Project UpdatesNews

Tracks blockchain projects from inception to their latest updates and major milestones. By covering project financing, partnerships, and product upgrades, it helps investors stay informed about the latest industry trends and developments.

Hackers use SpaceXAI, Starlink X accounts to pump SCATMAN: Token crashes 98%

On July 13th, hackers compromised the verified X accounts of SpaceXAI and Starlink to fraudulently promote the SCATMAN memecoin. The tweets, one gaining over 72,000 views quickly, misled users into believing the token was legitimate, generating significant buying pressure. Prior to the campaign, the attacker had minted 10 trillion SCATMAN tokens. After the price briefly approached a $2 million market cap, the attacker dumped their holdings for 73.7 ETH (approximately $135,000), causing liquidity to vanish and the token's value to crash by 98%. This incident highlights how compromised high-profile accounts can exploit online trust to create exit liquidity for crypto scams.

ambcrypto20h ago

Hackers use SpaceXAI, Starlink X accounts to pump SCATMAN: Token crashes 98%

ambcrypto20h ago

Why Are Several DeFi Projects Reaping the Benefits of the Robinhood Chain Boom?

The recent surge in top DeFi tokens like Lighter (LIT), Morpho (MORPHO), Arbitrum (ARB), and Uniswap (UNI) is directly linked to the explosive launch of the Robinhood Chain Layer 2 network. While initially driven by meme coin speculation (e.g., CASHCAT), the chain is now showing signs of sustained activity, with its TVL doubling to $96M and DEX volume hitting ~$900M in a week. These specific tokens are seen as primary beneficiaries of the chain's growth narrative. Lighter is Robinhood Wallet's default perps platform. Arbitrum receives a share of protocol revenue as Robinhood Chain is built on its Orbit stack. Morpho holds the majority of the chain's TVL through the new Robinhood Earn product. Uniswap, the main DEX, has already facilitated ~$1B in volume, generating fees. The analysis suggests that while meme-driven hype may fade, these projects represent a more fundamental bet on Robinhood Chain's infrastructure and its potential to expand into areas like RWA and perps, offering a sustainable way to gain exposure to the chain's success.

marsbitYesterday 02:08

Why Are Several DeFi Projects Reaping the Benefits of the Robinhood Chain Boom?

marsbitYesterday 02:08

3 crypto attacks in 24 hours – From fake apps to a $14.2M SOL theft

The cryptocurrency space witnessed a high volume of attacks within 24 hours, highlighting several major security threats. First, fraudsters targeted SecondFi by creating fake browser extensions and apps to steal crypto; the company clarified its official channels and warned against unsolicited links. In a separate incident, a compromised early Solana whale wallet led to the theft of 180,900 SOL (worth $14.2 million), with the stolen funds being bridged to Ethereum and laundered via Tornado Cash. Finally, the jscrambler npm package suffered a supply chain attack where stolen credentials were used to publish malicious versions containing an information-stealing payload. These events underscore the prevalence of phishing, wallet exploits, and software supply chain vulnerabilities, emphasizing the need for vigilance, verifying official sources, and prompt software updates.

ambcryptoYesterday 19:03

3 crypto attacks in 24 hours – From fake apps to a $14.2M SOL theft

ambcryptoYesterday 19:03

June Transaction Volume Doubles: x402 Ecosystem Continues to Expand, Content Monetization Narrative Faces Crucial Test

X402, a protocol for AI and data services, experienced significant growth in June. Its transaction volume doubled compared to May, primarily driven by the AI inference routing service BlockRun. The ecosystem expanded with new integrations: Apify enabled data scraping services, Exa extended its AI search to Solana, and Seal launched 'Hacks', a marketplace for automated AI agents. The protocol itself received crucial upgrades, including 'Builder Codes' for tracking and affiliate systems and 'Batch Settlement' to enable practical micropayments for high-frequency AI tasks. Major external validation came from tech giants. Amazon Web Services (AWS) launched a solution for AI traffic metering at its edge nodes. More significantly, Cloudflare opened its waitlist for a Content Monetization Gateway. This gateway allows websites to charge AI bots and other automated agents for accessing content, using x402 for stablecoin payments. This addresses a core internet monetization problem and represents x402's most promising path to mass adoption, though Cloudflare's CEO noted current blockchain scalability remains a critical hurdle. Current leading use cases are AI inference routing and paid data feeds. However, the large-scale real-world test with Cloudflare's gateway will be decisive in determining if x402 can transition from a useful tool to a fundamental infrastructure component for a new web economy where AI agents pay for the content they consume.

Foresight News07/10 09:42

June Transaction Volume Doubles: x402 Ecosystem Continues to Expand, Content Monetization Narrative Faces Crucial Test

Foresight News07/10 09:42

Can Large Models Write Industrial-Grade Optimization Algorithms? MIT Proposes FrontierOR to Set an Exam for AI

Can large language models (LLMs) design industrial-grade optimization algorithms? MIT researchers introduced FrontierOR, a benchmark evaluating LLMs on their ability to design scalable, high-quality algorithms for complex, large-scale optimization problems—going beyond simple modeling or solver calls. The benchmark, constructed from 180 real-world problems published in OR journals (1992-2025), assesses models in one-shot algorithm generation and self-evolution settings. Key findings show top models achieve high code execution rates (~0.98), but struggle to maintain feasibility and near-optimal solution quality on hard instances. Models like Claude Opus 4.6 exhibit more diverse algorithm design (e.g., decomposition, heuristics, hybrids), correlating with better performance. Self-evolution frameworks (e.g., CORAL) significantly boost results, raising the quality-time efficiency metric from 0.15 to 0.50 on the hardest tasks by iteratively refining algorithms. The study highlights a shift in failure modes from basic modeling errors to deeper challenges in heuristic search and structural exploitation. FrontierOR points toward future AI-driven optimization systems where LLMs act as algorithm designers, dynamically composing strategies and learning from feedback for applications in supply chain, energy, and transportation.

marsbit07/10 09:08

Can Large Models Write Industrial-Grade Optimization Algorithms? MIT Proposes FrontierOR to Set an Exam for AI

marsbit07/10 09:08

Trump Earns $2.2 Billion Annually, Two-Thirds from Cryptocurrency, with 87 Stock Trades Daily

Former U.S. President Donald Trump reported a personal income exceeding $2.2 billion in 2025, the highest annual income for a sitting president, according to U.S. government financial disclosures. This income primarily stemmed from cryptocurrency ventures and investments, starkly contrasting the standard presidential salary of $400,000. More than two-thirds ($1.4 billion) of his income originated from cryptocurrency-related activities. This includes over $1 billion in Bitcoin and Ethereum holdings, approximately $800 million from World Liberty Financial (a crypto project co-founded with his son), and about $635 million from sales of the TRUMP meme coin. Overall, Trump family crypto operations reportedly generated over $2.3 billion in profit after his 2025 inauguration. Trump's stock portfolio showed heavy trading activity, with over 22,000 trades executed in 2025—averaging 87 trades per day. Major holdings included tech giants like Google, Apple, Nvidia, and Microsoft. Notably, some large-scale stock purchases coincided with major policy announcements, such as tariffs, raising questions about potential insider trading. His traditional business empire, centered on real estate and branding, contributed $575 million. Additionally, he earned nearly $60 million through numerous "DT Marks" licensing companies, which leverage the Trump brand globally in locations like Dubai and Abu Dhabi. The report highlights significant conflicts of interest, as countries like the UAE and Saudi Arabia, whose entities invested in Trump's businesses, later received favorable U.S. policy treatment. Trump has stated he delegates financial management and is not directly involved in day-to-day investment decisions.

Odaily星球日报07/09 02:09

Trump Earns $2.2 Billion Annually, Two-Thirds from Cryptocurrency, with 87 Stock Trades Daily

Odaily星球日报07/09 02:09

Paxos USDGL Launch Adds A Singapore-Regulated Twist To Yield-Bearing Stablecoins

Paxos has launched USDGL, a yield-bearing stablecoin, specifically for the Singapore market. This move introduces a regulated angle to the competitive stablecoin landscape, leveraging Singapore's structured regulatory framework for digital assets to differentiate the product. The launch underscores Asia's growing influence in shaping the next generation of stablecoin offerings. The article emphasizes that for users, regulatory clarity and trust are as critical as yield, addressing concerns about transparency and reserve backing. For the market, this development is framed as part of the broader competition in Asia's stablecoin sector. The key takeaway is to monitor follow-through actions—such as subsequent filings, market reactions, or adoption metrics—to determine if this becomes a sustained trend or remains a single update. The report is based on information from Paxos's official platform.

bitcoinist07/08 23:18

Paxos USDGL Launch Adds A Singapore-Regulated Twist To Yield-Bearing Stablecoins

bitcoinist07/08 23:18

Embodied Intelligence 'Gaokao' is Insanely Hard, Humans Score 100, Best Model Only 12.8

Embodied AI Faces a Daunting "Everest": New Benchmark Reveals Huge Gap Between Models and Humans A comprehensive new benchmark for robotic manipulation, RoboDojo, has been released, painting a stark picture of the current state of embodied AI. It serves as a unified evaluation platform covering both simulation and real-world robot tasks. The benchmark assesses five core capabilities: Generalization (adapting to new scenes/objects), Memory, Precision manipulation, Long-Horizon multi-step tasks, and Open semantic understanding. It includes 42 simulation tasks and 18 standardized real-world tasks across three dual-arm robot platforms. The results are sobering. In simulation, the best-performing generalist robot policy achieved an average success rate of only 8.80%. Performance in the real world was slightly higher but still low, with the top model succeeding 12.8% of the time on average. In stark contrast, human experts scored 76.03% in simulation and 100% in real-world tests. The benchmark highlights significant, uneven gaps in current models' abilities. While some excel in specific areas like visual recognition or simple actions, they struggle with reliability, especially in long-horizon tasks where errors accumulate and in open-ended semantic instructions. The low scores, particularly in real-world deployment with physical uncertainties like camera noise and contact dynamics, underscore that today's models are far from being robust, general-purpose operational robots. RoboDojo is more than just a ranking; it's an infrastructure designed for fair, reproducible comparison. Its companion system, XPolicyLab, standardizes the interface for different models to be evaluated. Maintained by an academic consortium without commercial ties, it aims to provide a community-wide "altitude meter" to track genuine progress toward reliable and generalizable robot manipulation.

marsbit07/08 11:49

Embodied Intelligence 'Gaokao' is Insanely Hard, Humans Score 100, Best Model Only 12.8

marsbit07/08 11:49

Russia Advances Crypto Bill After Removing Wallet Address Disclosure Requirement

Russia's State Duma Financial Markets Committee has adopted a revised cryptocurrency regulation bill. A key change removes the controversial requirement for users to disclose their wallet addresses. Instead, the new bill mandates reporting of wallet balances and transaction volumes. The legislation aims to expand investment opportunities, allowing retail investors to allocate up to 300,000 rubles annually into approved cryptocurrencies through intermediaries. It also permits licensed brokers to access select foreign exchanges. However, the bill imposes restrictions, including limits on certain international crypto transfers and a continued ban on domestic crypto payments except for foreign trade. Furthermore, cryptocurrencies will be legally recognized as property in cases like insolvency. The Bank of Russia retains its role in licensing market participants and is advancing its digital ruble project.

TheNewsCrypto07/08 10:19

Russia Advances Crypto Bill After Removing Wallet Address Disclosure Requirement

TheNewsCrypto07/08 10:19

HKEX Welcomes Its Largest IPO of the Day

Today (July 8th), Momenta successfully listed on the Hong Kong Stock Exchange, becoming the "first Physical AI stock." The company, founded in 2016 by Tsinghua University alumnus Cao Xudong, focuses on autonomous driving as an entry point into Physical AI research. Momenta's IPO price was HK$295.6 per share. With a market cap exceeding HK$70 billion post-listing, it was the largest among the five companies debuting that day. The offering raised approximately HK$6.8 billion and attracted a "star-studded" lineup of 14 cornerstone investors, including top-tier international funds, leading strategic industrial investors like Mercedes-Benz and BYD, and major Chinese financial institutions. The company has pioneered a "flywheel" strategy, integrating mass-produced advanced driver-assistance systems (ADAS) with its full-self-driving (L4) development. Data from over 1 million vehicles equipped with its systems fuels its AI models, enabling continuous improvement. This massive real-world data scale is a core competitive advantage. In April, Momenta launched its self-developed R7 World Model for mass production, a foundational model designed to understand and predict physical world dynamics. The company positions itself not just as an automotive tech supplier, but as a platform-level Physical AI company. Its technology platform has the potential to expand beyond autonomous vehicles into areas like logistics and embodied AI. Financially, Momenta's revenue grew from RMB 743 million in 2023 to RMB 2.413 billion in 2025, with licensing income surging 42-fold during this period. While still reporting adjusted losses, it is nearing breakeven. The company boasts partnerships with 24 global automakers, including 9 of the world's top 10, and holds a 65% market share in China's third-party urban NOA segment. The listing marks a significant moment for Physical AI in global capital markets, reflecting strong investor confidence in Momenta's unique technology path and commercial execution.

marsbit07/08 03:10

HKEX Welcomes Its Largest IPO of the Day

marsbit07/08 03:10

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