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AI NewsAnthropic co-founder confirms the company briefed the Trump administration on Mythos

Anthropic co-founder confirms the company briefed the Trump administration on Mythos

1:54 AM IST ¡ April 15, 2026

Anthropic co-founder confirms the company briefed the Trump administration on Mythos

Jack Clark, one of Anthropic’s co-founders who also serves as Head of Public Benefit for Anthropic PBC, confirmed that the AI company had briefed the Trump administration about its new Mythos model. The model,announced last week, is so dangerous that it’s not being released to the public, largely due to its alleged powerful cybersecurity capabilities. In an interview at theSemafor World Economy summitthis week, Clark explained why the company was still engaged with the U.S. government while simultaneously suing them. This March, Anthropicfiled a lawsuitagainst Trump’s Department of Defense (DOD) after the agency labeled the company a supply-chain risk. Anthropic had clashed with the Pentagon over whether the military should have unrestricted access to Anthropic’s AI systems for use cases that included mass surveillance of Americans and fully autonomous weapons. (OpenAI ended upwinning the dealinstead.) At the conference, Clark downplayed the administration’s labeling of its business as a supply-chain risk, saying it was merely a “narrow contracting dispute” and that Anthropic didn’t want it to get in the way of the fact that the company cares about national security. “Our position is the government has to know about this stuff, and we have to find new ways for the government to partner with a private sector that is making things that are truly revolutionizing the economy, but are going to have aspects to them which hit National Security, equities, and other ones,” said Clark. “So absolutely, we talked to them about Mythos, and we’ll talk to them about the next models as well.” His confirmation comes afterreportslast week that Trump officials wereencouraging banks to test Mythos, including JPMorgan Chase, Goldman Sachs, Citigroup, Bank of America, and Morgan Stanley. Clark also addressed other aspects of AI’s impact on society during the interview, including things like unemployment and higher education. Previously, Anthropic CEO Dario Amodei has warned that AI’s advances could bring unemploymentto Depression-era numbers, but Clark slightly disagrees. He explained in the interview that Amodei believes that AI will get much more powerful than people expect very quickly, so he’s using that as the basis of his estimations. Clark, who leads a team of economists at Anthropic, said that the company is so far only seeing “some potential weakness in early graduate employment” across select industries. He noted that Anthropic is ready in case there are major employment shifts, however. Pushed to say what majors college students today should be pursuing or avoiding, as a result of AI’s impacts, Clark would only broadly suggest that the most important majors are those that “involve synthesis across a whole variety of subjects and analytical thinking about that.” “That’s because what AI allows us to do is it allows you to have access to sort of an arbitrary amount of subject matter experts in different domains,” Clark said. “But the really important thing is knowing the right questions to ask and having intuitions about what would be interesting if you collided different insights from many different disciplines.”

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Cognition CEO denies report that SpaceX tried to acquire the startup

Cognition CEO denies report that SpaceX tried to acquire the startup

Elon Musk’s SpaceX attempted to acquire AI coding startup Cognition as it works to catch up to OpenAI, Anthropic, and Google in the AI race,Bloomberg reported Wednesday, citing sources familiar with the matter. Cognition CEO Scott Wu disputed the report soon after it published, writing on X that the story was inaccurate and that Cognition “is not for sale,” adding that the two companies haven’t been in talks. The report comes a few days after SpaceX’s$60 billion acquisitionof Cursor, another AI coding startup, whose dealclosedlast week. SpaceX acquired Musk’s AI company, xAI, earlier this year. It then went public in ablockbuster IPO inJune, with its market capitalization rising to nearly $2.3 trillion at its peak. SpaceX has sold investors on its AI ambitions, which include eventually buildingdata centers in space. But the xAI business remains relatively early-stage and has fallen behind competitors. It’s also had to contend with its chatbot Grok’s penchant for controversy, including last year’s“MechaHitler”incident and this year’snonconsensual sexual imagery scandals, as it tries to win over enterprise customers. Last week,Musk told SpaceX’s employeesthat in about “four or five years, AI will be 99% of the value” of the company, but achieving that feat will require SpaceX to pull in much more revenue from AI. AI-assisted coding has emerged as one of the clearest ways to monetize the technology. Anthropic’s meteoric growth, fueled in large part by Claude Code, is proof of that. Bringing Cursor into the fold was part of that equation, and the companies were already working together before the acquisition closed. This month, Cursor and SpaceX jointly released Grok 4.6, a new model that scores higher on benchmarks for coding and complex multi-step agentic tasks. Adding Cognition and its coding agent Devin — along with an enterprise customer base that includes Mercedes-Benz, Citi, and Goldman Sachs — would have given SpaceX another way to deepen its push into AI coding and compete for enterprise customers. Bloomberg reports that the deal talks are no longer active, but that the companies are still discussing working together — potentially with Cognition using SpaceX’s computing capacity, which the company isselling to other AI playerslike Anthropic until it needs that capacity for itself. Wu didn’t address this specific claim in his denial. Cognition remains one of the largest independent AI software coding startups that hasn’t yet been gobbled up by a major AI model maker. The company in late May raised a$1 billion roundat a $25 billion post-money valuation, and Bloomberg reports it’s now in early talks for a new round of funding at a$40 billion valuation. Cognition made headlines last year when it acquired the remaining assets of competitor Windsurf afterGoogle DeepMind acqui-hiredthe startup’s CEO and top research in a $2.4 billion deal for talent and licensing rights. After the merger,Cognition laid off 30 employeesand offered buyouts to the remaining 200 Windsurf employees. Those who decided to stay faced strict operational expectations, like a more than 80-hour workweek and six days in the office. That sort of wartime work ethic wouldn’t be out of place in a Musk company. Musk has said he works up to 120 hours a week and often sleeps on office or factory floors. SpaceX and Cognition did not respond to requests for comment.

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OpenAI seeks to one-up Anthropic with new customer privacy protections

OpenAI seeks to one-up Anthropic with new customer privacy protections

As AI models have become more powerful, the potential for those models to be misused has grown — as has a clamor for safety guardrails that can stop such abuse from happening. AI companies must now walk a delicate tight rope between respecting their enterprise customers’ privacy while also watching usage for possible issues. Sensing an opportunity to one-up its rival Anthropic, OpenAI just announced a privacy-centric safety approach to monitoring for misuse. The companyis previewinga new service to select customers that it calls Private Safety Processing. This is an automated system that watches for potential abuse while simultaneously retaining none of the customer’s data. This system clearly runs counter to Anthropic’srecently announceddata-retention policy. The policy, which has aggravated some customers, enables the AI lab to keep user data (all of their sessions — and the conversations therein) for a period of 30 days, when it comes to “covered models.” Those models include all Mythos-class models and “future models with similar capabilities,” the company says. This policy, which was announced in July, was designed for the purposes of safety, allowing the lab to sift and analyze potential impropriety. However, ithas deeply concernedsome enterprises that handle large amounts of sensitive data and don’t want it harbored (or inspected) by the AI lab. OpenAI — like most other AI companies — already afford customers a relative level of privacy by adhering to a policy known as Zero Data Retention. ZDR uses agents within the OpenAI API to monitor for abuse on a per session basis. In this way, customer data isn’t retained by the company but companies are still able to scan for bad activity without the need for human intervention. It’s worth noting that Anthropic also largely abides by ZDR — except when it comes to “covered models,” like Fable. OpenAI says that Private Safety Processing is a new technology that widens ZDR’s scope. It describes it as a form of long-horizon safety monitoring that assesses the inputs and outputs of multiple conversations — not just one. Again, the monitoring is conducted by an agent, which, if triggered, catches interactions and analyzes them across sessions for signs of potential misuse. The new tech helps OpenAI detect malicious use of AI that takes place over multiple sessions, a spokesperson told TechCrunch. A bad actor — hypothetically someone trying to engineer malware for a cyberattack — may spread out their requests to avoid detection. Private Safety Processing can analyze those multiple conversations for signs of abuse without human review of a user’s conversations. In the case where the system is triggered, it may send a “narrowly defined signal” to OpenAI that warns of a specific type of activity, the company says. Based on that signal, OpenAI can then decide whether “enforcement is necessary,” it says. If so, OpenAI will reach out to the customer for more context or to work with them on the issue and a customer may choose to share data with OpenAI at their discretion, the spokesperson said. By contrast, Anthropic notes that human review of customer data can occur, but only “through a controlled access path” that involves “a small set of approved reviewers.” Every one of those review sessions is “recorded in a tamper-proof log that reviewers cannot suppress or modify,” the company says. The corporate competition between OpenAI and Anthropic is tense at the moment, with both companies looking for any opportunity to gain an advantage on the other. Arecent reportshowed that OpenAI’s Q2 grew more slowly than Anthropic. Anthropic’s annualized revenue run rateis now reportedly $65 billion. Anthropic investors have said itcould IPO at $2 trillion, while OpenAIis also working on its IPO.

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Stripe didn’t really buy OpenRouter because of the ‘singularity’

Stripe didn’t really buy OpenRouter because of the ‘singularity’

Stripeconfirmedon Wednesday that it was buying OpenRouter. While the company didn’t disclose the deal price, sources told the New York Times that it paid $7.5 billion. That’s a huge step up from OpenRouter’s$1.3 billion valuation in May. To put that price in context, the founders alone will reportedly receive $1.5 billion from the sale — more than the startup’s entire valuation just three months ago. Investors will get the remaining $6 billion, according to the NYT. Stripe reportedly had to outbid others interested in the fast-growing startup,including Databricks. But the question is: what does a payments giant want with a startup that routes prompts between different AI models? The short and funny answer, according to a leaked letter from Stripe’s founders to its investors about the deal, is: the singularity. “It’s a fuzzy and perhaps already overworked term but we decided that January 1 marked the beginning of the singularity and we’ve been operating on that basis,” they wrote in the letter,published by Eric Newcomer, and verified by TechCrunch. The singularity is supposed to mean the point at which humans and the tech we’ve created merge to become a new species. This is obviously a tongue-and-cheek reference (as Patrick Collison admitted whenusing the term it at his company’sconference in April). We’re fairly certain Stripe’s founders, the brothers Patrick and John Collison, don’t think humanity started turning into The Borg eight months ago. But they have referred to the economic uptick that AI is bringing to Stripe. With AI, more companies are being launched and more of them are using Stripe’s offerings. Stripe says that 88% of the Forbes AI 50 are using its products, including OpenAI and Anthropic, as do100% of Brex’s fastest-growing startups.No one knows how AI and agents will change the economy of the future, but everyone is certain it will change it dramatically. That still doesn’t explain why Stripe wants a company mostly known for helping developers manage their model usage. Stripe’s founders acknowledged that their customer bases overlap. “OpenRouter is exceptionally useful for any developer and Stripe is one of the world’s largest developer platforms,” the founders write in their letter. No doubt that just using OpenRouter internally will probably offer significant benefits to Stripe and make it easier to roll out future model-agnostic agentic offerings, too. It seems as if OpenRouter will continue to operate independently after the deal closes in a few weeks, or so the startup promised inits own blog post, saying that its “product, mission, and current commitments remain unchanged.” Still, until now, most of Stripe’s large acquisitions have been related to helping people collect and manage incoming cash. Buying OpenRouter looks like a move to other side of the ledger, too: expense management, beginning with AI expenses. This acquisition “is Stripe’s deliberate attempt to embed itself into the middle of capital flows in the AI era,” said PitchBook’s research analyst Franco Granda. It’s joining an unusual assortment of companies also entering token expense management. Databricks developed its ownAI gateway.Rippling just launched one focused onemployee AI spend and ROI. Ramp just launched one,also for AI expense management. And the list goes on. For Stripe, buying the granddaddy of popular AI gateways for developers gives it insight into how coders are using AI. But it also gains a lever on AI demand itself. OpenRouter will grant it “some degree of power over suppliers such as the frontier labs themselves, as well as hyperscalers and neoclouds,” Granda said. It may not be the Borg, but payments plus token expense management and a model router? That’s a lot of power.

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Meet the startup helping Wall Street put a price on AI compute

Meet the startup helping Wall Street put a price on AI compute

Loading the player… The AI buildout shows no signs of slowing. And with hundreds of billions of dollars a year going into data centers and GPUs, compute has become the single biggest cost for anyone building AI products. But for all that spending, there still isn’t a straightforward way to put a price on compute — or for firms to hedge their exposure when the price changes. Silicon Data just closed a $30 million Series A to change that. The startup aims to become the reference price for GPU rental and an index that a Wall Street futures contract would settle against. The company plans to launch its compute futures tradingon the CME October 5th, pending regulatory approval.On this episode of TechCrunch’sEquitypodcast, Rebecca Bellan is joined bySteve Hou, head of research at Silicon Data, to discuss the health of the AI buildout, and why the data is telling a different story than the doom and gloom headlines about depreciating chips andstalleddata centers. Subscribe to Equity onYouTube,Apple Podcasts,Overcast,Spotifyand all the casts. You also can follow Equity onXandThreads, at @EquityPod.

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