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

比推Pubblicato 2026-03-17Pubblicato ultima volta 2026-03-17

Introduzione

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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Original link:https://www.bitpush.news/articles/7620602

Domande pertinenti

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.

Letture associate

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

OpenAI engineer Weng Jiayi's "Heuristic Learning" experiments propose a new paradigm for Agentic AI, suggesting that intelligent agents can improve not just by training neural networks, but also by autonomously writing and refining code based on environmental feedback. In the experiment, a coding agent (powered by Codex) was tasked with developing and maintaining a programmatic strategy for the Atari game Breakout. Starting from a basic prompt, the agent iteratively wrote code, ran the game, analyzed logs and video replays to identify failures, and then modified the code. Through this engineering loop of "code-run-debug-update," it evolved a pure Python heuristic strategy that achieved a perfect score of 864 in Breakout and performed competitively with deep reinforcement learning (RL) algorithms in MuJoCo control tasks like Ant and HalfCheetah. This approach, termed Heuristic Learning (HL), contrasts with Deep RL. In HL, experience is captured in readable, modifiable code, tests, logs, and configurations—a software system—rather than being encoded solely into opaque neural network weights. This offers potential advantages in explainability, auditability for safety-critical applications, easier integration of regression tests to combat catastrophic forgetting, and more efficient sample use in early learning stages, as demonstrated in broader tests on 57 Atari games. However, the blog acknowledges clear limitations. Programmatic strategies struggle with tasks requiring long-horizon planning or complex perception (e.g., Montezuma's Revenge), areas where neural networks excel. The future vision is a hybrid architecture: specialized neural networks for fast perception (System 1), HL systems for rules, safety, and local recovery (also System 1), and LLM agents providing high-level feedback and learning from the HL system's data (System 2). The core proposition is that in the era of capable coding agents, a significant portion of an AI's learned experience could be maintained as an auditable, evolving software system.

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OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

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Your Claude Will Dream Tonight, Don't Disturb It

This article explores the recent phenomenon of AI companies increasingly using anthropomorphic language—like "thinking," "memory," "hallucination," and now "dreaming"—to describe machine learning processes. Focusing on Anthropic's newly announced "Dreaming" feature for its Claude Agent platform, the piece explains that this function is essentially an automated, offline batch processing of an agent's operational logs. It analyzes past task sessions to identify patterns, optimize future actions, and consolidate learnings into a persistent memory system, akin to a form of reinforcement learning and self-correction. The article draws parallels to similar features in other AI agent systems like Hermes Agent and OpenClaw, which also implement mechanisms for reviewing historical data, extracting reusable "skills," and strengthening long-term memory. It notes a key difference from human dreaming: these AI "dreams" still consume computational resources and user tokens. Further context is provided by discussing the technical challenges of managing AI "memory" or context, highlighting the computational expense of large context windows and innovations like Subquadratic's new model claiming drastically longer contexts. The core critique argues that this strategic use of human-centric vocabulary does more than market products; it subtly reshapes user perception. By framing algorithms with terms associated with consciousness, companies blur the line between tool and autonomous entity. This linguistic shift can influence user expectations, tolerance for errors, and even perceptions of responsibility when systems fail, potentially diverting scrutiny from the companies and engineers behind the technology. The article concludes by speculating that terms like "daydreaming" for predictive task simulation might be next, continuing this trend of embedding the idea of an "inner life" into computational processes.

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Your Claude Will Dream Tonight, Don't Disturb It

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179 Totale visualizzazioniPubblicato il 2024.12.11Aggiornato il 2026.04.28

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