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Zhipu has acquired AI Infra company Zhongke Jiahe for hundreds of millions, fully addressing the shortcomings in underlying heterogeneous computing power engineering

According to "AI Technology Review," China's leading large model company Zhipu has invested hundreds of millions of yuan to acquire the AI heterogeneous computing power software infrastructure company Zhongke Jiahe. This move aims to completely address Zhipu's shortcomings in the underlying engineering and compiler capabilities of large models, in response to the structural shortage of computing power and high-concurrency inference challenges caused by a surge in user numbers.Zhongke Jiahe's technology originates from the Compiler Laboratory of the Institute of Computing Technology, Chinese Academy of Sciences, founded by Dr. Cui Huimin. Its core team has been deeply involved in the development of compilers for several domestic chips, including Loongson, Sunway, Cambricon, and Huawei Ascend. Zhongke Jiahe's core advantage lies in its virtual instruction set technology, which can unify different brands and models of chip ecosystems through middleware software, assembling scattered domestic chips into a unified ultra-large-scale cluster, thereby significantly improving overall computing power utilization; its SigInfer inference engine is claimed by the official source to reduce the inference latency of large models by up to 74 times.Recently, Zhipu's Coding Agent business has experienced explosive growth. The newly released GLM-5.2 large model saw a 27-fold increase in daily Token call volume during its first week on the aggregation platform, leading to the exposure of systemic engineering bottlenecks in its inference infrastructure under high concurrency and long context scenarios. After being placed on the U.S. Entity List, Zhipu has actively promoted domestic alternatives and has now completed inference adaptation for eight major domestic computing power platforms, including Huawei Ascend, PingTouGe, and Moore Threads. The acquisition of Zhongke Jiahe will not only directly improve Zhipu's unit Token inference cost and output quality but also provide core underlying compiler technology support for its previously rumored self-developed custom AI inference chip plan.

Goldman Sachs and JPMorgan Chase released their Q2 financial reports, with hundreds of billions in credit flowing into adjacent sectors of cryptocurrency

According to BBX data, yesterday the two flagship institutions on Wall Street released their Q2 2026 financial reports on the same day, forming an important institutional narrative anchor regarding AI infrastructure and digital assets. The core dynamics are as follows:The Goldman Sachs Group, Inc. (NYSE: $GS) released its Q2 2026 financial report on July 14, with CEO David Solomon providing the strongest institutional endorsement of AI infrastructure to date during the earnings call: "AI infrastructure is in the early innings of a multi-year investment cycle," and stated that the company expects to finance most of the AI infrastructure development, driving growth in mergers and acquisitions, debt and equity issuance, and lending opportunities. This assessment highly resonates with Goldman’s ongoing positioning in the crypto ecosystem: Q1 2026 13F shows the company holds approximately $700 million in iShares Bitcoin Trust ($IBIT) positions, while simultaneously liquidating all positions in XRP ETF and Solana ETF, and increasing holdings in Circle ($CRCL), Galaxy Digital ($GLXY), and Coinbase ($COIN) stocks; the company applied to the SEC for a Bitcoin Premium Income ETF (covered call option structure) on April 14; and on June 12, completed a $75 billion fundraising as the lead underwriter for SpaceX's largest IPO in history. Solomon's "early innings" assertion is a public confirmation that Goldman views AI infrastructure investment and crypto asset allocation as part of the same long-term narrative.JPMorgan Chase & Co. (NYSE: $JPM) also released its Q2 2026 financial report on July 14. According to CoinDesk Live Updates, CEO Jamie Dimon identified the rapid construction of AI computing infrastructure as a core driver of corporate investment and financing demand during the earnings call, forming a rare cross-institutional consensus with Goldman and BofA. JPMorgan has previously maintained a cautious stance on crypto regulation, but its statements in the AI data center financing sector are becoming a foundation for its entry into adjacent crypto tracks (including loans to AI mining companies and tokenized bond underwriting). Notably, JPMorgan has previously issued multiple warnings of "time running out" during the CLARITY Act legislative process, and this financial report did not provide a new legislative timeline assessment, but the strong qualitative outlook for AI infrastructure indicates that the bank will continue to provide financing services to AI mining clients such as TeraWulf and IREN, further deepening its balance sheet exposure to the crypto ecosystem.

OKX Star responds to VIP manager Yuki's departure: OKX has hundreds of former employees from BN

ChainCatcher, regarding the incident of OKX employees leaving to join Binance, OKX founder Star tweeted that over the past few years, many excellent OKX colleagues have joined other companies in the industry, including Yuki. We are proud of them for gaining recognition and favor from competitors, and we sincerely wish them success in their future development.OKX has hundreds of former employees from BN, including regional CEOs, product leaders, technical leaders, and many outstanding business and functional colleagues. They have brought valuable experience, perspectives, and input to OKX and have made significant contributions to the company's development. More importantly, they have deeply integrated with the OKX team and become part of OKX's culture and success. We have never treated this matter as marketing material to hype up.Talent mobility within the industry is a normal phenomenon and a sign of industry maturity. What truly matters is not where people come from, but whether they can continuously create value. Of course, for the very few who violate laws, business integrity, and professional ethics, we will take resolute measures and legally protect the company's legitimate rights and interests."A company that constantly talks about its vision, where the founder even in writing a book does not forget to heavily belittle former employees including the former CFO and former Asia head, is often the one with the least vision," Star said.Previously, according to RootData, former VIP account manager of OKX Yuki left to join Binance as a key account manager, sparking discussions among many crypto KOLs such as KuaiDong.

Binance Security Report: Deployed hundreds of AI models for defense system, cumulatively intercepted $10.53 billion in risky funds

Binance released its latest security report, addressing the current industry situation of rapidly spreading AI scams. The platform has deployed over 24 AI security programs and equipped more than 100 AI models to build an intelligent defense system against various types of cryptocurrency fraud.Statistics show that from early 2025 to the first quarter of 2026, Binance has protected over 5.4 million users and intercepted potential fund losses of $10.53 billion. In Q1 2026, the platform successfully intercepted 22.9 million scam and phishing attacks, protecting user funds amounting to $1.98 billion, with an average of over 9,600 real-time risk alerts pushed daily, and a total of 36,000 malicious on-chain addresses blacklisted.The report pointed out that deepfakes, voice cloning, and phishing bots have become mainstream scam tactics, with the overall scale of cryptocurrency fraud reaching $17 billion in 2025, a year-on-year increase of 30%. In terms of risk control, Binance's AI system handles 57% of fraud detection work, reducing the credit card fraud rate to 60%-70% of the industry average; it has upgraded AI anti-counterfeiting KYC reviews, with review efficiency improved by up to 100 times.The AI trading tool Binance Ai Pro uses an isolated account structure, only allowing trading permissions and prohibiting withdrawals, with the platform intercepting 12% of high-risk third-party AI plugins. Additionally, in 2025, Binance assisted in recovering $12.8 million in scammed funds, handled 48,000 cases, and collaborated with law enforcement to freeze $131 million in illegal assets.

Kraken partners with MoneyGram to launch cryptocurrency withdrawal services in over a hundred countries and reveals that the IPO process is "80% complete"; MARA Holdings' Q1 financial report is scheduled for May 11, with consensus expectations of a loss of $2.34 per share

According to BBX data, this week the outflow channels of cryptocurrency infrastructure and the forward-looking financial reports of mining companies are advancing on two fronts, with the core dynamics as follows:Kraken (parent company Payward, Inc.) and the global payment network MoneyGram announced the establishment of a global strategic partnership through PR Newswire on May 5. Kraken users can withdraw cash exchanged for cryptocurrency in hundreds of fiat currencies at nearly 500,000 MoneyGram physical locations covering over 100 countries; initially focusing on cryptocurrency outflows, with plans to expand to local bank deposits and cross-border remittance flows; Kraken is responsible for customer identity verification, while MoneyGram provides licensed remittance services and compliance frameworks. Kraken co-CEO Arjun Sethi confirmed in an interview with Fortune that the company's IPO progress is "close to 80%," having previously submitted its confidential S-1 filing to the SEC. Bloomberg estimates the current valuation at approximately $13.3 billion based on a $200 million equity investment from Deutsche Börse.MARA Holdings, Inc. (NASDAQ: $MARA) officially announced on ir.mara.com on May 4 that its Q1 2026 financial report will be released after the market closes on May 11, with a conference call scheduled for 5:00 PM (ET); analyst consensus expects an EPS of approximately -$2.34 and revenue of about $184.2 million. As of the end of 2025, the company holds 53,822 BTC, with full-year revenue for 2025 at $907 million (up 38% year-on-year) and a hash rate of 66.4 EH/s; during Q1 2026, the price of BTC fell from about $87,000 to around $68,000, putting pressure on the mining company's total costs. The market will focus on the progress of its AI/HPC data center transformation and the rollout pace of the Starwood JV, which exceeds 1 gigawatt capacity.The U.S. Department of Labor released the April non-farm employment data on May 8, showing an increase of 115,000 jobs, nearly double the market expectation; Bitcoin maintained a range of $79,000---$80,000 after the data was released, with the market interpreting this "soft landing" signal as favorable for risk assets—an unheated job market means an increased probability of the Federal Reserve maintaining current interest rates, keeping the mid-term liquidity environment for cryptocurrency stable. The monthly net inflow for Bitcoin spot ETFs in April was approximately $2.44 billion, the strongest single month data of the year; April's monthly close rose by 16%, and if May's closing price remains above $76,000, it will confirm three consecutive months of positive monthly closes for Bitcoin, which Fundstrat founder Tom Lee defines as a "bear market ending signal."

Meta cuts hundreds of employees and continues to increase investment in AI

According to the New York Post, Meta is laying off hundreds of employees in Silicon Valley while the tech giant is heavily investing in artificial intelligence and considering cutting more than 20% of its total workforce. According to the latest state government filings, the parent company of Facebook will lay off nearly 200 employees in the San Francisco Bay Area. The layoffs will affect 124 employees in Burlingame, California, and 74 employees in nearby Sunnyvale. The documents indicate that these layoffs will take effect in late May, and all affected positions will be permanently eliminated.Experts say this move indicates that Meta is undergoing a major strategic transformation—from a labor-intensive operational model to a machine-driven system. Meta's recent AI-related initiatives include plans to invest $10 billion in building data centers in El Paso, Texas.Meta is also considering larger layoffs. Senior employees have been informed to prepare for layoffs that could affect more than 20% of the company's workforce—about 15,000 employees. In response to this plan, a Meta spokesperson stated, "This is speculative reporting about a theoretical proposal."If the layoffs proceed, it would be the largest layoff at Meta since more than 20,000 employees were cut during Zuckerberg's push for the company's "year of efficiency" in 2022 and 2023. In a Meta earnings call, Zuckerberg stated that due to the application of AI tools, Meta has begun to "see projects that previously required large teams now being completed by a very talented individual."
2026-04-03

ZachXBT exposes social media account collaborations promoting cryptocurrency scam projects, with the scale of involvement reaching hundreds of thousands of dollars

On-chain detective ZachXBT disclosed today that a collaborative network consisting of at least 10 accounts is generating traffic on social platform X by creating panic-inducing content related to wars and ultimately directing it to cryptocurrency scam projects.This network acquires accounts with an existing follower base, frequently posts sensational "apocalyptic" content, and amplifies dissemination by having multiple secondary accounts retweet each other, quickly gaining millions of views and significant interactions. Investigations show that these accounts also utilize AI to generate fake personas, such as fabricating an "Asian version of Mario Nawfal" to enhance credibility. After gaining traffic, the relevant accounts promote fake airdrop events or cryptocurrency project scams, including a concentrated promotion of a pump-and-dump project named ORAMAMA on February 22, 2026, which is then no longer mentioned.On-chain data indicates that this operation has brought six-figure profits to the team behind it. Meanwhile, many genuine large accounts inadvertently engage in interactions through comments and retweets, further amplifying the content dissemination effect. ZachXBT warns that this combination model of "traffic farms + AI content + cryptocurrency scams" has become highly mature and is easily replicable. If similar mechanisms are exploited by higher-level organizations, their potential impact will far exceed the realm of financial fraud and may even evolve into a tool for public opinion manipulation.ZachXBT calls for platforms to strengthen regulation, implementing bans and legal accountability for such manipulative behaviors. He also advises users to carefully verify account histories and information sources before engaging in interactions to combat the increasingly rampant phenomenon of false content and "interaction bait."
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