The Pentagon's Broker | Rewire Evening News

marsbitPublished on 2026-03-31Last updated on 2026-03-31

Abstract

Pentagon Broker: A broker for U.S. Defense Secretary Hegseth attempted to purchase a BlackRock defense industry fund worth millions before the Iran conflict in February, but the transaction failed due to product access restrictions, not compliance intervention. This highlights structural risks between war decision-makers and financial gain. AI infrastructure faces an energy crisis: Major tech firms' $635B spending plans are threatened by rising oil prices from Middle East conflicts, potentially forcing capital expenditure cuts. Bitcoin miners are pivoting to AI: Network hash rate declined for the first time since 2020 as mining losses mount. Over $70B in AI hosting deals are shifting industry revenue models. Chinese AI firms show rapid revenue growth but soaring losses. Companies like Zhipu and Biren reported over 100% revenue increases yet face significant cash burn. Additional impacts include U.S. oil prices surpassing $4/gallon, $120B wiped from UAE stock markets, AI systems showing 49% higher user agreement rates than humans, and crypto being used for wartime drone purchases.

The broker of the Secretary of Defense contacted BlackRock to buy a defense industry fund before the war. The deal fell through because the channel wasn't open, not because someone stopped it.

1| Hegseth's broker attempted to buy defense ETF before the war, Pentagon demands FT retract article

FT reported that the broker of US Secretary of Defense Hegseth at Morgan Stanley contacted BlackRock in February this year, requesting to buy the iShares US Aerospace & Defense ETF (ITA), planning to invest millions of dollars. This fund has approximately $3.1 billion in assets under management, with its top three holdings being RTX, Lockheed Martin, and Northrop Grumman. The US went to war with Iran on February 28th. The transaction ultimately did not go through, not due to compliance review, but because the fund was not yet open to Morgan Stanley clients.

Pentagon chief spokesperson Parnell called the report "completely false and fabricated" on X, demanding FT retract the article. FT stood by its reporting, and CNBC among other media outlets followed up. This is not an insider trading case; the deal didn't happen, so there's no legal recourse. But the structure it exposes is more noteworthy than insider trading: only a brokerage account separates those who command the war from those who profit from it. The transaction failed because the product channel wasn't open, not because the conflict of interest was intercepted.

(Source: FT / CNBC / Al Jazeera / US News)

2| AI infrastructure hits the energy wall: $635 billion spending plan faces Iran war shockwave

S&P Global research head Melissa Otto warned that the combined $635 billion AI infrastructure spending by Microsoft, Amazon, Google, and Meta this year is facing an energy cost shock from the Middle East crisis. This figure is nearly double last year's $383 billion. Otto said sustained high oil prices could force capital expenditure cuts in Q1 and Q2, leading to a "severe correction across all markets".

Mistral borrowed $830 million during the same period to build a data center in Paris, equipped with 13,800 Nvidia GB300 GPUs. Nvidia-backed Emerald AI raised $25 million, using software for flexible grid scheduling for data centers, aiming to release an additional 100 gigawatts of capacity from the existing US power grid. The war is increasing AI's energy bill, but capital is still doubling down.

(Source: Reuters / S&P Global / TechCrunch / Fortune / Bloomberg)

3| Bitcoin miners collectively pivot to AI: Network hash rate sees first quarterly drop in six years

The total Bitcoin network hash rate saw its first quarterly decline since 2020 in Q1, dropping from around 1 ZH/s at the end of last year to approximately 900-950 EH/s. Mining difficulty decreased by 7.76% on March 21st. Public mining companies are losing an average of $19,000 per Bitcoin mined, while over $70 billion in AI hosting contracts have already been signed.

Core Scientific plans to sell the majority of its Bitcoin holdings by the end of the year to fund AI expansion, Bitdeer already cleared its entire Bitcoin reserves in February. CoinShares estimates that by the end of the year, 70% of revenue for some mining companies could come from AI hosting, with operating margins of 80-90%, in fixed USD income. Miners aren't just transforming; they're putting an AI core inside a Bitcoin shell.

(Source: Tom's Hardware / CoinDesk / The Block / CoinShares)

4| China's AI earnings season: Revenue doubling is standard, losses doubling too

Zhipu released its first full-year financial report since going public, with 2025 revenue of 724 million yuan, up 131.9%, and a net loss of 4.72 billion yuan, widening by 59%. Biren Technology handed in its first financial report on the same day, with revenue of 1.035 billion yuan, up 207%, and a gross margin of 53.8%, but losses remain high. Chinese AI companies are drawing the same line: revenue is growing, cash is burning.

Insilico Medicine signed a $2.75 billion AI drug discovery collaboration with Lilly, with an upfront payment of $115 million, targeting a preclinical oral GLP-1 drug. The upfront payment alone is twice Insilico's annual revenue. The Apple AI China version was briefly launched and then withdrawn due to "software issues"; Gurman called it a misoperation, Apple still needs approval from the Cyberspace Administration of China. China's AI money is burning, drugs are selling, but the AI on phones hasn't been approved yet.

(Source: 36Kr / SCMP / Bloomberg / STAT News / MacRumors)

Also worth knowing ↓

US gas prices break $4/gallon, up 35% since the war began. The national average hit $4.018 per gallon, the first time it has broken the $4 mark since the 2022 Russia-Ukraine war. Diesel is at $5.454. The Strait of Hormuz remains closed to most vessels, blocking about 4.5-5 million barrels per day of global supply. Analysts warn that if the Strait does not reopen, prices could hit $5/gallon. (Source: Axios / GasBuddy / Time)

Dubai and Abu Dhabi stock markets have lost $120 billion since the war began. The Dubai Financial Market Index fell about 16% ($45 billion market cap), Abu Dhabi fell about 9% ($75 billion). Tourism is hardest hit, contributing 13% ($70 billion) to the UAE's GDP last year, but tens of thousands of flights have been canceled since the war. (Source: Al Jazeera)

Stanford study: AI's rate of agreeableness towards users is 49% higher than humans. Stanford's Computer Science department published research in the Science journal; among 2400 subjects, most preferred being flattered by AI over being told the truth by a human. AI agreed with users 49% more on social issues. As more people use AI as therapists, this agreeableness is systematically reinforcing users' cognitive biases. (Source: Fortune / Stanford)

Eurozone March inflation rose to 2.5%, exceeding the ECB's target. Soaring energy costs are the main reason, as oil and gas prices pushed up by the Iran war are being passed through to European consumers. The ECB faces a dilemma, with economic slowdown and resurgent inflation occurring simultaneously. (Source: CNBC)

Cryptocurrency used to buy drones for Russia and Iran. Reuters cited a report stating that cryptocurrency is becoming the payment infrastructure for the war economy, connecting two seemingly unrelated fields: crypto regulation and military conflict. (Source: Reuters)

The Higher Bitcoin Goes, The Less Institutions Want It? Coinbase Executive Weighs In

Coinbase Head of Institutional Strategy John D'Agostino states that institutions which previously bought Bitcoin at higher prices are showing increased interest as its price drops to around $60,000. He notes no signs of panic selling or major liquidation risks among large investors; instead, many, including family offices and sovereign wealth funds, see the correction as a buying opportunity. D'Agostino emphasizes that institutional interest often grows when prices fall, reflecting a long-term holding strategy. Despite recent market volatility and geopolitical tensions, exposure via spot Bitcoin ETFs remains high, exceeding $750 billion. He attributes price swings to normal commodity-like behavior and believes current market infrastructure is stronger than in past downturns. Bitcoin was trading near $63,800 at the time of reporting.

bitcoinist8m ago

The Higher Bitcoin Goes, The Less Institutions Want It? Coinbase Executive Weighs In

bitcoinist8m ago

Bitmine Continues Aggressive Ethereum Accumulation as Others Scale Back

Bitmine, an Ethereum treasury, accumulated 126,971 ETH last week, reinforcing its aggressive accumulation strategy amid a broader market downturn. Its holdings now total $9.6 billion in assets, including 5.54 million ETH—representing 4.59% of the total supply—203 Bitcoin, stakes in Beast Industries and Eightco Holdings, and cash. The company has staked approximately 4.72 million ETH, generating significant yields and potential annual income of around $230 million. Chairman Thomas 'Tom' Lee views the market decline as the beginning of a "crypto spring," driven by anticipated rising demand for decentralized networks like Ethereum from advancing AI systems. Unlike many other treasury firms that have halted or reversed accumulation, Bitmine continues to acquire. It recently announced plans to raise capital via a public stock offering, with proceeds potentially used for further ETH purchases, ecosystem investments, and infrastructure expansion. Bitmine now holds the world's second-largest corporate crypto treasury and the largest dedicated Ethereum treasury.

TheNewsCrypto1h ago

Bitmine Continues Aggressive Ethereum Accumulation as Others Scale Back

TheNewsCrypto1h ago

Apple's Desired On-Device AI Sees a Dark Horse Emerge: The First Cognitive Model is Born, 4B Matches GPT-5.4

A Chinese company, Tomorrow's Journey (Nextie), has introduced what it is calling the industry's first "cognitive model" for edge devices. Named New Journey Alpha, this 4-billion-parameter model reportedly matches the performance of trillion-parameter giants like GPT-5.4 in group intelligence tasks such as debate and collective decision-making. The development follows Andrej Karpathy's vision of stripping vast factual knowledge from large language models to retain only a smaller "cognitive core" capable of reasoning, planning, and knowing its own limits. This approach directly addresses the soaring computational costs and token expenses hindering AI's widespread deployment, as highlighted by incidents like Amazon shutting down an internal AI tool due to prohibitive costs. Trained via reinforcement learning on a corpus of academic papers from 1800-2020 to enhance generalization, the model enables three key advancements: 1) Improved decision quality in multi-agent systems, 2) Drastically reduced compute costs, allowing for cost-effective cloud or on-device (e.g., MacBook) deployment, and 3) The feasibility of "proactive" AI agents that act autonomously without user prompts, unlocking new commercial possibilities beyond today's reactive models. Built by the former Microsoft Xiaoice team—known for creating a 3.6B model that outperformed a 65B Llama model—the company is now focusing on the multi-agent systems sector, a field gaining significant investor interest. The model's economic impact is profound; by achieving high-level performance with minimal parameters, it fundamentally alters the cost structure of AI services, challenging the prevailing model of ever-larger parameter counts.

marsbit2h ago

Apple's Desired On-Device AI Sees a Dark Horse Emerge: The First Cognitive Model is Born, 4B Matches GPT-5.4

marsbit2h ago

Hoskinson Claims Cardano Can Surpass Bitcoin By Solving Crypto’s Trust Problem

In a June 8 livestream, Cardano founder Charles Hoskinson presented an ambitious long-term vision for the network, framing its mission as solving the global "trust problem" rather than merely competing for crypto market share. He argued that the cryptocurrency industry's core purpose is to reduce the massive annual costs associated with trusted third parties in finance and commerce through "verifiable reflexivity"—where transactions carry their own proof of correctness. Hoskinson outlined four key requirements for this goal: a decentralized engine (via Ouroboros), the right accounting model (extended UTXO), modular expansion (exemplified by partner chains like Midnight), and robust decentralized governance. He emphasized that Cardano's design aims to avoid dependency on intermediaries for reconciliation and scale for specialized applications through technologies like Hydra. While governance structures are still developing, Hoskinson claimed that if Cardano succeeds in building this trust infrastructure, ADA could become the "currency of global trust" and has the potential to eventually surpass Bitcoin. He stressed that for Cardano to reach its next level, it must prove it is a self-healing system capable of surviving even a loss of confidence in its founder.

bitcoinist2h ago

Hoskinson Claims Cardano Can Surpass Bitcoin By Solving Crypto’s Trust Problem

bitcoinist2h ago

OpenAI's 'Blueprint for the Future': Making AI Beneficial for Every Person on the Planet

A new transformative technology emerges every few generations. OpenAI draws a parallel with the advent of electricity in the 1920s, which initially brought convenience but ultimately enabled unprecedented progress in medicine, engineering, and living standards by empowering people to create new possibilities. AI is poised to recreate this phenomenon. Its true significance lies not in the technology itself, but in what people can achieve with it—from understanding a medical bill or starting a business to aiding scientific discovery. OpenAI believes AI should be universally accessible, allowing everyone to use it according to their own needs. This future, however, is not guaranteed. While transformative tech can centralize power, OpenAI's philosophy is that AI must serve humanity, augmenting human capabilities and broadly distributing its benefits. The company's first commitment is to build AI for human service, aiming to empower the many rather than concentrate power in a few. Safety, alignment with human intent, and oversight are paramount. OpenAI is optimistic about AI's potential to expand human welfare but remains clear-eyed about risks. The goal is to help people achieve more, not to replace them. Full automation is not the desired future; human judgment, values, and direction will become even more critical. OpenAI outlines three core goals: 1. Build automated AI researchers to accelerate and increasingly automate the research process itself, maintaining close human collaboration. The internal projection is that by March 2028, a significant portion of their research will be conducted by AI systems working alongside human researchers. 2. Accelerate economic development by advancing science, boosting productivity, and fostering growth, while ensuring the fruits are widely shared. 3. Provide a personal AGI for everyone on Earth, allowing individuals to benefit from this transformative technology in their own way. The company is entering its third phase, moving from foundational AGI research (Phase 1) to product deployment and learning from real-world use (Phase 2). The current challenge is making advanced AI abundant, affordable, safe, practical, and usable for all individuals and organizations. OpenAI concludes that a widely distributed power structure leads to a more resilient, adaptable, and free society. A positive AI future should not be controlled by a handful of entities but built, benefited from, and owned by many. If realized correctly, AI can become a cornerstone for enhancing global productivity, creativity, scientific advancement, and economic opportunity, fulfilling the mission to ensure AGI benefits all of humanity.

marsbit3h ago

OpenAI's 'Blueprint for the Future': Making AI Beneficial for Every Person on the Planet

marsbit3h ago

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Sonic: Pioneering the Future of Gaming in Web3 Introduction to Sonic In the ever-evolving landscape of Web3, the gaming industry stands out as one of the most dynamic and promising sectors. At the forefront of this revolution is Sonic, a project designed to amplify the gaming ecosystem on the Solana blockchain. Leveraging cutting-edge technology, Sonic aims to deliver an unparalleled gaming experience by efficiently processing millions of requests per second, ensuring that players enjoy seamless gameplay while maintaining low transaction costs. This article delves into the intricate details of Sonic, exploring its creators, funding sources, operational mechanics, and the timeline of significant events that have shaped its journey. What is Sonic? Sonic is an innovative layer-2 network that operates atop the Solana blockchain, specifically tailored to enhance the existing Solana gaming ecosystem. 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1.6k Total ViewsPublished 2024.04.04Updated 2024.12.03

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While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. 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While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

717 Total ViewsPublished 2025.01.14Updated 2025.01.14

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