hodler

28 Feb 2026, 21:00

Here's how bitcoin's price rise could be fueled by job-stealing AI software

Bitcoin's future hinges less on technological factors and more on how AI affects growth, employment, real interest rates, and central bank liquidity, NYDIG Research argues.

28 Feb 2026, 16:40

OpenAI’s Pentagon Deal: Sam Altman Secures Crucial AI Contract with Technical Safeguards

BitcoinWorld OpenAI’s Pentagon Deal: Sam Altman Secures Crucial AI Contract with Technical Safeguards In a landmark development for artificial intelligence governance, OpenAI CEO Sam Altman announced a significant defense contract with the Department of Defense on Friday, October 13, 2025, establishing technical safeguards that address critical ethical concerns surrounding military AI applications. This agreement follows a contentious standoff between the Pentagon and rival AI company Anthropic, highlighting the complex intersection of national security, technological innovation, and democratic values in an increasingly automated world. OpenAI’s Pentagon Deal with Technical Safeguards Sam Altman revealed that OpenAI has reached an agreement allowing Department of Defense access to its AI models within classified networks. Importantly, the contract includes specific technical protections addressing two fundamental ethical concerns. First, the agreement prohibits domestic mass surveillance applications. Second, it maintains human responsibility for the use of force, including autonomous weapon systems. These safeguards represent a compromise position between unfettered military access and complete corporate refusal. According to Altman’s public statement, the Department of Defense agrees with these principles and has incorporated them into both law and policy. Furthermore, OpenAI will implement technical safeguards to ensure model behavior aligns with these restrictions. The company will also deploy engineers to work alongside Pentagon personnel, facilitating proper model implementation and ongoing safety monitoring. This collaborative approach distinguishes OpenAI’s strategy from more adversarial industry positions. The Anthropic Standoff and Ethical Divisions The OpenAI agreement emerges against the backdrop of failed negotiations between the Pentagon and Anthropic. For several months, defense officials pushed AI companies to allow their models to be used for “all lawful purposes.” However, Anthropic sought explicit limitations on mass domestic surveillance and fully autonomous weapons. CEO Dario Amodei argued that in specific cases, AI could undermine democratic values rather than defend them. This ethical stance attracted significant support from technology workers. More than 60 OpenAI employees and 300 Google employees signed an open letter endorsing Anthropic’s position. The letter called for industry-wide adoption of similar ethical boundaries, reflecting growing concern among AI developers about potential military applications of their technologies. The disagreement escalated into a public confrontation with the Trump administration. President Donald Trump criticized Anthropic as “Leftwing nut jobs” in a social media post. He directed federal agencies to phase out the company’s products within six months. Defense Secretary Pete Hegseth further intensified the conflict by designating Anthropic as a supply-chain risk. This designation prohibits contractors and partners doing business with the military from engaging commercially with Anthropic. Industry Implications and Regulatory Landscape The contrasting outcomes for OpenAI and Anthropic reveal significant implications for the AI industry. Companies must now navigate complex relationships with government entities while maintaining ethical standards and public trust. OpenAI’s approach demonstrates that negotiated agreements with specific safeguards represent a viable path forward. Conversely, Anthropic’s experience shows the potential consequences of taking a firmer ethical stance against government demands. This situation occurs within a broader regulatory context. Multiple nations are developing frameworks for military AI applications. The United Nations has conducted ongoing discussions about lethal autonomous weapons systems. Additionally, the European Union recently implemented its AI Act, which includes specific provisions for high-risk applications. These global developments create an increasingly complex environment for AI companies operating in defense sectors. Technical Implementation and Safety Protocols OpenAI’s agreement includes several technical components designed to ensure compliance with ethical safeguards. According to Fortune reporter Sharon Goldman, Altman informed employees that the government will permit OpenAI to build its own “safety stack” to prevent misuse. This technical infrastructure represents a critical component of the agreement. Furthermore, if an OpenAI model refuses to perform a specific task, the government cannot force the company to modify the model’s behavior. These technical measures address core concerns about AI system reliability and alignment. They provide mechanisms for ensuring that AI behavior remains within established ethical boundaries. The deployment of OpenAI engineers to work directly with Pentagon personnel facilitates proper implementation and ongoing monitoring. This collaborative technical oversight represents an innovative approach to military-corporate partnerships in sensitive technology domains. Comparison of AI Company Approaches to Military Contracts Company Position Key Safeguards Government Response OpenAI Negotiated agreement • No domestic mass surveillance • Human responsibility for force • Technical safeguards • Engineer deployment Contract awarded with safeguards Anthropic Ethical limitations • No mass surveillance • No autonomous weapons • Democratic values protection Supply-chain risk designation Product phase-out ordered Broader Context and International Developments The OpenAI-Pentagon agreement coincides with significant international developments. Shortly after Altman’s announcement, news emerged about U.S. and Israeli military actions against Iran. President Trump called for the overthrow of the Iranian government. These simultaneous developments highlight the complex geopolitical landscape in which military AI technologies are being deployed. They also underscore the timeliness of ethical considerations surrounding autonomous systems and surveillance capabilities. Globally, nations are pursuing varied approaches to military AI integration: China has aggressively pursued AI military applications with fewer public ethical constraints Russia has deployed autonomous systems in conflict zones with limited transparency European nations have generally adopted more cautious approaches with stronger oversight United Nations discussions continue regarding potential treaties on autonomous weapons This international context creates competitive pressures that influence domestic policy decisions. The United States faces the challenge of maintaining technological superiority while upholding democratic values and ethical standards. The OpenAI agreement represents one approach to balancing these competing priorities. Employee Perspectives and Industry Ethics The open letter signed by hundreds of AI employees reveals significant internal industry tensions. Technology workers increasingly question the ethical implications of their work, particularly regarding military applications. This employee activism represents a relatively new phenomenon in the defense technology sector. Historically, defense contractors faced less internal resistance to military applications. However, AI companies attract employees with strong ethical convictions about technology’s societal impact. This dynamic creates management challenges for AI companies pursuing defense contracts. Leadership must balance government relationships, business opportunities, and employee concerns. OpenAI’s approach of negotiating specific safeguards represents one strategy for addressing these competing pressures. The company’s willingness to publicly advocate for industry-wide adoption of similar terms suggests an attempt to establish ethical norms while maintaining government access. Legal and Policy Implications The Anthropic supply-chain risk designation raises significant legal questions. The company has stated it will challenge any such designation in court. This potential litigation could establish important precedents regarding government authority to restrict commercial relationships based on corporate ethical positions. The outcome may influence how other AI companies approach similar negotiations with government entities. Policy experts note several key considerations: The balance between national security needs and corporate ethical autonomy The appropriate role of technical safeguards in military AI systems The mechanisms for ensuring compliance with ethical restrictions The international implications of differing national approaches These policy questions will likely receive increased attention in coming months. Congressional committees have already announced hearings on military AI ethics. Additionally, multiple think tanks and research institutions are developing policy frameworks for responsible military AI deployment. Conclusion OpenAI’s Pentagon deal with technical safeguards represents a significant milestone in military AI integration. The agreement demonstrates that negotiated approaches with specific ethical protections can facilitate government access while addressing legitimate concerns. However, the contrasting experience with Anthropic reveals ongoing tensions between national security priorities and corporate ethical standards. As AI technologies continue advancing, these complex relationships will require careful navigation. The technical safeguards established in OpenAI’s agreement may serve as a model for future military-corporate partnerships. Ultimately, the evolving landscape of military AI applications will demand ongoing dialogue among government entities, technology companies, employees, and civil society to ensure responsible innovation that protects both security and democratic values. FAQs Q1: What specific safeguards does OpenAI’s Pentagon deal include? The agreement prohibits domestic mass surveillance applications and maintains human responsibility for the use of force, including autonomous weapon systems. OpenAI will implement technical safeguards and deploy engineers to ensure compliance. Q2: Why did Anthropic’s negotiations with the Pentagon fail? Anthropic sought explicit limitations on mass domestic surveillance and fully autonomous weapons, while the Pentagon pushed for “all lawful purposes” access. This fundamental disagreement prevented a negotiated agreement. Q3: What consequences has Anthropic faced for its ethical stance? President Trump ordered federal agencies to phase out Anthropic products, and Defense Secretary Hegseth designated the company as a supply-chain risk, prohibiting military contractors from doing business with them. Q4: How have AI industry employees responded to these developments? More than 360 employees from OpenAI and Google signed an open letter supporting Anthropic’s ethical position, reflecting significant internal concern about military AI applications. Q5: What broader implications does this situation have for AI governance? The contrasting outcomes highlight the complex balance between national security, corporate ethics, and technological innovation, potentially influencing how other nations and companies approach military AI integration. This post OpenAI’s Pentagon Deal: Sam Altman Secures Crucial AI Contract with Technical Safeguards first appeared on BitcoinWorld .

28 Feb 2026, 10:05

Crypto VC Paradigm Plans $1.5B Fund Expansion Into AI and Robotics

Venture capital firm Paradigm is preparing a new $1.5 billion fund aimed at artificial intelligence, robotics and other emerging technologies, marking its clearest push yet beyond the crypto sector that built its reputation. Key Takeaways: Paradigm is raising a $1.5B fund to invest in AI, robotics and other frontier technologies while continuing crypto backing. The firm will use its existing technical team as it expands beyond blockchain-only investments. Paradigm sees growing overlap between AI and crypto, including applications like autonomous payments and smart contract security. The San Francisco-based investor will continue backing blockchain startups while expanding into adjacent industries, according to people familiar with the plan cited by the Wall Street Journal . Paradigm intends to rely on its existing technical investment team to source deals in frontier technologies rather than building a separate unit. Paradigm Manages $12.7B After Launching Record Crypto Funds Regulatory filings show the firm manages about $12.7 billion in assets. It previously launched a $2.5 billion flagship fund in November 2021, at the time the largest dedicated crypto fund, and followed it in 2024 with an $850 million vehicle focused on early-stage blockchain projects. Managers reportedly concluded that limiting investments to crypto alone risked missing promising opportunities developing across computing and automation. The decision reflects a broader shift among technology investors as artificial intelligence reshapes both software and financial infrastructure. Executives have long argued that the fields are interconnected. One example is agent-driven payments, in which autonomous software systems execute transactions using blockchain rails. The concept relies on both AI decision-making and decentralized settlement. Paradigm’s interest in AI is not new. As early as 2023, observers noticed the firm quietly removed Web3-specific language from parts of its website, fueling speculation that it was pivoting away from digital assets. Co-founder and managing partner Matt Huang rejected that interpretation but acknowledged the firm was studying AI’s implications. “We’ve never been more excited about crypto,” Huang wrote at the time, adding that developments in AI were too important to ignore. He argued the technologies should not be seen as rivals, predicting overlap between the two ecosystems. We haven't dropped crypto… The website now emphasizes the research-driven approach we've always had, and doesn't reflect a pivot away from crypto. We remain as excited and committed to crypto as ever. (Check out our recent investments, research writing, policy work, etc).… — Matt Huang (@matthuang) June 6, 2023 That overlap has already appeared in practice. Earlier this month, Paradigm partnered with OpenAI to release EVMbench, a benchmark designed to test whether machine-learning models can identify and patch vulnerabilities in smart contracts, a persistent security challenge in decentralized finance. AI Startups Drew $258.7B in VC Funding in 2025, OECD Says The fundraising effort also comes as venture capital flows heavily into AI startups. According to OECD data , AI companies attracted $258.7 billion in venture funding during 2025, accounting for 61% of total VC investment and roughly doubling their share since 2022. Generative AI firms alone represented 14% of AI-focused funding, with US startups receiving the largest portion. Last month, Andreessen Horowitz secured more than $15 billion in fresh capital, strengthening its standing as one of the most powerful venture capital firms in the US tech sector. The funds span multiple strategies, including infrastructure, applications, healthcare, growth investments and its “American Dynamism” initiative. In 2025 alone, the firm represented over 18% of total venture capital deployed in the United States. Co-founder Ben Horowitz said the fundraising reflects the firm’s core philosophy that venture capital exists to give people opportunities to build companies and create value. The post Crypto VC Paradigm Plans $1.5B Fund Expansion Into AI and Robotics appeared first on Cryptonews .

28 Feb 2026, 09:30

Zilliqa Price Prediction 2026-2030: The Resilient Path to a Potential Long-Term Recovery

BitcoinWorld Zilliqa Price Prediction 2026-2030: The Resilient Path to a Potential Long-Term Recovery As blockchain technology evolves beyond its initial hype cycle, the Zilliqa (ZIL) network presents a compelling case study in specialized scalability. This analysis examines Zilliqa’s price trajectory from 2026 through 2030, grounded in its technological fundamentals, shifting market dynamics, and the broader adoption of sharding solutions. Investors and technologists globally are watching whether ZIL’s unique architecture can fuel a sustained recovery. Zilliqa Price Prediction: Analyzing the Foundation Zilliqa launched in 2017 with a pioneering mission: to solve blockchain’s scalability trilemma through practical sharding. The network executes transactions across multiple, parallel groups of nodes called shards. Consequently, its throughput theoretically increases as more nodes join the network. This technical foundation remains central to any long-term ZIL price prediction. Market data from 2023-2024 shows ZIL often moved independently of major cryptocurrencies, indicating valuation drivers tied to its specific utility and development milestones rather than pure market sentiment. Furthermore, the platform’s shift to a proof-of-stake consensus mechanism in 2022 marked a significant evolution. This change reduced its energy consumption dramatically, aligning it with modern environmental, social, and governance (ESG) considerations that increasingly influence institutional investment. Network metrics, such as daily active addresses and transaction volume, provide a more reliable growth indicator than price alone. Analysts from firms like Messari and CoinMetrics consistently highlight that utility-driven networks with clear use cases demonstrate more predictable long-term valuation patterns compared to purely speculative assets. The 2024-2025 Precursor: Setting the Stage Understanding ZIL’s path to 2030 requires context from the immediate preceding years. By late 2024, Zilliqa had deployed several major protocol upgrades, enhancing its smart contract capabilities and interoperability. The growth of its decentralized finance (DeFi) and non-fungible token (NFT) ecosystems, though modest compared to giants like Ethereum, showed consistent quarter-over-quarter increases. Real-world adoption partnerships, particularly in Southeast Asia for digital identity and supply chain solutions, began translating technological potential into tangible usage. These partnerships are critical; they generate the transaction fees and network demand that underpin the intrinsic value of the ZIL token. ZIL Price Forecast 2026: The Scalability Test By 2026, the broader crypto market is projected to have matured significantly, with regulatory clarity in major economies. For Zilliqa, this period will test whether its sharding architecture can handle enterprise-level demand. Price predictions for 2026 hinge on several verifiable factors. First, the successful implementation of its roadmap’s next phase, which focuses on cross-chain communication and enhanced developer tools, is paramount. Second, adoption metrics must show a compound annual growth rate (CAGR) that outpaces network inflation from staking rewards. Financial modeling based on discounted cash flow (DCF) for utility tokens suggests a range. If network revenue—comprised of transaction fees—grows by 15-25% annually from 2024 levels, a corresponding appreciation in token value is mathematically plausible. However, this growth is not guaranteed. It depends on Zilliqa capturing market share from competing layer-1 and layer-2 solutions. A neutral, evidence-based forecast for ZIL’s average price in 2026 would consider both its technological execution and competitive landscape. Historical volatility must also be factored in, meaning any single price point is less informative than a probable range based on adoption scenarios. Bull Case Scenario: Widespread adoption of its Metaverse-as-a-Service platform and major enterprise contracts drive demand. Base Case Scenario: Steady, organic growth in existing DeFi and NFT verticals continues. Bear Case Scenario: Failure to attract developer mindshare or technical setbacks hinder progress. The 2027-2028 Horizon: Network Effects and Valuation The years 2027 and 2028 are where network effects become critical for any blockchain’s long-term valuation. For Zilliqa, this means its ecosystem must become self-sustaining. New projects should be built on Zilliqa not just for grants, but because it offers the best technical and economic solution for their needs. Price predictions for this period move from pure technology analysis to ecosystem health assessment. Key performance indicators (KPIs) will include the total value locked (TVL) in its DeFi protocols, the monthly active developers, and the diversity of applications beyond finance. Expert blockchain economists, citing papers from the National Bureau of Economic Research, note that token value accrual is maximized when a network becomes a public utility . Zilliqa’s focus on high-throughput, low-cost transactions targets this utility status. If global trends like asset tokenization and decentralized autonomous organizations (DAOs) accelerate, platforms specializing in efficient execution could see exponential demand. Therefore, a 2027-2028 forecast must weigh these macro trends against Zilliqa’s ability to execute its vision and maintain security as its shards expand. Zilliqa (ZIL) Key Growth Drivers & Risks (2025-2030 Outlook) Growth Driver Associated Risk Impact on Price Trajectory Enterprise Adoption of Sharding Competition from other scalable L1s (e.g., Solana, Avalanche) High Potential Upside Expansion of DeFi & NFT Ecosystem Market Saturation & Cyclical Downturns Medium Sustained Growth Regulatory Clarity for Utility Tokens Region-Specific Bans or Restrictions High Systemic Influence Successful Cross-Chain Integration Security Vulnerabilities in Bridge Protocols Medium to High Network Effect Zilliqa 2030 Prediction: The Long-Term Recovery Thesis The ultimate question for the 2030 timeframe is whether ZIL is ready for a long-term recovery. The term “recovery” implies a return to a previous state of health or value. A more accurate framework for 2030 is sustainable growth based on fundamental utility. By 2030, blockchain technology is expected to be deeply integrated into various global industries. Zilliqa’s long-term price potential rests on its position within that integrated future. Will it be a leading network for specific high-frequency use cases like gaming microtransactions, ad-tech, or IoT data settlement? Academic research from institutions like MIT’s Digital Currency Initiative suggests that the blockchain landscape will consolidate around a handful of dominant architectures. Zilliqa’s pioneering work in sharding gives it a first-mover advantage in this niche. However, advantage must be converted into lasting market presence. The 2030 prediction, therefore, is not a single number but a probability distribution. It reflects outcomes based on the platform’s continued innovation, community governance, and ability to scale securely. The most credible analyses avoid sensationalism, instead presenting a data-driven range that acknowledges both the transformative potential of the technology and the fierce competition within the sector. Evidence-Based Reasoning Over Speculation Responsible price analysis distinguishes between speculation and evidence-based reasoning. For Zilliqa, the evidence includes its consistently high transactions per second (TPS) in live environments, its peer-reviewed research on sharding security, and the growing list of academic and corporate partners. These tangible factors contribute more to a genuine, long-term recovery than short-term market pumps. Investors are advised to monitor these fundamental health metrics alongside price charts. The network’s decentralization level, governance participation rates, and treasury management are all critical, non-price indicators of long-term viability that directly influence token economics. Conclusion This Zilliqa price prediction analysis from 2026 to 2030 underscores a fundamental shift from speculative trading to utility-based valuation. ZIL’s potential for a long-term recovery is intrinsically linked to the execution of its technical roadmap and the real-world adoption of its high-throughput blockchain. While market cycles will inevitably cause volatility, the network’s underlying value proposition—efficient scalability via sharding—addresses a persistent need in the digital economy. Therefore, monitoring Zilliqa’s ecosystem growth and development activity provides a more reliable gauge of its future than price movements alone. The path to 2030 will be determined by sustained building, strategic partnerships, and the network’s evolution into a robust public utility. FAQs Q1: What is the main factor that could drive ZIL’s price up by 2030? The primary driver would be widespread, sustained adoption of its sharding technology for enterprise applications and high-frequency decentralized applications (dApps), translating technological usage into direct demand for the ZIL token for transaction fees and staking. Q2: How does Zilliqa’s sharding technology differ from Ethereum’s? Zilliqa implements network sharding at the base layer, processing transactions in parallel groups from its inception. Ethereum moved to a sharded design post-launch with its consensus layer. Zilliqa’s approach was designed specifically for linear scaling with node count, a different architectural philosophy. Q3: What are the biggest risks to Zilliqa’s long-term price recovery? Key risks include intense competition from other scalable blockchains, potential undiscovered security vulnerabilities in its sharding mechanism, failure to attract and retain a vibrant developer ecosystem, and adverse global regulatory shifts affecting utility tokens. Q4: Is ZIL considered a good long-term hold? As with any cryptocurrency, this depends on individual risk tolerance and belief in the underlying technology. From a fundamental perspective, ZIL has a clear utility purpose (powering a scalable smart contract platform), which is a necessary, but not sufficient, condition for long-term value accrual. Diversification within the crypto asset class is widely recommended by financial advisors. Q5: Where can I find reliable data to track Zilliqa’s progress? Reliable data sources include the official Zilliqa blockchain explorer for on-chain metrics, ecosystem dashboards from analytics platforms like DappRadar for dApp usage, and quarterly reports from blockchain analytics firms such as Messari, which provide independent analysis of network health and development activity. This post Zilliqa Price Prediction 2026-2030: The Resilient Path to a Potential Long-Term Recovery first appeared on BitcoinWorld .

28 Feb 2026, 05:20

US Pentagon chief orders Anthropic retaliation designation and lays out the ban

Anthropic is now tagged as a Supply-Chain Risk to National Security by the Department of War, according to U.S. Defense Secretary Pete Hegseth, who posted a long statement on X targeting the AI company. Pete said his department is permanently breaking up with Anthropic, adhering to President Donald Trump’s public demanda that all federal government agencies stop using Anthropic’s tech “immediately.” As Cryptopolitan previously reported, Anthropic wanted two limits on how its AI gets used, saying no fully autonomous weapons and no mass domestic surveillance of Americans. US Pentagon chief orders Anthropic retaliation designation and lays out the ban Pete wrote in his X post that the Department of War simply had “have full, unrestricted access” to Anthropic models for “every LAWFUL purpose.” He also attacked Dario Amodei, Anthropic’s CEO, and said the company used “effective altruism” language while trying to force the military’s hand. Pete then said that the company’s “true objective” was “to seize veto power over the operational decisions of the United States military.” The US defense chief then wrote that Anthropic is “fundamentally incompatible with American principles,” and said its relationship with the U.S. Armed Forces and the federal government had been “permanently altered.” Pete wrote that:- “In conjunction with the President’s directive for the Federal Government to cease all use of Anthropic’s technology, I am directing the Department of War to designate Anthropic a Supply-Chain Risk to National Security. Effective immediately, no contractor, supplier, or partner that does business with the United States military may conduct any commercial activity with Anthropic.” Pete also added a transition window, saying that Anthropic will keep providing services to the Department of War “for a period of no more than six months” so the Pentagon can switch to something else. He ended with, “This decision is final.” The deadline passes after the $200 million deal Anthropic had signed a $200 million contract with the Pentagon in July. After that deal, Anthropic wanted written assurances that its models would not be used in fully autonomous weapons or mass domestic surveillance of Americans. The notes say the Pentagon “strongly resisted” that request. Then the Pentagon set a deadline: 5:01 p.m. ET Friday. The demand was that Anthropic agree that the U.S. military can use the tech for “all lawful purposes.” Obviously, that deadline passed without an agreement. The Pentagon’s contractor web includes every kind of compny, including every operating system vendor, every hardware maker, every hyperscaler, and every supplier in the chain. The Trump administration’s actions is a twisted power grab over its inability to commit war crimes and stalk its own citizens. Anthropic responds to Pentagon, cites 10 USC 3252, and talks court Anthropic responded with its own statement. The company said it had not received direct communication from the Department of War or the White House on the status of negotiations. It said, “We have tried in good faith to reach an agreement,” and said it supports lawful uses for national security. On the label itself, Anthropic called the designation “unprecedented,” and said it is usually reserved for U.S. adversaries and has never been publicly applied to an American company. It said, “We are deeply saddened by these developments.” Anthropic also pointed to its past work with the military. It said it was the first frontier AI company to deploy models in U.S. government classified networks, that it has supported American warfighters since June 2024, and that it intends to keep doing so. The company then said the designation would be “legally unsound” and would set a “dangerous precedent” for any American company that negotiates with the government. It said: “No amount of intimidation or punishment from the Department of War will change our position on mass domestic surveillance or fully autonomous weapons. We will challenge any supply chain risk designation in court.” Anthropic then said Pete implied the label would stop anyone who does business with the military from doing business with Anthropic, and it said Pete “does not have the statutory authority” to back that up. It cited 10 USC 3252 and said a supply chain risk designation can only extend to the use of Claude as part of Department of War contracts, but cannot control how contractors use Claude for other customers. The company has promised that individual customers and commercial contract customers are unaffected, including access to Claude through the API, claude.ai, and other products. It said Department of War contractors would only be restricted on Department of War contract work, if the designation is formally adopted, and use for any other purpose would be unaffected. Meanwhile, Big Tech companies Nvidia, Amazon, and Google would likely have to divest from Anthropic if Pete gets his way, which would also make it nearly impossible to recommend investing in American AI to any investor, or starting an AI company in the United States. This is essentially a lose-lose. Join a premium crypto trading community free for 30 days - normally $100/mo.

28 Feb 2026, 01:04

Trump orders US agencies to halt Anthropic AI use after Pentagon ethics dispute

The US President Donald Trump blacklisted Anthropic, mandating a federal ban on its technology following an intense disagreement between the AI firm and the Pentagon on matters regarding the military’s application of this technology. At this moment, negotiations between Anthropic and the Department of Defense has stalled, as both sides refused to compromise while the deadline to reach an agreement approached. Concerning the Pentagon’s request , sources said officials at the United States Department of Defense headquarters demanded that Anthropic loosen its ethical guidelines, failure to which could result in severe repercussions. Meanwhile, Trump shared a post on Truth Social outlining his viewpoint on the matter. In the post, he noted that, “The Leftwing extremists at Anthropic have made a DISASTROUS MISTAKE by trying to STRONG-ARM the Department of War and forcing them to follow their Terms of Service instead of our Constitution,” further adding that, “WE will determine our Country’s future – NOT some out-of-control, Radical Left AI firm led by people who don’t understand what the real world is like.” Notably, during this time, the deadline was merely one hour away. Anthropic-Pentagon’s dispute sparks security concerns Earlier, Anthropic declined Pentagon officials’ request for contractors to grant approval for the utilization of their systems for any lawful purpose. At this point, the AI firm refused to ease limitations that prevented Claude from being used effectively for mass domestic surveillance or for fully autonomous weapons. Given the intensity of the situation, Trump characterized the incident as a significant threat to US troops and national security. In a statement, he argued that, “Their selfishness is putting American lives at risk, our troops in danger, and our national security in jeopardy.” Following Trump’s argument, reports highlighted that Sam Altman, the CEO of OpenAI, demonstrated efforts to calm things down. Even so, several analysts admitted that reducing tensions remains a tough task . On the other hand, Pete Hegseth, the United States Secretary of Defense, argued that labeling Anthropic a supply chain risk threatened to terminate the connection between US military vendors and the AI company. Hegseth made these remarks roughly 24 hours after the CEO of Anthropic, Dario Amodei, issued a statement alleging that his firm cannot comply with the Defense Department’s request. According to him, the request was against Anthropic’s conscience. This situation prompted analysts to conduct research, which revealed that the defense contract dispute centers on AI in national security. In the meantime, after months of private dialogue, the AI firm recently decided to make the discussion public, noting that the new contract language, framed as a compromise, was written in legal jargon that effectively rendered the stated protections susceptible to constant neglect. Generative AI secures popularity among several companies amid the AI boom era Regarding the heated conflict between Anthropic and the Pentagon, reports highlighted that the generative AI field leverages advanced models to create realistic but inaccurate software code, text, images, and other outputs that closely mimic human creativity. To achieve this outcome, some sources noted that the models function by identifying underlying patterns in the training data to produce context-aware responses to user inputs. At this point, it is worth noting that Generative AI moves beyond mere analysis to actively generating content. According to analysts’ research, this capability could revolutionize numerous industries, including defense. At the same time, developing these models poses serious challenges, including ethical concerns and potential existential risks. Get seen where it counts. Advertise in Cryptopolitan Research and reach crypto’s sharpest investors and builders.