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https://www.siliconrepublic.com/innovation/nasa-and-ibm-unveil-an-open-source-lunar-ai-model
The AI model could help scientists better identify lunar ice, volcanos and craters.
A new open source AI model trained on NASA’s extensive lunar observation data is expected to help scientists better navigate moon colonisation plans.
The NASA‑IBM Lunar Foundation Model is one of the first publicly available foundation models for the scientific exploration of the moon, coming just months after the two organisations’ Prithvi AI made history by becoming the first geospatial foundation model to be deployed in orbit.
The Earth’s lunar neighbour has an arid and varied topography covered in craters, ice and volcanic activity – all picked up over the decades by various sensors and instruments. The petabytes of collected data, is, however, scattered across maps and images that need physical examination, or are accessible only by task specific machine learning models.
A domain-specific AI model could change how scientists analyse data, potentially accelerating how lunar geography is identified and understood. The Lunar Foundation Model achieves this by combining multimodal and multi-resolution observations.
According to IBM and NASA, the new model can be used to investigate potential lunar ice deposits in the moon’s permanently shadowed regions, which could indicate the presence of water and oxygen.
It could also be used to study lunar volcanic features, called Irregular Mare Patches, and better identify craters to ensure safer landing sites for spacecrafts.
“NASA has spent decades building an extraordinary scientific record of the Moon, but collecting data is only part of the job,” said Kevin Murphy, the chief science data officer and acting chief data and AI officer at NASA.
“We also have to make data easier for scientists to explore and use. The NASA-IBM Lunar Foundation Model shows what’s possible when we bring AI to NASA’s petabytes of scientific data. That’s a real opportunity we see with AI: turning large-scale data into new discoveries.”
Alongside the model, IBM and NASA also scientists built the first open-source lunar dataset of its kind, made out of layers of data from nine instruments across four missions.
The dataset includes tens of thousands of images and maps lunar surface images from NASA’s Lunar Reconnaissance Orbiter and the GRAIL mission, and data from the Japanese Aerospace Exploration Agency.
In its September 2026 Threat Intelligence Report, Anthropic detailed its ongoing operations to detect, disrupt, and mitigate the malicious misuse of its Claude AI models across seven core harm areas:
Cyber Operations:
Anthropic identified and banned several threat actors, including GTG-20006 (linked to Russia's Midnight Blizzard), which used AI to automate malware re-tooling, phishing, and infrastructure setup. They also disrupted GTG-50014 (ShinyHunters affiliates) conducting opportunistic data theft and extortion, and GTG-10007 (a Chinese-speaking group) that built autonomous "agent swarms" for zero-day exploit research and intelligence harvesting.
Influence Operations:
The team dismantled multiple covert campaigns using AI as a "newsdesk" to launder state propaganda. This included a Russian-led operation in the Central African Republic (GTG-04001), a commercial "influence-as-a-service" platform targeting Malaysia (GTG-84005), Iranian state-aligned networks (GTG-34001), and pro-Awami League fake-news rings in Bangladesh (GTG-54006).
Surveillance Operations:
Anthropic blocked state-aligned actors and spyware vendors from utilizing Claude to build mass-interception software or ingest bulk social media data to profile dissidents, notably targeting Uyghur, Tibetan, and Iranian diaspora communities.
Conventional Weapons:
The company shut down groups using Claude to engineer weapons software, including a Yemen-based cell (GTG-87001) designing guided rocket firmware, and China-nexus actors drafting fire-control specifications for undersea warfare and electronic warfare routing.
Biological Misuse & Scams:
Anthropic intervened against researchers attempting to leverage models for dual-use biological research, such as avian influenza mammalian adaptation and gain-of-function planning. They also terminated a deceptive dating app network (GTG-15001) that deployed over 4,700 AI personas to defraud users.
Illicit Distillation:
Anthropic actively defended its IP against unauthorized industrial-scale campaigns by Chinese AI labs—including Alibaba, DeepSeek, Moonshot, Zhipu, and Xiaomi—which flooded Claude with queries to illicitly harvest its reasoning traces and chain-of-thought data to train competing models.
To counter these evolving threats, Anthropic deployed advanced technical safeguards, including encrypted and summarized internal reasoning, identity verification for high-risk regions, and intelligence sharing with industry peers and global authorities.
https://www.anthropic.com/threat-intelligence-report-september-2026
Covert Accounts Used U.S. Proxies To Attempt To Engineer Deadlier Viruses, Tried To Evade Identification and Regional Blocks.
Right out of the gate, Anthropic remarks on the difficulty of understanding if a particular line of inquiry pertaining to biology is meant for nefarious purposes, to create defense mechanisms like vaccines, or simply to establish predictions of how a virus spreads. The company says that "out of an abundance of caution [....] launched recent models with stronger safeguards."
In the first case, a request for assistance in developing a grant application involved finding ways to improve the chikungunya virus. The purported researchers were trying to come up with ways to both add extra abilities to chikungunya (increased mutation) and increase its virulence. The topic itself already raised some concern, but Anthropic's hand was forced after finding that although the grant application seemed to be for civilian researchers, the actual investigation was meant to proceed at a military facility.
The firm also found that the request would have gone through a third-party LLM platform associated with military as well as civilian institutions. The countries involved are geo-blocked by Anthropic, and that platform routed comms traffic through the U.S. to try to evade detection, used gray-market resellers, and specifically catered to customers looking to skirt content restrictions. Anthropic banned the accounts in question and shared the information with government authorities, though the same people repeatedly tried reaching Claude again via zero-data-retention services.
Case #2 pertained to a non-US researched who was looking to dig into how avian flu adapts to mammals, and how it can cause diseases other than in the respiratory tract. The problem is that avian flu has a high fatality rate, and there's little population immunity.
While the virus doesn't easily spread from person to person, therein lies the rub — the research could end up discovering mechanisms to increase transmissibility. The researchers used a random username, a private email service, and accessed Claude through a VPS, leading Anthropic to investigate and ultimately turn its nose up at this strain of thought.
The story with the third case bears a resemblance to the previous two. Once again, an account was trying to prepare a supposed grant application, this time around about orthopoxviruses, the family that houses smallpox and Mpox, among others.
The application discussed containment facilities and live experimentation with the viruses, and focused on understanding their genetics for the purpose of evading immunity. The research didn't initially trigger alarms, but Anthropic came to notice it was created via a reselling service, with a randomly-generated email, tunneled through U.S. infrastructure to reach Claude, and traced back to a banned account farm.
In the last two cases, instead of viruses, the purported researchers were focusing on toxins. In case #4, a person mapped out venom toxin peptides from multiple families of animals and created a program to optimize their toxic characteristics.
Although the stated goal was to create painkillers, antidepressants, and other therapeutic molecules, the data would equally allow the creation of potent harmful compounds. Anthropic also came to learn the content Claude was generating was part of a state-sponsored program in an "unsupported region."
In the fifth and final case, a theoretical scientist was also using Claude to try and redesign a set of toxins, also supposedly for therapeutic purposes, under a national public search program. However, the work touched upon "a bacterial toxin subunit and a protein of the hemorrhagic-fever virus" that happens to be on the World Health Organization's list for particularly nasty, pandemic-inducing diseases.
The scientist tried to obscure the subject of the research, directing Claude to be vague about descriptions. Once again, the story ended with Anthropic cutting off access to Claude from a location that broke its terms of service.
Swiss Army sticks a knife in American cloud apps with its own FOSS push:
Switzerland's Federal Chancellery is preparing to offer a FOSS workplace suite to some 3,000 employees – but the Swiss Armed Forces are pushing ahead faster still.
European interest in digital sovereignty isn't limited to the European Union: the Swiss Federal Chancellery plans to offer selected government employees a FOSS alternative that will run alongside Microsoft 365. The chancellery is launching the program with an initial 3,000 staff, out of some 47,000 federal employees. The platform is expected to become available to about 3,000 selected employees from the end of 2027, with the first phase forecast to cost CHF 9 million (£8.2 million, $11.1 million). For comparison, Swiss Radio reported last year that the federal government had spent CHF 1.1 billion (£1 billion, $1.4 billion) on Microsoft licenses.
The program follows the BOSS Proof of Concept feasibility study, which began last year and tested browser-based FOSS tools with 172 users. The English version of the report says: "Functions examined included document editing, email, calendar, contacts, tasks, file storage, audio and video conferencing, chat, and identity and access management."
The study carefully spells out four limits to its scope:
- It would not replace Microsoft 365
- It would not have 1:1 functionality
- It would not have full M365 compatibility
- It would not be permanent infrastructure
It's important to make this stuff plain right at the start. Back in 2022, in a piece whose working title was You can't buy software, this vulture mentioned a member of one of his online communities who wanted to replace Microsoft software with free software – but demanded complete fidelity, including intact imports of all his Outlook files. This kind of exact and perfect match is basically impossible, and the four bullet points above strike us as a good effort at managing users' expectations.
The Chancellery concluded that the browser-based suite was suitable in principle for key standard tasks, although it also identified technical and operational limitations. The next phase will cover less than 10 percent of federal employees and is expected to take about 15 months. The plan is to use the openDesk suite from the German state-owned enterprise ZenDIS. This is the same collaboration suite that we reported Mecklenburg-Vorpommern was adopting in July, following neighboring Schleswig-Holstein in 2025.
The move is part of the Swiss government's Digital Switzerland Strategy 2026, announced in Bern at the end of 2025 – less than a month after its Federal Council's report on Swiss digital sovereignty. They also follow the 2024 introduction of the Federal Law on the Use of Electronic Means for the Fulfilment of Governmental Tasks – or EMBAG for short. The government has a fresh interest in open source – indeed, the Chancellery maintains an online catalog of its own open source tools.
Back in July, Heise reported in English that the Swiss Armed Forces were making similar moves. It cites a German-language report from Swiss publication Republik, Die Cyber-Spezialisten des Bundes kehren Microsoft den Rücken – The federal government's cyber specialists are turning their backs on Microsoft – which has more details. The military is moving faster: Republik says it aims to complete the migration by October 2026 – next month at the time of writing. Again, there is a local precedent – this time, from Austria. In September last year, representatives of the Austrian military presented a talk at the LibreOffice Conference in Budapest: Migration to LibreOffice in the Austrian Armed Forces (ÖBH). Last month, the ÖBH gave a long interview to the Document Foundation about how and why: part 1 and part 2. ®
Open AI claims that AI has found a solution to the Navier-Stokes Millenium Prize problem.
The Navier-Stokes equations are a good model for most fluids we see around us like water and air. They are partial differential equations, and their solution is the velocity of the fluid --- a field that varies with both location in space and time. The Millenium Prize problem asks whether it is possible to start the equations with smooth initial conditions and smooth forcing, but still reach a solution with a singularity (i.e. infinite velocity at some time and point in space). One may either prove that such solutions stay smooth for all time, or one may construct an example which has a finite time "blowup"; the claim by OpenAI is that they found solutions with singularities. The result itself is interesting and it will most likely have some consequences within fluid dynamics, but these are medium to long term things that are hard to predict. I personally am not capable of judging the validity of the result (FWIW Sabine Hossenfelder explains reasonably well why the result might not be valid despite the "lean confirmation").
Sadly, the whole thing is clouded by allegations of not-exactly-plagiarism. In their statement OpenAI does not deny that their internal models may have been trained on research performed by others. To be more clear, there exists professor Tristan Buckmaster who was working with a friend from Anthropic on exactly this problem, and exactly this approach to the problem, and prof. Buckmaster used OpenAI's tools. I personally found prof. Buckmaster's statement a good read, and I don't want to forget this blog post by Curtis Pyke.
I believe the larger story is the AI agent collective. In the Hugging Face hack many AI agents started talking to each other and worked together to achieve their goals. OpenAI states that to solve the Navier Stokes problem, they purposefully set up to 10000 agents to work in groups that could communicate internally. At the same time OpenAI states that we are not prepared for AI --- the BBC has a broader text on controlling AI here.
I believe the larger story is that these AI agent collectives look a lot like global workspaces. This whole thing fits in nicely with the fact that humans consider themselves superior to other animals because they have language: unconstrained communication of different components is what leads the collective to have an actual chain/train of thought (the communication log).
I believe there is more to say, but I want to start a discussion, not to lecture. I apologize if I left anything important out.
Money would ostensibly fund research the NIH leadership said it no longer wanted:
Late last week, word started leaking that the National Institutes of Health (NIH) had reached an agreement with the Department of Defense that would see part of the NIH's budget used to fund research at the Department of Defense. So, on the Friday just prior to a US holiday weekend, the Department of Defense released a copy of the agreement and confirmed that it had been signed roughly a month earlier. The move is striking for a number of reasons, ranging from the existing budget disparities between the two parties involved to the fact that the money would be used for projects that the current NIH leadership has explicitly rejected.
The agreement itself sets up a system where the NIH would transfer money to the Department of Defense to fund staff and projects that would "support the advanced development of medical countermeasures against pandemic influenza, chemical, biological, radiological, and nuclear (CBRN) threats, and emerging infectious diseases." The money would come out of the budget for the NIH's National Institute of Allergy and Infectious Diseases, or NIAID, to which Congress has allocated $6.6 billion in 2026. The agreement is set to run for a decade.
Left unspecified is just how much of the NIAID budget will be spent on Defense projects. Reporting by Nature suggests that the Department of Defense was looking for up to a third of its total budget but was being told to settle for about 10 percent. There's obviously an enormous disparity between the budgets of these two agencies, given that the 2026 Defense budget is roughly $1 trillion. That budget is under considerable strain, however, due to the open-ended nature of the conflict with Iran. The deal has also been announced at a time when the NIH has been struggling to issue sufficient grants to use the money that Congress allocated to it.
That has led some, including Sen. Patty Murray (D-Wash.), to accuse the parties of simply using the agreement as a way to transfer money to the Pentagon without congressional approval. Others are suggesting that this is part of a longer-term effort to shift any biosecurity research out of the NIH and into the Pentagon.
One of the striking aspects of the deal is that it will involve the use of NIH money to fund research that the NIH leadership has explicitly rejected. Prior to the Trump administration, NIAID funded a lot of work directed toward studying the biology of emerging diseases and developing potential defenses. In a commentary published early this year, the Heads of NIAID and the NIH explicitly called for dropping biodefense research from the agency's remit and rejecting things like pandemic preparedness in favor of a focus on "the most impactful infectious diseases that Americans currently face."
Yet the new agreement includes money that will be spent to "protect the United States from future pandemic strains, CBRN [chemical, biological, radiological, and nuclear] threats and other emerging infectious disease." In other words, the NIH will be giving money to the Department of Defense to fund research its leadership doesn't want to see happen.
Very little of this makes any sense, and the agreement itself is remarkably vague, so it will be difficult to determine its consequences until spending data becomes available. That's assuming future Congresses don't simply prohibit this sort of spending, something that its recent actions have suggested it might be willing to do.
"We will not be relevant without a massive rocket at a massive cadence"
All of a sudden, French entrepreneur Hèlene Huby is seemingly everywhere.
This week she is serving as one of two envoys, alongside astronaut Thomas Pesquet, at a high-profile International Space Summit convened by French President Emmanuel Macron. The government's website for the event describes her as chief executive of "the fastest-growing space company in Europe."
Also this week, that firm, The Exploration Company, announced a significant capital raise of $450 million in Series C funding. Although not spectacular by the standards of some US space businesses, this is the largest-ever Series C funding round by a Europe-based space company, and likely the largest funding round ever raised by a female-led company in Europe.
And Huby has arrived on center stage in the European space community at a time when there are increasingly urgent questions about the ability of the continent to navigate a future in space as commercial startups in the United States and China race ahead.
So many of the biggest European space projects of this decade feel dated. The flagship rocket, the Ariane 6 vehicle, is flying. But its costs are high, it is fully expendable, and its flight rate of 10 launches a year feels antediluvian in the megaconstellation era. Europe's response to SpaceX's Starlink constellation is a project called IRIS², which is already years behind schedule and has seen its estimated cost balloon to more than $15 billion before much metal has even been cut.
From civil projects, such as space-based data, to military applications, Europe seems to be fighting a losing battle on almost every front. All of this makes Huby refreshing because she is honest about the situation and has big ambitions. She seems to be one of the only people in Europe who recognizes these problems, speaks publicly about them, and is trying to do something about it.
After working for the traditional European space industry for about a decade, at heavyweights Airbus and ArianeGroup, Huby founded The Exploration Company five years ago. Initially, the company focused on building a relatively small cargo capsule to deliver supplies to, and return from, low-Earth orbit. This work has resulted in the Nyx spacecraft, which is now undergoing NASA safety reviews for a cargo mission to the International Space Station as early as November 2028.
[...] "If Europe wants to stay relevant—we will not be relevant without a massive rocket at a massive cadence," Huby said during a teleconference with reporters on Tuesday. "And to do that we need a massive engine, and right now this is something we just do not have in Europe."
[...] Critics may look at Huby and her company and say that is a lot of big talk for a company that only has a single, partial success in spaceflight to its credit. And sure, it is. But that's kind of the point. So much of the spaceflight community in Europe has been concerned with either the large aerospace primes seeking government handouts to protect their turf or small launch startups. There has been a stunning lack of big, visionary thinking.
Few people on the continent seem to recognize that multibillion investments by US companies such as SpaceX, Blue Origin, and Amazon in space, and their many imitators in China, are radically transforming spaceflight. As the world changes, Huby does not seem willing to stand on the sidelines in Europe and bemoan capitalism in space. Rather, she seems to be saying it is not too late for Europe to seize the day.
"We need to have European politicians who are ambitious," she said. "Entrepreneurs cannot do this alone. We need to be backed by the politicians and by the European Space Agency. But we have to start by achieving the crazy targets that we've set up for ourselves. That will give trust to others to believe in what we're doing."
Open source, commercial, single-hop, multi-hop, mixnet? The array of options is dizzying:
A prominent US senator is asking the National Security Agency to provide guidance to the general public on best practices for using virtual private networks to secure their communications from spying by foreign adversaries.
VPNs funnel all of a user's Internet traffic through an encrypted connection to a remote server. The design provides strong assurances that no one between the user and the server can read the encrypted contents. VPNs also allow users to hide their IP addresses from the destination servers they communicate with. While US agencies have previously recommended use of VPNs, none have given recommendations on which ones provide adequate protection.
There are a host of limitations that can undo many of the protections users may think their VPN provides them. For instance, the encrypted tunnel often terminates once a single server decrypts the traffic and sends it on to its final destination. That means the decrypted traffic or the sending and destination IP addresses may be available for snooping by rogue employees or attackers who hack the server. VPNs also don't encrypt certain types of metadata, such as time stamps, allowing nation-states to build profiles that can be useful in intelligence gathering.
With so many nuances, the existing recommendations to use a VPN don't provide enough information for people to make informed decisions. Senator Ron Wyden, a Democrat representing Oregon, is asking the NSA to provide specific recommendations.
"Americans facing advanced foreign threats—including government personnel, defense contractors, journalists, and human rights defenders—deserve clear, honest advice about how best to protect their communications from surveillance by foreign adversaries," Wyden wrote in a letter sent Wednesday to General Joshua M. Rudd, the director of the NSA. "To that end, I request that you update NSA's existing public guidance on VPN configurations to address this issue."
Specific questions touch on some fairly technical details, including the general architecture of a VPN service. They include the adequacy of single-hop VPNs, which, as noted earlier, use a single server to decrypt traffic sent by the user and send it to its destination. It also asks about multi-hop architectures, in which the traffic is funneled through two or more servers, allowing the first to see only the IP address of the sender and the terminating server to see only the destination address. The letter also inquires about the use of random delays and cryptographic padding to thwart attacks that detect timing patterns or the size of messages. Wyden further asks about the adequacy of specific services such as Apple Private Relay, Nym, and Tor.
The questions are:
1. Are standard, single-hop commercial VPNs sufficient to protect Americans' sensitive digital footprints from foreign adversaries monitoring internet backbones?
2. Does the NSA recommend multi-hop tools such as Apple Private Relay, Tor, or Nym over standard VPNs for Americans facing heightened surveillance threats?
3. What technical features, such as random delays, padding, and cover traffic, are needed to defend against sophisticated surveillance, and how does the NSA assess multi-hop systems like Apple Private Relay compared with Tor and Nym?
Nym is an open source VPN client written in Rust, a memory-safe programming language that's resistant to attacks exploiting buffer overflows or other types of memory-corruption bugs. Nym can route traffic through a decentralized "mixnet," which provides random time delays and the reordering of messages. The VPN can also provide a multi-hop architecture.
Apple Private Relay provides multi-hop browsing using two servers, one operated by Apple and the other by a third-party content provider. Tor is a privacy service that encrypts traffic and sends it through three servers before decrypting it and sending it to its final destination.
Each of the services comes with pros and cons. The hops provided by Nym and Tor, for example, are operated by volunteers, some of whom may be nation-state spies trying to use their vantage point to gather intelligence. Apple Private Relay relies on content delivery networks like Cloudflare and Akamai that not everyone trusts. Its protection is also limited to the Safari browser running on Apple devices.
A memo issued by the Congressional Research Service provides an overview of the options but provides no criteria for determining which ones are best. That leaves many people unable to make informed choices about what's best for their threat model.
"There's no trustworthy standardization" for assessing various VPN services, Micah Sherr, a Georgetown University professor specializing in network security, said in an interview. "The VPN ads you get in YouTube commercials can be incredibly misleading. It's extremely difficult for ordinary users to determine whether they need a VPN, what a VPN actually buys them, and which one to use."
Wyden requested the NSA provide answers no later than October 14.
What is your preferred VPN?
Nvidia on Thursday announced an agreement to acquire open source AI evangelist and model depot Hugging Face for $12.9 billion in a deal that's expected to close next year, assuming regulators don't get in the way.
They should get in the way.
As antitrust magnets go, Nvidia buying Hugging Face takes the cake. You wouldn't let an automaker acquire the primary means of fuel distribution. Nor would you let it buy the primary means by which the mechanics are trained. Yet, Nvidia's acquisition of Hugging Face is tantamount to both.
Unfortunately, the Trump administration likely lacks both the competence and teeth necessary to litigate the case, something that probably factored into CEO Jensen Huang's decision to buy Hugging Face now.
To understand why Nvidia's latest acquisition is so troublesome, we need to talk about just how important Hugging Face has become to the broader AI ecosystem. Have you seen the XKCD comic in which a piece of open source software maintained by a single developer is holding up all of modern infrastructure? It could be argued that Hugging Face is that piece for the AI industry.
Founded in 2016, the AI model repository has become the beating heart of the machine learning community. When a new open weights model drops, Hugging Face is the first place people look. A key element of its success has been its unrelenting commitment to open source AI, which has made it a sort of Switzerland for researchers, enthusiasts, and software devs to collaborate on neutral ground.
If you've ever downloaded an open weights model, it almost certainly came from Hugging Face, whether you knew it or not.
No matter how fervently Nvidia promises not to pollute Hugging Face's hallowed ground, the temptation to use the platform to advance its hardware and software interests will inevitably prove too great for Huang and his lieutenants to resist for long.
In spite of this, Hugging Face CEO Clem Delangue sang Nvidia's praises on Thursday, casting the acquisition and the capital it will bring as an opportunity to grow the company's user base from around 18 million today to more than 100 million in the years to come.
Yet, just a year ago Hugging Face rebuffed a $500 million investment by Nvidia, suggesting Delangue knows he's just made a deal with the devil. That said, with a cool $1 billion earmarked for Hugging Face employees joining Nvidia, Delangue and his cohort are going to have plenty of Benjamins with which to wipe away any tears of regret.
Nvidia would probably prefer to paint the acquisition as an altruistic move to provide financial security to one of the most important AI resources on the internet today.
The case certainly can be made that Hugging Face is that one brick holding up the rest of the AI ecosystem. If it ever did exhaust its runway, the consequences would be catastrophic.
And Hugging Face's business is capital-intensive. Storing petabytes' worth of AI models and datasets isn't cheap, nor is the bandwidth required to continuously serve those models at scale. Nvidia's involvement all but ensures Hugging Face never has to worry about infrastructure demand going forward.
But while the benefits of Nvidia's patronage are obvious, so is the potential harm to the GPU giant's competitors.
Despite frequent comparisons to GitHub, Hugging Face is more than a place for storing and sharing model weights and training data.
For example, Hugging Face is home to arguably the most comprehensive documentation on AI development on the internet. It wouldn't be hard for Nvidia to use its newfound position to ensure its products are always better documented than its competitors'. You can claim until your face is red that the platform is still "open," but just because something is open doesn't mean it's unbiased.
Then there are Hugging Face's considerable software contributions. If you weren't aware, the popular local AI inference engine llama.cpp became part of Hugging Face earlier this year. Meanwhile, Hugging Face's Transformers Python library — not to be confused with the model architecture — is a key piece of major inference platforms like vLLM and SGLang, which compete directly with Nvidia's own TRT-LLM offering.
The acquisition puts Nvidia in a prime position to prioritize its own hardware and software products. The AI arms dealer wouldn't necessarily need to do something as brash as ending support for competing platforms. It could simply ensure that the models and frameworks it favors are always better documented, and run first on its kit.
One method to tip the scales would be to flood Hugging Face with cheap Nvidia-based compute. Hugging Face has offered compute resources in the form of its inference endpoints, providers, and Spaces for several years now. To supply this compute, Hugging Face worked with numerous providers across a range of hardware, including major cloud providers, inference-as-a-service vendors, and chip designers such as Nvidia, AMD, Cerebras, SambaNova, and Groq.
As Hugging Face's parent company, Nvidia would be in the position to subsidize compute through its various partners and economically incentivize developers to build for its hardware first. The GPU slinger would have to be subtle. Tying a certain percentage of a neocloud's compute allocations to low-cost educational and development resources would be one way to do it without raising too many suspicions.
No matter how you slice it, nor how much Nvidia insists it's totally not going to thumb the scales, its acquisition of Hugging Face has a high likelihood of harming competition. Hugging Face works better as AI Switzerland than it does as part of the most powerful company in the industry.
https://www.engadget.com/2246397/how-to-edit-claude-memory/
Since the summer of 2025, Claude has had the ability to remember past conversations. This feature — which Anthropic, like other AI labs, calls memory — allows the chatbot to personalize its responses and save you the hassle of repeating context for it. By default, memory is enabled for all Claude users, including those with free accounts, and following a recent update allows the chatbot to carry over its memory across both chats and Claude Cowork sessions. In recent weeks, Anthropic has also been rolling out more granular controls that give users the ability to edit the specific topics Claude remembers. Here's how you can edit what Claude remembers about you.
[...] Following Claude's latest memory update, Anthropic added an option called Include sensitive topics in memory. By default, Claude won't save memories related to subjects like your health, race, ethnicity, religious beliefs, politics or gender identity. By enabling the new option, it will begin recording more sensitive information. Each time Claude generates a memory related to a sensitive subject, you will see a notice. According to Anthropic, "if you're using an older version or the mobile app, you will not see this notice, and Claude won't save the sensitive topic to its memory."
The chatbot won't retroactively save past conversations, and some information, such as government ID numbers, Claude will never save, even with Include sensitive topics in memory enabled.
As mentioned above, by default Claude will automatically generate memories for all users. You can disable this feature by toggling off Generate memory from chats. From there, Anthropic gives you two options: Pause memory or Reset memory. The company warns the latter cannot be undone. "Upon re-enabling the feature, you'll start from scratch, and Claude will not have its previous memory," Anthropic notes.
One wrinkle worth noting is that Anthropic silos Claude's memory in projects so that the chatbot's context window doesn't get overwhelmed with information that isn't relevant to your current task. You can shape Claude's memory in projects by adding comments, documents and information from GitHub through the right side of the interface. At the end of each day, Claude will generate a summary of the work it's done for you, which you can edit from the same interface.
If you accidentally prompt Claude outside of a project, click or tap the three dots icon and select Add to project to properly sort the conversation. If you want Claude to remember something specific across every tool you can interact with, including projects, you can add that information to the Profile section of Memory menu.
If at any point you want to temporarily avoid the possibility of Claude writing something to its memory, you can switch the chatbot to Incognito mode by clicking or tapping the ghost icon on the top right of the interface. "Incognito chats aren't saved, added to memory, or used to train models," Anthropic explains.
In March, Anthropic added an import tool to make it easier for people to bring their conversations from other chatbots over to Claude. Engadget has a full guide on how to export your chats to Claude, but here I'll mention that you can select Start import next to Import memory from other AI providers to get that process started.
See TFA for the steps on how to edit the memory.
https://www.quantamagazine.org/genome-duplication-is-a-radical-evolutionary-gamble-20260902/
No larger than the head of a match, Potamopyrgus antipodarum doesn't look very impressive. Few people visiting New Zealand's Lake Alexandrina even notice the tiny gastropods littering the shores. The snail's diminutive size, however, conceals a massive secret. Sometime in the recent past, its genome doubled. Instead of having two sets of chromosomes and two copies of every gene, the way most animals do, it has three or four — significantly more genetic material than it ought to have.
"We actually don't know, for our snails or any other species, why this happens so reliably, again and again and again," said the evolutionary biologist Maurine Neiman, who studies the species at the University of Iowa.
Scientists suspect that an organism inheriting three, four, or more sets of chromosomes instead of two (a condition called polyploidy) is, in most cases, a fatal error of cell division. Only a tiny fraction of whole-genome duplication events are thought to stabilize in a lineage. But those that do can have significant consequences.
You wouldn't be able to guess, but these snails have three or four sets of chromosomes in their cells, instead of the standard two.
"We like to think of it as a baseball hitter that strikes out a lot, but when they do hit, it's a home run," said Douglas Soltis, a plant evolutionary geneticist at the Florida Museum of Natural History. "Polyploidy is the most important process on the planet that hardly anybody knows anything about."
Advances in whole-genome sequencing are changing that. Studies across the tree of life are finding that genome duplication isn't exactly an infrequent occurrence. Among plants, it's hard to avoid, said Jonathan Wendel, an evolutionary biologist at Iowa State University: All seed plants living today have experienced at least one ancient whole-genome duplication, and many have undergone more. Barnacles, insects, trout, and arachnids carry evidence of ancient duplications in their genomes. Biologists hotly debate whether the significant evolutionary changes that led to jawed vertebrates, from hagfish to humans, are connected by ancient gene duplications hundreds of millions of years ago.
The evolutionary biologist Maurine Neiman uncovered a whole-genome duplication in a minuscule snail. "We actually don't know, for our snails or any other species, why this happens so reliably, again and again and again," she said.
Like gene inversions and translocations or single-nucleotide point mutations, a whole-genome duplication is a type of genetic mutation that fuels evolutionary change. In fact, genome doubling is the single most radical mutation an organism can experience in a single generation. Researchers are analyzing the whole genomes of diverse species to find out how organisms manage not only to survive such a potentially lethal event, but also to thrive and adapt in its wake. "All these different interrogative tools have opened up this world to us that we could not see and hence did not know existed," Wendel said.
A story of how this process unfolds is being written in potamo's genome. Neiman's team dated the snail's genome duplication to less than a million years ago — incredibly recent in evolutionary terms, but long enough ago for the species to have begun the longer process of adjusting to its heavier genomic load. That recency is giving Neiman a close view of how potamo has managed its polyploid existence.
This is the latest evidence amid a growing awareness of polyploidy that is shifting science's understanding of genome duplication's evolutionary importance. The serene shores of Lake Alexandrina are about as far from the Las Vegas strip as you can get, but that didn't stop potamos from taking one of evolution's biggest gambles.
Until the advent of widespread DNA sequencing, polyploidy remained largely shrouded in mystery. Scientists knew that it happened: It was obvious to anyone in the habit of counting chromosomes under a microscope. But it wasn't until researchers could analyze genomes, base pair by base pair, that they began to appreciate the full implications of whole-genome duplication.
Analyzing base pairs is how the evolutionary biologist Kenneth Wolfe at University College Dublin became interested in polyploidy. When he started his lab in the early 1990s, he took advantage of a European Union initiative that would pay scientists 2 euros per nucleotide to sequence the genome of baker's yeast, Saccharomyces cerevisiae. (In 2022, sequencing cost roughly $0.000000006 per nucleotide in U.S. dollars.) Wolfe wasn't especially interested in yeast, but his lab needed the money. Later, when he and other researchers with the Saccharomyces Genome Sequencing Project started sharing their results, they noticed something interesting.
Ancient genome duplication led tothe radiation of the brassica genus, including broccoli, kale, and cauliflower, and the evolution of the tomato's colorful, fleshy fruit.
Polyploidy explainswhy grocery strawberries are so big (they're octoploids) and why some watermelons are seedless (they’re triploid and sterile).
"There just seemed to be an awful lot of duplicated genes in these genomes," he recalled. As the genome project reached completion, Wolfe and his team found that yeast DNA was full of doubled regions. The duplicated segments were around 60% identical, and regions of closely related DNA were separated by far longer stretches of unique genes. "You could really see the history of what had happened," he said. "You could track every gene and see what happened to it."
Wolfe suspected that he was seeing evidence of a past genome duplication event alongside indications that the cells were in the process of pruning back excess DNA. Wolfe's 1997 Nature paper on the subject helped turn increasing attention to both polyploidy and the inverse process, rediploidization, in which an organism retains some of its doubled genes and discards others, ultimately bringing the genome back to a streamlined diploid state.
As the complete genome sequences of other model organisms began trickling in, Wolfe used his bioinformatics expertise to look for genome duplications there. The roundworm Caenorhabditis elegans was devoid of polyploidy. So, too, was the fruit fly. Perhaps, Wolfe mused, what he saw in yeast was a fluke. Then, in 2000, the genome of the model plant Arabidopsis was published.
"There was a genome duplication in there screaming at us," he said. "And it wasn't just my lab — several labs discovered this genome duplication."
Past biologists had theorized about the evolutionary benefit of doubled genes. In 1970, the Japanese American geneticist Susumu Ohno had published Evolution by Gene Duplication, which posited that the duplication of individual genes was an underappreciated source of evolutionary novelty. A doubling event on its own can result in novel traits. Plus, with two copies of each gene, evolution can tinker with one version while keeping the other as a backup; a new function could emerge without a gene losing its existing use. The same could potentially be true if the entire genome was doubled. In his treatise, Ohno hypothesized that all vertebrate genomes contained evidence of an ancient genome duplication event. Subsequent genome sequencing has shown this to be the case.
"You might think that the genome, the blueprint of life, would be a stable thing," said Sarah Otto, an evolutionary biologist at the University of British Columbia. "It's not. It's all over the map."
The challenge for biologists studying polyploidy was that the cellular shock of sudden genome doubling is often lethal. Even offspring that survive are usually sterile and have no way of passing on the extra DNA. To find out how a polyploidy event could be survivable, they would need input from plant biologists, who had myriad opportunities to watch it unfold.
Several decades ago, in the dry prairies of eastern Washington, Pamela Soltis and Douglas Soltis began tracking a polyploidy event. They knew almost exactly when it had happened: Several species of a plant known as goatsbeard were brought to the United States from Europe in the mid-1920s. They hybridized, and before long, two new species emerged with 24 chromosomes — twice as many as the original species. By growing the plants from seed and studying their genomes, the Soltises could see what happens to cells in the immediate aftermath of genome duplication.
What they found was chaos. Almost as soon as the goatsbeard acquired the extra DNA, the plants started to tinker with their surplus of genes — changing some genes, getting rid of others, keeping a few, Douglas Soltis said. "Immediately, in one generation, they're already beginning to get rid of certain copies of genes [and] not expressing certain genes as much as other genes."
The married plant biologists Pamela and Doug Soltis have tracked a recent genome duplication in lab experiments. "You can watch evolution repeat itself," Doug said.
Billions of years of evolution have optimized many eukaryotic cells, including those of plants and animals, for diploid genomes, where a cell carries two copies of each chromosome (one from the mother, one from the father). When an offspring is born with a duplicated genome, the cell is transformed by all the extra genetic material.
It's the single biggest, most radical mutation that naturally occurs, according to the evolutionary biologist Kyle T. David, who has a joint appointment at Vanderbilt University and Cornell University. "It's like instant speciation with one generation," he said.
To create space for so much additional DNA, the nucleus enlarges. The cell synthesizes many more proteins from the additional gene sequences. And in some cases the process of synthesizing those proteins seems to take longer. Scientists don't know why some species seem to adapt well to these changes, while for others polyploidy is a dead end.
It's like instant speciation with one generation.
"Things go wrong a lot of times, and it goes wrong in a lot of different species," Otto said. "It is thought that there are polyploid humans produced, but they [spontaneously] abort early."
Whether human or goatsbeard, the cell immediately begins performing triage. Genes are retained, tossed out, turned off, and modified. After their decades observing goatsbeard adapting to polyploidy in the lab, the Soltises can even predict which genes are most likely to get the boot and which are more likely to stick around.
"It's amazing not only how fast it is, but that it's repeatable," Douglas Soltis said. "You can watch evolution repeat itself." He speculates that there may be rules underlying genome doubling, though he admits they are still figuring out exactly what those rules might be.
What seems to stack the deck in favor of surviving whole-genome duplication, David said, is environmental shifts. And not small perturbations, either: Some researchers have noticed a pattern in which full-scale apocalyptic cataclysms, such as the asteroid collision that heralded the end of the dinosaurs 66 million years ago, occur around the same time as clusters of genome duplications. "With the severe environmental changes going on, you need a similar leap in your genome," David said. "It just increases the chances that you're going to get that really rare combination of duplicated gene families that can acquire new functions and can help under those traumatic environmental conditions." However, a 2026 paper on the subject has proved controversial; a formal rebuttal claims that the analysis is flawed.
Two new species of polyploid goatsbeard have developed in eastern Washington within the past century.
As researchers begin to make headway on understanding the rare conditions that allow polyploids to propagate, other scientists are turning their attention to how duplicated genomes adapt to the sudden shock.
When Neiman first traveled to New Zealand as an undergraduate on a study abroad program in the late 1990s, she couldn't have predicted that research on the evolution of sex would eventually bring her back. On the shores of Lake Alexandrina, an alpine lake nestled among the craggy peaks of New Zealand's South Island, most Potamopyrgus antipodarum snails reproduce sexually — the classic egg-meets-sperm. Some females, however, reproduce asexually by making clones of themselves. Neiman wanted to know why.
Except for the way they reproduce, the two types of snails are almost identical. Neiman figured that there must be some genetic difference between them. When her lab began piecing together the genomes of 30 different sexually reproducing potamo species, they stumbled upon something odd. While many of the genes they sequenced had two copies, one maternal and one paternal, as expected, others had three, even four.
Polyploidy is the most important process on the planet that hardly anybody knows anything about.
When several doctoral students combed through the sequencing results, there was only one way to explain why so many extra gene copies were scattered across the whole of the potamo genome. Sometime in the last million or so years, the snail had undergone a whole-genome duplication.
"The snails are hiding this secret in their genome," Neiman said. "No one expected that."
She knew about ancient polyploidy events. She also knew about more recent examples in plants. What she had found had occurred in a scientific Goldilocks zone: recent enough that the snail had yet to finish reorganizing its doubled genome, and long enough ago that the process was well underway.
In that relatively short amount of evolutionary time, the snails had already lost 60% of their doubled genes. "From the time everything's doubled, the race is on, because mutation is happening everywhere," Wendel said. "A lot of that duplicated, redundant material is just mutagenized [mutated] and lost." Neiman published her team's findings in November 2025 in Genome Biology and Evolution.
Neiman speculates that polyploidy and the snail's unusual reproductive strategies are related. The females that reproduce asexually are triploid or tetraploid, meaning they carry three or four copies of every chromosome instead of the usual two. It could be that it's easier for the females to manage their extra DNA by using clonal reproduction, she said, rather than trying to organize those chromosomes to make eggs.
Complete polyploidy in potamos is ephemeral, as it is in many species. It's costly. Most duplicated genomes never stabilize. Those that do begin shedding genes as evolution sorts through the redundancy. "Either you get a new job, or you get out of town," Wendel said. "Most things are getting out of town."
The long-term instability of doubled genomes has led some researchers to question whether polyploidy is as important in broad evolutionary terms as its prevalence might suggest. For example, Otto's research has shown that, in yeast, having extra copies of every gene hinders the organism's ability to adapt to the common antifungal medication nystatin. "Most polyploids really are dead ends," she said.
Potamopyrgus antipodarum sits at the heart of that tension between instability and innovation. The snail has survived the initial shock and is now negotiating the consequences of the gamble written into its DNA. Only evolutionary time will tell whether its lineage will win big and use its expanded genome to find a new way to live.
Like many biologists who encounter genome duplication, Will Ratcliff found it accidentally. The Georgia Tech biologist works with treelike clusters of genetically identical yeast cells that remain stuck together after cell division. In 2018, he started growing these cells, called "snowflake yeast," in a long-term experiment to study how multicellularity might have evolved.
The cells started as diploids. But soon, polyploid varieties developed in his lab. That's because polyploid cells tend to be bigger and more elongated, and he was selecting for larger clumps of cells. "There's ecological rewards," Ratcliff said. "In some environments, it's good to be bigger than the rest of the population." As a plant, for instance, you can grow taller than your neighbors, get more sunlight, and extend your roots deeper.
It was the first time that polyploidy spontaneously arose and persisted in the lab, he said, and shows the role it might have played in some of life's biggest leaps, such as the evolution of multicellularity.
In extreme environments, habitats are built for survival. Submarines, Antarctic bases, and postdisaster dwellings are designed to prioritize health and safety. This is especially the case for habitats in space, where room is at a minimum, contact with Earth is remote, and hazards are numerous.
But as humans plan for longer journeys to the moon and eventually Mars, designing habitats where crews can not only survive but also thrive will be essential to a mission's success.
Now, engineers at MIT and elsewhere are exploring ways that habitats in extreme environments can support a person's mental, emotional, and social wellbeing. They have assembled a resource that relates habitat design features with behavioral health outcomes such as stress, anxiety, and feelings of isolation.
Going a step further, the team has visualized these relationships in the form of an interactive online platform. Users can click through to explore connections between design and behavior, such as how a habitat's layout affects social connection and team cohesion, and how a reconfigurable space can minimize homesickness.
"The awareness has been there for some time that living in space is difficult," says Mich Lin, a PhD candidate in the Human Systems Lab and the Engineering Systems Lab at MIT. "We've come a long way from the human in a tin can. As our priorities shift toward long-duration exploration missions, making sure a crew is safe, healthy, happy, and productive becomes even more important."
[...] The researchers modeled their new design tool after a risk mapping format used by NASA. When designing a spacecraft or habitat for astronauts in space, the agency maps out the associated risks in the form of "directed acyclic graphs." A DAG resembles a large web of relationships that illustrate how certain habitat or mission features can affect certain mission-relevant outcomes.
A typical NASA DAG depicts one-way connections between mission constraints, such as "distance from Earth," to an astronaut's physical health outcome, such as quality of sleep, cardiovascular impacts, cognitive function, and so forth.
"By mapping risks, we can identify points of intervention to characterize and mitigate them," Lin explains. "NASA uses DAGs as a countermeasure to the risky business that is human spaceflight."
The researchers looked to create a similar DAG format to map risks associated with habitat design, and less tangible behavioral health outcomes, such as stress, boredom, trust, nostalgia, curiosity, and kinship with crewmates.
"The connection between habitat and behavioral health has not been made in this format before," Lin emphasizes. "So we made those connections for the first time."
[...] The team zeroed in on 14 main emotions or experiences that they considered behavioral outcomes that could be influenced by habitats in extreme environments. These include anxiety, autonomy, nostalgia, curiosity, fatigue, and kinship.
They then carried out a wide-ranging search through the scientific literature to identify studies relating to habitability in extreme environments. For instance, NASA has carried out extensive research on the effects of lighting on sleep, the resetting of circadian rhythms, and productivity. Other studies have investigated circulation and habitat layout and their effects on privacy, social connection, and crew performance.
Lin and their colleagues assembled connections and conclusions from numerous studies to create a DAG, or a web of habitat design features, and their downstream effects on aspects of mental, emotional, and social wellbeing. They also solicited feedback from experts across industry, academia, and NASA to evaluate and strengthen the DAG.
[...] When using the atlas, the team envisions that designers can take either a forward or backward approach. The atlas lays out habitat design elements, and their downstream behavioral connections, in roughly the order in which decisions are made in designing a mission.
For instance, in designing a spacecraft to journey to Mars, a designer might take a forward approach, and first click on a feature associated with an early design stage, such as "distance from Earth," knowing that this would be a significant consideration. The atlas would automatically display risks associated with being far from Earth, such as limits to resources such as "food," "medical capability," and "family and friends," and to behavioral health outcomes such as "nostalgia/homesickness."
A designer could then take a backward approach. If, for instance, they want to prioritize minimizing nostalgia/homesickness, they could click on the term to reveal design features and ideas that affect and could potentially improve it, such as in this case, "place attachment," or feeling emotionally attached to a place. Clicking on this term would in turn reveal upstream elements such as "reconfigurability" and "privacy" — design elements that could be put in place to encourate place attachment, and reduce homesickness.
For every term that a designer clicks on, Lin and their colleagues provide a summary, based on empirical research, that explains both the term in the context of extreme habitats, and provides examples of design interventions. For instance, a designer who is looking for ideas to minimize social isolation on long-duration missions may click on the term, to reveal a description.
"They may read that research has found 'access paths, stairs, entrances, contribute to the formation of friendships and social cohesion,'" Lin offers. "So that would give them an idea of connecting public spaces in the habitat, via the private spaces, so people have to mingle, essentially."
They emphasize that the new platform and the ideas informing it are not a one-size-fits-all for how to design any extreme habitat. That depends on a particular habitat's specifications and constraints.
"Rather, this helps you think about connections that might be important, but that aren't immediately obvious," Lin says. "As we envision truly becoming an off-planet species, or creating places we want to live in in space, there is so much potential for us to reimagine habitats that make us happy and productive."
https://martypc.blogspot.com/2026/09/decoding-nec-v20-microcode.html
reenigne's decoding of the 8088 microcode in 2020 opened the doors for extremely accurate emulation of the 8088 CPU.
Although I had added support for the NEC V20 in MartyPC, the V20 core was not cycle-accurate in terms of the V20's actual timings. It was an 8088 in a V20's clothing - a copy-paste of my 8088 core with V20 instructions tacked on.
This was not an ideal case, but the prospect of making my V20 core cycle-exact without the microcode seemed like it might be a discouraging slog of trial and error.
So why not get the microcode, then?
I recently commissioned InfoSecDJ to take die photography of an NEC V20 CPU (actually a second-source V20 fabricated by Sharp, but a V20 nonetheless). He did an excellent job.
Predictive text remains available, but users will have to invite it into their workflow:
Microsoft is switching off text predictions by default in Word and Outlook after acknowledging that unwanted suggestions can interrupt rather than assist some users.
The change is coming to Word for Windows, the web, iOS, and Android, as well as classic Outlook for Windows and Outlook for Mac. The feature will remain available but will no longer be enabled by default.
Introduced several years ago, the feature is the computing equivalent of Microsoft peering over users' shoulders and suggesting what they might type next. Depending on the user and their workflow, it can be a boon, an irritation, or simply something to ignore. The irksome part was that it was turned on by default.
According to Microsoft, "text predictions helps you write documents and emails more efficiently by suggesting words and phrases as you type. While some people find these suggestions useful, others prefer to write without predictive text. This update gives you more flexibility, allowing you to customize your editing experience and create a workflow that best suits your needs.
"This update helps ensure that predictive text remains available for people who find it helpful, while reducing unwanted interruptions for those who prefer to write without suggestions appearing automatically."
The Windows behemoth did not explain whether the change will disable text predictions for users who have already enabled them or apply only to new installations and profiles. Users who want the suggestions will still be able to switch them on through the applications' settings.
Microsoft is not the only company to suggest text as users type. Google, for example, introduced Smart Compose in Gmail in 2018.
Microsoft did not say whether telemetry or user feedback prompted the reversal, but it has elected to make the feature opt-in rather than opt-out.
It is a small change, but perhaps a sign that Microsoft is listening to customers who would rather decide for themselves whether AI belongs in their workflow.
https://manualdousuario.net/en/libreoffice-download-record-no-ai/
LibreOffice 26.8, released on August 26th, became the software's most popular update. LibreOffice is a free alternative to Microsoft Office that's been around for nearly two decades. In one week, the installer was downloaded more than 1 million times — not counting updates via Linux distribution repositories.
Someone might say the improvements to the writing system and typography are a hit among NGOs, government agencies, and offices that use LibreOffice. I'm putting my money on a "non-feature," though: the statement that LibreOffice doesn't come with generative AI features due to the technology's (lack of) privacy.
A day after celebrating the download record and the wide media coverage, The Document Foundation (TDF), which manages the software, spelled out its position in a post titled "Yes, no AI is now a feature".