Middle East at War, Hong Kong Benefits? A Certain Fingerprint Browser Hacked, Circle Still Rising...

比推Опубліковано о 2026-03-17Востаннє оновлено о 2026-03-17

Анотація

The article discusses several trending topics in the crypto space over the past 24 hours. Key points include: - Capital inflows into Hong Kong and Singapore, with some attributing recent gains in Hong Kong stocks to Middle Eastern funds entering the market. - A security breach involving Morelogin, a fingerprint browser, with users reporting stolen data and funds. - Circle's stock surge, attributed to its stablecoin USDC's growing role in payments, potentially competing with traditional players like Stripe. - Innovative use of Bitcoin mining waste heat for farming in the Netherlands, reducing energy costs. - Robert Kiyosaki's predictions of BTC reaching $750,000 and ETH $95,000, though his past forecasts have been inaccurate. The content is sourced from social media and does not constitute investment advice.

Hello dear readers~

What have the KOLs in the crypto circle been talking about in the past 24 hours?

Note: The following content is compiled from the X platform and represents personal opinions. It does not represent the stance of this platform and should not be considered investment advice.

Capital Flowing into Hong Kong and Singapore

Popular Replies:

Field test: The airport is already open. Also, the UAE does not audit funds leaving; free entry and exit! The reason they don't let the public take videos is to avoid exposing the location of the interceptor missile launches. If the interception equipment is destroyed, the public would be in greater danger.

If you hadn't mentioned the influx into Hong Kong, I would have just taken it as news. You saying this makes me want to block you.

This week, the A-share market is sluggish, while the Hong Kong stock market is rising nicely~ Funds from the Middle East are entering Hong Kong.

Capital flows will always find new directions.

Morelogin Fingerprint Browser Hacked!

Reason for Circle's Stock Doubling?

Extended reading:After "Cutting Ties" with the Crypto Circle, This Stock Doubled in a Month

Popular Replies:

Stablecoins have long ceased to belong to the cryptocurrency circle. Circle's biggest competitor in this赛道 is Stripe. Stripe has always been doing this. Stripe's布局 is far more comprehensive than Circle's.

Circle is still far from supporting its ideals, but with the cooperation with Coinbase, the x402 protocol using USDC might have a place in the AI payment field.

You can go research these community platforms starting to get involved in financial-related services, xmoney / Hood /Shopify/ Banks might only be left with a settlement function afterwards.

Dutch Farm Uses BTC Miner Waste Heat to Grow Vegetables, Saves Gas and Mines Coins

"Rich Dad Poor Dad" Author Robert Kiyosaki Predicts BTC 750K, ETH 95K After the Big Bubble!

However, netizens say Kiyosaki persistently predicts economic collapse but is repeatedly "slapped in the face" by reality:


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Пов'язані питання

QWhat is the main topic discussed regarding capital flow in the article?

AThe article discusses the influx of capital from the Middle East into Hong Kong and Singapore, particularly noting the rise in Hong Kong stocks amid instability in the Middle East.

QWhat security incident is reported involving Morelogin?

AMorelogin, a fingerprint browser, was reportedly hacked or compromised, as indicated by user complaints and discussions on social media platforms.

QWhy is Circle's stock performance mentioned, and what is speculated about its future?

ACircle's stock has doubled, and it is speculated that its partnership with Coinbase and the use of USDC in AI payment fields could give it a competitive edge, though it faces strong competition from companies like Stripe.

QHow is Bitcoin mining being utilized innovatively in the Netherlands according to the article?

AIn the Netherlands, Bitcoin mining waste heat is being repurposed to grow vegetables on farms, saving energy costs while mining cryptocurrencies.

QWhat prediction does Robert Kiyosaki make about cryptocurrencies in the article?

ARobert Kiyosaki predicts that after a major economic bubble, Bitcoin could reach $750,000 and Ethereum $95,000, though his past predictions have often been inaccurate.

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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