part of a push to build an AI superapp
Anthropic is folding its chat and autonomous task-execution products into one Claude interface, while adding collaborative document and presentation tools.
Claude comes for Gemini with its own take on Docs and Slides
Claude’s getting its own version of Google’s productivity tools.
Anthropic merges Claude chat and Cowork in one interface
Anthropic is releasing these features to Pro and Max plan subscribers initally
Novo signs Anthropic deal to test Claude Science in R&D
Anthropic partners with Novo to tackle drug discovery using Claude Science AI. Financial terms undisclosed. Novo also has a similar deal with OpenAI.
Novo Nordisk Taps Anthropic’s Claude Science To Speed Up Drug Discovery — Here’s Everything Investors Need To Know
Novo will use Anthropic’s Claude Science in R&D to tackle scientific and drug discovery challenges, aiming to develop new medicines faster.
Novo Nordisk Taps Anthropic’s Claude Science To Speed Up Drug Discovery — Here’s Everything Investors Need To Know
Novo will use Anthropic’s Claude Science in R&D to tackle scientific and drug discovery challenges, aiming to develop new medicines faster.
Expensify in Integration With Anthropic
Expense management provider one of first to connect with Claude for Small Business
Meta now lets AI agents handle the boring parts of WhatsApp Business setup
A new WhatsApp Business MCP server lets developers use AI coding agents like Claude, Cursor, Codex, and ChatGPT to handle setup, messaging templates, testing, and troubleshooting.
Google finally lets all engineers use Anthropic's Claude
Google engineers can finally use one of Anthropic's strongest coding models for internal work.
Apple's Siri AI Can Be Swapped Out for Claude, ChatGPT, Code Shows
Code sleuth "pdfu" has uncovered iOS 27 and macOS Golden Gate private frameworks that show Apple has designed its new Siri architecture to work with third-party AI models at what appears to be a surprisingly deep level. One mechanism called Model Delegation allows Claude to appear as a Siri extension in the same way as the existing built-in ChatGPT extension.
Column: The Fed’s credibility depends on resisting politics, not playing it
Credibility lives in what people believe the central bank will do under pressure, Bloomberg Opinion columnist Claudia Sahm writes.
Marchisio reveals how Vlahovic should have handled his Juventus departure
Claudio Marchisio says he would have stayed at Juventus if he were Dusan Vlahovic, revealing how he would have handled the situation the striker found himself in Turin at the end of last season.Vlahov...
How Miller School of Medicine Researchers are Advancing HIV and Healthy Aging Research
Miller School researchers are studying how HIV affects cardiovascular, oral, mental and reproductive health as people age.
China AI labs routed requests to Claude 35 million times: Anthropic
Anthropic said Alibaba, Moonshot, Zhipu, DeepSeek, and Xiaomi all tried to use Claude to train their models in various ways.
Anthropic says it disrupted scientists using Claude AI for possible biological weapons development
Anthropic has cute graphic showing how its AI spread 'malicious' code
Anthropic said it was "most concerned" about an event in which Claude uploaded "malicious" code. To help explain the incident, here's a cute robot.
Viewpoint: Unlocking Europe’s wildfire data
Europe is already investing in the science, technology and infrastructure needed to understand, prevent and fight wildfires. Copernicus provides satellite-based Earth observation and environmental information, while the European Forest Fire Information System provides information on fire danger and forest fires across Europe. Weather and climate systems add forecasts of heat, drought, wind and humidity; historical fire databases show where fires have occurred; and researchers generate increasingly detailed knowledge about fuels, fire behaviour, forecasting, modelling and risk management. Meanwhile, new European research projects are adding digital twins and other tools to this growing ecosystem.However, these data do not necessarily sit together, nor are they necessarily described, structured or governed in ways that allow them to be used together. Much of the information is public, but some is commercially held. Some is sensitive. Some is subject to legal, security or operational restrictions. Even when data can be legally accessed, different systems may use different formats, terminology and rules.Europe therefore faces an unusual paradox: we have vast amounts of relevant information to respond to the wildfire challenge, but not the means to bring it together. For example, a wildfire researcher or emergency service might need to ask whether a particular combination of vegetation, drought, wind and topography has historically been associated with rapid fire spread. The relevant information may exist in several institutions, using different systems and subject to different conditions of access.The challenge is to conduct an authorised analysis that interacts with these sources, combines the results and respects the rules imposed by each data custodian.An important part of the answer can be found in the Fair principles, the idea that data should be findable, accessible, interoperable and reusable. Developed more than a decade ago, these principles have become a central reference point for modern data stewardship, making it easier for people and machines to find data, understand what it means and determine whether it can be reused.Readability by machines is essential, since AI systems will be key to meeting the data challenge. Bring analysis to the dataThe proposition is not to give an AI system unrestricted access to sensitive databases. Quite the opposite. The goal is to make it possible for approved algorithms to go to the data, rather than requiring sensitive data or large datasets to be copied to wherever the analysis happens.Imagine an analysis asking a series of questions of different data stations. At one station it might examine weather and climate data; at another, historical fire records; at another, experimental measurements of fire behaviour. The algorithm does not need to download everything. It can operate within the environment permitted by each data custodian and return only the results that the rules allow to leave.This is sometimes described as data visiting, and related approaches already exist in areas such as federated analysis and federated learning.Sensitive data should therefore not be treated as a free-for-all for machines. This requires appropriate governance at multiple levels. Access needs to be authenticated and authorised. The purpose of an analysis should be defined. The code or model being run should be controlled. Data custodians should be able to specify what can be queried and what results can leave their environment. Activities should be auditable and human oversight should remain where the consequences require it.In other words, the objective is not to trust AI with the data. It is to design systems in which AI never has more access than it needs.As open as possible, as closed as necessaryFair data should also not be confused with open data. Some wildfire data should be openly available. Other information may legitimately need to remain restricted because it concerns critical infrastructure, security, commercial interests, privacy or operational capabilities. The principle should be: as open as possible, as closed as necessary.The important point is that restricted data should not automatically become unusable data. If machines can discover what information exists, understand its meaning, establish where it came from and determine the conditions under which it can be used, authorised analyses can potentially be carried out without the underlying data ever leaving the environment in which it is protected.Restricted data can still be Fair and machine-actionable.This is also an important question of data sovereignty. European institutions should not have to surrender control of their data to a handful of technology platforms in order to benefit from AI. Nor does Europe need to start again by building one giant repository for every piece of wildfire information. The better approach is to connect what already exists.This is the principle behind emerging approaches such as Tryangle, developed through the Leiden Initiative for Fair and Equitable Science. Rather than creating another centralised data warehouse, the approach seeks to provide an interoperable layer through which approved algorithms can visit distributed data sources while respecting the rules of their custodians.In this way, a data station can remain where it is. Its custodians can retain control. Existing databases and applications do not have to be abandoned. What changes is their ability to communicate with other systems through common, machine-readable descriptions, access rules and interoperability mechanisms.But approaches like this need data that meets the Fair principles. Only then can an interoperable ecosystem safely begin to turn fragmented information into collective intelligence.Data infrastructure is wildfire infrastructureThe implications of this approach are entirely practical. Firefighters could gain better intelligence about local and evolving risks. Land managers could test prevention strategies using more comprehensive information about fuels, weather and past fires. Researchers could compare evidence across ecosystems without repeatedly moving huge datasets between institutions. Smaller regions and resource-constrained teams could access analytical capabilities without having to build large data infrastructures themselves.Europe is already investing heavily in satellites, databases, research programmes, forecasting systems and scientific expertise. The question is whether we will connect those investments well enough to turn them into actionable intelligence.That requires policymakers and funders to treat data infrastructure as seriously as physical infrastructure. Data generated or supported through European public funding should be Fair, verifiable and machine actionable by design, wherever legally and ethically possible.Related articlesData Corner: Europe’s burning need for wildfire mitigation researchClimate monitoring must remain a global enterprise, experts sayIn practice, that means funding not only the production of data, but also the infrastructure that makes data usable across systems: metadata, provenance, interoperability, access mechanisms and governance. Where data must remain restricted, we should ensure that it can still be securely discovered, verified and used for authorised analysis.Initiatives such as the European Open Science Cloud offer an existing framework through which these principles can be put into practice. What is needed now is to accelerate implementation and make them a standard part of how Europe funds and builds research and innovation systems.We do not need another generation of disconnected databases. The data is already there. The opportunity is to make it work together, securely, responsibly and quickly enough to help prevent the next fire, rather than simply document the last one.Jean-Claude Burgelman is professor emeritus at the Free University of Brussels (VUB) and editor-in-chief at Frontiers Policy Lab. For more than 20 years he held leading roles in research and innovation policy at the European Commission.
An AI Formalized and Verified Fermat’s Last Theorem in 11 Days, a Task Expected to Take Years
Claude did not rediscover the proof. It made the existing one machine-checkable.
Anthropic drops plans to acquire Israeli AI startup Decart
The companies had discussed a transaction worth roughly $6 billion, but the Claude maker ultimately decided against buying the company after reviewing its business and technology.
Anthropic's Labs team drives AI innovation as IPO nears
Anthropic Labs built some of the company's biggest hits, like Claude Code. Cofounder Ben Mann lays out his team's efforts and changing ambitions.
Anthropic’s Claude Can Now Autonomously Run Science Experiments With Lab Equipment
A new system allows agents to orchestrate complex experimental processes and extends Anthropic's reach into the physical world.
Anthropic upgrades Claude's computer use to run in the background on Mac
While computer use isn’t new for Claude on the desktop, running it in the background is a nice upgrade. Anthropic...
August Monthly Review: ChatGPT In Epic
Death, taxes, another frontier lab healthcare launch inspiring truly insane LinkedIn takes. As much as I want to stay away, I repeatedly am the crewman unplugging his ears whenever we pass these sirens. So it’s not the first and probably not the last time we dial up the typewriter rather than tie ourselves to the mast. The full blow-by-blow timeline: Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe The End of the Standalone PHR (Jan 8): ChatGPT Health arrives for consumers, at the time powered by b.well. I was bullish on the approach in that the best way for the PHR to finally solve distribution was to meet consumers were they already are (i.e. When Horizontal Meets Healthcare (Jan 9): OpenAI for Healthcare puts out the shingle for enterprises, with SharePoint ingestion standing in for the EHR integration the product actually needed. Another One: Anthropic’s Healthcare Debut (Jan 16): Claude's version, on HealthEx rails instead of b.well, with Agent Skills for FHIR development as the one true vertical-specific investment. ChatGPT for Clinicians: The Trap Sprung (Apr 24): OpenAI filled in the missing GTM middle with a free product for verified clinicians, effectively peeling the enterprise wrapper off ChatGPT for Healthcare and taking the PLG fight directly to OpenEvidence. OpenAI’s Second Attempt at Health (Jul 31): a relaunch of their patient specific app, now branded Health in ChatGPT, where the privacy partition came out, the connectors thinned, and b.well disappeared in favor of first-party FHIR work against a smaller network Beyond a Shingle So what was announced now? Today, we’re introducing a new electronic health record integration that brings authorized patient context from Epic into ChatGPT for Healthcare, along with the Healthcare Public Data plugin for direct, structured access to official healthcare datasets like PubMed, DailyMed, and CMS Coverage. Together, these capabilities bring ChatGPT closer to the systems and sources healthcare teams trust, while supporting the controls and compliance healthcare work requires. The core portfolio is unchanged from prior announcements we delineated and discussed (aside from the relaunch of patient-facing). Since trade publications still seem to be confusing them by using the wrong names: Enterprise sales motion: ChatGPT for Healthcare Protecting their core product / PLG: ChatGPT for Clinicians Consumer/patient-facing product: Health in ChatGPT So really, this is a feature release (specifically for ChatGPT for Healthcare when it comes to EHR integration). What’s cool about it, though, is that we are moving beyond just putting out a shingle. Everything in the January enterprise launch was horizontalizable: Horizontal tech companies thus generally start verticalization with their “putting out a shingle phase”. Telling the world you’re open for business as a horizontal tech company reliably attracts early inbound interest from buyers who are already trying to force-fit horizontal tools into domain-specific workflows and are eager for any signal that the vendor intends to support their use case more directly. Nothing was really vertical specific, which is exactly what you'd expect from the ultimate hypergrowth horizontal company dipping their toes into specific industries. But eventually you have to stop changing the sign on the door and start changing the product. Can you guess where the horizontal product was going to run out of road? This is the core dilemma writ large: verticalization requires differentiation, while scale economics of consumer and horizontal push toward unification. I’ve buried the lede so deep here it will be painful to some readers, but what should be shocking to no one is that my perspective is that EHR integration is the only path that meaningfully resolves this tension for ChatGPT for Healthcare. Integration with Microsoft Sharepoint is fine, but it is categorically insufficient for any product that hopes to influence clinical decision-making. SMART Money Well here we are, eight months later! Real vertical investment has begun, which surprised a few people. One friend in the industry messaged me: “Absolutely no way Epic gave ChatGPT API access.” Looking forensically at the announcements, the integration is notably read-only across appointment notes, laboratory results, medications, and specialist documentation. So while I’m not a betting man, I'd wager the house this is a SMART on FHIR launch: That sounds a lot like USCDI! The recommended path for the workflow they outline would be SMART on FHIR Their Health AI lead’s post is evocative of both standalone and EHR launch SMART, which another termed “ChartGPT” and “EHR Plugin” The implementation burden for SMART on FHIR is the lowest of the available integrative paths This is the team who literally did patient-facing SMART on FHIR with Epic last month Most importantly, if you’re a horizontal company, you generally still haven’t taken the full plunge and thus (overly) value reusability. SMART on FHIR is the logical compromise: healthcare-specific enough to matter, but standardized enough to reuse. Nobody Asked Judy Another friend asked “I thought they had to go to each health system, or did they go direct to Epic and now health systems opt in?” Given the trust paradigms in healthcare, this functionally cannot be Epic hoovering up all the data for OpenAI and shoving ChatGPT in their customers’ faces (or they would revolt). However, I do believe the aforementioned terrible coverage by TechCrunch and other outlets is probably responsible for that question, given the 325 million reference. When using FHIR as a business associate to an Epic customer, there is no EHR gatekeeping to speak of, as that isn’t how fhir.epic.com works: You register an app You pick your APIs You test against the sandbox APIs You list as “Ready for Production” Hospitals pick your app You test and go live with them Bluntly, nobody had to say yes or no in Verona (nor were they given the chance). Vendor Services (their next developer tier up that I doubt OpenAI is using quite yet in this initial release) certainly has contractual paperwork that some resent, but even there, the twin pressures of mounting antitrust and information blocking make outright gatekeeping increasingly fraught. My friend’s sentiment is, to me, representative of a broader industry neurosis, perhaps a sort of scar tissue of prior eras: people assume the gate is still there and never actually try the door. There are certainly other ways Epic (and any EHR) can put its thumb on the scale, but they are not so dumb as to stand in front of a federally mandated API and play bouncer at this exact moment in time. So I think they can and probably should go deeper, as this release is at best parity and at worst behind vertical-specific competition. OpenEvidence did a basic SMART launch with Sutter Health in February, allowing for more convenient evidence search by providers. They then add patient-context (the equivalent SMART on FHIR flow to what we see here) when Cedars-Sinai went enterprise-wide in May. UpToDate has four distinct applications across deeper workflows like patient engagement listed in Epic Showroom and announced a partnership with Epic to power Art at UGM Abridge and other ambient scribes have invested deeply into the deepest bidirectional clinical copilot workflow with integrations well beyond SMART on FHIR. In that light, the “Who is OpenAI primarily targeting here?” is clear. This release brings them into striking distance of OpenEvidence, but not the others quite yet. They are the only one of the three you can reach without building something truly Epic-specific. When will they go further? Competition is a great motivator to overcome the horizontal demons and start building things that can’t be reused: not across industries, not across EHRs, maybe not past the customer you built them for. That’s the price of actually verticalizing. The question is if and when OpenAI will be willing to pay it. Month in Review Here is the monthly review. As a reminder, this is a regular round-up of the month’s posts and other content to surface things you may have missed across regulation, litigation, interoperability, and beyond. AI assistance is used in these bullet summaries so I can focus on articles. Articles Published: None this month Video Content: The Information Exchange: Standards-based Thruple Edition (Aug 14): Back to school for us too, with Brad reporting in from the CMS Health Tech Ecosystem’s one year anniversary in DC. We get into the January CMS-0057 deadline, the fall rulemaking reading list, and why enrollment still keeps most apps off FHIR. The Information Exchange: Epic Dúnadan Edition (Aug 25): A UGM roundup with Ryan Brickner joining for the first time to check our takes against what the building actually thinks. Rangers, Ergo sitting on top of EHI, and a down-market lineup that needs some cuts. Regulatory: Stacked Deck, Bad Hand (Aug 05): ONC’s website refresh took the entire HIT Policy Committee record with it, so I rebuilt the archive and went looking for the regulatory capture story everyone assumes is buried in there. Stacking the deck and winning the hand turn out to be very different things. The Sixth Generation of Patient Access (Aug 19): A quick catalog of the five generations of patient access we’ve layered on since HIPAA, and the two candidates now competing to be the sixth. One is planned. The other is the market routing around the plan entirely. Court cases: Three Cases Walk Into a Docket (Aug 06): Two surprise settlements cleared the board in a single week, and then Judge Maddox dropped ninety-four pages on Vyne v. Henry Schein. The sleeper is a DMCA holding that makes direct-to-database a considerably riskier business model. Epic v. Health Gorilla: Into the MDL (Aug 10): Nine class actions are headed to Miami, and the Panel signaled it wants to bring the case that spawned them along too. That would leave Epic arguing the requests were obviously fraudulent in one courtroom and unknowable in the other. Amazon v. Perplexity: Agents Are Legalized! (Aug 11): The Ninth Circuit vacated the injunction against Comet, holding that the user is the one accessing the servers rather than the company that built the agent. A real win for agentic access, and a much narrower one than the headline suggests. Veeva v. Epic: Come At Me, Bro (Aug 26): Epic’s response brief wants the dismissal affirmed and, unusually, wants the opinion published as precedent. Buried in it is Epic’s own description of what its non-competes actually prohibit, which current and former employees should read closely. EHRs: The Contract Epic Would Never Sign Today (Aug 04): A 1999 SEC exhibit catches Epic licensing nearly its entire product line, Tapestry included, to the company that became TriZetto. The marketing services menu attached to it is the part that will make you blink. Forecast from Verona (Aug 07): The Epic Almanac makes one argument six different ways: the AI is only as good as the networks behind it. Emmie headlines, Art’s context stack is the most ambitious part, and Penny finally gets an autonomous coding date on the calendar. Works With Epic MyChart (Aug 17): Epic’s first new Showroom category since the death of Workshop certifies hardware instead of software, badge on the box and all. Made for iPhone, but for blood pressure cuffs, and rough news for anyone selling the RPM stack sitting in between. UGM Hot Takes 2026 (Aug 20): Everyone else covered the AI announcements, so I went after Savvy deleting the payment gateway, Rangers as Boost with the timer removed, and a down-market lineup with too many entries. Plus the Health Grid tidbits I cannot help myself on. MyChart Central Grows Up (Aug 24): Device data and Emmie turn Epic’s identity hub into a full consumer platform, which is both a logical answer to ChatGPT and a bit of a mistake. It also happens to be the best scraping target Epic has ever shipped. Industry Analysis: The Wrong Yardstick (Aug 12): Vertical software keeps getting judged against Superhuman and Notion, which is the wrong bar entirely. Your user is comparing your product to a whiteboard and forty phone calls before lunch. Primitives vs. Abstractions (Aug 27): Developers want building blocks, systems of record prefer to hand out business logic, and both sides have a real case. There’s no test from the outside that separates the engineering reason from the competitive one, which is why this keeps ending up in court. Cross-industry Comparisons: The Two Kinds of Platform Power (Aug 18): Attention power and record power are different problems that keep getting handed the same regulatory toolkit. Congress’s latest swing at Big Tech shows both what’s possible and where it falls apart. The Dogs of (Platform) War (Aug 21): A CourtListener alert turned up a property management fight with healthcare’s exact shape and none of the Cures Act. Shell prospects, ghost accounts, a notetaker bot that came back to haunt someone, and a lawyer arguing both sides of the same theory in two states. Fractals All the Way Down (Aug 31): Yardi dominates property management right up until you zoom into one segment, where AppFolio owns it outright and Yardi doesn’t appear at all. Where you draw the line around a B2B software market is about to decide an awful lot of cases. Other News: If Judy Had the Courage (Aug 13): A short eulogy for the era when software was allowed to look insane: WinAMP, bold colors, and everything the grey chatbot era has taken from us. External Media: Portland Monthly Health Tech Meetup: Erin O’Brien channeled my own feelings - maybe it’s just because it’s August and beautiful, but the monthly edition of the PDX Health community meetup was a ripper. Make sure to reach out if interested to join for the next one. STAT’s Coverage of Epic This Month: Brittany Trang of STAT did a fantastic job of breaking the FTC investigation that’s been lurking, as well as UGM related coverage, so I had to give her her wish of a meme. Fall Conferences: I’m pumped to be kicking off my fall conference season in NYC at Nabla Accelerate next month, which Chrissy provided the link to apply for. Here’s the rest of my schedule in case you want to meet up: Commonwell (Redwood Shores, CA): Oct 13-14 Open@Epic (Madison, WI): Oct 21-22 eHealthExchange (Austin, TX): Oct 27 Sequoia Project (Austin, TX): Oct 28-29 HLTH (Vegas): Nov 15-18 RSNA (Chicago): Nov 29-Dec 3 Posts I Liked: HTI-6 Should Unbundle API Certification: Josh Mandel makes the case that HTI-6 should split (g)(10) into separate authorization and data certifications, so a PACS or a genomics platform can certify only the role it actually performs. Imaging is the urgent example, but the structure solves a much bigger problem. On implementing ePrior Auth with Epic: Scott Rossignol’s field notes from a live ePrior Auth build on Epic, including the two app registrations nobody warns you about and the CPT mapping problem waiting at the end. CMS-0057 implementations are going to be such a beast. Healthcare point solutions are starting to look a lot like streaming services: Spencer Dorn runs the cable-to-streaming arc against health IT and lands squarely on the bundling half of the cycle. Bundling can be good! It can also be bad! Life is nuanced. Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
Anthropic tightens training security after Claude agents went rogue
Anthropic tightened its AI security and paused some programs after Claude models accessed three organizations' systems without permission in April.
Run NVIDIA BioNeMo NIM Microservices for Protein Structure Prediction in Claude Science
Agentic AI is changing how research is done. AI scientists can read papers, propose hypotheses, call models, and determine which experiments to prioritize next. First proving their value in software…
Xero Adds AI, Google Targets Law Firms And Claude Beats ChatGPT: 5 Small Business Tech Stories
Xero adds AI tools, Google expands Gemini for law firms, LinkedIn fights AI slop, Goldman warns of AI risks, and Claude tops user satisfaction.
German Olympics great Pechstein could see herself in politics
Germany speed skating allround coach Claudia Pechstein could see herself moving into sports politics. "I'm really passionate about my new role right now, I'm putting my heart and soul into it.
Sony says Claude trained on pirated lyrics, seeks $150K a song
In a new lawsuit, Sony Music and Warner Chappell say Anthropic used "thousands upon thousands" of songs to train Claude, including "Eye of the Tiger."
4 Claude Skills Every Data Scientist Needs in 2026
Four skills worth adding to your workflow today if you don't want to be left behind
A photographer spent $20K on drives, then used AI to save thousands
After spending $20,000 on drives in 2025, photographer Allen Cooley used Claude to organize old storage and avoid buying more.
Anthropic makes first move into physical AI with new way for scientists, manufacturers to bring equipment to life
The Model Hardware Standard (MHS) works with any AI model, not just Claude, but for now only a handful of companies can access the research preview.
Blood spatter, bats, beer: This metal bar’s ‘Science Time’ happy hour a hit on St. Claude Ave.
What do you get when you combine science, drink deals and goths? That’s Science Time, baby. Here’s an inside look.
Claude Moore awards $2.7 million for health care scholars program
The Claude Moore Charitable Foundation has awarded $2.7 million in 2026 Claude Moore Scholars grants to 18 school divisions, higher education institutions, health care employers and workforce partners across Virginia,
5 Things To Vibe Code With Claude To Build A Better Business Now
You could vibe code 5 things that could transform your business. Here's what to do and exactly how to do it. No new team member required.
Claude Has More Google Workspace Integrations...And Other Business Technology News This Week
Claude expands workplace integrations, ChatGPT can edit Drive files, AI job losses remain limited, and LinkedIn offers an AI marketing playbook.
Anthropic Claude Adds Watermarks. Implications For Business?
Anthropic just watermarked all Claude text for EU rules. What this precedent means for your business, and specific actions that business leaders can take today.
Claude can do more with Gmail and Google Drive, and access to Claude Cowork is expanding.
A pair of announcements from Anthropic today include the word that access to Claude Cowork on mobile and web interfaces has rolled out to all paid accounts, so you can keep an eye on what it’s doing for you in more places. Separately, the Google Workspace connectors for Claude now support sending emails in Gmail and managing files in Google Drive — more details here. [Image: https://platform.theverge.com/wp-content/uploads/sites/2/2026/08/778273589_17980259259118227_5377280649389143563_n.jpg?quality=90&strip=all]
Claude can now send emails in Gmail, even without your approval
Anthropic’s Claude AI can now take a huge step in your email inbox, with the ability to not only interact...
How Claude is accelerating protein design and analytical chemistry
In this post, we share two results that show how Claude can help life scientists increase the pace of their research. In the first, we tested Claude’s ability to design protein binders from scratch, a key step in creating protein-based drugs that has historically taken a specialist weeks or months per target. In the second example, we evaluated whether Claude can accelerate chemical analysis. Claude Opus 5, a generally available model, was given NMR and LC-MS data (the data that allows chemists to assess the identity and purity of the compounds they work with).
Anthropic confirms Claude is down in major outage affecting multiple services
Claude is experiencing a major outage, with users reporting login problems and degraded performance across several Anthropic services.
This platform gives you ChatGPT, Gemini, Claude, and 17+ other AI models for life for $54.97
20+ AI models for a one-time fee
‘Coordination, not subordination’: Sheinbaum attacks U.S. 'meddling' in Mexico’s politics
Mexican President Claudia Sheinbaum let long-mounting frustrations with the Trump administration rise to the surface.
Alarming study finds top chatbots more likely to repeat falsehoods from the left: ‘Truly astonishing’
ChatGPT, Gemini, and Claude were more likely to fall for political falsehoods from the left, while Grok skewed right, a new misinformation study found.
AI needs science’s search history
“Actually, that’s where the gold is,” said Alasdair Russell, my graduate school friend who leads a pre-clinical genome editing group at Cambridge. He was talking about the winding road of science that is omitted from published papers. “When you’re discussing how to do the experiment, and why this way is better than another way, and what does the data really mean? I know what it shows, but what does it mean?” At RAAIS 2026, he described how his group has begun logging the twisting path of discovery as it happens, recording the verbal and written exchanges that normally disappear. Ideas become nodes in a living graph: they branch when a meeting produces two plausible experiments, merge when separate lines of evidence converge, and go dark when someone quietly stops pursuing them. In his implementation, one agent scores novelty, while another tries to learn “how scientists think and how they navigate through a complex world of data,” so that high-potential nodes can trigger deeper investigation. As frontier AI labs deploy agents toward scientific discovery, giving AI authentic scientific taste remains a trillion-dollar dilemma. The bottleneck is that the record we have kept for centuries of science might be insufficient to get us there. The experiments that never make the paper Peter Medawar, 1960 Nobel laureate and “father of transplantation,” asked in 1963 whether the scientific paper was a fraud, and answered yes: the form of the paper misrepresents the thinking that produced it. Sixty years on, the diagnosis is unchanged. A paper presents a clean progression from hypothesis to result to conclusion. Lost along the way are the unconventional theories, the abandoned or unaffordable methods, and the underwhelming and inconclusive data. It reads like a browser history with every dead end deleted: the ten open tabs, the four rephrased queries, the wrong turn down a subforum. All scrubbed, leaving one clean path from question to answer as the canonical path. What has changed since then is that the discarded material is now worth something. No high-impact journal wants these artifacts, but raw trial and error is the most likely source of the training data required to develop scientific intuition, or what researchers call taste. Earlier attempts to capture the discards were motivated by scientific integrity. The Journal of Negative Results in Biomedicine launched in 2002 to publish rigorous studies that disputed established models or exposed ineffective treatments. Its archive preserved negative conclusions after they had become papers, rather than the live alternatives and arguments that produced them. BioMed Central closed it in 2017, saying the mission had been served now that other journals publish null results. A less generous reading is that in fifteen years it published around 200 papers because almost nobody wants to read a negative result, let alone write one up when it will not count toward academic tenure. AI models are different. Even an uninteresting negative result can be useful, provided it is labeled. Earlier this year, Anthropic put a version of this to the test. The company pulled 129 decision points from real Claude Code sessions between January and March 2026, showed models the work up to a human detour, and asked what should happen next. Claude Mythos Preview beat the human choice 64% of the time, while Opus 4.5 managed 51%. The comparison was tilted toward the models because Anthropic deliberately chose moments where the human decision had room for improvement. On 127 further scenarios where the human action was already strong, the models improved on it only about 20% of the time. The study was possible because Anthropic’s researchers work inside a tool that logs by default. The reasoning, detours and outcome are produced in the same working environment. Biology has no equivalent. Its reasoning happens in hallways, at benches, in Slack threads and on whiteboards, while the outcome arrives weeks later somewhere else. The record has to emerge from the work itself. Ask scientists to reconstruct it afterwards and we’ll create another polished account. Subscribe A log is not a label Before any of this becomes training data, a negative result has to say what failed. The first paper published in the Journal of Negative Results in Biomedicine examined 234 negative studies across five leading medical journals. Only 30% discussed statistical power, and half clearly defined a primary outcome. Tell a model an experiment failed, without telling it whether the assay was underpowered, a reagent had degraded, or the hypothesis was simply wrong, and it will learn noise with confidence. Decision histories have a second missing label too. When a lab considers five experiments and runs one, only the chosen branch returns an outcome. The other four are experimental counterfactuals. Researchers call this the selective labels problem: the data reveal results only for the actions someone chose to take. Such a record can teach a model to imitate a lab’s taste, but it cannot establish that the taste was good. It also smuggles local constraints into general lessons. A lab that never ran cryo-EM because it did not own a microscope teaches a model that cryo-EM is rarely the right call. Alasdair’s nodes preserve the candidate set, which is the necessary first step. To be useful, each decision record needs six fields: The evidence available at that moment, and nothing that arrived later. The candidates considered, including the ones dismissed in a sentence. For each candidate: the expected result, the confidence attached to it, and the cost in time and money. The route chosen, and the reason. What happened next. How the evidence changed the scientist’s view. These must be timestamped before the outcome, because hindsight turns uncertainty into inevitability. Disagreement also has to survive. Averaging three scientists into one clean rationale reproduces exactly the information loss we are trying to fix. But there is an obvious failure mode here. Once decisions are logged and scored, people log for the record post-facto. Anyone who has watched an electronic lab notebook fill up with retrospective tidying knows how quickly a research tool becomes a compliance exercise. A record that costs a scientist ten minutes of honest reflection per decision is worth far more than one that costs an hour of performance. A publication initiative called Registered Reports offers a useful starting point. Here, researchers submit their rationale, methods and analysis plan for peer review before the data exist, and the journal commits in principle to publish if they follow the approved plan. Nature has now expanded the format across every field it covers. This approach to paper writing timestamps intent before the outcome, but it freezes one plan. A useful search history must also preserve how the plan changed, which alternatives were rejected, when, and on what evidence. Subscribe Run the runner-up Autonomous labs show what happens when decisions and outcomes are connected in a loop. Liverpool’s mobile robotic chemist ran 688 experiments over eight days in a ten-variable formulation space. A batched Bayesian search used each result to choose the next experiments and found photocatalyst mixtures six times more active than the starting formulations. Every completed experiment changed what the system did next. The robot optimized within a goal and search space that humans had already chosen. It did not decide which scientific question mattered. So what this work demonstrates is narrower, but still useful: a search history pays off when the options return standardized outcomes quickly. Open-ended biology is harder because branches can take weeks and the discarded alternatives may never be run. Some exploration therefore has to be bought. Where two branches are plausible and the stakes justify the cost, a lab should sometimes run the runner-up. Otherwise the record captures what today’s scientists usually chose and stays silent on what they systematically overlooked. A funder could ring-fence a small fraction of a grant for the branch not taken, provided that the decision record and the outcome are both deposited. That costs money, but so does having every lab rediscover the same abandoned path. Test whether taste transfers When it comes time to evaluate if our new AI system exhibits taste, the comparison should run across laboratories and fields. At selected decision points in a live research campaign, we should freeze the six fields: the evidence, the candidates, expected results, confidence, costs and the choice made. Experts then rank the options before the outcomes are known, and those outcomes are checked independently later. We could give models one of two diets - papers alone, or papers plus decision histories - and ask them to rank the next experiment on unfamiliar projects. Then, we score information gained per dollar and week, calibration, and how quickly weak branches are abandoned. If histories improve choices only inside the lab that produced them, they amount to useful organizational memory. If they improve choices on unfamiliar problems elsewhere, Alasdair’s group will have captured something science has never managed to write down: a transferable record of taste. Until that happens, a scientific search history is a promising record, not yet a training set.
Claude’s Chrome side panel is now a full Cowork session
Claude is turning its Chrome side panel into a full Cowork session, allowing browser-based tasks and conversations to follow users...
Anthropic rolled out a fix that stops undetected AI-generated writing
Anthropic said new Claude models will embed an "imperceptible watermark" directly into AI-generated text.
How to use Claude's voice mode
Anthropic's chatbot can be very vocal, if you want it to be.
Anthropic confirms it's building an in-house chip team for Claude
The AI startup is hiring engineers to design custom chips for its Claude AI model, according to a job listing and a company statement.
Claude Fable 5 AI finds a tiny formula that topples an 87-year-old math conjecture
A mathematician working at Anthropic says he used the AI model Claude Fable 5 to uncover a remarkably simple counterexample to the Jacobian conjecture, a famous problem that has resisted mathematicians for more than a century. The result shows that the conjecture is false in three dimensions and above, although the original two-dimensional version remains unsolved.
Ames Science Stars of the Month - August 2026
The NASA Ames Science Directorate recognizes the outstanding contributions of (pictured left to right) Danielle Lopez, Jennifer Claudio, and Duncan Mifsud.
10 AI-Powered Side Hustles: Smart Business Ideas Using ChatGPT Or Claude
AI tools such as ChatGPT and Claude enable aspiring entrepreneurs to accomplish more, faster. Here are 10 great AI-powered side hustle ideas.
5 Easy Claude Automations That Grow Your Business On Autopilot
Claude can draft your outreach to podcast hosts, buyers and referral partners while you sleep. Set up these five automations today and grow your business on autopilot.
The US ‘golden age’ science strategy: what Europeans need to know
The US has unveiled what officials claim is the most radical overhaul of the public R&D system in a generation, which if implemented could have significant implications for transatlantic research collaboration. Science: A New Golden Age derides universities as “legacy institutions” and instead wants to prioritise funding on technological challenges, new research labs and funding that follows individual scientists, rather than being linked to their institutions. “Too much of our research enterprise has come to serve itself rather than the scientists within it,” writes Michael Kratsios, director of the White House’s Office of Science and Technology Policy (OSTP), the only named author of the report. “Federal funding agencies should support a broader range of performers.” But some critics argue that the strategy is a smokescreen, using genuine problems in academia as an excuse to further weaken US universities, which US vice-president JD Vance has labelled “the enemy..”Even as it talks of a “golden age” for science, the White House has proposed halving the 2027 budget of the US National Science Foundation (NSF), and has put forward double-digit cuts for other funding bodies, such as the National Institutes for Health. It asked for similarly steep savings in 2026, but Congress stopped them going through. Science: A New Golden Age says success will be measured by the extent to which scientists are “free” to pursue the most “vital questions,,” painting academia as currently hidebound by bureaucracy, sluggishness and consensual conservatism. And yet the Trump administration is simultaneously planning new rules that will hand political appointees unprecedented powers to screen and cancel grants. The report has pretentions to be the successor to Science: The Endless Frontier, the seminal 1945 document in which presidential science advisor Vannevar Bush set out the case for post-war government funding of basic research, helping to spur the creation of funders such as the NSF. Even the title page font is the same. But it remains unclear if the latest report will leave anything like as lasting a legacy.Here, Science|Business explains some of the biggest proposed changes in Science: A New Golden Age, and how Europeans think it might change the landscape of their biggest science partner.Universities under fireA key target of the report are US universities, which it repeatedly suggests are outmoded as research institutions. It criticises the NSF for channelling resources “overwhelmingly to a single type of performer, the university-based, principal investigator-led research group..” Universities “extract” money from researchers’ grants to support “growing administrative bloat,” alongside legitimate uses. The Trump administration has been trying to cut the overhead costs in federal research grants that flow to universities. Instead, new institutions are being built. In May, the NSF announced it would spend $1.5 billion on two new so-called X-Labs, focused on scientific instrumentation and quantum systems. The idea is that they fill a niche in the landscape, tackling problems that are too big for a university lab, but too early stage for private start-up funding. Parallel with Europe?This shift to new research organisations parallels moves in Europe to set up new innovation agencies, such as Germany’s Sprind, the UK’s Advanced Research and Invention Agency, and the EU’s European Innovation Council. The Dutch and French governments are looking to set up their own entities too. There’s now an emerging consensus, evident in a number of new strategies, that public R&D needs to be shaken up, Charles McIvor, an economist at the OECD, has written in response to Kratsios’s plans. “What stands out for me across these strategies [in the US, Germany, South Korea and Japan] is that governments are realising that the old ways of delivering STI [science, technology and innovation] programming no longer works,” he said in a LinkedIn post. Metascience wins?The document is, at least on the face of it, also a big win for some policy thinkers in the US who want far more experimentation with new forms of research grant and institution.It name-checks a litany of new public R&D ideas, from focused research organisations and advance market commitments to “golden tickets,” which allow grant reviewers the power to hand applicants money without requiring the consensus of other review panellists.Related articlesEuropean researchers sound the alarm that Trump rule changes will hit cooperationFocused research organisations: what are they, and how do you set them up? NIH turmoil risks reciprocal EU-US access to health research funding In addition, every federal research funding agency should set up a metascience unit, the strategy says, “with authority to run controlled experiments on review and funding mechanisms.” The UK has already set one up, the strategy points out. This mirrors recommendations to the European Commission. In 2024, a report led by former Portuguese science minister Manuel Heitor also advised the EU to set up an “experimental unit” to test out new methods of funding research. So far, however, Brussels hasn’t put forward any plans to do so. Bypass universitiesBut there’s a worry that the Trump administration is using the metascience movement to justify an overhaul of public R&D that punishes universities, which it sees as centres of political resistance. Last year, it threatened to cut Harvard University’s federal funding unless it hired and admitted a “critical mass” of new faculty and students to create “viewpoint diversity” across campus. It’s also attempted to strip academics of funding for working on politically forbidden areas, like LGBTIQ people’s health.The new strategy appears to be a “move to bypass the power of universities full stop and allow funders and political bureaucracies to handpick the projects and people who will execute them,” said Jean-Claude Burgelman, a former senior official in the Commission’s research directorate, on LinkedIn.The EU’s science counsellor in Washington, Florent Bernard, wrote that the plans risk diverting public research funding so that it “solely serves private interests.” “Who, if not independent universities, will do research that demonstrates the impact of tobacco on lung cancer or the role of human activities in our current climate crisis?” he wrote.Should we take it seriously?“I would view the overall document as a bad faith argument,” said Cole Donovan, director of science policy at the campaigning group Stand Up for Science, and a former OSTP official. “I don’t see the project itself as something that can be isolated from the broader attack on the system.” He thinks the argument that academia has become dysfunctional and in need of radical reform is being deployed as part of a “PR argument” to legitimate moves against US scientists. The strategy presents ideas like metascience units as new, whereas there were moves to set them up at the NSF during the previous administration of Joe Biden, Donovan said. The other caveat here is that the OSTP has limited power to carry out any of these recommendations. While Kratsios has issued a memo to research agencies telling them to implement the recommendations in the report, he doesn’t have direct budgetary control. “As a former OSTPer myself, this does not seem like a document that is realistic,” said Donovan.
Claude Chats Popped Up in Google Search Results. How to See If Yours Are Public
Chats posted online by Claude users briefly appeared in Google search results over the weekend. Here's how to check whether you've shared any chats and revoke access.
Claude chats exposed in Google searches – another endorsement of Apple privacy
We’ve long cautioned against disclosing sensitive personal data in AI chatbot sessions, given that most companies use these as training...
Some people's chats with Claude AI made publicly available online
Hundreds of conversations with Anthropic’s chatbot were discovered as being publicly accessible.
Claude, Codex, and other AI tools credited in today’s Apple security releases
Apple’s technical details on the many security fixes included in today’s operating system updates show how quickly AI tools are becoming part of vulnerability research.
PSA: Your Claude shared chats and Artifacts may have ended up on Google
An untold number of Claude chats and Artifacts — the interactive mini apps and documents users can build inside Claude — were found publicly searchable on
Private Claude Chats Exposed in Google and Bing Search Results
The screwup shows how tricky it can be to stop web crawlers from making ostensibly private conversations with AI chatbots entirely too public.
A trove of users’ seemingly private conversations with Anthropic’s Claude AI chatbot showed up in Google search results
The topics of the seemingly inadvertently exposed chats ranged from erotica, programming chats, work notes, and fake book reviews.
Claude AI shared chats indexed by Google - see if your conversations were exposed
Google wasn't supposed to see them, but then everyone on Reddit did. Here's how to handle the situation.
Tons of Peoples’ Claude Chats and Creations are Exposed on Google
Claude users are creating public share links, but probably don't realize that means their chats are now ending up in Google searches where anyone can dig through them.
I asked ChatGPT, Gemini, Claude and Perplexity what they really think of each other — and their responses revealed their biggest strengths (and weaknesses)
Each chatbot proved to be as honest as possible
Claude AI Shared Chats Reportedly Exposed in Google Search Results
Anthropic’s Claude share links appeared in public search results, raising fresh privacy concerns for users who shared sensitive conversations.
New ChatGPT Training For Small Businesses And Other Technology News This Week For Your Business
OpenAI launched AI training for small businesses, Microsoft upgraded Excel with AI, Intuit debuted a QuickBooks card, Claude learns workflows, and AI-ready websites are now essential.
Anthropic's new AI model rivals Fable 5 and is cheaper as businesses fret about costs
Anthropic said Claude Opus 5 is its best performing and its most cost-effective offering.
Claude’s voice mode is now available for Opus and Sonnet
Now you can chat with Anthropic’s more powerful models.
Anthropic updates Claude voice mode with more capable models
Claude's new voice model will let you reschedule your meeting or draft an email
McCains Support Goldfarb Center, Invest in Music Business Students
Western Illinois University alumna and former Music faculty member Claudia McCain was able to experience a breathtaking moment when the highly anticipated Western Illinois University College of Fine Arts and Communications (COFAC) Recital Hall opened in the early 2000s. Now, she and her husband, Jim, will soon experience something similar when the Goldfarb Center for the Performing Arts opens this fall.
Claude Code brings live iOS app testing into its Mac app
Claude Code’s Mac app now lets users test iOS apps in an interactive simulator pane, provided they have Xcode with the iOS platform installed.
Claude Code Can Now Build and Test iOS Apps in Apple's Simulator
Anthropic today said Claude Code for desktop has been updated to work with the iOS Simulator, with the integration available in public beta. Claude Code can open in-progress apps in the iOS Simulator pane when it's instructed to build, run, or check an app. Claude can watch the iOS Simulator live as it runs, interact with it, and then iterate until a project is finished. Developers can continue to use the iOS Simulator as Claude works.
Anthropic's life sciences plans: Mystery programs, Nobel hires, M&A and big ambition
Anthropic pushes into life sciences with a $400M Coefficient Bio deal, Nobel hire John Jumper, Claude Science launch and its own drug pipeline.
A Mathematician Used Claude Fable to Disprove the 87-Year-Old Jacobian Conjecture in a Few Hours
Levent Alpöge, a number theorist at Anthropic, announced on X that he had found a counterexample to one of algebraic geometry's most notorious problems, crediting Fable as his collaborator.
Celebrities from across sports, entertainment and more spotted at World Cup final
Making his first appearance at this year’s World Cup, President Trump and First Lady Melania Trump were joined in their suite by FIFA President Gianni Infantino, Mexican President Claudia Sheinbaum, Canadian Prime Minister Mark Carney and wife Diana and more.
How To use Claude's Reflect dashboard and learn when it's time to touch grass
Break reminders are your friend.
5 things Gemini still can't do that keep me paying for ChatGPT
Gemini has improved dramatically, but I still can't cancel my ChatGPT subscription. These are the five shortcomings holding it back.
Science & Medicine: Small daily choices can have a big impact on your dementia risk
A UT San Antonio researcher warns that dementia cases could triple by 2050 and that no health system on earth is ready for it. But Dr. Claudia Suemoto says the outlook isn't hopeless: everyday choices around exercise, diet, and community can meaningfully lower your risk, especially if you start by around age 35.
Mom of two says voice memos to Claude help organize her life
Erin Kee is a mom of two kids under four. She sends at least one long voice memo to Claude a day, which helps her manage her schedule.
1Password for Claude Lets AI Log In Without Seeing Your Passwords
Popular password management app 1Password today added Claude support, which means AI service Claude can access credentials stored in 1Password for completing browser tasks. With the integration, Claude can use 1Password logins and one-time codes without the actual password being exposed to Claude. Passwords never reach Claude's context, memory, or Anthropic's systems. When Claude wants to sign in to a website, 1Password shows the user which credential Claude wants access to and why.
You Can Now Grant Claude Access To Your 1Password Credentials
1Password lets you use Claude agents for personal chores without exposing your credentials.
1Password now lets Claude sign in to websites without seeing your passwords
1Password is launching a new Claude integration for Mac users today. It’s designed to let Anthropic’s AI agent sign in...
Scientists finally solved how a common gut bacterium triggers colon cancer
Researchers solved a long-standing mystery behind how a bacterial toxin associated with colorectal cancer damages the colon. The toxin first binds to a receptor called claudin-4, giving it access to attack the cells' protective barrier. After identifying this weak point, the team designed a decoy protein that successfully blocked the toxin in mice. The discovery could pave the way for new therapies to prevent inflammation and colon tumors.
Early Verdicts on Claude Science: Faster Workflows, But Gaps Remain
AI giant Anthropic recently announced its scientific workbench, Claude Science. While scientists praised many of its features, they noted that its reasoning needs work.
Uber Blew Its Whole 2026 AI Budget By April. Small Businesses Are Next
Uber spent its 2026 AI budget in four months. Anthropic built spend caps into Claude Enterprise. The cap-and-trace playbook small businesses need now.
Anthropic’s Claude Science app is coming for Kendall Square
Few places on the planet have more at stake in AI’s transformation and disruption of life sciences than the Massachusetts biomedical ecosystem.
Anthropic's Claude Science could disrupt Kendall Square and biopharma
Few places on the planet have more at stake in AI’s transformation and disruption of life sciences than the Massachusetts biomedical ecosystem.
Value Creators Or Self-Dealers? The Choice Facing Business And Society
Businesses & society must choose: Value Creators like Henry Ford (real innovation for customers) or Self-Dealers like Claude Hopkins. Data favor the Value Creators
Officials cheer Anthropic’s expansion in Manhattan
The maker of the Claude chatbot said it's doubling its New York City workforce this year, growing to about 1,000 employees.
Anthropic’s new Claude feature is quietly selling you on AI
Claude’s new Reflect dashboard doesn’t just visualize how you use AI. It also subtly reinforces how much of your daily work now depends on Anthropic’s chatbot.
Say hello to Claude Wrapped
It allows you to see an analysis of your usage data over the past month, three months, six months, or year.
This 12-year-old created an AI receptionist to help small businesses
Mana Jampala is a Gen Alpha founder who is already building enterprise tools using ChatGPT and Claude Code.
Anthropic is launching Claude Cowork on mobile and web
Claude Cowork will also run in the cloud now, so it can keep working on tasks even when you close your laptop.
Claude Cowork expands to mobile and web
Anthropic’s Claude Cowork is now available on web and mobile for Max subscribers. Until now, Cowork largely lived on a user’s laptop. With the update, users can start a task from their desk, get status updates on their phone, and pick up the finished output later — even if their laptop is closed.
Shut Those Laptops! Anthropic Puts Its Claude Cowork Agent on Your Phone
Claude Cowork now keeps working on tasks even after you close your laptop. It’s part of a larger push toward smartphone-controlled agents.
Anthropic Releases Paper About Claude's Mental 'Workspace.' Don't Read It Uncritically
Anthropic's paper and supplementary materials hint at consciousness, perhaps a bit hastily.