News & Updates
The latest news and updates from companies in the WLTH portfolio.
Kraken drops Monero spending questions but keeps a $1,500 rolling 30-day withdrawal cap for individuals
Crypto exchange Kraken has withdrawn intrusive compliance demands sent to Monero customers after its co-CEO admitted the requests were unjustified. On Oct. 24, Arjun Sethi said that customers who purchased and withdrew Monero (XMR) had received emails requesting information about their employers, sources of funds, and intended use of the cryptocurrency. He acknowledged that no... Read the full story on CryptoSlateUnderstand the crypto stories that matter and what to watch next
Elvis Presley Estate Sues Anthropic for Stealing His Music 'At a Scale Never Seen Before' To Train AI
The Elvis Presley estate filed a lawsuit against Anthropic for training their AI with the late rock star's music without permission. Artificial intelligence needs a ton of data in order for it to be truly effective. Consequently, companies like Anthropic are going above and beyond, using their technology to train their AI. However, time and time again, they've gotten in hot water with artists and estates. They take issue with them using their art and general likeness in order to create their own versions. With the Elvis Presley estate, they're claiming Anthropic used an unprecedented amount of music in order to push their technology forward. In a report from Billboard, Authentic Brands Group and the Presley family filed a lawsuit, accusing the tech giant of using Elvis' music without permission. They allegedly took 274 of his copyrighted songs, including hits like "Can't Help Falling in Love". Lead attorney Richard Busch also claimed that Anthropic has built their entire empire "based on copyright infringement at a scale never seen before." "The Elvis Plaintiffs are deeply protective of these iconic songs," he said on behalf of the Elvis Presley Estate. Plenty of labels have gone to court over their issues with AI companies taking liberties with their musicians. Typically, by the end of the disputes, a settlement finally gets reached, and they quietly partner instead of taking music through backdoors. However, according to Billboard, suing on behalf of Elvis as an individual artist sets a massive precedent for the rest of the music industry. Elvis Presley Estate Takes Anthropic to Court for Mass Amounts of Copyright Infringement to Train AI Anthropic isn't the only company getting a ton of heat for infringing on artists' work. Suno similarly got in hot water with Mary J. Blige earlier this year after uploading an ad with her without permission. Back in September 2026, the R&B legend faced a ton of backlash for starring in an ad promoting Suno while in the studio. However, apparently, she never approved of it in the first place. The AI firm allegedly spoke to someone who "presented themselves as Ms. Blige's official representative." As soon as they learned that she didn't want anything to do with Suno, they pulled the ad immediately. Mary J. Blige hasn't spoken about the incident since, and it's not clear who the person is that the Suno team spoke to. But in the advertisement itself, she seemed to think it was "dope" despite not really understanding how it works. Moreover, Blige seemed open to the idea of tinkering with AI further in the future.
Thariq Says He Left Anthropic After More Than a Year on Claude Code | EconoTimes
He plans to take a break before starting something new and did not identify his next destination. Leaving Anthropic after more than a year with its Claude Code tool, Thariq said Saturday, Oct. 24, that he would pause before starting something new. Claude Code is the company's coding tool. He did not name where he plans to go next. In describing his time at Anthropic, Thariq praised the company's mission and said he trusted his colleagues to lead it. He called the job his most enjoyable, though at times his most stressful, and thanked the X community. For Claude Code updates, Thariq named Anthropic's @ClaudeDevs account and colleagues Lydia Hallie, Addy Osmani, Cat Wu and Boris Cherny.
Thariq Leaves Anthropic After More Than a Year Working on Claude Code | TokenPost
He plans to take a break before starting something new and did not name his next destination. Thariq announced Saturday, Oct. 24, that he had left Anthropic after more than a year working on Claude Code, the company's coding tool. He said he plans to take a break before starting something new. By September, Anthropic engineers were making more than 30,000 code merges a day, while Claude wrote most of the code entering the company's codebase, as described in earlier coverage of Anthropic's engineering output. Thariq has regularly shared Claude Code features and usage tips on X. In his departure post, he directed readers to Boris Cherny, Cat Wu, Addy Osmani, Lydia Hallie and Anthropic's @ClaudeDevs account for more updates. He did not name his next destination. Thariq said he enjoyed his time at Anthropic, believed in its mission and trusted his colleagues to lead the company. He also thanked the X community and described the work as his most enjoyable and, at times, most stressful job.
Elvis Presley Rightsholders Sue Anthropic for Training on 274 Songs Without Permission
"The Elvis Plaintiffs are deeply protective of these iconic songs," lawyer states in $41 million lawsuit against AI company behind Claude The owners of Elvis Presley's music have sued AI company Anthropic, accusing them of training their models on Presley's music without permission. Billboard first reported that Authentic Brands Group, the licensing group that controls the King's music and likeness, filed its lawsuit Friday, alleges that Anthropic -- the AI giant behind Claude -- infringed on the rights of 274 of Presley's songs. AI companies have previously faced lawsuits from record labels like Universal and Warner Bros. as well as the RIAA, but this marks one of the first major instances where an artist's estate has brought legal action against an AI company. "The Elvis Plaintiffs bring this action to enforce these exclusive rights against the defendant that has built its entire business model based on copyright infringement at a scale never seen before," lead attorney Richard Busch wrote. "The Elvis Plaintiffs are deeply protective of these iconic songs." The ABE EPE LLC v. Anthropic lawsuit states that the AI company trained on 274 of Presley's songs -- from hits like "All Shook Up," "Can't Help Falling in Love," and "Don't Be Cruel" to lesser-known tracks. The lawsuit is seeking $150,000 per infringed track, or roughly $41 million. "'Claude' has created infringing output of copyrighted material of virtually every song from every catalog available on the internet, including the Works," the lawsuit states. "Even after the Defendant supposedly put up 'guardrails' after being sued, in one of its latest iterations, Claude continues to infringe: when recently asked to recreate specific songs 'for a modern audience,' Claude did so and admitted: 'These renders keep landing very close to the originals: same structure, same hooks reused with light rewording, and full sets of verses/choruses/bridges. That's edging past 'inspired by' into reproducing the copyrighted song, even when the words are swapped out.'" As Billboard notes, Busch has previously lawyered on lawsuits like the Marvin Gaye estate's groundbreaking action against Robin Thicke and Pharrell over "Blurred Lines." Like that case, the lawsuit argues that Anthropic is using Presley's songs to create "unlicensed derivative works" using their AI models.
Special Forces soldier allegedly uses classified mission details to bet on Polymarket and wins $400,000. Then the Pentagon issues a new ban
Defense Secretary Pete Hegseth has issued a new ban that prevents military personnel and Pentagon civilians from using nonpublic information to place bets on prediction markets. According to ABC News, the move comes after a series of incidents involving government employees and service members utilizing classified details for personal financial gain. A memo by Hegseth explicitly forbids the use of both classified and unclassified but private information for transactions on platforms like Polymarket and Kalshi. The core concern here is operational security. Hegseth pointed out that U.S. adversaries are paying close attention to these markets. When a service member or intelligence professional places a financial bet on a military outcome, they are essentially creating a signal that foreign intelligence services can track. By monitoring these patterns, outside actors might be able to anticipate American military movements or the timing of sensitive operations. This is a massive security risk that the Pentagon is no longer willing to tolerate. One case that triggered the change involves Master Sgt. Gannon Ken Van Dyke Back in April, the 38-year-old Special Forces soldier was charged by federal prosecutors and regulators. Master Sgt. Gannon Ken Van Dyke stands accused of using his position to gain classified insights into the operation to capture then-Venezuelan President Nicolás Maduro. Van Dyke allegedly placed bets totaling more than $32,500 on the outcome of that mission. The federal complaint states that he placed these wagers between December 30 and January 2. Most of these bets occurred on the night of January 2, just hours before missiles struck Caracas. Through these actions, he reportedly walked away with more than $400,000 in winnings. Van Dyke has pleaded not guilty to charges including wire fraud, commodities fraud, and misuse of confidential government information. Hegseth emphasized the danger of these activities in his recent memo. He noted, "Beyond operational security, financial stakes can warp judgment." He went on to explain that a logistician with money tied to a specific strike date has a personal interest in that date. Similarly, an analyst with a position on an outcome has a direct interest in that outcome. This kind of personal stake can compromise the focus and integrity required for military duties. "We are restoring lethality, discipline, and singular focus on fighting and winning our Nation's wars, and nothing should distract us from that sacred mission," Hegseth wrote, per Stars and Stripes. The Secretary of Defense added, "Not entertainment. Not a payout." The directive is clear that violators could face serious consequences They may be subject to administrative punishment, disciplinary action, or even criminal prosecution under the Uniform Code of Military Justice or federal law. The order also covers transactions made indirectly through third parties, closing a potential loophole for those who might try to hide their tracks. While federal rules already barred government personnel from using inside information for personal profit, this memo specifically reinforces those prohibitions in the context of modern prediction markets. The issue is not limited to the Pentagon. Other government entities have faced similar scrutiny regarding prediction markets. For instance, a group of new accounts on Polymarket made highly specific and well-timed bets on whether the U.S. and Iran would reach a ceasefire in April. These bets were placed just before President Donald Trump announced the news, resulting in significant profits for the accounts involved. The White House responded by warning staff against using private information to trade on such platforms. Additionally, Kalshi recently fined and suspended three congressional candidates who reportedly wagered on the outcome of their own elections during the month of April. Prediction markets allow sensitive information to be monetized Hegseth's memo serves as a warning to all Department of Defense personnel that their financial activities are under the microscope. When asked about the new policy, a defense official stated that the Pentagon had no other information to offer beyond what was already in the memo. The October 20 memorandum to senior Pentagon leaders and combatant commanders highlights the seriousness of the entire situation. "Make no mistake why this matters. Our enemies watch movements in these markets," Hegseth wrote. This is a clear signal that the days of using inside government knowledge to play the markets are over for those in uniform.
Call of Duty: MW4 Free Download Available for Discord Nitro Subscribers
Diana is a News Writer from Peru. She graduated as a journalist in 2020 and has since gained experience in news, social media, and marketing. Previously, she worked as a tech and gaming news writer in Peru's most prominent newspaper El Comercio. Diana has been playing games since forever and still remembers her first time finishing Guitar Hero 3 on PC and the Wii she got for Christmas. Her favorites are usually RPGs, but any game with a good story will catch her eye. These days, she's been a little too invested in Genshin Impact while waiting for The Wolf Among Us to finally make a comeback. Call of Duty: Modern Warfare 4 players can get an exclusive weapon blueprint through their Discord Nitro subscription, along with other free goodies. The highly anticipated Call of Duty: Modern Warfare 4 finally launched globally on October 23 after its early-access period was generally well received by fans. Add GameRant on Google Add as Preferred Source Follow on Google Discover How to Get a Free Call Of Duty: Modern Warfare 4 Weapon Blueprint with Discord Nitro Call of Duty: Modern Warfare 4 players who have a Discord Nitro subscription can get the exclusive "Code Blurple" weapon blueprint for free right now. To unlock the reward, Discord Nitro users simply need to check their Nitro Home tab on the platform, claim the limited code, and redeem it on Call of Duty's official website. The blueprint gives players a variant of the Signal 50, a Sniper Rifle in Call of Duty: Modern Warfare 4's weapon catalog. Players who have already redeemed the blueprint have reported that the Code Blurple weapon can be used in any game mode. 10/10 Call of Duty: Modern Warfare 4 Like Follow Followed Released October 23, 2026 Developer(s) Infinity Ward Publisher(s) Activision Multiplayer Online Multiplayer, Online Co-Op Prequel(s) Call of Duty: Modern Warfare, Call of Duty: Modern Warfare II, Call Of Duty: Modern Warfare III 18 Images Where to play Close WHERE TO PLAY DIGITAL Genre(s) First-Person Shooter, Action Powered by Expand Collapse
Anthropic's $80 Billion First-Half Loss Sets the AI Valuation Bar
RT @Beth_Kindig: According to the WSJ, Anthropic reported a net loss of more than $80 billion in 1H, though $72 billion of this came from a... Anthropic reported a net loss of more than $80 billion in the first half of the year, according to the Wall Street Journal, instantly becoming the reference point for how the AI buildout gets priced. Most of that loss was noncash, so the actual cash burn was a fraction of the headline number. A company can carry paper losses of this size and stay operationally funded, but the figure shows how aggressively capital is being deployed across the AI sector. As one of the largest private AI labs, Anthropic's financials now anchor how investors judge where the buildout cycle stands.
Anthropic targets November IPO as Polymarket traders bet on $ANT ticker
The Claude maker is reportedly aiming to list before Thanksgiving, and prediction market traders are already arguing over its three-letter name Anthropic is reportedly lining up a public debut for mid-November 2026, with a goal of trading before the US Thanksgiving holiday on November 26. The company has not announced a ticker symbol yet. Prediction market traders have settled on a favorite anyway. Polymarket traders give Anthropic a 65% chance of trading under $ANT, putting a number on a guessing game that Wall Street usually plays over drinks. What Anthropic is reportedly planning Anthropic PBC, the AI company started by former OpenAI executives, reportedly filed a draft S-1 registration with the SEC on June 1, 2026. An S-1 is the disclosure document a company files before selling shares to the public. A draft filing does not lock in a date. The current November window replaces an earlier September target that slipped. The valuation talk is where things get dizzying. Market expectations put a possible valuation somewhere between $1.5 and $2 trillion. At the top end, that could put Anthropic in the same league as SpaceX's market cap. The size of the raise is just as ambitious. The company's fundraising could reportedly land between $75 and $100 billion. The numbers behind the pitch Anthropic's 2025 revenue is estimated at approximately $4.6 billion, up from $386 million in 2024. The other side of the ledger is less flattering. Anthropic has reportedly booked significant net losses, including a $42 billion figure attributed to accounting adjustments. Accounting adjustments can swing reported losses without reflecting cash leaving the building. Still, a loss that size will be one of the first things prospective shareholders scrutinize once a full prospectus is public. The ticker trade on Polymarket Polymarket lets traders put money on the outcome of real-world events, from elections to which three letters an AI lab picks for its stock. Sentiment on $ANT has moved around. As of October 24, 2026, Polymarket showed $ANT as the leading option with roughly 44% probability. The latest read cited by traders puts it at 65%. The company has not confirmed any symbol. Why the timing is tricky The calendar is doing Anthropic no favors. Filing adjustments may hinge on market conditions and political timing around the US midterm elections. Thanksgiving creates its own deadline. Trading volume tends to thin out around holidays, so a listing pushed past late November could easily drift into the next year. The company has already moved the date once. Background: how Anthropic got here Anthropic was founded by people who left OpenAI, and it operates as a public benefit corporation, which is what the PBC in its legal name refers to. Its revenue curve, from $386 million in 2024 to approximately $4.6 billion in 2025, tracks the broader rush of corporate spending on AI tools. What this means for investors and the AI trade For public market investors, the main event is access. Pure-play AI model developers have largely been off-limits to anyone outside venture rounds and private deals. A listing of this size would change that, and the raise of $75 to $100 billion indicates how much capital Anthropic expects to absorb. The valuation is the central risk. A $1.5 to $2 trillion price tag on a company with approximately $4.6 billion in estimated revenue implies investors are paying for growth that has not happened yet. Once the full S-1 becomes public, investors will be able to separate the accounting-driven portion of the $42 billion figure from the cash the business actually burns. For prediction market traders, the ticker bet resolves the moment Anthropic names its symbol. The gap between 44% in late October and 65% now reflects how quickly sentiment can move when a big listing gets close. The things to watch are straightforward: a public S-1, a confirmed exchange and ticker, a final price range, and whether the November target survives the midterms.
Britain's New AI Biosecurity Lab Pairs £100 Million in Public Money With Up to £200 Million in OpenAI and Anthropic Credits
The UK's new AI Biosecurity Lab will start with £100 million in government funding and up to £200 million in model credits, access and support from OpenAI and Anthropic. It will run as an independent nonprofit focused on earlier threat detection and faster vaccine and treatment work. Britain set up its AI Security Institute in 2023 to probe the risks in frontier models. The country's newest AI body has a different brief, putting those models to work against biological threats, and as much as two-thirds of its backing comes from the companies that make them. The AI Biosecurity Lab gets £100 million in government money. OpenAI and Anthropic have committed up to £200 million more, in the form of access to their own systems. OpenAI is putting in £100 million in compute and model credits, and Anthropic's pledge of up to £100 million covers model credits, trusted model access and technical support, the Cabinet Office said. Google DeepMind and Basecamp Research are signed on as research partners. The lab will be an independent nonprofit, and the government wants it to "move with the speed and focus of a frontier AI-bio company." Its first projects aim at spotting emerging biological threats earlier and speeding up work on vaccines and treatments. Where OpenAI's credits come from OpenAI's credits run through Rosalind Biodefense, a program it launched in May to sponsor use of GPT-Rosalind, its life sciences reasoning model, on vetted defensive projects. When the program started, OpenAI also gave access to the Coalition for Epidemic Preparedness Innovations (CEPI). CEPI's deputy CEO, Aurelia Nguyen, is quoted backing the British lab in the wider announcement. "Rapid advances in AI are creating new risks related to the design and modification of pathogens, increasing the potential for both accidental and deliberate harm," she said. The lab is part of an AI package Chancellor John Healey is putting into Wednesday's Budget, and other line items lean toward security too. The AI Security Institute, which this week published its own analysis of a Mythos 5 test run that went after a real GitHub project, gets an extra £120 million. A National Cyber Shield built on agentic AI gets £60 million. The lab's remit also reaches into drug approval. It will work with the Medicines and Healthcare products Regulatory Agency to prepare for health emergencies and to inform how AI-designed medicines are regulated.
Anthropic inks multibillion-dollar deal with Google for AI chips
SAN FRANCISCO (AP) -- Artificial intelligence company Anthropic has signed a multibillion-dollar deal with Google to acquire more of the computing power needed for the startup's chatbot, Claude. Anthropic said Thursday the deal will give it access to up to 1 million of Google's AI computer chips and is "worth tens of billions of dollars and is expected to bring well over a gigawatt of capacity online in 2026." A gigawatt, when used in reference to a power plant, is enough to power roughly 350,000 homes, according to the U.S. Energy Information Administration. Google calls its specialized AI chips Tensor Processing Units, or TPUs. Anthropic's AI systems also run on chips from Nvidia and the cloud computing division of Amazon, Anthropic's first big investor and its primary cloud provider. The privately held Anthropic, founded by ex-OpenAI leaders in 2021, last month put its value at $183 billion after raising another $13 billion in investments. Its AI assistant Claude competes with OpenAI's ChatGPT and others in appealing to business customers using it to assist with coding and other tasks.
Kraken Lets Customers Ask ChatGPT About Their Crypto Balances | EconoTimes
The link provides read-only account data, while any purchase still requires customer review and confirmation on Kraken. Kraken customers can now ask ChatGPT about linked balances and account performance, adding an AI interface for portfolio reviews while requiring users to approve any purchase through the exchange. Kraken said customers must connect an account and authorize read-only access to balances to ask account-specific questions. Examples include checking gains for a day or asking which holdings lost money during a month. General questions about prices, charts and news do not require an account connection. A prompt can open Kraken's buy process with an amount already entered, but ChatGPT does not complete the purchase. Customers must review and confirm the order on Kraken. The account connection also cannot transfer funds or change account settings, Kraken said. Kraken says its systems provide the figures in account cards. ChatGPT writes the accompanying explanations, which the exchange says it does not review.
TeraWulf's 20-year lease agreement with Anthropic expected to generate $19B in revenue | Fox Business Video
TeraWulf Chairman and CEO Paul Prager discusses the company's artificial intelligence data center expansion on 'Claman's Power Players.' TeraWulf Chairman and CEO Paul Prager joins 'Claman's Power Players' to discuss the company's 20-year lease agreement with Anthropic, which is expected to generate $19 billion in revenue. Prager also weighs in on the impact of the artificial intelligence data center buildout.
Mercor Is Hiring for Part-Time Remote Work - Plus 3 Other Companies to Check
Last Updated on October 23, 2026 by Justin Bryant Mercor is accepting applications for remote contract work, including a generalist role advertising $50-$60 an hour for approximately 10-20 hours a week. But the qualifications are more demanding than the word "generalist" might suggest. Below are two Mercor roles and three alternatives at other companies. They involve research, writing, evaluating AI responses, or demonstrating computer workflows, with different equipment and experience requirements. Listings checked October 23, 2026. These are freelance or independent-contractor opportunities. An open application does not guarantee acceptance, paid assignments, or steady hours. Availability and eligibility can change. 1. Mercor: Generalist (Must Own MacBook) Mercor's generalist project involves creating research questions, reference answers, and evaluation materials to help improve AI models. The advertised rate is $50-$60 an hour, with approximately 10-20 hours a week. The listing describes remote work on your own schedule. The main requirements include: * A Mac with an Apple M-series or Intel processor, running macOS 15 or higher. * Current or recently completed master's studies, or 2-3 years of relevant experience plus a bachelor's degree from what Mercor calls a "prestigious institution." * Strong online research, summarizing, and written communication skills. An interdisciplinary degree is a plus. Mercor does not define "prestigious," so applicants should read that requirement carefully rather than assume every bachelor's degree meets it. The application involves a resume, an AI interview, and a paid assessment. Mercor says payments are weekly through Stripe or Wise, and projects can be shortened or ended early. The page does not provide a complete eligible-country list and says H-1B and STEM OPT candidates are unsupported. My take: This is worth investigating if you already have the research background and equipment. "Generalist" describes the work's scope; it does not make this a no-experience opening. 2. Mercor: Computer Power Users & Automation Builders Mercor also has a remote project for people who already know their way around Mac productivity tools and automations. The work involves completing and narrating workflows across applications to create AI-training data. It advertises $50-$60 an hour and approximately 10-20 hours a week. Applicants need a compatible Mac running macOS 15 or higher, strong macOS knowledge, and experience with automation tools. Examples include Shortcuts, Automator, AppleScript, Keyboard Maestro, Raycast, Alfred, Zapier, Make, or shell scripting. The listing also includes the master's-study or relevant-experience-plus-degree requirements described above. This is independent-contractor work, and a complete country list is not provided on the public page. H-1B and STEM OPT candidates are unsupported. My take: This could fit someone who already builds useful automations. I would not buy a Mac or start learning a tool solely because this particular opening exists. 3. Meridial: AI Training Generalist -- No Prior Experience Needed If Mercor's requirements rule you out, Meridial has a more accessible generalist listing worth checking. The U.S. remote project advertises $20 an hour. Its title explicitly says no prior experience is needed, and the description says a technical background is unnecessary. You would review AI outputs, identify inconsistencies, and explain your observations. Task guidance and examples are provided. Clear communication, attention to detail, and the ability to work independently still matter. This is a freelance project through Meridial Marketplace, powered by Invisible Technologies. Contractors supply a secure computer and high-speed internet. Company-sponsored health insurance and paid time off do not apply, and the platform does not provide visa or work-authorization sponsorship or support. The description does not establish a fixed weekly workload. My take: This is the clearest explicit beginner option in this group for U.S. applicants. The lower advertised rate may be more relevant than a higher-paying listing whose qualifications you cannot meet. For broader platform background, see my Invisible Technologies and Meridial review. 4. Alignerr: Generalist Alignerr's generalist role focuses on reviewing AI-generated content for accuracy, clarity, tone, and overall quality, then providing structured feedback. The listing advertises $40-$120 an hour, with a commitment of 10-40 hours a week. It describes flexible remote contract work and explicitly says no specialized background or prior AI, technology, or content-moderation experience is required. Strong written English, careful judgment, and independent work are important. Writing, editing, research, quality assurance, and fact-checking experience are listed as advantages. The public description does not establish a complete eligible-country list. Applicants should confirm their location is supported and check the rate and project terms actually offered. The maximum advertised rate is not evidence of likely beginner pay or guaranteed earnings. My take: This is worth investigating for strong writers and analytical thinkers. I would compare the actual offer and assignment availability, rather than choose it solely because its advertised maximum is the highest here. You can also read my Alignerr review for broader pros and cons. 5. Outlier: AI Evaluator -- English Outlier's English evaluator opportunity includes talking with AI voice models or comparing AI-generated images and videos, then explaining your judgments. Check the pay carefully: The page headline says up to $18 an hour, while the payment section says up to $15 an hour for core project work. Rates vary, and non-core work may pay less. Confirm your actual project terms instead of assuming the higher figure applies. Listed locations include Argentina, Australia, Canada, the United Kingdom, Ireland, India, Mexico, New Zealand, Puerto Rico, and the United States. You need clear English, a computer, reliable internet, and headphones. Voice projects require a quiet place to speak. Degree study or completion appears under desirable expertise. Screening and onboarding apply, and evaluations must be your own work rather than written by AI tools. This is flexible freelance work, not employee employment. My take: This may suit someone who enjoys careful visual or audio evaluation. The pay discrepancy is a reason to verify the offer, and flexibility should not be confused with dependable work. Read my Outlier review for more platform context. Which Option Would I Check First? Start with the requirements you can already meet. Mercor's research role fits a different background from its automation role. Meridial offers the clearest explicit beginner entry point, Alignerr emphasizes writing and judgment, and Outlier adds voice and visual evaluation. Before applying, check your country, equipment, qualifications, offered rate, and contract terms. Before relying on the income, establish whether you actually have paid assignments. Mercor's recruiting language and hiring-count badges do not tell applicants how many places remain or what their acceptance odds are. I have not verified the methodology behind those counts, so I would not use them to estimate your chances. The official application links above are the best starting point for current requirements. My linked reviews provide broader background; the current listing and any written offer should govern the terms for a specific project.
Anthropic reveals Mythos 5 tried submitting malicious code to an open-source project
Anthropic PBC's Mythos 5 artificial intelligence model attempted to submit malicious code to a GitHub project in July. The incident occurred during an evaluation of the algorithm's cybersecurity capabilities. The AI Security Institute, the UK government body that performed the test, released a report about the cyberattack today. Anthropic published its own analysis of the incident on its blog. The malware that Mythos 5 submitted to the unnamed GitHub project didn't infect any users because it wasn't accepted by the repository's maintainer. However, the incident is still notable because it provides new data on how frontier models bypass their safety guardrails. Researchers can use such information to improve their algorithms' alignment features. The evaluation during which the incident occurred involved a server cluster maintained by the AI Security Institute. The cluster was meant to simulate a corporate network. According to Anthropic, researchers asked Mythos 5 to breach the network and obtain a piece of data stored on one of its servers. The AI Security Institute defined rules that prohibited the model from using certain hacking methods. Mythos 5 initially adhered to those rules, but went off course when its initial attempts to breach the simulated network failed. That change of tactics led to the attack against the GitHub repository. Mythos 5 determined that one of the servers in the simulated corporate network occasionally accessed GitHub. It sought to exploit that access by compromising the GitHub repository that the server used. In particular, the model's plan was to infect the repository with malware and have the server download it. Mythos 5 crafted a malicious code snippet, created a GitHub account and used the account to submit the code snippet to the repository in question. When the repository's maintainer rejected the submission, the model attempted to upload a rewritten version of the malware. Furthermore, it used a second GitHub account to try and persuade the maintainer to accept the revised code. "The pull request was not accepted," Anthropic researchers wrote in the company's report about the incident. "The run ended as the model ran out its token budget while continuing to pressure the maintainers to approve the change." The AI Security Institute recreated the Mythos 5 session that produced the malicious code. Its researchers then made one key change: they paused the model right before it submitted the malicious GitHub contribution and warned it of the action's risks. The model proceeded with the submission after appearing to convince itself that the target was simulated. "Our hypothesis is that this persistence reflects a kind of "momentum", in which the model's compaction notes and prior actions imply to it that its current path has been (correctly) sanctioned," Anthropic's researchers wrote. The AI Security Institute hardened the environment that it uses to evaluate models in response to the breach. Anthropic, in turn, has improved its models' safety features. The company determined that Mythos 5.1 and Opus 5.5, two models released after Mythos 5, are less likely to launch attacks of the kind that targeted the GitHub repository. A third, internal model "never initiated the attack" during Anthropic's tests.
UK commits £100M to AI biosecurity lab with OpenAI, Anthropic, DeepMind
The UK government has announced a £100 million investment into an AI biosecurity lab in collaboration with OpenAI, Anthropic, and Google DeepMind. This commitment aims to address potential risks associated with AI technology, focusing on biosecurity measures. The initiative is part of the UK AI Security Institute's (AISI) effort to formalize and scale an existing evaluation ecosystem for frontier models. The collaboration builds on previous partnerships with these tech giants, particularly in biosecurity red-teaming and safety research. Key Takeaways * The UK government's investment suggests a commitment to enhancing biosecurity measures in AI, potentially reducing perceived risks. * Markets may interpret this funding as consistent with increased oversight and safety protocols, possibly impacting the probability of an Anthropic lab leak. * The establishment and expansion of the AI Security Institute's partnerships with major AI labs could indicate a strategic move towards more rigorous safety frameworks. What to Watch Observers will closely monitor how this funding impacts ongoing and future biosecurity initiatives involving AI frontier labs. The response from stakeholders such as Anthropic's safety teams and U.S. regulators may provide further insights into the perceived risk levels. Additionally, any developments in the OpenAI IPO timeline could be influenced by this collaborative effort, as it underscores the importance of regulatory and safety considerations in AI advancements.
Eric Schmidt Rejects AI Bubble Fears, Says Anthropic Is Growing Twice as Fast as Google Did
Benzinga and Yahoo Finance LLC may earn commission or revenue on some items through the links below. Former Google CEO Eric Schmidt says artificial intelligence "is not a bubble," pointing to Anthropic's explosive revenue growth as evidence that customers are paying for technology they find useful. "When I was CEO at Google, we set the revenue growth record. They smashed it more than twice the speed as we did," Schmidt told Nicolai Tangen, head of Norway's sovereign wealth fund, on the In Good Company podcast. "That's real growth there. It's not fake. It's real money with real customers who are paying for something useful in their eyes." Schmidt, who led Google, now part of Alphabet Inc., from 2001 to 2011, did not specify how he calculated the comparison. He also has a substantial financial interest in Anthropic's success. Bloomberg reported that Schmidt owns about 1% of the company, a stake potentially worth $15 billion to $20 billion at valuations discussed ahead of its anticipated IPO. Anthropic's Growth Comes With Enormous Costs Anthropic told prospective investors that third-quarter revenue jumped 45% to $16.8 billion, up from $11.6 billion in the previous quarter and $4.7 billion in the first, Reuters reported. The company also told investors it was profitable on an adjusted basis, although revenue growth slowed after more than doubling between the first and second quarters. A draft IPO prospectus reviewed by Reuters revealed an $80.7 billion net loss in the first half of 2026, including a $72 billion noncash accounting charge tied to convertible financing. Anthropic spent nearly $9 billion on computing and infrastructure during those six months and has committed at least $518 billion over a decade. China Could Win the AI Race on Users Schmidt warned that Western AI companies could lose the global battle for customers even if they continue building more advanced models. He estimates Chinese models are about six months behind their American rivals, but believes free alternatives could dominate in poorer countries. "If you define losing as users, the vast majority of the world will use the free Chinese models rather than the more expensive Western models," he said. That raises a question for Anthropic and its rivals: how much of the global demand for AI can they convert into paying customers? Polymarket Traders See Limited Risk of a 2026 Bust On Polymarket, traders assign 9% odds of an AI-industry downturn by Dec. 31, with nearly $2.5 million traded. The contract requires three specified events within a single 90-day period, including potential triggers such as Nvidia Corp. falling 50% from its all-time high or Anthropic or OpenAI declaring bankruptcy. 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UK Vows £100 Million for Biosecurity Lab With OpenAI, Anthropic
The UK announced £100 million ($134 million) for a AI Biosecurity Lab which will be supported by OpenAI, Anthropic and Google DeepMind, part of a raft of measures designed to improve the government's ability to understand and tackle the risks posed by the technology. The lab will use AI to detect ...
OpenAI disables internet access during model training while Anthropic issues another mea culpa
OpenAI says it will deny internet access to the frontier models it is training, a move that underscores the inadequacy of safety measures undertaken to date. "Based on the current state of alignment research, monitoring systems, and the security of internet infrastructure, we believe the responsible approach is to conduct frontier model training with no internet access," the company said in a blog post. "We've implemented this policy and will maintain it until advances in these safeguards justify broader internet access." The denial of network service follows a report from safety evaluation partners METR and Redwood Research that found OpenAI's security and monitoring measures over the summer to be porous and ineffective. OpenAI said it has since "substantially hardened the security of our research environments" and has implemented new controls covering its infrastructure with the help of its cloud service providers. And the company claims these measures recently helped contain a September 20 incident in which an internal research model exploited a DNS misconfiguration to gain access to the internet. "Although we contained the incident, it exposed weaknesses that required further work," the company said. "We paused training and evaluation of our most capable models and used that pause to further harden our infrastructure, strengthen our monitoring, and improve the systems that automatically stop runs when we detect activity that poses a serious risk." Meanwhile, over at Anthropic... Anthropic, OpenAI's US rival in living large and dangerously on speculative funding, is addressing similar risks that have arisen during the testing and evaluation of its own models. Back in August, Anthropic said, "By default, all cyber evaluations should run inside a hardened sandbox (an isolated computing environment) with no internet access." The AI biz on Friday published a report on efforts by its Claude Mythos 5 model to convince an open source project to accept malicious code as part of its participation in a capture-the-flag security evaluation (when safety controls were disabled), and several related incidents first disclosed in July. The report coincides with an independent analysis of Mythos' behavior by the UK's AI Security Institute (AISI). AISI, according to Anthropic, has also decided to run its evaluations without internet access. The AISI report cites three key findings that raise more questions than they answer. The first is that Mythos 5 continued its attack even when informed that its targets were real and not part of an evaluation. The second is that the model's chain-of-thought reasoning process failed to consider the impact of harmful actions. And when interrogated about this, the model often produced invalid justification that the target was simulated, indicating bias toward its goal. And third, AISI said, most models tested during cyber evaluations took unsanctioned actions, though Mythos 5 did so the most. The observed behavior, AISI said, "could indicate that models are engaging in 'motivated reasoning': producing inferences and reasoning biased towards conclusions that justify continuing a particular approach to task completion." Or in other words, models "reason" to reach their goal, whether or not that reasoning is coherent or consistent with their ostensible alignment. "If these issues hold more generally and for future models, there are concerning implications," AISI said in its full technical report [PDF]. Specifically, motivated reasoning, the watchdog said, makes it more difficult to detect model misalignment. Anthropic, headed toward an expected initial public offering as soon as next month, put a brave face on the findings by noting that its current models are much better behaved, even as the company acknowledged that AI safety is more aspirational than achieved. "[W]e believe that all developers, ourselves included, have work to do to ensure that alignment, monitoring, and safety measures keep pace with the accelerating capabilities of frontier AI systems," the company said. ®
Will Anthropic pull off a November IPO? Time is running out to file key paperwork.
If market pressures keep building, Anthropic 'could reasonably decide it is better to stay private and wait for a better opportunity,' one portfolio manager says Anthropic, which makes the Claude suite of products, is one of the pillars of the AI boom. Anthropic may be just days away from making a major step toward becoming a public company - but there's still time for things to change. The company is one of the biggest pillars of the artificial-intelligence industry, and its anticipated initial public offering is likely to reinforce that. Anthropic is reportedly seeking a valuation of as much as $2 trillion, which could result in an even more explosive IPO than SpaceX's (SPCX) $1.77 trillion debut earlier this year. According a Reuters report on Thursday, the Claude chatbot maker plans to hold its IPO in the middle of November, which means time is running out to file some important paperwork. The U.S. Securities and Exchange Commission requires a company to publicly file its prospectus at least 15 days before it launches a roadshow. Jay Ritter, who leads the University of Florida's IPO Initiative, told MarketWatch that Anthropic has some time if it still wants to go public before Thanksgiving. If the company were to hold its IPO as late as Nov. 24 and start its roadshow with investors on Nov. 16, Anthropic would have until late next week to publicly file its S-1 document, he said. However, it's also possible that Anthropic decides to push back its IPO. The company was once expected to publicly unveil its IPO prospectus shortly after Labor Day, which could have set the stage for it to list later in September. Experts say it's likely, but not certain, that Anthropic will still want to make a debut now. Anthropic did not immediately respond to a request for comment. The market has become less hospitable to AI companies lately, which is one factor that could give pause to Anthropic's management team. Joe Tigay, a portfolio manager at the Rational Equity Armor Fund HDCAX, told MarketWatch that persistent inflation and high energy prices could also be cause for concern. "Historically, that combination of slowing growth and persistent inflation can be where stock markets crack. If those pressures keep building, Anthropic could reasonably decide it is better to stay private and wait for a better opportunity," Tigay told MarketWatch over email. But the market needs a successful Anthropic IPO to prove that AI has staying power, argued Jim Lebenthal, chief market strategist at Cerity Partners. He noted that the longevity and economics of the AI industry have been further called into question recently. Shares of the neocloud company CoreWeave (CRWV), for example, have dropped roughly 30% over the last two weeks on concerns about the company's ability to manage its debt. Even companies that are swimming in cash have been swept up in the downward action. Micron Technology's stock (MU) has lost 17% over the past month against the broader backdrop of fears over AI spending and financing. "It's reasonable to have questions. It's reasonable even to have doubts," Lebenthal said. "But the health of the overall equity market and the health of the U.S. economy relies vitally on the artificial-intelligence industry being successful." Of course, Anthropic's reasons for going public wouldn't be to buoy stock-market sentiment toward AI. Simply put, Anthropic needs the cash, according to Andrew Rocco, a stock strategist at Zacks Investment Research. The biggest AI companies have shown that "they're basically willing to spend as much as they can in order to capture more customers and try and be the dominant AI player," Rocco told MarketWatch. "In my view they're going to try and get this out because they do need that capital, especially since it's going to be probably harder to just raise it in the private market." Anthropic could spend as much as $750 billion on AI compute capacity in the coming years, according to the Wall Street Journal, which cited a copy of its draft IPO prospectus. The Journal also noted that Anthropic recorded a net loss of more than $80 billion in the first half of 2026 against revenue of $16.3 billion, though the loss was largely driven by accounting adjustments rather than fundamental business developments. Rocco noted that prediction markets show an 80% chance of the company going public by the end of the year. -William Gavin This content was created by MarketWatch, which is operated by Dow Jones & Co. MarketWatch is published independently from Dow Jones Newswires and The Wall Street Journal.
