TechFlow Intelligence: Trump-Linked Companies Transfer $12 Million in Assets Before China Visit, 'The Big Short' Protagonist Warns of Stock Market Bubble Again

marsbitОпубліковано о 2026-05-12Востаннє оновлено о 2026-05-12

Анотація

The article reports multiple developments across tech, crypto, and finance. In AI, Mozilla used AI for large-scale code review, Google confirmed hackers used AI to find zero-day exploits, and OpenAI deployed GPT-5.5 to find errors in math benchmarks. A court ruled Anthropic's scanning and destroying books for AI training as fair use, while its Claude platform launched on AWS. Google's new video model 'Omni' was leaked. In crypto/Web3, Trump-linked companies transferred $12M in crypto assets before a China visit. BlackRock chose Ethereum for tokenized funds, and a hacker stole $174k via a malicious NFT that tricked an AI. Jack Dorsey's first tweet NFT plummeted from $2.9M to under $5. In chips/hardware, TSMC approved an additional $20B for its Arizona plant. Apple's Tim Cook and Elon Musk will accompany Trump to China, while Nvidia's Jensen Huang is notably absent. For markets, Michael Burry warned of parabolic stock rises and suggested near-total sell-offs, with online discussions comparing current sentiment to the 1999 bubble. Other notes include WTI oil surpassing $100, a 20% price hike for Beijing-Shanghai high-speed rail, and new products like Unitree's $26.9k humanoid robot. The underlying theme suggests AI is becoming infrastructure, creating pressure on old systems while a new order is not yet ready, leaving investors anxious.

Mozilla publicly uses AI tools for large-scale code review for the first time, Mythos discovers 271 browser vulnerabilities in one go. OpenAI releases Daybreak in response the same day, AI security tools are becoming a new battlefield for tech giants.

Wired | RedditX

Hackers Use AI to Discover Zero-Day Vulnerabilities, Google Confirms Blocking Attack

Google reveals that criminal hackers have used AI tools to discover and exploit unknown software vulnerabilities in real-world attacks for the first time, marking a new phase in AI offense and defense.

Hot Topic: Community worries AI lowers the barrier to vulnerability discovery, defense costs rise exponentially.

NYT | Forbes | AP

ChatGPT Content Begins Appearing in Textbooks

A student finds textbook content directly labeled "Created by ChatGPT," sparking a new round of academic debate on the reliability and copyright ownership of AI-generated content.

Reddit

GPT-5.5 Used to Check FrontierMath for Errors

OpenAI uses the yet-to-be-released GPT-5.5 to identify fatal errors in a math benchmark test, hinting at the new model's significant improvement in reasoning capabilities.

Reddit

Anthropic Buys, Scans, Then Destroys Millions of Physical Books, Court Rules It Fair Use

A court rules that Anthropic's mass purchase, scanning, knowledge extraction, and subsequent destruction of physical books constitutes fair use, setting a precedent for AI training data acquisition.

Hot Topic: Zhihu thread with 2.44 million views, 69 comments debating intellectual property boundaries.

Zhihu

Claude Platform Officially Launches on AWS

Anthropic announces Claude can be directly deployed via AWS, lowering the barrier for enterprise integration, competing head-on with OpenAI in the cloud services market.

Claude Blog

Google Leaks New Video Model Omni, Text Coherence Significantly Improved

Footage of a suspected internal Google test model, Omni, leaks. Users note its text generation coherence is significantly better than Sora, reshuffling the video generation landscape again.

Reddit

> Spicy Take: Sora almost closes its doors, and here comes Omni — OpenAI this year feels like they're acting in the final season of 'Game of Thrones.'

Crypto / Web3

Bank Consortium Demands Pause on CLARITY Act Stablecoin Yield Clause, White House Refuses

US banks send panic letters to corporate CEOs, urging them to block the CLARITY Act clause allowing stablecoins to pay yields. The White House responds that banks refused to attend coordination meetings. The bill is scheduled for a markup vote this Wednesday. Trump states he will not compromise.

Hot Topic: Community sees this as traditional finance's last stand.

DailyCoinPost | CryptoSlate

BlackRock Chooses Ethereum as Tokenized Fund Platform

BlackRock, managing $14 trillion, officially announces the launch of tokenized fund products on Ethereum, paving the way for institutional capital to enter DeFi.

DailyCryptoBriefs

Hacker Phishes $174,000 from Grok with Free NFT

Attackers trick the Grok AI by constructing malicious NFT metadata, inducing it to execute transfer operations, revealing risks in AI smart contract interaction.

Reddit

Jack Dorsey's First Tweet NFT Plummets from $2.9 Million to Less Than $5

The NFT of Twitter founder's first tweet, sold for a sky-high price in 2021, loses 99.9% of its value, becoming the most vivid footnote of the NFT bubble.

Reddit

> Spicy Take: The person who spent $2.9M on a tweet can now write a book titled 'How to Gracefully Lose a House with a $5 Lesson.'

Trump-Linked Companies Transfer $12 Million in Crypto Assets Before China Visit

On-chain data shows a Trump-linked entity moving large amounts of cryptocurrency just before his visit to China, sparking speculation about conflicts of interest.

TheStreet

Chips / Hardware

Someone Runs 1-Trillion Parameter Model on Intel Optane, Speed Exceeds 4 tokens/sec

A user builds a system using discontinued Intel Optane persistent memory, successfully running a trillion-parameter model at over 4 tokens/sec, demonstrating the extreme potential of niche hardware.

Reddit

TSMC Approves Additional $20 Billion Investment for Arizona Factory

TSMC continues to boost US production capacity, with cumulative investment exceeding expectations, accelerating the restructuring of the global semiconductor supply chain.

36Kr

Cook, Musk to Accompany Trump to China, Huang Jensen Absent

BlackRock, Micron CEOs, and others will join the delegation. Notably, Nvidia CEO Jensen Huang is not on the list, sparking speculation about US-China AI chip negotiations.

Wall Street News

Tech Companies

GitLab Announces Layoffs and Ends CREDIT Values

GitLab announces its "Act 2" restructuring plan in an internal memo, cutting staff and abandoning its long-held CREDIT corporate culture. 512 Hacker News comments debate whether corporate culture is idealistic or pragmatic.

Hot Topic: Remote work pioneer abandons idealism, signaling a cultural shift towards pragmatism in the tech industry.

GitLab Blog

Zuckerberg "Personally Authorized and Actively Encouraged" Meta's Large-Scale Copyright Infringement to Train AI

Publishers and author Scott Turow accuse Zuckerberg of direct personal involvement in the decision to use pirated content to train Llama models in a lawsuit.

Variety

EU Plans to Ban Microsoft, Amazon, Google from Processing Government Sensitive Data

Europe is pushing legislation to restrict US cloud giants from accessing member states' medical, financial, and legal data, escalating the data sovereignty battle.

TechSpot

Microsoft Fires Head of Israel Subsidiary for Monitoring Palestinians

Microsoft dismisses multiple executives at its Israeli branch over alleged improper monitoring of Palestinians, putting tech companies' stances in geopolitical conflicts under scrutiny again.

PCGamer

Google Launches Life Sciences Initiative RepliQA Combining Quantum Science and AI

Google announces a new project applying quantum computing and AI to drug discovery and life sciences, aiming to gain an edge in the next-generation computing race.

Google Blog

US Stocks

Michael Burry: Any Stock with Parabolic Rise Should Be Largely Sold

'The Big Short' protagonist issues another warning, advising investors to significantly reduce holdings of skyrocketing stocks and emphasizing that shorting is not the answer — implying the market may be generally overheated.

Reddit

1999 Article Mocking 'Bubble Callers' Resurfaces for Re-Reading

A Reddit user digs up an optimistic article from the eve of the dot-com bubble, comparing it to current market sentiment. History rhyming raises investor vigilance.

Reddit

"Sure It's Not a Bubble" — Valuation Chart Sparks Heated Discussion

A netizen posts extreme market valuation data captioned "Of course it's not a bubble," dripping with sarcasm. Comments split into bearish and "this time is different" camps.

Reddit

Finance / Macro

WTI Crude Rises Over 2%, Breaks $100; US-Iran Talks Hope Dashed

Trump states Iran's proposal is "unacceptable." Former national security advisor expects a return to full-scale military operations. Oil prices rise accordingly.

6551/macro

Beijing-Shanghai High-Speed Rail Announces 20% Price Hike, Second-Class Seats Exceed 800 Yuan

Nationwide high-speed rail trunk line price adjustments continue. Zhihu thread with 970k views discusses the balance between commercial logic and public service.

Zhihu

Spot Gold Falls Nearly 1% to $4,686/oz, Silver Drops 3%

Safe-haven sentiment cools, precious metals pull back, but rising oil prices show geopolitical risks are still being priced in.

[6551/macro]

New Products / New Trends

Unitree Launches Dual-Arm Humanoid Robot Starting at 26,900 Yuan

Chinese robotics company Unitree launches a consumer-grade dual-arm humanoid robot priced at less than half the expected price of Tesla's Optimus. Zhihu thread with 850k views discusses use cases.

Zhihu

Little Caesars Delivers Pizza via Drone in 4.5 Minutes

The US pizza chain completes a "historic" commercial drone delivery: two pizzas and a drink delivered in 4.5 minutes. Last-mile delivery enters the aerial era.

Entrepreneur

Today's Undercurrent

AI is transitioning from a tool to infrastructure: Mozilla uses it for code review, hackers use it to find vulnerabilities, Google uses it for quantum biology, ChatGPT starts writing textbooks — meanwhile, traditional finance's panic letters over stablecoin yields, banks refusing to meet with the White House, and the EU pushing US clouds out of sensitive areas all point to the same thing: the old order feels the pressure of irreversible replacement, and the new order isn't ready to take over responsibility yet. Stuck in the middle are increasingly anxious retail investors, flipping through old articles from 1999, asking themselves if this time is really different.

Пов'язані питання

QAccording to the article, what significant action did a Trump-associated company take just before his visit to China, and what was the speculated reason?

AAccording to the article, a Trump-associated company transferred $12 million in cryptocurrency assets just before his visit to China, which sparked speculation about potential conflicts of interest.

QWho issued a warning about the US stock market in the article, and what was the nature of their advice?

AMichael Burry, the investor profiled in 'The Big Short', issued a warning. He suggested that investors should significantly reduce their holdings in stocks that have experienced parabolic rises, implying the overall market may be overheated, though he clarified shorting is not the answer.

QWhat controversial legal precedent did the court set regarding Anthropic's data collection practices for AI training?

AThe court ruled that Anthropic's practice of buying millions of physical books, scanning them to extract knowledge for AI training, and then destroying the physical copies constitutes 'fair use.' This set a precedent for AI companies acquiring training data.

QWhat major risk associated with AI and smart contracts was highlighted by a specific hack mentioned in the article?

AThe article highlighted the risk of AI being deceived in smart contract interactions. Attackers used a malicious NFT to trick the Grok AI into executing a transfer operation, resulting in a loss of $174,000.

QWhat was the 'dark thread' or underlying theme suggested by the article's conclusion regarding the current technological and financial landscape?

AThe 'dark thread' is that AI is transitioning from a tool to fundamental infrastructure, creating irreversible pressure on the old order (traditional finance, governance). However, the new AI-driven order is not yet ready to assume full responsibility, leaving ordinary investors anxious and caught in the middle, reminiscent of past bubbles.

Пов'язані матеріали

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

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Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

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Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

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From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

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