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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."

Polygon executives: Stablecoins will enter the "era of hundreds of thousands of issuers," and banks will be forced to restructure their capital models

Polygon's global head of payments and RWA, Aishwary Gupta, believes that global stablecoins are entering a "super cycle," with the number of stablecoin issuers potentially exceeding 100,000 in the next five years.Gupta pointed out that Japan is participating in government bond and policy stimulus pilots through stablecoins like JPYC, proving that stablecoins can become tools of national economic sovereignty rather than undermining central bank power. He stated that stablecoins, like fiat currencies, are influenced by monetary policy and will essentially enhance the global demand for a country's currency, similar to how stablecoins drive the usage of the dollar.Gupta also warned that stablecoin yields are attracting low-interest deposits (CASA) from the banking system to on-chain, weakening banks' ability to create credit and maintain low-cost capital. To respond to this competition, he expects banks to issue "deposit tokens" on a large scale to keep funds on their balance sheets while allowing customers to use their assets on-chain.He believes that as the number of stablecoins rapidly expands, future payment systems will rely on a unified settlement layer, allowing users to pay with any token while merchants receive payments in another token, with the underlying conversion happening seamlessly in the background.

Sam Altman: OpenAI does not seek to be "too big to fail," expects annual revenue to exceed $20 billion, and may reach hundreds of billions by 2030

OpenAI founder Sam Altman rarely published a long article to clarify related messages, stating that OpenAI does not seek or wish for the government to provide guarantees for data centers. He believes that the government should not pick winners or use taxpayer money to bail out failing companies. If OpenAI fails, other companies will continue to work. He suggests that the government should build and own AI infrastructure itself, with the profits going to the government, which may provide low-cost capital to establish a national reserve of computing power, but for government interests rather than private companies.OpenAI expects its annual revenue to exceed $20 billion this year, reaching hundreds of billions by 2030, and anticipates about $1.4 trillion in investment commitments over the next eight years. Revenue sources will include categories such as enterprise products, new consumer devices, robotics, AI scientific discoveries, etc.; direct sales of computing power; and possibly issuing equity or debt in the future. OpenAI does not seek to be "too big to fail," and if it fails, it should be handled by the market. In addition, it hopes that artificial intelligence can be widespread and affordable. This technology is expected to have huge market demand and improve people's lives in many ways.
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