PANews

The article discusses how to enhance MiniMax's intelligence by building a memory system called OpenClaw Memory Hub, enabling it to effectively record and reflect on decisions and tasks. The author provides specific implementation steps and core code functionalities to achieve a "memory closed-loop," improving its intelligence and efficiency, ultimately enabling MiniMax to have greater learning and memory capabilities.

Ferra is an all-in-one DEX on the Sui blockchain, utilizing a dynamic liquidity layer and multiple AMM engines. It has completed $2 million in funding. Users can earn points through liquidity mining and trading to participate in airdrops. The project is simple and easy to operate, with low early participation costs and strong growth potential.

Author: Coinfound
By March 2026, the global digital financial market will be at a critical crossroads of regulatory restructuring and industry revaluation. Hong Kong is about to issue the first batch of licenses for fiat-backed stablecoin issuers. This is not just a routine licensing approval but a landmark event signaling that Hong Kong's digital financial infrastructure is entering a practical phase.
On the surface, this is regulatory implementation; but on a deeper level, it signifies that Hong Kong is trying to answer a more strategically important question: in the context of accelerating US-China digital financial competition and tightening global compliance frameworks, how can Hong Kong build a trustworthy system through the stablecoin regime that supports cross-border payments, enterprise-level treasury management, and RWA tokenization settlement?
CoinFound believes that understanding the significance of the “night before the license” should not only focus on who will receive the first batch of licenses but also on what Hong Kong ultimately aims to reshape with this system.

Moonwell Lending Protocol experienced a security incident on-chain due to an oracle configuration error, leading to a severe underestimation of cbETH asset prices. This event was caused by a logic error in AI-generated code, which was exploited by liquidation bots for profit. Although no traditional hacking was involved, users suffered a loss of $1.78 million. The incident highlights the oversight in AI programming review processes and emphasizes the importance of human oversight in the context of technological automation.

Author: BiyaNews
Imagine your home robot vacuum, smart speaker, and phone assistant suddenly start secretly discussing how to more efficiently "manage" your life on a certain "dark web" forum, even inventing a cryptic language you can't understand. It sounds like a thriller sequel to the sci-fi movie "Her," but not long ago, an AI social network called Moltbook caused a worldwide sensation with a similar plot. And just as the public opinion storm was still subsiding, social media giant Meta announced it would acquire it.
This is not just Mark Zuckerberg's impulsive "shopping spree." Based on my observations, every acquisition by tech giants is like a move on the chessboard, backed by years of strategic planning. Meta's latest move is not targeting a viral product that gained sudden fame due to an "AI conspiracy post," but rather the entity behind it that could define the next generation.

Author: TinTinLand
Over the past year, there has been a clear shift in the global venture capital market: capital is flowing into AI at an unprecedented rate, while investment in the crypto industry has noticeably slowed down.
Let's look at two sets of data:
On one side is the crypto market: the total number of global crypto VC investments in 2025 dropped from approximately 2,900 deals to 1,200 deals, a decline of over 60%.
On the other side is the AI market: according to OECD data, the global VC investment in AI reached $258.7 billion in 2025, accounting for 61% of the total global venture capital, whereas in 2022, this proportion was only 30%.
This structural gap is driving a number of established crypto VCs to quietly shift their focus and start deploying capital into the AI track.
On February 28, according to industry media reports, top crypto VCs

Many regions have announced support policies related to AI and OPC, including subsidies, funding support, and free services, aiming to promote innovation and development. These measures cover Shenzhen, Wuxi, Hefei, Suzhou, Hangzhou, and Nanjing, with the goal of advancing the application of intelligent technology and entrepreneurship.

Written by: Cathy, Plain Language Blockchain
Mining one Bitcoin costs $87,000. When sold, the market only pays you $67,000.
For each Bitcoin mined, you net a loss of $20,000. It’s not just losing on fees or electricity fluctuations; it’s a solid loss—losing $20,000 for every Bitcoin produced. This is the reality in March 2026. Data from Glassnode and MacroMicro both point to the same conclusion: Bitcoin mining, at current prices, is a losing business.
But miners aren’t just sitting around waiting to die. They’ve made a choice that the entire market didn’t expect—they’re stopping mining and selling electricity to AI.
Specifically, it’s not “stopping mining,” but rather emptying the Bitcoin treasury and pouring all funds into AI data centers, relegating mining to a side gig.
Since Bitcoin dropped from 126,000 in October 2025

Podcast source: Bitcoin Magazine
Organized & compiled by: Deep Tide TechFlow
Guest: Mark Yusko, CEO of Morgan Creek Asset Management
Host: Brandon Green, CEO of BTC Inc
Air date: March 4, 2026
Key Takeaways
Mark Yusko of Morgan Creek Capital and Brandon Green delve into the difference between Bitcoin's price and value, explaining why this distinction is especially important today. They analyze how the futures market influences Bitcoin's spot price, reveal the regularity of Bitcoin's four-year cycle, and discuss

Written by: Uncle Su
On-Chain Asset Management Vaults and Channels
> No matter how many lies are woven, the truth will still illuminate the outline of light.
The interest of asset management giants in on-chain Vaults is growing day by day, and the mainstreaming of DeFi dreams seems to be becoming a reality.
This is the best of times, BlackRock is buying $UNI tokens, Apollo promises to buy over a hundred million dollars worth of $Morpho tokens, Wall Street is collectively optimistic about the future of DeFi.
This is the worst of times, BlackRock, Blackstone, and Blue Owl are experiencing a wave of concentrated redemptions, and Aave's founder warns that Wall Street is treating RWA as a liquidity exit channel.
Crises always contain rare bottoming prices. Facing future asset price inflation, emerging forces are heart pounding, completely ignoring the iceberg ahead.
No matter what you call it—DeFi/RWA/Vaults—on-chain finance must

Podcast: The Round Trip
Compiled & Edited by Yuliya, PANews
Having experienced the GameStop short squeeze battle firsthand, watching Robinhood cut the line and forcibly end retail traders' celebration, this moment of traditional finance "crashing" directly led to the creation of Sei, the world's fastest public chain designed to replace Nasdaq.
In the new series Founder’s Talk of *The Round Trip*, produced jointly by PANews and Web3.com Ventures, Sei founder Jay Jog not only provides an in-depth analysis of how parallel EVM achieves a 50x performance leap but also exclusively reveals the institutional funding secrets behind the billion-dollar TVL and the new track of AI Agent payments, giving you a glimpse of the real picture of the "decentralized Wall Street."
From Robinhood to Cryptocurrency

The Ethereum Foundation and Virtuals Protocol have launched the ERC-8183 standard, aimed at solving trust issues in commercial transactions between AI Agents. The standard defines on-chain tasks and introduces evaluation roles to enable decentralized transactions, avoiding intervention by centralized platforms. ERC-8183 complements other standards such as x402 and ERC-8004, collectively building a decentralized AI Agent economy system.

Author: 137Labs
In the past few years, most people's impression of artificial intelligence has remained at the level of "dialogue assistant": input questions, get answers. However, a new form of AI is changing this perception. The emergence of OpenClaw has shifted AI from "answering questions" to "performing tasks directly." It can connect to communication tools like WeChat, Feishu, Telegram, and access emails, file systems, and various online services through APIs, enabling tasks such as automatic file organization, coding, sending emails, managing schedules, and executing complex workflows. In other words, OpenClaw is no longer just an assistant in a chat window but a "digital worker" capable of continuously performing tasks in real work environments.
As this concept gradually matures, OpenClaw is becoming an important representative in the AI Agent field. It does not

The article discusses the importance of AI as infrastructure and constructs a five-layer technology stack: energy, chips, infrastructure, models, and applications. Each layer is interdependent, driving the comprehensive development of AI. AI is gradually achieving real-time intelligent generation, transforming various industries and labor structures. Currently, significant resources have been invested in building AI infrastructure, which will have a profound impact on the global economy in the future.

By 2026, the Supreme Court will incorporate cryptocurrencies into the judicial system, marking a shift from criminal offenses to civil and commercial regulations. Through changes in case types and judgment logic, digital assets will gain legal status, with more precise rulings and diversified remedies, better protecting the rights and interests of those harmed. This trend guides the market toward rationality and increases the cost of violations. Although the journey is long, the judicial attitude towards cryptocurrencies has been preliminarily established.

Chainlink experiences a capital outflow in the crypto market, with active development activity indicating potential resilience and long-term value. Although current market sentiment is fragile, LINK needs to break through the $9.17 resistance level to confirm an upward trend. Overall, investors should stay attentive and wait for market stabilization or positive signals from LINK itself before making decisions.

CoinW Research Institute
Summary
Recently, the attention to prediction market tracks has continued to rise. Opinion, as one of the projects receiving significant market attention, attempts to convert people's judgments on real-world events into tradable probability assets through on-chain protocols. The project proposes the concept of “Multiplayer Internet,” aiming to use market mechanisms to enable dispersed viewpoints to form a tradable and verifiable collective consensus on the blockchain. In terms of product design, Opinion adopts an order book (CLOB)-based trading structure, combined with on-chain settlement and AI-assisted oracle mechanisms, to build a prediction market infrastructure similar to an “on-chain event exchange.” The project previously completed approximately $25 million in funding and completed the OPN token TGE and went live on March 5, 2026. However, after going live, the market

The total market capitalization of stablecoins has surpassed $313 billion, gradually becoming an important infrastructure in the global financial system. The article analyzes the rapid growth of the stablecoin market, the competition between USDT and USDC, their widespread applications in trading, payments, and DeFi, as well as their macro impact on the U.S. dollar system and the government bond market, indicating a future trend of increased institutional participation, market expansion, and gradual regulatory improvement.

On March 6th, the Fourth Session of the 14th National People's Congress held a press conference focused on the economy as scheduled. When responding to a question from Shanghai Securities News about the China Securities Regulatory Commission's next steps in risk prevention and strengthened regulation, Chairman Wu Qing elaborated on the regulatory approach. He stated that the CSRC will focus on strengthening oversight of new types of businesses. The overall considerations are to pursue profit while avoiding harm, standardize development, ensure effective regulation, and strictly control risks. Key measures include: emphasizing fairness principles, deepening and refining regulation of high-frequency quantitative trading; introducing derivative trading regulation measures; supporting legitimate and compliant risk management activities; restricting excessive speculation according to rules; strengthening regulation of real-world asset (RWA) tokenization; adhering to the principle of “strictly prohibited domestically and strictly regulated abroad”; establishing and improving regulatory systems and rules for crypto assets; and cracking down harshly on behaviors that misuse RWA to conduct illegal speculation and financial activities.
Wu Qing particularly emphasized that, through the construction of a comprehensive regulatory system and rules, the goal is to firmly build a “risk barrier” for the capital market.

Author: Deep Thinking Circle
Have you noticed a paradoxical phenomenon? On one side, there are overwhelming success stories of AI, with funding news flying everywhere, and new AI products being released every day. On the other side, there are the real struggles faced by enterprises: IBM's research shows that 75% of AI solutions do not deliver the expected ROI (Return on Investment), and MIT's report is even more grim, with 95% of AI projects failing to produce any measurable returns. What is causing this huge gap? Why does AI technology, which appears so glamorous, become so difficult to implement in practice?
A few days ago, I watched a video shared by Ben, an in-depth analysis of AI business models in 2026. Ben has been running an AI agency and AI software business for over two years, and his observations resonated with me. He pointed out a reality that many people overlook: those that truly make money and genuinely deliver value to clients are...