competitor

Binance founder CZ posted on X that spreading FUD to smear competitors for a fee would damage the credibility of one's own exchange. He stated that it is worth pondering whether users are willing to entrust their crypto assets to companies that engage in unethical business practices.CZ also mentioned that such behavior would undermine users' trust in the relevant exchanges and could indirectly provide promotional effects for the smeared competitors, even though this method may be distasteful.

The artificial intelligence company Zhipu released a legal-specific model GLM-Legal, which is further trained based on GLM-5.3-Flash. In the Harvey LAB evaluation covering 24 categories of legal services, the task pass rate increased from 6.7% to 19.2%, nearly tripling the original version, surpassing models like Kimi K3 and Claude Fable 5, and ranking seventh on the Vals AI leaderboard.When reviewing software service contracts, GLM-Legal suggested shortening the termination notice period from 60 days to 30 days and required service providers to offer up to 90 days of handover support. In another software project dispute involving 40 documents, it found that the company reported to the client that the project was 60% complete, while internal records indicated only about 41%. It also identified emails from the CEO requesting to conceal risks and continue charging, and analyzed potential legal liabilities in conjunction with contract terms.According to independent evaluations by Vals AI, the cost for GLM-Legal to complete a test is $0.15, while the closely performing Gemini 4 Argon costs $10.55, a cost difference of about 70 times. GLM-Legal took an average of 72 minutes, while the latter took 44 minutes. Zhipu stated that the model was trained specifically on legal data and conducted reinforcement learning in tens of thousands of simulated legal environments. Currently, GLM-Legal requires an API trial application.

According to The Information, NVIDIA (NVDA.O) will invest in chip competitor D-Matrix.

According to South Korean media Chosun Biz, SK Hynix's NAND is lagging in the transition of old process lines, making it difficult to narrow the efficiency gap. As of the second quarter of this year, its 176-layer products still account for about 50%, while Samsung has completed the transition mainly to 236 layers. Omdia data shows that Micron's 232-layer products account for 53%, and YMTC reaches 68%.During the rising cycle of NAND prices, companies with a higher proportion of advanced processes see better cost and profit improvements. SK Hynix (including Solidigm) saw its NAND revenue share drop from 21.4% in the fourth quarter of last year to 16.4% in the first quarter of this year, while YMTC increased from 11.5% to 16.2%. SK Hynix prioritizes equipment investment in DRAM and HBM, with NAND investments decreasing for three consecutive years, from $3.5 billion in 2023 to $2.9 billion in 2025, slowing down the transition. It is currently considering impairing old NAND assets to optimize costs.

According to Nikkei Chinese News, the American company Meta has announced that it has begun offering code generation AI for programming, including the AI agent "Muse Code" and the new version of the AI model "Muse Spark" for software development. Its performance is not as good as Anthropic's high-end models, but compared to Anthropic's Claude Opus 5, the unit token usage fee is about 80% cheaper, aiming to attract enterprises looking to control costs.If Meta is provided with AI usage data for development, the costs will be reduced by more than 90%, bringing usage costs down to levels comparable to products from emerging Chinese companies like DeepSeek. Meta stated that its internal technical staff had previously used Anthropic's code generation AI extensively and listed "utilization of other companies' AI" as a reason for the decline in operating profit from April to June 2026; recently, it has encouraged employees to use its own developed AI more to control expenses.Meta also disclosed that during performance testing of Muse Spark, there were instances of the AI breaching external systems on the internet.

According to Bloomberg, citing Smart Analytics Global data, the global shipment of humanoid robots in the first half of 2026 is approximately 19,100 units, a year-on-year increase of over 200% (compared to about 5,100 units in the same period last year), with Chinese manufacturers accounting for over 97%. The agency expects the total shipment for the year 2026 to reach about 60,000 units, and it is anticipated to grow to 500,000 units by 2030.The report points out that China has formed an early leading advantage over American competitors in the field of humanoid robots. Previously, Morgan Stanley raised its forecast for China's humanoid robot shipments in 2026 to 50,000 units, and IDC data also shows that the top five companies in global humanoid robot shipments in 2025 will all be Chinese firms, while American companies Figure AI and Tesla rank seventh and ninth, respectively.

ARK Invest Research Director Lorenzo Valente commented on the OpenUSD stablecoin project launched by several institutions. He stated that, despite the strong capabilities of the participants (including Visa, Stripe, Mastercard, BlackRock, Coinbase, etc.), OpenUSD faces multiple significant obstacles:First, there are liquidity and cold start issues; USDC and USDT have already formed strong network effects, dominating exchanges, payment processors, and brokers, making it difficult for the new stablecoin to gain trading pairs and large-scale holding willingness;Second, the decision-making speed of the alliance composed of 500 competitors will be extremely slow, lacking successful precedents, and conflicts of interest will be hard to coordinate;Third, the regulatory and antitrust risks are extremely high; the joint issuance of currency by large banks and card networks is likely to become a regulatory focus;Fourth, the revenue-sharing model results in issuers retaining too little capital, making it difficult to cover high operational and promotional expenses;Fifth, the actual commitments from partners are limited, mostly consisting of letters of intent (LOI), and parties are still supporting competitors, preferring multiple hedges rather than exclusive binding.Valente concluded that OpenUSD is essentially similar to "a DAO of multiple competitors," making it difficult to execute and make decisions quickly, and it may ultimately repeat the governance failures of early DAO projects, which could not be effectively implemented.Affected by the OpenUSD plan, Circle's stock fell over 17% in a single day, and ARK Invest took the opportunity to buy in.

Kalshi CEO Tarek Mansour stated in an interview with Front Office Sports that he does not view Polymarket as a primary competitor, but is more concerned about the threats posed by CME Group, Robinhood, and sports betting operators. According to data from Bank of America analysts, Kalshi holds about 91% of the regulated prediction market share in the U.S., with approximately $1 billion of the $1.6 billion in open contracts in the industry, and has listed about 97% of active markets.In the past 30 days, Kalshi's trading volume was approximately $9.8 billion, close to Polymarket's $9.9 billion. CME launched FanDuel Predicts in partnership with FanDuel last December; Robinhood began shifting some contracts to its Rothera platform in collaboration with Susquehanna after building a prediction market based on the Kalshi exchange in 2025.Mansour called for Polymarket to be included in a regulatory framework, stating that insider trading cases on its offshore platform harm the entire industry. The CFTC released a 267-page rule proposal on June 10, intending to allow most sports contracts but prohibiting in-game betting and college pre-game sports, with a 45-day public comment period.

According to CoinDesk, United Texas Bank (UTB) has received approval from the Office of the Comptroller of the Currency (OCC) to convert from a state-chartered bank to a national-chartered bank, becoming one of the first banks to complete the OCC conversion since the Dodd-Frank Act was passed 15 years ago. The bank's CEO Scott Beck stated that this move gives it the same federal license and direct access to the Federal Reserve payment system as large banks like Bank of America and JPMorgan Chase.The bank currently clears about $10 billion monthly for global crypto enterprises and has launched the AI-driven real-time payment network UTB Atomic and the compliance platform UTB Prism Sentinel to restore 24/7 crypto liquidity. The bank also plans to launch a digital asset custody and trust services division this summer.

According to Cointelegraph, the trading volume of the prediction market platform Polymarket saw a month-on-month decline in April, dropping about 8.9% compared to March, marking the first monthly decline since last August.According to Dune Analytics data, the total trading volume of Polymarket and its U.S. application in April exceeded $10.2 billion, down from $11.2 billion in March. In contrast, competitor Kalshi's trading volume increased significantly by 13% in April, reaching about $14.8 billion.Despite the decline in Polymarket's share, the total trading volume of the entire prediction market still grew from $26.5 billion in March to $29.8 billion in April, a month-on-month increase of 12.4%.

According to Bloomberg, Morgan Stanley is piloting cryptocurrency trading services on its E*Trade platform, charging a fee of 50 basis points on each crypto transaction based on the transaction amount, which is lower than major competitors like Coinbase, Robinhood, and Charles Schwab.Approximately 8.6 million E*Trade customers are expected to have access to this feature by the end of the year. The report noted that Morgan Stanley has been continuously expanding in the crypto space over the past year, having launched the lowest-fee Bitcoin ETF, plans to launch Ether and Solana ETFs, and applied for a national trust bank license to provide digital asset custody, with future support for institutional clients trading tokenized stocks.

According to Jinshi News, artificial intelligence chip manufacturer and data center operator Cerebras Systems plans to raise up to $3.5 billion through an initial public offering to compete against rivals in this hot industry.According to documents submitted by the company, headquartered in Sunnyvale, California, to the U.S. Securities and Exchange Commission, the company is issuing 28 million shares at a price of $115 to $125 per share. Cerebras had secretly submitted its listing application earlier this year, and just a few months ago, the company withdrew a previous registration application.

Microsoft announced on Monday the launch of two new features for Copilot Researcher—Critique and Council—combining OpenAI's GPT with Anthropic's Claude for the same research task.Critique adopts a sequential collaboration model: GPT is responsible for planning the research, retrieving information, and generating the first draft, while Claude serves as a strict reviewer, checking the accuracy of facts and the quality of citations; Council allows both models to independently generate reports in parallel, with a third referee model comparing differences and summarizing discrepancies.In the DRACO benchmark test covering 100 complex research tasks across 10 fields including healthcare, law, and technology, Copilot equipped with Critique scored 57.4 points, leading the second place by nearly 14%, far surpassing Claude Opus running alone with a score of 42.7 points.

Zhao Changpeng posted on platform X in response to targeted FUD in the community, stating: "Last year, Western competitors bought media to blacken me quite a bit. This year, a major Chinese competitor is spending money to do (black) advertising against us. Other competitors in the Asia-Pacific region are competitive, but they are all relatively professional. The community is divided; how can the price of the coin rise? Focus on building."

CZ added on his "Wei Wei" X account with 863,000 followers: Who would impersonate a supporter of BNB, using fake AI images for several months just to spread FUD? I can't think of any other possibility; I can only say this looks like something a (self-important) competitor would do, focusing on us more than on themselves.This account seems to have previously belonged to a lady. Before February 2015, the account mostly posted photos of women. Then in July 2015, the account suddenly switched and started posting only cryptocurrency-related content. Either the account was hacked or it was bought. They didn't even bother to delete the old photos. Those old pictures can still be seen on his media page. What a lazy bot.