News & Updates
The latest news and updates from companies in the WLTH portfolio.
Polymarket stands ready to fight misconduct as US midterms loom, intel chief says
WASHINGTON, Aug 31 (Reuters) - Prediction market company Polymarket is fully prepared to police trading on its platform as the approaching U.S. midterm elections test the industry's controls, the company's new global head of investigations and intelligence told Reuters. Polymarket is also working to keep U.S. users off its international platform, as required by an enforcement settlement it reached with U.S. regulators in 2022, said Shana Bautista, a former Coinbase analyst and FBI investigator. "I'm confident that I'm able to get the resources and the support I need," Bautista told Reuters in her first interview since joining Polymarket in June. "I can tell you that we have the systems in place to be able to identify anomalous activity when the midterms do come." Polymarket is under pressure from U.S. lawmakers worried fast-growing prediction markets are creating new avenues for insider trading and may threaten national security and election integrity - by undermining confidence in candidates and election officials or casting doubt on race results, among other possibilities. Many states are meanwhile suing to kick the industry out of sports betting. Polymarket's international platform settles trades on a blockchain, meaning wagers are public, although traders remain anonymous. Critics say that's a recipe for misconduct. Bautista said Polymarket's blockchain nevertheless provides highly valuable information about trader activity. The company, which was founded in 2020, says it has been beefing up controls and plans to provide more transparency around how it polices wagers. It is launching a new web page explaining how it protects market integrity and cooperates with law enforcement, a spokesperson said. Bautista said the web page will outline how Polymarket uses machine learning, blockchain analytics, trade surveillance, open source research and third-parties to spot and stop malicious activity. "The market integrity program itself is not new, but what we're putting on the record now is considerably more detail about how it operates," she said. The company says it has referred more than a hundred cases to law enforcement. Bautista said those include a wallet used by a U.S. soldier who prosecutors say used classified information to bet on the capture of Venezuela's Nicolas Maduro, and many possible insider bets on U.S. military actions in Iran that Reuters reported earlier this month. The Commodity Futures Trading Commission in 2022 fined Polymarket for failing to register with the agency and required it to bar U.S. users, but analysts say there is evidence that U.S. users continue to trade on the platform. Bautista said she believes the company's systems are sufficient to block the vast majority of U.S. users. "It is difficult at scale to be able to consistently and always evade all of the guardrails we have," said Bautista. "I do not see it being a really prevalent issue." Under President Trump's administration, which has embraced prediction markets, federal regulators dropped a probe into whether Polymarket had breached the settlement. CEO Shayne Coplan said at the time that the company had been cleared of wrongdoing. Polymarket re-entered the U.S. by acquiring a U.S.-registered exchange last year. (Reporting by Douglas Gillison in Washington; editing by Michelle Price and Nick Zieminski) Copyright Reuters or USA Today Network via Reuters Connect This story was originally published August 31, 2026 at 4:12 AM.
Polymarket stands ready to fight misconduct as US midterms loom, intel chief says By Reuters
WASHINGTON, Aug 31 (Reuters) - Prediction market company Polymarket is fully prepared to police trading on its platform as the approaching U.S. midterm elections test the industry's controls, the company's new global head of investigations and intelligence told Reuters. Polymarket is also working to keep U.S. users off its international platform, as required by an enforcement settlement it reached with U.S. regulators in 2022, said Shana Bautista, a former Coinbase analyst and FBI investigator. "I'm confident that I'm able to get the resources and the support I need," Bautista told Reuters in her first interview since joining Polymarket in June. "I can tell you that we have the systems in place to be able to identify anomalous activity when the midterms do come." Polymarket is under pressure from U.S. lawmakers worried fast-growing prediction markets are creating new avenues for insider trading and may threaten national security and election integrity -- by undermining confidence in candidates and election officials or casting doubt on race results, among other possibilities. Many states are meanwhile suing to kick the industry out of sports betting. Polymarket's international platform settles trades on a blockchain, meaning wagers are public, although traders remain anonymous. Critics say that's a recipe for misconduct. Bautista said Polymarket's blockchain nevertheless provides highly valuable information about trader activity. The company, which was founded in 2020, says it has been beefing up controls and plans to provide more transparency around how it polices wagers. It is launching a new web page explaining how it protects market integrity and cooperates with law enforcement, a spokesperson said. Bautista said the web page will outline how Polymarket uses machine learning, blockchain analytics, trade surveillance, open source research and third-parties to spot and stop malicious activity. "The market integrity program itself is not new, but what we're putting on the record now is considerably more detail about how it operates," she said. The company says it has referred more than a hundred cases to law enforcement. Bautista said those include a wallet used by a U.S. soldier who prosecutors say used classified information to bet on the capture of Venezuela's Nicolas Maduro, and many possible insider bets on U.S. military actions in Iran that Reuters reported earlier this month. The Commodity Futures Trading Commission in 2022 fined Polymarket for failing to register with the agency and required it to bar U.S. users, but analysts say there is evidence that U.S. users continue to trade on the platform. Bautista said she believes the company's systems are sufficient to block the vast majority of U.S. users. "It is difficult at scale to be able to consistently and always evade all of the guardrails we have," said Bautista. "I do not see it being a really prevalent issue." Under President Trump's administration, which has embraced prediction markets, federal regulators dropped a probe into whether Polymarket had breached the settlement. CEO Shayne Coplan said at the time that the company had been cleared of wrongdoing. Polymarket re-entered the U.S. by acquiring a U.S.-registered exchange last year.
Polymarket stands ready to fight misconduct as US midterms loom, intel chief says
WASHINGTON, Aug 31 (Reuters) - Prediction market company Polymarket is fully prepared to police trading on its platform as the approaching U.S. midterm elections test the industry's controls, the company's new global head of investigations and intelligence told Reuters. Polymarket is also working to keep U.S. users off its international platform, as required by an enforcement settlement it reached with U.S. regulators in 2022, said Shana Bautista, a former Coinbase analyst and FBI investigator. "I'm confident that I'm able to get the resources and the support I need," Bautista told Reuters in her first interview since joining Polymarket in June. "I can tell you that we have the systems in place to be able to identify anomalous activity when the midterms do come." Polymarket is under pressure from U.S. lawmakers worried fast-growing prediction markets are creating new avenues for insider trading and may threaten national security and election integrity - by undermining confidence in candidates and election officials or casting doubt on race results, among other possibilities. Many states are meanwhile suing to kick the industry out of sports betting. Polymarket's international platform settles trades on a blockchain, meaning wagers are public, although traders remain anonymous. Critics say that's a recipe for misconduct. Bautista said Polymarket's blockchain nevertheless provides highly valuable information about trader activity. The company, which was founded in 2020, says it has been beefing up controls and plans to provide more transparency around how it polices wagers. It is launching a new web page explaining how it protects market integrity and cooperates with law enforcement, a spokesperson said. Bautista said the web page will outline how Polymarket uses machine learning, blockchain analytics, trade surveillance, open source research and third-parties to spot and stop malicious activity. "The market integrity program itself is not new, but what we're putting on the record now is considerably more detail about how it operates," she said. The company says it has referred more than a hundred cases to law enforcement. Bautista said those include a wallet used by a U.S. soldier who prosecutors say used classified information to bet on the capture of Venezuela's Nicolas Maduro, and many possible insider bets on U.S. military actions in Iran that Reuters reported earlier this month. The Commodity Futures Trading Commission in 2022 fined Polymarket for failing to register with the agency and required it to bar U.S. users, but analysts say there is evidence that U.S. users continue to trade on the platform. Bautista said she believes the company's systems are sufficient to block the vast majority of U.S. users. "It is difficult at scale to be able to consistently and always evade all of the guardrails we have," said Bautista. "I do not see it being a really prevalent issue." Under President Trump's administration, which has embraced prediction markets, federal regulators dropped a probe into whether Polymarket had breached the settlement. CEO Shayne Coplan said at the time that the company had been cleared of wrongdoing. Polymarket re-entered the U.S. by acquiring a U.S.-registered exchange last year. (Reporting by Douglas Gillison in Washington; editing by Michelle Price and Nick Zieminski) Copyright Reuters or USA Today via Reuters Connect This story was originally published August 31, 2026 at 6:12 AM.
Polymarket stands ready to fight misconduct as US midterms loom, intel chief says
WASHINGTON, Aug 31 (Reuters) - Prediction market company Polymarket is fully prepared to police trading on its platform as the approaching U.S. midterm elections test the industry's controls, the company's new global head of investigations and intelligence told Reuters. Polymarket is also working to keep U.S. users off its international platform, as required by an enforcement settlement it reached with U.S. regulators in 2022, said Shana Bautista, a former Coinbase analyst and FBI investigator. "I'm confident that I'm able to get the resources and the support I need," Bautista told Reuters in her first interview since joining Polymarket in June. "I can tell you that we have the systems in place to be able to identify anomalous activity when the midterms do come." Polymarket is under pressure from U.S. lawmakers worried fast-growing prediction markets are creating new avenues for insider trading and may threaten national security and election integrity - by undermining confidence in candidates and election officials or casting doubt on race results, among other possibilities. Many states are meanwhile suing to kick the industry out of sports betting. Polymarket's international platform settles trades on a blockchain, meaning wagers are public, although traders remain anonymous. Critics say that's a recipe for misconduct. Bautista said Polymarket's blockchain nevertheless provides highly valuable information about trader activity. The company, which was founded in 2020, says it has been beefing up controls and plans to provide more transparency around how it polices wagers. It is launching a new web page explaining how it protects market integrity and cooperates with law enforcement, a spokesperson said. Bautista said the web page will outline how Polymarket uses machine learning, blockchain analytics, trade surveillance, open source research and third-parties to spot and stop malicious activity. "The market integrity program itself is not new, but what we're putting on the record now is considerably more detail about how it operates," she said. The company says it has referred more than a hundred cases to law enforcement. Bautista said those include a wallet used by a U.S. soldier who prosecutors say used classified information to bet on the capture of Venezuela's Nicolas Maduro, and many possible insider bets on U.S. military actions in Iran that Reuters reported earlier this month. The Commodity Futures Trading Commission in 2022 fined Polymarket for failing to register with the agency and required it to bar U.S. users, but analysts say there is evidence that U.S. users continue to trade on the platform. Bautista said she believes the company's systems are sufficient to block the vast majority of U.S. users. "It is difficult at scale to be able to consistently and always evade all of the guardrails we have," said Bautista. "I do not see it being a really prevalent issue." Under President Trump's administration, which has embraced prediction markets, federal regulators dropped a probe into whether Polymarket had breached the settlement. CEO Shayne Coplan said at the time that the company had been cleared of wrongdoing. Polymarket re-entered the U.S. by acquiring a U.S.-registered exchange last year. (Reporting by Douglas Gillison in Washington; editing by Michelle Price and Nick Zieminski) Copyright Reuters or USA Today via Reuters Connect This story was originally published August 31, 2026 at 5:12 AM.
Polymarket stands ready to fight misconduct as US midterms loom, intel chief says
WASHINGTON, Aug 31 (Reuters) - Prediction market company Polymarket is fully prepared to police trading on its platform as the approaching U.S. midterm elections test the industry's controls, the company's new global head of investigations and intelligence told Reuters. Polymarket is also working to keep U.S. users off its international platform, as required by an enforcement settlement it reached with U.S. regulators in 2022, said Shana Bautista, a former Coinbase analyst and FBI investigator. "I'm confident that I'm able to get the resources and the support I need," Bautista told Reuters in her first interview since joining Polymarket in June. "I can tell you that we have the systems in place to be able to identify anomalous activity when the midterms do come." Polymarket is under pressure from U.S. lawmakers worried fast-growing prediction markets are creating new avenues for insider trading and may threaten national security and election integrity - by undermining confidence in candidates and election officials or casting doubt on race results, among other possibilities. Many states are meanwhile suing to kick the industry out of sports betting. Polymarket's international platform settles trades on a blockchain, meaning wagers are public, although traders remain anonymous. Critics say that's a recipe for misconduct. Bautista said Polymarket's blockchain nevertheless provides highly valuable information about trader activity. The company, which was founded in 2020, says it has been beefing up controls and plans to provide more transparency around how it polices wagers. It is launching a new web page explaining how it protects market integrity and cooperates with law enforcement, a spokesperson said. Bautista said the web page will outline how Polymarket uses machine learning, blockchain analytics, trade surveillance, open source research and third-parties to spot and stop malicious activity. "The market integrity program itself is not new, but what we're putting on the record now is considerably more detail about how it operates," she said. The company says it has referred more than a hundred cases to law enforcement. Bautista said those include a wallet used by a U.S. soldier who prosecutors say used classified information to bet on the capture of Venezuela's Nicolas Maduro, and many possible insider bets on U.S. military actions in Iran that Reuters reported earlier this month. The Commodity Futures Trading Commission in 2022 fined Polymarket for failing to register with the agency and required it to bar U.S. users, but analysts say there is evidence that U.S. users continue to trade on the platform. Bautista said she believes the company's systems are sufficient to block the vast majority of U.S. users. "It is difficult at scale to be able to consistently and always evade all of the guardrails we have," said Bautista. "I do not see it being a really prevalent issue." Under President Trump's administration, which has embraced prediction markets, federal regulators dropped a probe into whether Polymarket had breached the settlement. CEO Shayne Coplan said at the time that the company had been cleared of wrongdoing. Polymarket re-entered the U.S. by acquiring a U.S.-registered exchange last year. (Reporting by Douglas Gillison in Washington; editing by Michelle Price and Nick Zieminski) Copyright Reuters or USA Today via Reuters Connect This story was originally published August 31, 2026 at 3:12 AM.
Polymarket stands ready to fight misconduct as US midterms loom, intel chief says
WASHINGTON, Aug 31 (Reuters) - Prediction market company Polymarket is fully prepared to police trading on its platform as the approaching U.S. midterm elections test the industry's controls, the company's new global head of investigations and intelligence told Reuters. Polymarket is also working to keep U.S. users off its international platform, as required by an enforcement settlement it reached with U.S. regulators in 2022, said Shana Bautista, a former Coinbase analyst and FBI investigator. "I'm confident that I'm able to get the resources and the support I need," Bautista told Reuters in her first interview since joining Polymarket in June. "I can tell you that we have the systems in place to be able to identify anomalous activity when the midterms do come." Polymarket is under pressure from U.S. lawmakers worried fast-growing prediction markets are creating new avenues for insider trading and may threaten national security and election integrity -- by undermining confidence in candidates and election officials or casting doubt on race results, among other possibilities. Many states are meanwhile suing to kick the industry out of sports betting. Polymarket's international platform settles trades on a blockchain, meaning wagers are public, although traders remain anonymous. Critics say that's a recipe for misconduct. Bautista said Polymarket's blockchain nevertheless provides highly valuable information about trader activity. The company, which was founded in 2020, says it has been beefing up controls and plans to provide more transparency around how it polices wagers. It is launching a new web page explaining how it protects market integrity and cooperates with law enforcement, a spokesperson said. Bautista said the web page will outline how Polymarket uses machine learning, blockchain analytics, trade surveillance, open source research and third-parties to spot and stop malicious activity. "The market integrity program itself is not new, but what we're putting on the record now is considerably more detail about how it operates," she said. The company says it has referred more than a hundred cases to law enforcement. Bautista said those include a wallet used by a U.S. soldier who prosecutors say used classified information to bet on the capture of Venezuela's Nicolas Maduro, and many possible insider bets on U.S. military actions in Iran that Reuters reported earlier this month. The Commodity Futures Trading Commission in 2022 fined Polymarket for failing to register with the agency and required it to bar U.S. users, but analysts say there is evidence that U.S. users continue to trade on the platform. Bautista said she believes the company's systems are sufficient to block the vast majority of U.S. users.
Polymarket Stands Ready to Fight Misconduct as US Midterms Loom, Intel Chief Says
WASHINGTON, Aug 31 (Reuters) - Prediction market company Polymarket is fully prepared to police trading on its platform as the approaching U.S. midterm elections test the industry's controls, the company's new global head of investigations and intelligence told Reuters. Polymarket is also working to keep U.S. users off its international platform, as required by an enforcement settlement it reached with U.S. regulators in 2022, said Shana Bautista, a former Coinbase analyst and FBI investigator. "I'm confident that I'm able to get the resources and the support I need," Bautista told Reuters in her first interview since joining Polymarket in June. "I can tell you that we have the systems in place to be able to identify anomalous activity when the midterms do come." Polymarket is under pressure from U.S. lawmakers worried fast-growing prediction markets are creating new avenues for insider trading and may threaten national security and election integrity -- by undermining confidence in candidates and election officials or casting doubt on race results, among other possibilities. Many states are meanwhile suing to kick the industry out of sports betting. Polymarket's international platform settles trades on a blockchain, meaning wagers are public, although traders remain anonymous. Critics say that's a recipe for misconduct. Bautista said Polymarket's blockchain nevertheless provides highly valuable information about trader activity. The company, which was founded in 2020, says it has been beefing up controls and plans to provide more transparency around how it polices wagers. It is launching a new web page explaining how it protects market integrity and cooperates with law enforcement, a spokesperson said. Bautista said the web page will outline how Polymarket uses machine learning, blockchain analytics, trade surveillance, open source research and third-parties to spot and stop malicious activity. "The market integrity program itself is not new, but what we're putting on the record now is considerably more detail about how it operates," she said. The company says it has referred more than a hundred cases to law enforcement. Bautista said those include a wallet used by a U.S. soldier who prosecutors say used classified information to bet on the capture of Venezuela's Nicolas Maduro, and many possible insider bets on U.S. military actions in Iran that Reuters reported earlier this month. The Commodity Futures Trading Commission in 2022 fined Polymarket for failing to register with the agency and required it to bar U.S. users, but analysts say there is evidence that U.S. users continue to trade on the platform. Bautista said she believes the company's systems are sufficient to block the vast majority of U.S. users. "It is difficult at scale to be able to consistently and always evade all of the guardrails we have," said Bautista. "I do not see it being a really prevalent issue." Under President Trump's administration, which has embraced prediction markets, federal regulators dropped a probe into whether Polymarket had breached the settlement. CEO Shayne Coplan said at the time that the company had been cleared of wrongdoing. Polymarket re-entered the U.S. by acquiring a U.S.-registered exchange last year. (Reporting by Douglas Gillison in Washington; editing by Michelle Price and Nick Zieminski)
Anthropic Explores How AI Could Help Improve More Capable Models
* Claude achieved 85 percent on deception tests * Its methods worked on models up to 4.7 times larger * Sonnet 5 tested more than 50 approaches in 60 hours Anthropic has published new research exploring how AI could take on a larger role in the development and safety testing of other AI systems. The work looks at whether models can independently research ways to address alignment problems, rather than relying entirely on human researchers to develop those methods. It also examines whether this approach can be used across models with different capabilities. The findings offer a closer look at how AI could eventually become more involved in AI research. Anthropic Tests Claude as an Automated AI Alignment Researcher In its research paper titled "Automated Researchers Can Reliably Mitigate Alignment Failures", Anthropic examined whether Claude could independently research ways to address 10 types of alignment failures, including deception, sycophancy, reward hacking and privacy violations. The researchers measured how much each method improved the target models while checking that their general capabilities did not decline. They also tested whether the methods worked on benchmarks Claude had not seen during its research. Claude searched existing research, proposed training methods and datasets, trained target models and evaluated the results. It could then use those results to develop another approach, allowing it to repeatedly test and refine its ideas rather than submit a single solution. Claude delivered one of its strongest results in the deception tests, closing 85 percent of the safety gap on average across several runs with Gemma-2-2B, compared with 20 percent for six experienced human safety researchers working under the same rules. Claude made more than 150 attempts during the experiment and also outperformed 28 human researchers who were given up to eight hours to develop their methods. The human comparison was not a direct test of whether Claude is a better researcher. The human participants could not repeatedly test and refine their proposals, while Claude could run multiple experiments. Anthropic instead highlighted the value of giving an AI system the ability to iterate on its own research. Some of Claude's methods also worked on alignment benchmarks that were withheld during the research process. The techniques were tested on Petri, an open-source tool that uses adversarial multi-turn scenarios to probe for misaligned behaviour. They also remained effective when applied to models up to 4.7 times larger than those Claude had originally worked on. Anthropic then tested a scenario closer to AI-assisted self-improvement. Claude Sonnet 5, which is less capable than Claude Opus 4.8, was tasked with improving the alignment of an early Opus 4.8 checkpoint. The checkpoint had not yet received most of the alignment training used for the released model. Sonnet 5 spent 60 hours testing more than 50 approaches and produced alignment results close to those of the released Opus 4.8. Its final method used just over 2,000 training examples made from simple templates and public datasets. Anthropic said the approach was roughly 15,000 times more efficient than its production alignment process. The automated system closed 65 percent of the measured safety gap in the early Opus 4.8 model, compared with 72 percent for the released version. The result does not mean Sonnet 5 improved Opus 4.8's overall capabilities or improved itself, but it shows that a weaker AI model can develop useful alignment training for a more capable system. Anthropic also tested whether its automated researchers tried to manipulate the experiments. Claude Opus 4.8 reviewed about 1,600 research-agent transcripts and flagged possible cheating in 39 cases, or 2.4 percent. Anthropic said current models often leave signs of such behaviour in their reasoning, but warned that monitoring could become harder as models become more capable. The study also has several limitations that could affect how broadly its findings apply. It covered only 10 alignment failures and did not examine issues such as political bias. Some forms of misalignment may also lack suitable benchmarks, while the researchers measured the impact on only a limited set of general capabilities. Anthropic also did not test whether the alignment gains would survive extensive reinforcement learning on other tasks. The research does not amount to full self-improving AI, since Claude did not improve or redesign itself. It instead used its research capabilities to develop alignment methods for another model, including one more capable than itself. The result offers an early indication of how AI could take on more of the research involved in developing future systems.
Anthropic Pushes Into Physical World With New Standard for AI Agents to Operate Machines
Anthropic is moving further into the physical world with a new interface designed to help AI agents communicate with and operate programmable machines. Called the Model Hardware Standard (MHS), the system is intended to work across devices used in areas such as scientific research, robotics and advanced manufacturing. Anthropic compared it to USB-C, which provides a standardized way for different devices to exchange information. The company said MHS could reduce the time and complexity involved in setting up and integrating hardware with AI systems. Unlike standards tied to a specific AI model, MHS is model agnostic, meaning organizations would not be limited to Anthropic's Claude models. The standard is currently available to a limited group of organizations through a research preview, with Anthropic planning to open-source it so manufacturers across industries can adopt the technology. The move puts Anthropic into closer competition with companies such as OpenAI and Amazon, which are also investing heavily in AI-powered hardware and physical systems. Anthropic is expanding its own hardware capabilities, including building a silicon team to develop custom chips for its AI models. Its latest initiative builds on the company's open-source Model Context Protocol, launched in 2024 to make it easier for AI agents to connect with data sources, and signals a broader push to make AI capable of interacting with the physical world.
Claude AI Users Are Getting Malware Alerts From Anthropic: Here's What You Should Know
Claude malware attack affects many users who have got an email from Anthropic telling them about its impact and what they should do. If you're a Claude user then check your email because Anthropic has a malware alert that needs to be read at the earliest. The company has informed its users that their PC might have malware that can be activated to steal personal data including passwords. More importantly, the threat is dangerous enough to allow the hacker to use their Claude account which is not a good sign. The email has been circulated across the Claude network by the company and some of them have shared the clip of the alert via Reddit. The threat is not directed at all Claude users and the company is making sure that the affected accounts are being logged out so that hackers cannot misuse their usage limits and also removing the payment method used to charge for their Claude account. You're Under Attack Anthropic's email to the affected Claude users informs them about the threat and why they may have seen a sudden surge in their usage which also results in the limits draining out faster. "If your usage limits looked like they refilled and then drained while you weren't using Claude, this was likely the cause," the email reported across channels. The malware is basically an infostealer which would have allowed the hacker to access your details on the system and even bypass any security to get Claude login sessions to get the account information for the person. Anthropic assures the leak is not linked to Claude AI by any ways, including any session you started on the AI chatbot. Phones and tablets do not appear to have been involved," the company adds, which means the PC and Mac users are the main targets for the malware attack. Be Careful What You Open Malware attacks come in all shapes and sizes but the origin of these plants are the same. You open an email or a link in a message from an unknown source, allowing the bad actor to infect the device with your consent. The security checks on the device become helpless because you have allowed the file to run and in the background the shady business has allowed your data to be exposed. Anthropic says if you are one of the victims, logging out of the account is not enough. You have to run a scan on the system for malware threats. Now you have to delink the email ID by changing the password and even setting up a two-factor authentication for better security. That's not all, the payment methods added to your Claude account should also be removed, their bank account passwords changed to make sure none of their accounts are misused.
Delaware Discord Drives States to Grow Their Own Business Courts
Capitalizing on "DExit" drama, Iowa and other states are working to raise their profiles as desirable litigation venues for companies questioning whether Delaware is still the default corporate domicile. Iowa's business court becomes a stand-alone entity on Sept. 1 with two full-time judges. Sen. Mike Bousselot (R) made his state's ambitions clear in floor remarks before a final vote in May approving the tribunal's creation (S.F. 639). Iowa has business-friendly tax codes and modernized corporate laws, "and we also know that many companies are seeking to exit Delaware and looking for new places of incorporation," the lawmaker said. ...
Inside Bamboo Numérik, Benin's Unconventional Cultural Hub
Bamboo Numérik has evolved into one of Cotonou's most distinctive cultural spaces, combining a library, café, restaurant, artist residency program, performance venues, and accommodation. Founded by Beninese artist and slam poet Kamal Radji, the project began in 2011, driven by the conviction that countries seeking cultural development must build spaces where creativity can flourish. Beginning with shipping-container bookshelves, the project grew into a hub for artist residencies, concerts, exhibitions, and community gatherings, all designed around an open, communal layout inspired by African architectural traditions. This adaptable design encourages creatives, entrepreneurs, and community members to interact. Radji now hopes to expand the concept into a network of cultural spaces across Benin, connecting emerging artists with established African and international creatives.
Legacy Piece Trello, Wiki and Discord
From styles and weapons to fruits and abilities, there's a ton of movesets to explore and combine in Legacy Piece. Luckily, you can find detailed overviews of all of them in one place and more. Check out the Legacy Piece Trello, Wiki and Discord links below. Legacy Piece Trello, Wiki and Discord Links Here are a bunch of useful community and info HUB links for Legacy Piece: * Legacy Piece Trello Board * Legacy Piece Wiki Page * Legacy Piece Discord Server * Legacy Piece Game Page * Legacy Piece Roblox Group Like any Roblox Piece RPG, this game's Trello and Wiki have everything neatly packed in categories for easy browsing. You can find info on: * Basic mechanics * Tier lists * All abilities * All weapons * All styles * All fruits * All items and materials * All accessories, auras and cosmetics * All enemies and NPCs * All quests * All races, clans and traits * A full crafting overview All of these but especially the abilities, weapons and styles are useful when cross-referencing with a tier list so that you have a better idea of the rankings. I would open up a tier list you're interested in and then check the higher tiers alongside their respective moves to see what suits your playstyle the best. That said note that in Piece RPGs the tier list is also kind of a progression guide so lower tiers are the best if you're starting out. There's even more so feel free to browse around. Also, I would highly recommend jumping into Discord for the official server of Legacy Piece. It's a massive info HUB of the latest announcements, updates, patch notes and sneak peeks. Plus, you get to engage with the developers as well as the community.
Plans & Pricing | Claude by Anthropic
Every plan has usage limits that reset on a rolling five-hour session window, and paid plans add weekly limits on top. Your activity across Claude on web, desktop, mobile, and Claude Code all draws from the same pool. How much you can do depends on the length and complexity of your conversations, the model you choose, and the features you use, so there's no fixed message count. Free covers everyday questions. Pro gives you at least 5x more usage per 5-hour session than Free. Max gives you 5x or 20x more usage per 5-hour session than Pro. On Team plans, Standard seats give more than Pro and Premium seats give 5x more than Standard. To manage capacity and make sure all users have fair access, we may limit your usage in other ways, such as weekly and monthly caps or model and feature usage, at our discretion. When you reach a limit, you can wait for it to reset, move to a higher plan, or, on paid plans, turn on usage credits to keep working at standard API rates. You can see where you stand anytime in Settings > Usage.
Trump administration acted illegally in fight against Anthropic, judge rules
The Trump administration's dramatic decision to mark Anthropic's AI models as a "supply chain risk" earlier this year was illegal, a federal judge has ruled. "The empty invocation of national security is not a blank check to punish and retaliate against government critics," wrote Judge Rita Lin in a 59-page ruling. The judge determined the federal government unlawfully retaliated against Anthropic despite its engaging in "constitutionally protected expressive activities." Lin pointed to renewed conversations between Anthropic and the federal government, as well as the government's decision to back away from national security allegations, as corroboration that the designation was an attempt to make a public example of the company, the New York Times reported. "We welcome the court's ruling that this supply chain risk designation was unlawful. We remain focused on working productively with the government to harness A.I. for our national security so all Americans benefit from this technology," Anthropic said in a statement following the decision. * Play our Big Guessing Game: Make your predictions now for a chance to win a new Apple Watch. Time's running out! What happened between Trump and Anthropic? Anthropic filed a series of lawsuits in March, amid a heated back and forth between the developer, the Department of War, and President Donald Trump himself over the government's potential use of Anthropic's AI models for nationwide surveillance or lethal autonomous weapons. The complaint accused the federal government of engaging in a targeted campaign against the company following the contract disagreement. Anthropic argued that the government's designation, typically reserved for foreign companies and national security risks, was an overly broad interpretation and "ideologically motivated." Trump himself directed an immediate blacklisting of Anthropic products across federal offices, calling the developers "leftwing nut jobs" and Anthropic itself a "radical left, woke" AI company. Following the fallout, which received widespread attention, Anthropic and the federal government reentered negotiations. Then, in June, Anthropic was forced to pull its latest Claude Fable 5 and Claude Mythos 5 models under an export control directive from the federal government, citing security concerns about foreign nationals' access to the technology. What does the decision mean for AI companies? Civil society groups see the ruling as a win for free speech proponents amid a government that is increasingly pushing back against dissenters. "Yesterday's ruling is a vindication of the First Amendment and a clear reminder that the government isn't allowed to use national security designations to punish companies or individuals for public criticisms or business disagreements," said Greg Nojeim, senior counsel at the Center for Democracy & Technology. "Procurement policy can't be an end run around the Constitution. The Pentagon can pick and choose which products it wants to buy. It can't use the power of its size and position to stamp out disagreement."
Anthropic introduces local sandbox mode for Claude Code desktop
The new feature uses OS-level isolation to lock down command execution, cutting permission prompts by 84% since initial development began. Anthropic has rolled out a local Bash sandbox mode for Claude Code on desktop, giving the AI coding tool a security upgrade that isolates command execution at the operating system level. The feature works on macOS and Linux/WSL2, using native sandboxing technologies to restrict what Claude Code can actually touch on your machine. How the sandbox actually works The technical implementation varies by platform. On macOS, the sandbox relies on Seatbelt, Apple's built-in sandboxing framework that enforces fine-grained restrictions on process-level access. Linux and WSL2 users get bubblewrap, a lightweight containerization tool commonly used in the Linux ecosystem for unprivileged sandboxing. Both approaches accomplish the same goal: filesystem access gets locked down to the current working directory and its children, while network requests pass through a proxy layer that only permits connections to pre-approved domains. Windows users, for now, are left out. Full native support for Windows remains absent. The sandbox ships with two operational modes. The first is auto-allow, which lets commands execute without requiring explicit user approval each time. The second is a traditional permissions mode that still gates every command behind a manual check. Since Anthropic began iterating on this sandbox approach around October 2025, the company says it has achieved an 84% reduction in permission prompts. Security context and prompt injection defense The sandbox addresses a real and growing attack surface: prompt injection. A carefully crafted prompt injection could trick an AI assistant into running destructive commands, exfiltrating sensitive files, or establishing unauthorized network connections. The sandbox's filesystem restrictions and network allowlists serve as guardrails against exactly these scenarios. By confining execution to the working directory, even a successful prompt injection attack would struggle to reach SSH keys, environment variables, browser cookies, or other sensitive data stored elsewhere on the system. The network proxy adds a second layer, preventing exfiltration attempts to unauthorized domains. Anthropic's documentation makes clear that "computer use" features -- the desktop interaction capabilities that let Claude control mouse clicks and screen interactions -- run outside the sandbox environment. This means developers using those features still operate without the isolation protections the sandbox provides. The broader AI coding tool landscape Anthropic's sandbox development fits into a broader strategy that began taking shape in 2025, when the company started positioning Claude Code as a multi-functional development environment where AI can autonomously write, test, and execute code. The company also supports third-party sandboxing options, including Docker-based isolation, for users who want stronger separation between Claude Code's execution environment and their host system. Docker sandboxes offer a more comprehensive isolation layer than OS-level tools like Seatbelt or bubblewrap, though they come with additional setup overhead and resource consumption.
Anthropic's Claude Code Usage Cap Update Actually Hides a Quiet Downgrade
Anthropic announced a permanent 25% increase to baseline Claude Code limits starting September 14 for Pro, Max, Team, and Enterprise accounts. However, because the company is ending a temporary 50% promotional boost active since May, active users face a net 17% reduction in total weekly capacity. Anthropic is shaking up how much time developers get to spend with its AI-powered coding assistant. However, the math isn't working out in favor of heavy users. The company recently posted an update announcing changes to its Claude Code weekly limits update, framing the news as a permanent upgrade for paid plans. But if you take a close look at the numbers, developers are actually looking at a noticeable drop in overall capacity. Beginning September 14, 2026, Anthropic is permanently raising standard baseline limits for Claude Code by 25%. This will apply across Pro, Max, Team, and seat-based Enterprise tiers. While that sounds great at first glance, the change coincides with the end of a massive promotional period that has been active for months. Doing the math on the summer rollback Back on May, Anthropic rolled out a temporary 50% bonus to weekly usage allowances. That temporary boost proved so popular that the company extended it four separate times over the summer, making the extra headroom feel like the default experience for active programmers. Now, that bonus is officially coming to an end. By replacing the 50% summer boost with a permanent 25% bump over the original baseline, Anthropic is effectively reducing today's working capacity by roughly 17%. For example, if your original baseline allowance was 100 units, the summer promo gave you 150 units per week. Under the new permanent policy taking effect on September 14, that cap resets to 125 units. Backlash over clever corporate marketing The announcement quickly sparked friction on X. Developers called out the main post for highlighting the 25% increase without plainly admitting that current usage was taking a hit. Users even appended a Community Note to the original thread. This forced Anthropic to delete and repost a clarification that explicitly admitted to the 17% reduction compared to today's levels. Anthropic said the pullback is needed to ensure long-term platform stability and responsible compute management. The move closely mirrors recent actions by competitor OpenAI, which recently restored strict five-hour limits on its own Codex tools as GPU-heavy workloads continue to strain server capacity. Fixing software bugs and sifting through massive codebases are among the most resource-intensive tasks for frontier models. Meanwhile, Anthropic's own usage data shows that code repair alone accounts for a huge chunk of daily workloads. Because factors like conversation length, model selection, and tool execution alter context size on the fly, quotas don't translate into a simple prompt count, making sudden capacity changes harder for developers to manage. Better visibility controls coming soon To help soften the impact of the upcoming cap reduction, Anthropic teased that interface updates are in the pipeline. The engineering team is working on new dashboard tools that will give users much clearer visibility and direct control over their remaining weekly quotas. Until the new rules kick in on September 14, the full 50% promotional boost remains active through September 13. This gives developers a couple of weeks to wrap up high-volume coding sessions before the tighter limits take hold.
Federal judge orders Pentagon to remove Anthropic supply chain risk label
A federal judge has ordered the Pentagon to remove its designation of Anthropic as a "supply chain risk," delivering a significant legal setback to the Defense Department in a dispute over how much control technology companies can retain over the military use of their artificial-intelligence systems. Judge Rita Lin of the Northern District of California found that the Pentagon's action against the AI company "constituted unlawful retaliation in violation of the First Amendment" and that the company "was denied the pre-deprivation process required under the Fifth Amendment." The ruling matters beyond Anthropic because the dispute turned a disagreement over AI safeguards into a question about how the government can use national-security procurement powers against a domestic technology supplier. A procurement dispute became a constitutional fight The conflict began after the AI company refused to remove safeguards that would prevent the military from using its Claude AI model for autonomous weapons and mass surveillance. The company argued that its models were not sufficiently reliable for those purposes. Defense Secretary Pete Hegseth rejected the idea that a private company should be able to constrain how the US military uses technology it purchases. In February, the Pentagon classified Anthropic as a supply chain risk, preventing the department and its contractors from working with the company's products. That designation carried unusual weight because it had previously been used only against companies viewed as connected to foreign adversaries. Anthropic sued in March. Lin rejected the Pentagon's argument that an inability to "trust" Anthropic justified applying the label. She wrote that "The empty invocation of national security is not a blank check to punish and retaliate against government critics," and concluded that the evidence showed officials wanted to make a "public example out of Anthropic for its 'arrogance' in criticizing the government, not based on any articulable basis to believe that Anthropic would actually sabotage its model." Why the ruling matters for AI suppliers The decision separates two issues that had become intertwined: whether the Pentagon wants to procure technology under a vendor's restrictions, and whether disagreement over those restrictions justifies treating that vendor as a security threat. That distinction could be important as government agencies negotiate access to AI systems whose developers impose their own limits on deployment. The ruling does not resolve the underlying disagreement over military use of Claude, but it removes the Pentagon's supply-chain designation as a tool in that dispute. Lin also pointed to continued engagement between Anthropic and other parts of the government as evidence against the Pentagon's security rationale. "None of that is consistent with a genuine fear that Anthropic is a saboteur who would poison its software to harm national security," she wrote. The dispute is not fully over Anthropic welcomed the decision and said it remained focused on working with the government on national-security applications. The broader legal fight continues. A second Anthropic-lawsuit related to the designation remains before a Washington, DC, court. President Donald Trump also said in June that although he had previously considered the AI company a national-security threat, he no longer held that view.
Anthropic Researcher Says AI Models Are Getting Better at Training Other AI Models
Anthropic's Automated Alignment Researchers used AI systems to test and develop training interventions for another model, improving it across 10 alignment problems including deception, sycophancy and jailbreak resistance. Claude spent 60 hours fixing a version of itself that had not yet gone through safety training. By the end, it had pushed that weaker model close to the alignment performance of Anthropic's production system, using a fraction of the data normally involved. That is the striking result from a new Anthropic experiment. The company gave AI systems called Automated Alignment Researchers, or AARs, the job of finding ways to correct specific failures in another model. "Across 10 alignment failures, the strongest AAR methods significantly reduce the targeted alignment failures and generalize to a held-out benchmark, multi-turn behavioral audits, and models up to 4.7× larger than the target model," Anthropic researchers wrote in the paper published August 28. The significance isn't that Claude suddenly learned to redesign itself. It didn't. The interesting part is much narrower: AI researchers were able to hand part of the research loop to another AI system, and the system performed that work faster and, in several tests, better than experienced humans working alone. The AI Researcher Loop Each automated researcher followed a stripped-down version of what a human alignment researcher would normally do. It searched relevant literature, proposed a training intervention, trained the target model for roughly 30 minutes, evaluated the result and then tried again. "Each AAR searches the literature, proposes a method, trains the target model for about 30 minutes on one H200 GPU, and hill-climbs safety benchmarks over many iterations," the Anthropic researchers wrote. That matters because alignment research is often bottlenecked by the same thing as other scientific work: people have to decide what experiment to run, wait for it to finish, inspect the result and design the next experiment. Here, Claude was doing much of that loop itself inside an environment with clearly defined goals and tests. The boundaries were important. The researchers determined what counted as a failure, what data could be used and how success would be measured. The AI was optimizing within that structure rather than inventing the structure itself. Humans Got Outpaced Anthropic didn't stop at showing that the system could improve a model. It compared the automated researchers with people. "The best AAR-proposed methods can outperform one-shot ideas from 28 experienced human researchers," Anthropic researchers wrote, adding that the AARs beat the best human ideas after about six hours of hill-climbing. The automated systems reached the quality of the best human proposals in roughly six hours of iteration on average. On deception specifically, Claude's best method performed 20% better than the strongest human proposal. The improvements also survived outside the exact environment in which they were discovered. Anthropic reported that the methods generalized to a held-out benchmark, to Petri, an open-source tool for adversarial multi-turn testing, and to models up to 4.7 times larger than the models the automated researchers had actually trained. A Weaker Model Helps A Stronger One Researchers gave Claude Sonnet 5, which was deliberately weaker on Anthropic's internal capability index, the job of improving alignment in an early, largely untrained Claude Opus 4.8 checkpoint. "In just 60 hours, Claude experimented with over 50 solutions and achieved alignment scores nearly matching those of our production models," Anthropic says in its research report. The training intervention itself was surprisingly small. It used just over 2,000 examples, assembled from simple templates and public datasets. Anthropic says that was roughly 15,000 times more data-efficient than its standard production alignment process. That number needs context. It does not mean Anthropic has discovered a universal method for making AI safety 15,000 times cheaper. It compares the amount of training data used in this particular experimental intervention with the much larger data requirements of Anthropic's production process. But the underlying result still matters: a weaker AI system found a relatively compact intervention that substantially improved a stronger model under the experiment's measured alignment criteria. The Cost Gap Is Huge The automated researchers ran at roughly $4 per hour in API inference costs. Anthropic puts the comparable cost of human research time at roughly $150 per hour. That doesn't make AI researchers a drop-in replacement for people. Humans still define the objectives, construct the benchmarks, interpret ambiguous failures and decide whether an apparent improvement actually matters. A human researcher may reject an interesting alignment idea because testing it would consume too much time or compute. An automated researcher can try dozens of variants while a person supervises the overall process. That means a lab could potentially move from discovering a failure mode to testing candidate fixes much faster than a human-only workflow allows. This Isn't AI Training Itself The models in this experiment did not independently decide what they should become. They did not invent their own objectives. They did not deploy their changes into production. The AARs worked inside benchmarks designed by humans, toward goals selected by humans, using literature and datasets that humans had already made available. "Overall, we view these results as early positive signals that automated alignment post-training could become practical in the near term," Anthropic researchers wrote, while noting that the experiment covered only a limited set of alignment failures. That qualification matters because the entire approach depends on measurement. If a benchmark captures only a narrow version of an alignment problem, an automated researcher can become extremely good at optimizing for the benchmark without necessarily solving the underlying problem. Building those tests, deciding what they should measure and keeping them relevant as models change remains human work. The Bottleneck Just Moved The scarce resource in AI development isn't only GPUs or training data. It is also the number of skilled people who can design and evaluate experiments. If AI systems can reliably take over meaningful portions of that research cycle, the constraint changes. One researcher could supervise far more experiments than one person could realistically design and run manually. Anthropic demonstrated that in a controlled setting for alignment. It has not demonstrated that the same process works for every difficult research problem, and the paper does not establish that automated researchers can safely improve frontier systems without careful human oversight.
Treasure Island Movie Update Is Bad News For Alien Fans Hoping for Prometheus 3
Ridley Scott is back in the sci-fi sphere after the premiere of his recent book-to-movie adaptation, The Dog Stars. Despite the movie being a relative flop, he still has strong opinions on both past franchises and new projects. Namely, that he'll be returning to finish his Alien franchise trilogy that began with Prometheus, saying the franchise "needs some help" after the release of Romulus (which was actually well received by critics and audiences alike). But fans of the Prometheus trilogy will probably be waiting a while, as Scott has dropped some big news regarding his next project. Sitting down with Discussing Film, Scott shared a few details on his newest project: an adaptation of Treasure Island, starring Hugh Jackman as Long John Silver. Casting for the other roles has already begun, according to the director, as well as extensive storyboarding. Pulling back the curtain on his current progress, Scott said, "I'm already storyboarding. I'm already halfway through Treasure Island, knowing exactly what I'm going to do because I draw storyboards like quite a sophisticated comic. I'm filming on paper." Ridley Scott Seems To Be Unstoppable But what does that mean for fans who were hoping that he'd return quickly to the Alien franchise after his previous comments about coming back to the IP? According to Scott, he's actively working on both projects, but it does seem like Treasure Island is further along than whatever comes next in the Prometheus trilogy. Talking about his return to the sci-fi IP that put Scott on the map, one fan said, "Honestly, I don't care what his motivations are for doing a sequel to Covenant. I just want to see the completion of his story." Referring to Scott's feelings on Romulus only being "okay," another fan said, "I think both are true in a way. I think Alien: Romulus was great. However, if he wants to come back and make more movies, I'm not gonna tell him no; he made some fantastic parts of this franchise." But other fans weren't so quick to agree, arguing that it's time for the director to step back from the franchise and focus on other things. "How could he fix it when he's the one that made the most mess with it?" asked one user. And another brought Romulus director Fede Álvarez into it, saying, "Romulus got better reception than Covenant from BOTH critics and audiences, and was a box office success, while Covenant underperformed and almost put a stop to the franchise. Sounds like Ridley is a bit bitter Álvarez did better than him." And considering the wild about-face that Ridley just pulled with his recent comments after previously telling Álvarez that Romulus was "f*cking great," it's not an out-of-left-field theory as to why he's so intent on returning.
