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Palantir report on Anthropic’s military hesitancy sparked rift with Pentagon, sources say

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The escalating tension between the Pentagon and AI startup Anthropic was reportedly triggered by Palantir, a key collaborator with both the company and the US Department of Defense.

According to a report by Semafor, Anthropic stands as one of the few “frontier” large language models authorized for classified US government use, made accessible through Amazon’s Top Secret Cloud and Palantir’s Artificial Intelligence Platform (AIP).

This integration led to the Claude chatbot appearing on the screens of officials monitoring the movements of then-Venezuelan President Nicolás Maduro. The tracking of Maduro and the potential for military intervention reignited a wave of activism within Silicon Valley regarding the deployment of proprietary tech products in US government operations.

Shortly after the operations involving Maduro, a Palantir executive held a routine check-in with an Anthropic official. During this dialogue, the Anthropic representative reportedly discussed the operation with the Palantir executive. Following the exchange, the Palantir official concluded that Anthropic did not approve of its Claude technology being utilized for such tactical purposes.

Concerned by the implication that Anthropic might resist the application of its technology in US military operations, the Palantir executive reported the conversation to the Pentagon. A senior Defense Department official confirmed this sequence of events to Semafor.

According to several individuals briefed on the matter, this report led to a significant breakdown in Anthropic’s relationship with the Pentagon. Semafor previously reported that Defense Secretary Pete Hegseth criticized Anthropic in a speech on January 12. Referring implicitly to the company, Hegseth stated, “We will not use AI models that you cannot use to fight.”

An Anthropic spokesperson characterized the account of the meeting between the company and Palantir as “inaccurate.” The spokesperson asserted that the company “has not discussed this matter or expressed concerns with any industry partner outside of routine discussions on purely technical issues.”

“Anthropic is committed to utilizing frontier AI to support US national security,” the spokesperson continued. “To this end, we were the first frontier AI company to deploy our models on classified networks and the first to offer customized models for national security customers. Claude is used across the government, including the Department of Defense, in a wide range of intelligence-related use cases, in accordance with our Usage Policy.”

However, Anthropic has reportedly declined to sign an “all legal uses” contract with the Pentagon—an agreement that would ensure Claude’s unrestricted deployment. Sources close to the matter indicate that Anthropic is seeking specific exemptions that would prohibit certain types of surveillance and the development of autonomous weapons. These sources suggest that the relationship between Anthropic and the Pentagon has deteriorated significantly since these negotiations stalled.

A Defense Department official suggested to Semafor that the military is beginning to lose confidence in Anthropic, viewing its models as a potential “supply chain risk.” The official further indicated that there have been vague threats to bar subcontractors, such as Palantir, from utilizing Anthropic’s technology.

Such a formal designation, though rarely invoked by the Pentagon, could alienate private sector clients and threaten Anthropic’s business prospects as the company prepares for an initial public offering (IPO) later this year.

Behind the scenes, the two parties continue to negotiate contract terms. “We are engaged in productive, good-faith discussions with the DoW [Department of War] on how to continue this work and resolve these complex issues,” the Anthropic spokesperson said.

In May, Semafor reported that Anthropic had drawn the ire of the Trump administration by lobbying against legislation that would prevent states from adopting their own AI regulations. While Anthropic claims to be seeking to avoid “fragmented” laws that could slow innovation, critics have accused CEO and co-founder Dario Amodei of a cynical attempt at regulatory capture to stifle competition.

White House AI Lead David Sacks described the move as a “sophisticated regulatory capture strategy based on fear-mongering,” a charge Anthropic denies. Anthropic also faced White House scrutiny in September after refusing requests from companies working with federal law enforcement, citing a refusal to grant exceptions for tasks involving the surveillance of US citizens.

Military planners now express concern over relying on vendors like Palantir if there is a risk that a critical technology component could be withdrawn mid-operation due to a violation of the supplier’s usage policies. Military officials speaking to Semafor emphasized their belief that suppliers should have no role in determining how the Pentagon employs technology during active operations.

Conversely, Semafor technology editor Reed Albergotti suggested that Claude did not play a specialized role in the Maduro incident. “I spoke with employees at Palantir about how exactly the company uses frontier language models like Claude, and the reality is that these models typically represent only about 10% to 20% of any customized software application,” Albergotti noted. “We are still far from the Joint Chiefs creating a ‘General Claude’ chatbot to run the military.”

As Albergotti explained, Palantir develops bespoke software solutions and typically utilizes language models to make these programs more accessible or to assist with specific, open-ended data mining tasks that aid strategic analysis.

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US fiscal outlook unlikely to see major relief from AI boom, Yale model shows

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If the United States experiences an artificial intelligence-driven productivity boom in the coming years, it will translate into stronger economic growth, but the benefits to the nation’s fiscal outlook will remain limited.

With US public debt already high and rising rapidly, and given the lack of political will to reduce deficits through traditional measures such as spending cuts and tax increases, many have pinned their hopes on an AI boom to allow the country to grow its way out of its fiscal challenges.

However, new modeling from the Yale Budget Lab, reported by Axios, reveals that while an AI-driven productivity surge would improve the fiscal situation, the positive impact would not be as substantial as widely anticipated.

The primary reason is that a large portion of national income is highly likely to shift away from labor—which the US taxes at relatively high rates—and toward machines and software, or capital, which face lower tax rates.

The top federal income tax rate on labor income is 37%. In contrast, the corporate tax rate is 21%, while the top rate on long-term capital gains is 23.8%.

Furthermore, a significant portion of capital ownership is held through tax-exempt vehicles, such as retirement accounts and charitable foundations.

Consequently, even if companies generate higher profits through AI while spending less on human labor, these profits will not translate into the kind of revenue growth seen during past economic expansions, when the labor share of national income remained more stable.

In a scenario where AI provides only a slow boost to GDP growth, the Yale team’s model indicates there would be very little change in federal revenues by 2030.

Under a rapid AI-driven growth scenario, where annual GDP growth reaches 3.3% in the coming years and the labor share of income falls, federal revenues would increase by $216 billion in 2030.

According to the Congressional Budget Office’s baseline projection, the US budget deficit in 2030 will stand at $2.2 trillion.

This deficit figure is approximately ten times larger than the revenue increase projected under the Yale team’s most optimistic AI growth scenario.

“On the one hand, all else equal, faster productivity growth will yield more tax revenue,” wrote John Iselin and Ryan Nunn of the Yale Budget Lab. “On the other hand, our current tax system may not be structured to efficiently raise revenue from the economic activity AI creates.”

Speaking to Axios, Iselin added: “While we project that the growth of AI will increase tax revenues, without significant changes to how the US taxes capital income, the federal government will leave substantial revenue on the table.”

These projections are not definitive forecasts. The range of possibilities for how an AI boom might unfold and affect the fiscal landscape remains vast.

Axios highlights several critical questions:

How far will the labor share of income fall? How will this shift affect inequality among wage earners?

On the spending side, will the existing social safety net face massive liabilities to support displaced workers, or will job losses become so widespread that Congress is forced to offer more extensive aid than current laws dictate?

Tax policy is not set in stone. In a world where AI displaces human employment and the US faces a fiscal dilemma, Congress could consider shifting a greater share of the tax burden onto capital.

Ultimately, the objective is not to treat the Yale Budget Lab’s data as absolute truth. Rather, it is to demonstrate that the interaction between an AI-driven growth surge and federal tax revenues is not as direct or positive as those confronting an intractable deficit problem might hope.

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Anthropic reaches historic $1.5 billion settlement with authors in landmark AI copyright lawsuit

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Anthropic has reached a $1.5 billion settlement with a group of authors who accused the artificial intelligence company of using their books without authorization to train its Claude chatbot. The class-action settlement was approved by a federal court in San Francisco.

The agreement marks the first major lawsuit among dozens filed by rights holders against technology companies in the US to resolve with a significant settlement.

The authors initiated the lawsuit in 2024, accusing Anthropic of using pirated versions of their books to train its AI models without securing the necessary permissions.

According to a report by Reuters, Aparna Sridhar, Anthropic’s Head of Issues and Policy, said in a statement: “We reached this agreement in 2025. The settlement follows a landmark court ruling, which remains valid today, establishing that training artificial intelligence on books constitutes fair use under copyright law.”

Justin Nelson, an attorney representing the plaintiff authors, described the development as a “historic settlement.” Nelson added that the agreement reached with Anthropic could be considered the largest monetary payout in the history of copyright law.

Meanwhile, some authors and publishers declined to participate in the class-action lawsuit, choosing instead to file independent lawsuits against Anthropic. The judicial processes for these individual cases against the company are ongoing.

Prior to this development, Anthropic filed a lawsuit against the Pentagon in March to challenge an attempt by the US Department of Defense to blacklist the company on national security grounds.

In June, the US government decided to block foreign users from accessing the company’s most advanced AI models, Fable 5 and Mythos 5.

David Sacks, a US investor and Co-Chair of the President’s Council of Advisors on Science and Technology, explained that the restriction was implemented after it was discovered that the integrated safety mechanisms within the models could be bypassed.

Two weeks after that restriction was imposed, the US government restored access to the most powerful model, Mythos 5, for select American entities, including major corporations and government agencies.

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US voter support for Iran conflict collapses as fuel prices surge and midterm risks mount

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American voter support for the war in Iran is eroding rapidly following the collapse of the ceasefire process, with public opposition reaching historic levels in a remarkably short timeframe.

According to a survey conducted by Reuters/Ipsos, four out of five respondents anticipate that the hostilities will persist for a long time. Meanwhile, nearly half of those surveyed in a The Economist/YouGov poll estimate that the war will last for a year or longer. As public backing for the military campaign disintegrates, Donald Trump’s net approval rating for his decision to attack Iran has plummeted to minus 30%.

While it took six years of active involvement in the Vietnam War for public opposition to reach such a critical threshold, the war in Iran has generated a comparable level of rejection in just six months.

Speaking to The Economist, Larry Sabato of the University of Virginia emphasized that the key takeaway is not merely the depth of the opposition, but the unprecedented speed with which it has formed. Sabato noted that the conflict in Iran has registered the lowest level of public support of any American military engagement since polling on such interventions began, a trend that has remained constant since day one. Warning that a prolonged conflict will inevitably drive up costs, Sabato projected that this dynamic will translate into a severe political penalty for Trump and the Republican Party in the upcoming midterm elections.

Historically, US military interventions have initially enjoyed robust public support before gradually decaying over time. For instance, the US-led operations launched against the Taliban in Afghanistan in 2001 initially secured the backing of approximately 90% of the public.

At the time, President George W. Bush presented a clear, direct justification for the invasion, targeting the Taliban for harboring the terrorists responsible for the September 11 attacks. According to Gallup data, it took 13 years for public support for the occupation—which ultimately claimed the lives of more than 2,000 US service members and wounded another 20,000—to fall below 50%.

Economic consequences directly impact voters

Thus far, 17 US service members have been killed in Trump’s war in Iran. While this figure is low from a strictly military standpoint, the economic ramifications of the conflict have directly and rapidly disrupted the daily lives of American consumers.

The closure of the Strait of Hormuz, which was fully open prior to the military operations, has triggered a sharp rise in fuel prices. Although Trump has asserted that the US military presence has broken the regional blockade and enabled oil to flow at higher volumes than ever, concrete economic data does not support his claims.

The price of Brent crude oil has climbed from $72 to $88 per barrel since the beginning of July. In the domestic retail market, the average price of gasoline in the US has risen from approximately $3 per gallon before the war to nearly $4 per gallon.

Gallup historical data shows that during the Vietnam War, which involved large numbers of American ground troops, voters consistently identified the conflict as the most important problem facing the nation.

While the war in Iran has not yet been designated in those exact terms, voters consistently identify the high cost of living and a lack of leadership as their primary concerns in current polling. This shift indicates that despite the relatively low number of military casualties, the war in Iran is poised to become a major electoral liability for the Republican Party.

Support for the military campaign is also sharply polarized along political lines. Among Democratic voters, the net approval rating for the war stands at minus 84%, while among independents it rests at minus 52%.

Even within the “MAGA” Republican base—the only major demographic group to back the initiative, with a 72% approval rating—cracks are beginning to appear. According to a Washington Post/Ipsos poll, more than half of Trump’s core supporters indicated for the first time that they approve of his job performance only “partially” rather than “strongly.” Among Republicans who do not self-identify with the MAGA movement, support for the war has swung from a positive net approval of 26% in April to a net negative of 25%.

Budgetary debates in Congress

In response to the shifting public mood, Democratic lawmakers are intensifying their opposition. During the July 14 confirmation hearing for Jules Hurst, the nominee to oversee the Pentagon’s budget, Democratic senators accused the administration of systematically understating the financial toll of the conflict.

The Pentagon has put the cost of the war at approximately $30 billion, asserting that the figure primarily reflects spent munitions and fuel.

However, Senator Elissa Slotkin, a Democrat from Michigan, estimated that the true cost is more than six times that amount when factoring in the repair costs for American bases and the broader economic damages suffered by consumers. Slotkin also criticized the Pentagon’s commercial relationships with companies in which Trump’s sons hold business interests.

Conversely, Representative Mike Lawler, a Republican fighting to retain his seat in a highly competitive district in New York, dismissed the opposition’s criticisms as “nonsense.”

Lawler argued that Trump made a difficult but necessary decision to eliminate the threats posed by Iran’s nuclear program and its active sponsorship of terrorist groups. While acknowledging that he does not know how long the conflict will last, Lawler maintained that the Iranian regime is untrustworthy and only understands the language of military force. His Democratic opponent, military veteran Cait Conley, countered that Trump has dragged the United States into a conflict lacking clear military objectives or a viable exit strategy.

According to The Economist‘s midterm election forecasting model, Lawler faces a 68% probability of losing his seat in November. The same model projects an 82% probability that Democrats will win a majority in the House of Representatives, and a 45% chance of taking control of the Senate.

Aaron David Miller of the Carnegie Endowment for International Peace observed that Trump’s compounding difficulties in extricating the US from Iran recall the famous lament of former US President Lyndon Johnson during the Vietnam War: “I feel like a hitchhiker caught in a hailstorm on a Texas highway. I can’t run, I can’t hide, and I can’t make it stop.”

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