TechFlow Intelligence Bureau: Anthropic Mythos Triggers Financial Regulatory Alarms, WLFI Unlocks 27 Billion Tokens with 0 Dividends

marsbitОпубліковано о 2026-04-10Востаннє оновлено о 2026-04-10

Анотація

TechFlow Intelligence Report: Anthropic's Mythos AI model has triggered urgent meetings between the U.S. Treasury Secretary, Fed Chair, and major bank CEOs due to its ability to autonomously find software vulnerabilities and launch attacks, elevating AI safety to a systemic financial risk. In crypto, Bitcoin surpassed $70k amid significant ETF inflows, while the World Liberty Fi (WLFI) project unlocked 27 billion tokens with a controversial profit model directing 100% of protocol profits to the Trump family, offering stakers only 2% inflationary rewards. Other key developments include Microsoft facing criticism over Copilot's reliability, Google's AI search summaries being caught providing false information, and a major AI supply chain attack affecting projects like Apifox and LiteLLM. A solo Bitcoin miner with minimal computing power defied odds to mine a full block. Regulatory shifts are accelerating with Japan classifying crypto as financial instruments and the SEC frameworks taking shape. In macro, a whale shorted $74M in oil, betting against geopolitical tensions, while Moody's warned of a potential $680B AI investment bubble among tech giants. The overarching theme is the convergence of technology, finance, and geopolitics: AI breakthroughs are now systemic threats, geopolitical events are being priced on-chain in real-time, and supply chain vulnerabilities reveal the fragility of our interconnected digital ecosystem.

Author: Deep Tide TechFlow

Release Time: April 10

AI / Large Models

Anthropic Mythos Model Prompts Urgent Meeting Between Treasury Secretary and Fed Chair with Bank CEOs

Mythos can quickly discover software vulnerabilities and automatically construct attacks, prompting Bessent and Powell to summon the CEOs of Citi, Morgan Stanley, Bank of America, Wells Fargo, and Goldman Sachs to discuss threats to the financial system.

Hot Topic: The Wall Street community discusses that the sign of AI's breakthrough capability isn't passing the Turing test, but rather prompting the central bank and Treasury to step in personally.

Bloomberg | CoinDesk

> Spicy Comment: It's not about discussing AI ethics, not about employment conflicts, but systemic risk. AI safety has escalated from a lab topic to a financial stability issue.

National Cybersecurity Notification Center Reports Three Supply Chain Poisoning Attacks

Apifox, LiteLLM, and Axios were hit consecutively, with many AI applications like OpenClaw directly affected due to dependencies on Axios, spreading risks to end-users through dependency chains.

National Cybersecurity Notification Center

Microsoft Copilot Mired in "Entertainment Use" Controversy

Microsoft's own documentation states "Do not trust AI," yet the company denies Copilot is for entertainment only; Mozilla simultaneously accuses Microsoft of using Windows bundling tactics to undermine Firefox.

Windows Latest | Mozilla

Google AI Summaries Exposed for Frequently Lying to Users

A PCMag report found that Google Search's AI summary feature often provides false information, raising doubts about the credibility of major tech companies' AI products.

Hot Topic: Community debates whether AI summaries improve efficiency or systematically produce misinformation.

PCMag

Alibaba Team's Mysterious AI Video Model "Happy Horse" Tops Charts

A team from Alibaba launched an AI video model that performed exceptionally well in various evaluations, with an official release expected in a week.

Cailian Press

Crypto / Web3

Bitcoin Breaks $70,000, BlackRock ETF Sees Largest Single-Day Inflow in 5 Weeks

Bitcoin's price surged past $70,000, with BlackRock's Bitcoin ETF seeing a single-day inflow of $269 million. Barrons attributed the rise to "hopes for peace with Iran."

Barrons

World Liberty Fi Unlocks 27 Billion Tokens, Whitepaper Shows 100% Profits Go to Trump Family

Amid investor lawsuits, the DeFi project by the Trump and Witkoff families unlocked the remaining tokens, but the whitepaper clearly states all protocol profits go to the families, with stakers only receiving 2% inflation rewards.

Hot Topic: The project calls it "decentralized finance," while the community questions its near-zero fundamental value.

Twitter

> Spicy Comment: Those who sued want their principal back, those who didn't are still waiting for the price to rise. The whitepaper spells it out clearly, yet the tokens are still trading.

Solo Miner with Only 70 TH/s Hashrate Mines Bitcoin Block, Earns 3.128 BTC

A miner with an extremely low hashrate miraculously mined block 944306, earning a 3.128 BTC reward, with odds comparable to winning the lottery.

Hot Topic: The community calculates this miner's luck, with some calling it the "ultimate proof of decentralization."

Reddit

SEC Crypto Regulation and CLARITY Act Reshape US Digital Asset Rules

A new regulatory framework is taking shape, potentially altering compliance paths for stablecoins, DeFi, and other areas.

Finance Feeds

Japan Approves Bill Classifying Cryptocurrency as Financial Instruments

Japan formally incorporates cryptocurrency into its financial instruments regulatory framework, forming an East Asian regulatory triangle with Hong Kong's licensing for stablecoins and Singapore's MAS framework.

Chips / Hardware

CoreWeave Secures $21 Billion Meta Deal, Locking in Chip Supply Until 2032

Meta signed a long-term computing power supply agreement with CoreWeave, covering NVIDIA's next-generation super chips, indicating sustained high demand for AI computing power.

Wall Street News

ETH Zurich Demonstrates 17,000-Qubit Array with 99.91% Fidelity

ETH Zurich achieves a breakthrough in quantum computing, showcasing the largest high-fidelity qubit array to date.

ETH Zurich

US Stocks

White House Warns Staff Against Insider Trading in Prediction Markets Related to Iran War

As prediction markets like Polymarket actively trade geopolitical events, the White House issues internal warnings to prevent arbitrage based on information asymmetry.

Yahoo Finance

Amazon to Sell Lilly's New Weight-Loss Drug at US Kiosks, CEO Shareholder Letter Released Simultaneously

Amazon enters pharmaceutical retail, partnering with Lilly to promote GLP-1 weight-loss drugs, offering same-day delivery. Concurrently, Amazon's CEO releases a shareholder letter, with market attention on key points.

Reddit

Is S&P 500 Trust ETF Breaking 700 Next Week Realistic? Community Heatedly Discusses Market Direction

Reddit

Finance / Macroeconomics

On-Chain Whale Shorts Oil for $74.66 Million, Liquidation Price Around $141

Wallet 0x9D32 established $37.95 million in WTI crude shorts and $36.71 million in Brent crude shorts, betting on eased Hormuz Strait tensions or hedging geopolitical risks.

LookOnChain

> Spicy Comment: North Sea oil prices hit new highs, everyone talks about supply shocks, but on-chain, there's always someone betting the other way.

Moody's Report Warns of Circular Financing Risks in AI Industry

Five tech giants pledged capital expenditures up to $680 billion, with Moody's pointing out that internal investments within the AI industry chain could form a bubble.

Zhihu

Today's Undercurrent

AI capability breakthroughs are escalating from technical discussions to systemic risks: Mythos prompted the Treasury and Fed to step in, supply chain poisoning proves the fragility of AI ecosystem dependency chains. Meanwhile, geopolitical events are being priced in real-time through on-chain markets—the Hormuz Strait crisis unfolds across traditional futures, on-chain perpetuals, and prediction markets, with the White House already warning against insider trading. The three undercurrents of technology, finance, and geopolitics are intertwined today.

Пов'язані питання

QWhat specific concerns did the Anthropic Mythos model raise that led to the emergency meeting with bank CEOs?

AThe Anthropic Mythos model demonstrated the ability to quickly discover software vulnerabilities and automatically construct attacks, which was perceived as a direct threat to the financial system's stability, prompting the urgent meeting.

QWhat is the controversial profit distribution model described in the World Liberty Fi (WLFI) project's whitepaper?

AThe WLFI whitepaper states that 100% of the protocol's profits are allocated to the Trump and Witkoff families, with stakers only receiving a 2% inflation-based yield.

QAccording to the article, what event is cited as a potential reason for Bitcoin's price surge above $70,000?

ABarrons attributed the price surge to 'hopes for peace with Iran'.

QWhat major risk does the Moody's report highlight regarding the AI industry's financial structure?

AThe Moody's report warns of circular financing risks, where the $680 billion in capital expenditure pledged by the five major tech giants could create a bubble through mutual investments within the AI industry chain.

QWhat are the three main underlying themes (dark lines) that the article suggests converged on this day?

AThe three converging themes are: 1) AI capability breakthroughs escalating into systemic risk discussions, 2) The fragility of AI ecosystem supply chains, and 3) Geopolitical events being priced in real-time through on-chain markets, traditional futures, and prediction markets.

Пов'язані матеріали

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

NEAR Returns to AI Origins: From Payroll Struggles to Blockchain, Now Focusing on AI Agents and Privacy NEAR Protocol's journey began not with grand blockchain ambitions, but from a practical hurdle: its AI startup founders, including Transformer paper co-author Illia Polosukhin, couldn't efficiently pay international developers in 2017. This led them to pivot and build a high-performance, scalable blockchain. After years navigating various crypto narratives like sharding and cross-chain interoperability, NEAR is now leveraging its AI roots to re-enter the AI arena. A key driver is its "NEAR Intents" layer, which abstracts complex cross-chain transactions. Users simply state their goal (e.g., swap BTC for ETH), and a solver network finds the optimal route. This system has processed over $20B in cross-chain volume, generating significant fee revenue. A major growth area is private transactions via "Confidential Intents/Swaps," which hide trade details until settlement to protect against MEV and front-running. Remarkably, private swaps recently accounted for over 40% of NEAR's transaction volume, highlighting strong demand but also potential regulatory scrutiny. With its AI-founder pedigree, NEAR is positioning itself at the intersection of blockchain, AI agents, and privacy, aiming to become infrastructure for the emerging agent economy while navigating the challenges of its rapid adoption.

marsbit49 хв тому

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

marsbit49 хв тому

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

In recent discussions, Vitalik Buterin has frequently emphasized the concept of "CROPS," a framework defining core values for Ethereum's development. CROPS stands for Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. Initially outlined in the Ethereum Foundation's "EF Mandate," it represents a commitment to user sovereignty, ensuring that the network resists external control, remains open, protects privacy, and prioritizes security. The relevance of CROPS extends beyond Ethereum's foundational principles, becoming crucial in the context of AI integration. As AI agents begin handling wallet operations and automated transactions, the risk increases that users may cede control over their digital assets, privacy, and intentions to centralized AI service providers. A "CROPS AI" would therefore emphasize local execution where possible, privacy-preserving remote model calls (e.g., using zero-knowledge proofs), and transparent, verifiable processes to maintain user agency. Vitalik highlights a significant convergence between "CROPS Ethereum access layer" and "CROPS AI." Both address the same fundamental challenge: how users can access powerful services—be it blockchain data via RPCs or AI models—without exposing sensitive information or relinquishing ultimate control. This intersection points toward a future digital entry point that is more private, secure, and user-controlled. Ultimately, CROPS is not merely an abstract ideal but a practical guidepost. It steers development—from protocol resilience and wallet design to AI agent safety—towards a future where users retain self-sovereignty even as digital systems grow more complex and powerful. In an era of accelerating AI adoption, these "slow variables" of censorship resistance, openness, privacy, and security may define Ethereum's enduring value.

marsbit59 хв тому

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

marsbit59 хв тому

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit2 год тому

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit2 год тому

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit2 год тому

Token Inefficient, Economy Tokenless

marsbit2 год тому

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