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Liang Wenfeng is dissatisfied with the leak of the 4-hour internal speech, and DeepSeek announced the suspension of the second round of financing

According to Bloomberg, DeepSeek announced the suspension of its second round of financing and verbally notified some potential investors that it would not sign investment agreements as expected. This suspension partly stems from founder Liang Wenfeng's dissatisfaction with the leak of a 4-hour internal transcript during its first financing deal, where he made 52 statements in an investor meeting regarding DeepSeek's organizational culture, open-source logic, technology roadmap, and views on the competitive landscape of the industry. The nearly 4-hour meeting record recently went viral on social media, including statements such as "The biggest gap between China and the U.S. in AI is computing power resources." Both DeepSeek and Liang Wenfeng have not confirmed the authenticity of the leaked record.DeepSeek stated that it may still choose to resume the transaction process in the future and has begun preparations for an initial public offering, with the IPO potentially being filed as early as this year.DeepSeek completed its first round of external financing in June 2026, raising over 50 billion yuan, approximately 7.4 billion dollars, with a post-investment valuation of about 50-59 billion dollars. It adopted a special structure, with most funds entering a limited partnership managed by Liang Wenfeng, where investors have no voting rights and are locked in for 5 years. Liang Wenfeng himself contributed about 20 billion yuan as the largest contributor, with participation from Tencent, CATL, JD.com, NetEase, and the Chinese National AI Fund. DeepSeek subsequently initiated discussions for its second round of financing in mid-July, targeting a valuation of about 71 billion dollars.

hot_img Transcript of Liang Wenfeng's investor meeting leaked: Claims restraint is a strategy, with the goal of AGI rather than super apps

Last month, comments from Liang Wenfeng during the DeepSeek investor meeting have recently circulated. Liang Wenfeng clearly stated that DeepSeek's goal is AGI, rather than becoming the next super app. They will not engage in 3D, video generation, or world modeling, nor will they close source code, stating, "Restraint is a strategy used to increase the probability of achieving AGI." He believes that products are merely "by-products" on the path to AGI, with the current focus on Coding Agent and continuous learning capabilities. The next phase aims to achieve autonomous model iteration, with the endpoint pointing towards embodied intelligence.In terms of commercialization, Liang Wenfeng stated that they only seek to earn "reasonable profits" and do not set profit maximization as their pricing goal. DeepSeek is "still far from a complete shift to commercialization." He assesses that the gap between AI in China and the U.S. mainly lies in resources rather than talent, stating, "Using a fraction of the computing power can narrow the gap to 6 months, 3 months." Regarding industry competition, he believes that open source is "the sweet point for companies of this scale," while also predicting that domestic large models will ultimately converge to "two large companies and two small companies." Liang Wenfeng also mentioned that maintaining team stability is the only non-negotiable core principle, and the company is driven by vision, with "a group of ordinary people achieving extraordinary things."

Zilliqa Ledger application exposes serious vulnerability, signing 5 native transactions may leak private keys

Zilliqa stated that there is a serious random number generation vulnerability in the Zilliqa Ledger application, affecting the Schnorr signatures of native non-EVM Zilliqa transactions. Attackers can recover the signer's private key from the biased temporary random numbers using only publicly available on-chain data.Any account that has signed and broadcasted about 5 or more native transactions through the Zilliqa Ledger application should be considered compromised. Since the related signatures are permanently recorded on the chain, subsequent updates to the application cannot eliminate the risk, and the affected private keys must be deactivated. EVM transactions and development tools such as zilliqa-js, gozilliqa-sdk, and pyzil are not affected.The vulnerability arises from the application selecting the wrong 32 bytes when copying the random number, retaining 8 bytes of zero padding and losing 8 bytes of entropy, resulting in each random number having a maximum of 64 bits fixed to zero. Attackers can use 5 or more affected signatures to recover the private key within seconds using ordinary hardware. Zilliqa observed suspected active exploitation on July 19 and confirmed the root cause on July 21.Zilliqa has suspended native transactions to prevent further loss of funds and is preparing a revised application with Ledger. However, the revised version cannot protect the exposed keys, and affected users should not transfer assets on their own but wait for the official announcement of a coordinated disposal plan.

Leaked documents reveal OpenAI's financial status in 2025: revenue reaches $13 billion, net loss exceeds $38.5 billion

According to financial audit documents disclosed by technology critic Ed Zitron and verified by the Financial Times, OpenAI achieved revenue of $13.07 billion in 2025, but total costs and expenses reached $34 billion, resulting in an operating loss of $20.92 billion for the year. Due to OpenAI's structural shift to a for-profit entity that year, it incurred a loss of up to $41.55 billion from the fair value change of convertible equity and warrants. After accounting for interest and other factors and excluding non-controlling interest gains and losses, the final net loss attributable to OpenAI for 2025 amounted to $38.53 billion.Comparative data in the documents indicate that OpenAI's losses are showing a dramatic year-on-year increase. Its revenue in 2024 was $3.7 billion, total costs were $12.48 billion, operating loss was $8.78 billion, and the final net loss attributable to the company was $5.09 billion. By 2025, its core expenses saw R&D costs surge to $19.18 billion, revenue costs were $7.5 billion, and sales and marketing expenses were $5.73 billion. By the end of 2025, OpenAI had slightly over $50 billion in assets, nearly half of which was cash reserves.Additionally, the document disclosed for the first time the financial transactions between OpenAI and its major strategic partners in detail. During 2025, SoftBank paid OpenAI $867 million, while Microsoft paid $303 million. Meanwhile, OpenAI paid Microsoft service fees of up to $17.2 billion in the 2025 calendar year, of which $10.59 billion was accounted for as R&D expenses (widely believed to be for model training costs), and $6.047 billion was related to revenue costs. By the end of 2025, OpenAI still had approximately $3.64 billion in liabilities to Microsoft.

SIVE is accused of leaking news about its dual listing in advance, and the Swedish prosecutor recommends Nasdaq to initiate an investigation

According to Marketscreener, Swedish Economic Crime Authority prosecutor Jonas Myrdal stated that the early leak of news on social platform X regarding Sivers Semiconductors (SIVE) considering a dual listing in the U.S., which was officially confirmed by the company about 48 hours later, is not a coincidence and is highly likely to involve information leakage.Jonas Myrdal pointed out that the relevant information was published and continuously promoted on the X platform by an anonymous account with about 200,000 followers before the official disclosure, which subsequently led to a significant increase in the company's stock price within a short period. This pattern of behavior is similar to a previous case involving "pump-and-dump" manipulation, in which three individuals were convicted of serious market manipulation. He further suggested that the Nasdaq exchange should investigate this incident and assess whether there are violations of the EU Market Abuse Regulation (MAR). Currently, the source of the information leak is still under investigation.Previously, the "new stock god" Serenity posted on the X platform, seemingly "calling" Sivers, and expressed an optimistic outlook after further reviewing the latest earnings call content of Sivers Semiconductors. The company's management stated that "viewing ecological partners as competitors is not the correct mindset in a super cycle where demand far exceeds supply," reflecting the current strong demand in the photonics industry. Additionally, the photonics business pipeline has rapidly grown over the past five months, driving an overall revenue pipeline increase of 77%.

Superfortune: The leakage of the attacker's private key rather than address poisoning is not the work of an insider

Superfortune, incubated by Manta, recently released an update on the X platform regarding a security incident, stating that the attack was not carried out by internal personnel and that no team members were involved. The claim about the team secretly selling tokens is incorrect. The team has also not had any contact with Web3Port.The investigation confirmed that the attack was not due to address poisoning, but rather a leak of the signer's private key. The attacker independently held the private key and submitted a transaction with a forged address 43 minutes after the correct transaction. The forged address shares the first and last four characters with the correct address (starting with 0x70AE and ending with 5C15) to disguise itself in the Safe interface preview. The stolen funds are fully traceable and are currently stored in three cold wallets on Ethereum, containing approximately 2784 ETH, along with about 170,000 USDT that were cross-chain transferred out.The attacker also created a large number of counterfeit addresses and sent false transfer events to these addresses using Unicode-forged token symbols in an attempt to confuse tracking. This counterfeit address construction technique is the same as the method used when attacking this project. The attacker had pre-built a large-scale infrastructure, indicating that this was an industrialized operation rather than an opportunistic attack.
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