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Clark, the mysterious woman behind the $13 trillion IPO

When Indian Prime Minister Narendra Modi invited global AI leaders to meet in New Delhi earlier this year, each executive was only allowed to carry one entourage. Most people brought colleagues, while Anthropic CEO Dario Amodei brought his wife Cami Clark. Clark doesn't have any official position at Anthropic, yet he almost never misses her husband's important occasions — whether it's a front row seat at the Davos Forum or an Allen & Co. investor party in Sun Valley. According to people familiar with the matter, she is Amodei's most important strategic advisor and emotional pillar, while also managing the family's personal investment strategies and assisting in screening external investment invitations. More importantly, it was she who brought former Google CEO Eric Schmidt into Anthropic's early investor camp, laying an important foundation for the company's start. Clark's existence is under unprecedented scrutiny, as soon as Anthropic hit an IPO worth over 2 trillion US dollars (about 13.49 trillion yuan) this fall. The Wall Street Journal and The Information have recently released in-depth reports to restore the twists and turns of the “First Lady of Anthropic” from a Reno blue-collar family to the core of the world's hottest AI company — including a little-known past: she tried to raise funds from registered sex offender Epstein to seek investment in her adult film company. There is an alarming gap between the influence of Clark, a deliberately hidden “shadow advisor”, and his online presence. According to Wall Street Journal analysis and a source familiar with the matter, information about Clark on the Internet is extremely scarce, and some people have taken the initiative to delete related records. Her personal website has gone offline, her LinkedIn homepage has disappeared, and Instagram has stopped being updated. Amodei's Wikipedia page did not state that she was married until this summer, and she hasn't listed her wife's name yet. When I Google “Dario Amodei's wife,” a picture of her sister, Anthropic co-founder Daniela Amodei, often pops up. Even Anthropic's own AI chatbot, Claude, can only answer when asked about related questions: “Dario Amodei's marital status doesn't seem to have been clearly confirmed. “But in the real world, Clark's presence is very different. She accompanied her husband to high-profile events such as Davos, New Delhi, and Sun Valley, and made up for Amodei's lack of restrained personality with her outgoing social style. According to people familiar with the matter, she will take the initiative to discuss with politicians and potential investors before introducing them to her husband. At the Sun Valley conference in July of this year, she had lunch with Ivanka Trump and chatted with Jared Kushner — previously Amodei had approached Kushner to seek investment. A person who met the couple said that although the two have been together for over ten years, they “felt as close as a newlywed couple” when they saw them at an event recently. From Reno to Silicon Valley: A Winding Entrepreneurial Road Clark was born in Reno, Nevada in 1979 and grew up in a blue-collar family. According to a person familiar with her, she began working part-time at the plumber's union with her grandmother and aunt when she was 14 years old. After high school, she went to the San Francisco Bay Area to study architecture at the California Institute of the Arts, then worked in business development at high-end office furniture company Herman Miller, thus gaining her first window into the technology industry. In 1999, Clark, who was only 20, married 64-year-old Reno architect Waldemar Eklof III and divorced three years later. Since then, she has traveled between San Francisco, New York, and Los Angeles. Her San Francisco apartment was foreclosed by the bank in 2007 and filed for bankruptcy in 2009. However, she never stopped trying to start a business. Around 2009, Clark and Michelle Capocefalo co-founded Eddice, an adult film company targeting women, under the slogan “intellectually promising”...

8d ago华尔街见闻#AI #Anthropic #Dario Amodei

Behind Hermes' rise to the top: A Web3 team's path to advancement

Author: Jacob Zhao Original title: IOSG Weekly Brief | Behind Hermes's rise to the top: A Web3 team's path to advancement The phenomenal growth of #340Hermes did not stem from OpenClaw's exclusive technology that cannot be replicated in principle, but because it most accurately closed a “challenger growth system” during the critical window of individual agent category formation: taking over OpenClaw's already educated and mature user pool to establish “delegability” ( (Incurable Trust) This difference in experience is more real than the “self-evolution” narrative. As professional execution agents become more and more powerful, users still need a manager who is online for a long time and is worth entrusting. Open OpenRouter's public application rankings. Hermes Agent ranked first on all platforms with 30.5 trillion token usage, and also ranked first in the four categories of Productivity, Coding Agents, Personal Agents, and CLI Agents, leading well-known agents such as OpenClaw and Claude Code in a cliff-style manner. ▲ Figure 1 · Hermes Agent's historical data snapshot on OpenRouter (taken on August 4, 2026, dynamic page data will change over time) Although OpenRouter's statistical caliber cannot cover industry-wide token consumption directly connected to official APIs (such as Claude or Codex native subscriptions), as the world's largest AI model routing and aggregation platform, its list has strong “weather vane” significance. Although at the level of high-end professional tasks, the core business workflows of many users — complex code generation, architecture design, and high-value data analysis — still flow to Claude Code and ChatGPT, Hermes maintains an advantage in use scenarios such as back-office automation, message entry response, long-term online monitoring, and lightweight task scheduling. As an Agent product created by the Web 3 team, Hermes has achieved far more successful dissemination, community, and usage intensity than expected. We can't help but pay attention to: · Why can Hermes surpass OpenRouter inference calls? · What is the real field between it and OpenClaw? · How does Hermes maintain “differentiated coexistence” rather than “head-on competition” in the relationship with Claude Code and Codex? From development frameworks to personal AI systems — the path of OpenClaw why did the early Agent framework not produce consumer products. Before the advent of OpenClaw, the agent field had mature infrastructure, but there were fundamental limitations: the unit used was a “development project enterprise workflow” rather than an “individual user.” The common characteristics of early frameworks were developer-facing, outputting code, or configuration—they built the Agent's infrastructure, but did not deliver the Agent itself. Too high engineering thresholds have always been stuck in the “developer tool” stage, there is a lack of a closed loop of commercialization that transforms technology into “personal assets”, and the “personal agent product layer” directly aimed at end users is almost empty. ▲ Figure 1 · Six-layer structure of the Agent technology stack (model layer → protocol layer → SDK development framework layer → execution infrastructure layer → deployment governance layer) ▲ Figure 1 · Historical data snapshot of Hermes Agent in OpenRouter (taken on August 4, 2026, dynamic page data will change over time) What did OpenClaw really change? OpenClaw did not reinvent Agent Loop or task scheduling technology at the bottom. Its core contribution is systematic packaging at the product level. LangChain solved “how to build an agent”, while OpenClaw solved “how to own an agent”. It skips the middle layer of the technology stack, integrates scattered framework capabilities into a complete product that individuals can directly configure and use for a long time, and realizes a fundamental shift in adoption units from “development projects” to “individuals”...

9d agoburnking#agent #Hermes #WEB3

Scammers have been chatting about setting up virtual currency “mining” scams for more than a month, and more than 30 people have been defrauded of more than 3 million yuan

Comparative news, according to the Qilu Evening News, a new type of virtual currency “pledge mining” scam has recently appeared. The crooks use long-term dating platforms to create perfect personalities, chat with victims for a month or two, and then guide victims to overseas private communication software such as WhatsApp and Discord to induce them to download false mining platforms and sign contract authorizations, and use the contract's asset transfer authority to silently transfer account funds in the background. The crooks did not mention sensitive terms such as “investment” and “financial management” throughout the process, packaging the scam as “idle computing power pledge mining,” claiming zero risk and stable income, and inducing victims to increase their investment through small rebates. Currently, most of the victims are young people in need of side jobs. It is known that the amount of money defrauded exceeds 3 million yuan, and the maximum loss per person exceeds 300,000 yuan. The victims are spread all over the country. Lawyers cautioned that virtual currency transactions are not protected by law. Anyone on a social networking platform that induces a stranger to switch to overseas software or asks the wallet to authorize an unknown contract is considered fraud, and never transfer money twice.

11d ago

OpenAI reveals new model of AI fraud: Cambodian criminal groups use ChatGPT to operate investment and emotional scams

Comparing news, OpenAI recently revealed that it has successfully blocked an internet fraud organization based in Cambodia. The gang used ChatGPT to assist in carrying out various scams such as investment fraud, romance fraud, gambling fraud, and posing as a law enforcement agency. The investigation stemmed from leads shared with WhatsApp's security team. The organization was discovered to be using ChatGPT to create false online identities, generate and translate fraudulent rhetoric, produce fraudulent promotional content, and assist with day-to-day operational matters. OpenAI said it has blocked ChatGPT accounts linked to the operation and shared relevant threat metrics with industry partners and relevant agencies, while taking steps to prevent these attackers from re-accessing its services. Currently, it is not possible to confirm the specific financial losses caused by the fraudster network, but according to the fraudsters' own exchange records, the organization may have contacted hundreds of victims. Some conversations mentioned that the victims lost thousands of dollars.

20d ago

OpenAI blocks Cambodia's use of ChatGPT to create virtual identities and conduct internet fraud accounts

Comparing news, OpenAI said on July 31 that the company has blocked a number of ChatGPT accounts linked to the Cambodian fraud network. The network uses ChatGPT to create false identities, translate fraudulent information and produce promotional content, gain victims' trust through romantic relationships, etc., and then induce them to participate in fake cryptocurrency or gold investment projects. The clues were initially provided by WhatsApp, and the people involved may be operating in the Poipet region of Banteay Meanchey province in Cambodia. OpenAI has shared relevant information with industry partners. Currently, the exact damage caused by the network is unclear, and some victims have allegedly lost thousands of dollars. (IT House)

21d ago

How can crypto VCs find their next opportunity? Haseeb says “some things never come back”

Author: Wu Says Blockchain Original title: Haseeb on Crypto VC: Sorry, Some Things Will Never Come Back In an interview with MAD Society on July 15, 2026, Dragonfly managing partner Haseeb Qureshi discussed crypto venture capital, founder judgments, and long-term trends in the industry. He believes that the key to venture capital is to seize a few non-consensus opportunities. Excellent founders should have outstanding “peak ability,” but lack of integrity and inconsistent words and actions are clear danger signs. Haseeb also said that it is difficult to form long-term enterprises in the direction of some structured products and the tokenization of individual assets, while the DeFi, stablecoin, payment and prediction markets will continue to exist; in the long run, cryptographic technology will eventually be incorporated into various financial and technology products, and the “crypto company” label may gradually disappear. The audio transcription was done by GPT, there may be errors, please watch the original video at YT. Poker and venture capital: How to establish judgment discipline in a long feedback cycle Haseeb Qureshi: There really isn't much compatibility between poker and venture capital. Poker is very similar to trading because they all have very fast feedback loops that can be iterated very closely and quickly. As soon as you play a hand, you'll know whether you won or lost, and whether your decision was right. But in venture capital, the feedback cycle is very slow. If you invest in a founder, it may take many years before you know if your original judgment was correct. In the first year, you may see some initial signs, such as the company is growing and seems to be starting to gain some market recognition. Even if a company has completed Series A or even Series B financing, it can still suddenly go awry. It may have looked like it was going well for several years, but the founders had a fatal flaw that eventually led them to lose the ball in their final offense in the final game of the season. So the reality is, it's hard to quickly judge whether you're doing a good enough job as a venture capitalist. Many funds raised funds by relying on the early book valuation of their portfolios, but it was only discovered in the end that there were no real winners in the entire portfolio. Let's say you invested in Axie Infinity or OpenSea early on, and you probably thought, “Wow, I'm an amazing investor, I did such a great job.” There are also several funds that have invested in FTX in the early stages. At the time, people would say, “My God, this guy is simply the son of choice in the investment world. Can you believe he participated in the FTX seed round?” But just a few years later, the situation became: “OK, this fund doesn't seem to be anything special now.” Because its brightest star project has already exploded. Venture capital is unique in this regard. This means, first, you must take the initiative to establish a feedback mechanism for yourself, rather than expect the world to give you direct feedback. Because as a venture capitalist, you have to keep learning and improving, but it often takes many years to know whether an investment is successful or not. Therefore, feedback must come more from your judgments about your own performance rather than from external results. For a lot of people, this is very difficult. Another difference between venture capital and poker is that venture capital is a team sport, while poker is a single player game. Of course you're playing cards with other people, but essentially you're facing the entire table alone. That's not the case with venture capital. You can only be successful if the founder you invest in is successful; you can only really win if your fund is successful and the projects carried out by the other partners in the fund are also successful. As a result, venture capital relies heavily on collaboration and interpersonal relationships. But if you're a poker player, you hardly need to care about anyone else in the world. As long as you sit at the table, play properly, and continue to make a profit, you can still be a successful poker player even if you don't have any friends. This is also a very different point between the two. Most really good venture capitalists are really good at dealing with relationships. I don't think I'm particularly good at this, but I'm definitely a lot better than the past and better at building relationships than most traders I know. Most traders don't need that. Just like poker players, they don't need to be friendly, be good at handling relationships, and don't need to have a large network of people. Therefore, the ability to really help you make good venture investments in poker is mainly the ability to think clearly about risk and the ability to control emotions well. I found that a lot of venture capitalists aren't really good at this. They can be very emotional, and it's hard to handle conflict. These two aspects are just right...

26d agoburnking

Meta AI launches new features to help make plans, connect to email calendars, and perform tasks

Comparing news, Meta Platforms said that based on Muse Spark 1.1 technology, Meta AI now has the ability to make plans, connect email and calendar applications, create presentations, and handle multiple tasks on behalf of users. Meta said the new Meta AI app and Meta.ai features will be launched in selected markets starting July 24, and will be extended to more countries and platforms in the next few weeks, including WhatsApp.

28d ago

Send a message to transfer coins: Telegram's native wallet is one step faster than X Money and Meta

Author: Claude, Shenchao TechFlow Original title: Can I transfer coins by sending a message? Telegram wants to “plug” 1 billion users into a crypto wallet this summer An in-depth guide: Telegram founder Pavel Durov announced that this summer, a native unmanaged Gram wallet will be built into all Telegram apps to provide instant transfers with zero processing fees for over 1 billion users. GRAM rose about 8% to $1.53 in response. Unlike existing @wallet bots operated by third parties, this wallet was developed by Telegram itself, and users directly control private keys. In the window when superapps such as X Money and Meta stablecoin payments compete for entry, Durov is betting on the crypto-native route, but the “largest scale in human history” implementation promise still lacks technical details and exact timelines. Telegram founder Pavel Durov announced on his Telegram channel on July 21 that a native unmanaged Gram wallet will be built into every Telegram app this summer to provide instant, zero-fee cryptocurrency transfers to over 1 billion monthly active users. Durov characterized the launch as “the largest deployment of a non-custodial crypto wallet in human history.” By contrast, MetaMask, the most widely used self-hosted wallet in the crypto field currently has tens of millions of users, and no crypto wallet has ever started with a 1 billion user base. According to Decrypt, the existing @wallet is a small program developed and operated by the independent third-party company The Open Platform (TOP), and is not an official Telegram product. The service already has more than 150 million registered users. The default model is hosting (that is, a third party hosts the user's private keys), and users need to actively switch to use its self-hosted tier. The new wallet announced by Durov is a feature embedded natively into the Telegram app. From the beginning of the design, it was an unmanaged model, where users control their own private keys and assets. Non-custodial means there are no intermediaries who can freeze, seize, or block transactions. According to BeInCrypto, TOP founder Andrew Rogozov confirmed that the existing hosted @wallet service will remain standalone. However, key issues such as whether the old and new wallets will eventually coexist, what assets the new wallet supports in addition to Gram, and how to handle private key management for ordinary users who have never been exposed to cryptocurrencies were not disclosed. GRAM rose by about 8%, but it is still 88% away from the previous high. After the news was released, GRAM (original Toncoin, TON blockchain native token) rose by about 8.5% to about 1.53 US dollars within 24 hours, with a market value of about 4.18 billion US dollars. According to CoinMarketCap data, this partially offset the cumulative decline of about 25% since July, but there is still a long way to go before a substantial reversal. GRAM's 200-day exponential moving average is well above the current price, and the long-term trend is still bearish. The token's all-time high was $8.25 (during the Telegram “tap-to-earn” gaming boom in June 2024) and hit a yearly high of $2.89 when it announced that it would take over the TON network in May 2026. A return from the current price to the May high would require an increase of around 88%. From the SEC lawsuit to “Make TON Great Again,” Durov's seven-year comeback battle this wallet deployment is the latest chapter in a storyline that began in 2018. In 2018, Telegram raised $1.7 billion for the TON blockchain project and plans to issue a token called Gram. The SEC then sued and determined that the tokens were unregistered securities. In 2020, Telegram reached a settlement with the SEC, returning investors $1.2 billion and paying $18.5 million in fines, and completely exiting the project. Community developers took over and changed the token's name to Toncoin, which operated independently for several years. In 2026, Durov regained control of the TON network and launched a seven-step roadmap called “Make TON Great Again” (MTONGA).

31d agoburnking#Telegram #stablecoins #wallets

IOSG: Why are Wall Streeters saying “no” to ChatGPT and Claude?

Author: IOSG Ventures Original title: IOSG Weekly Brief｜AI's Crossroads: Why Is Wall Street Saying “No” to ChatGPT and Claude? #336为什么需要私有 AI On July 1, Palantir CEO Alex Karp contributed 20 minutes of an interview on CNBC called a “mental breakdown” by some media. According to Karp, the company is paying a token premium to Frontier Labs while watching its IP flow to model vendors. He called this leak an alpha transfer, and the transfer is happening at the architecture layer: every request sent to the closed source model arrives at the service provider's server in plain text. Just a few days before the broadcast of the program, Palantir just announced a partnership with NVIDIA to run an open Nemotron model in a customer-controlled environment, along with a nine AI sovereignty declaration. PLTR jumped 8% after the CNBC show aired. Over the past 20 years, enterprises have relied on agreement level trust to adopt cloud software, and it works. Every SaaS vendor sees only slices of enterprise data, and most have little incentive to feed back to core products with customer data. Salesforce sees sales channels, Workday sees personnel, Jira sees development iterations, and AWS provides the foundation for storage and computing. Today's AI workflow, however, advocates uploading all the household items at once, and stringing together the structured context of each department to maximize productivity. Goodwill aside, upstream service providers can now use this data for new functions instead of leaving them lying in the server eating dust. No one is slowing down. Anthropic's annualized revenue reached $47 billion in May, a sharp jump from $9 billion at the end of 2025, while OpenAI surpassed 900 million weekly active users in February. Both companies completed a new round of financing this spring, are valued at close to $1 trillion, and are expected to IPO at higher market capitalization. Years of privacy and IP accusations haven't caused the two companies to lose any momentum. Some companies have already taken action. In February 2023, less than three months before ChatGPT was released, major Wall Street banks restricted its use. In May 2023, after Samsung engineers leaked the chip source code to ChatGPT, the company banned generative AI across the network. In response, OpenAI launched ChatGPT Enterprise in August of that year, promising not to use commercial data training, plus a zero-data-retention (ZDR) n agreement, which has since become a standard requirement for corporate procurement. However, the contract only locked the company account. IBM found that by 2025, shadow AI (employees feed company data into unapproved AI tools through personal accounts) was involved in one-fifth of data breaches, and heavy shadow AI use added an average of 670,000 dollars to the cost of the breach. In a 2025 survey by safety training company Anagram, four workers said they were willing to violate AI usage policies in order to complete tasks faster. Businesses can at least spend money to buy roads, ZDR contracts, untrained service files, if you're a government or Palantir customer and sovereign deployment. However, for ordinary users like you and me, the importance of AI privacy is still debated until the court subpoena was found. A court order in May 2025 forced OpenAI to keep even consumer chats that users had deleted. In November, the judge also ordered 20 million of these to be handed over to the “New York Times” lawyers as evidence disclosure materials. Then the criminal case: the ChatGPT records of the defendant in the Palisades arson case entered the evidence, and the affidavit for the murder of two dead in Florida cites questions from the suspect about how to dispose of the bodies. Sam Altman also admitted in an interview in July 2025 that ChatGPT conversations are not protected by legal privileges, and OpenAI “may be asked to hand over” user chat records in lawsuits. The point is not that only criminals need intimate conversations. People's conversations with AI are archived and can be summoned, and most users don't know...

38d agoburnking#AI #Claude #GPT #IOSG

The Big Three AI giants hit the capital market: SpaceX, OpenAI, Anthropic or create the biggest wave of withdrawals in US VC history

Comparing news, the “Venture Monitor” report recently released by the US National Venture Capital Association (NVCA) and PitchBook indicates that after SpaceX's listing and the potential IPOs of Anthropic and OpenAI, the scale of value brought by the three companies will reach an unprecedented level. The report said, “With the listing of SpaceX and the future exit of these companies, the value created will exceed the total exit amount of all US VC investors since 2000.” The core factor is the extremely high valuation expectations of the three companies. SpaceX's valuation has now reached approximately $1.77 trillion, while Anthropic and OpenAI are also moving towards multi-trillion dollar corporate valuations. The market estimates that the total valuation of the three companies may exceed $4 trillion. This scale far exceeds even the biggest IPO cases in the tech industry. According to the US Securities and Exchange Commission (SEC) data, the total amount of US IPO financing last year was about $70 billion, and the valuation of a single SpaceX company has reached a level that is difficult to match with traditional large-scale IPOs. As a technology IPO case that has received much attention, Uber (Uber) was valued at around $84 billion when it went public in 2019, which is only less than 5% of SpaceX's current valuation. However, the comparison between NVCA and PitchBook is based on “business value created” rather than the actual amount of cash invested by investors. At the same time, non-US companies such as Alibaba were not included in the analysis. Furthermore, the value created by listed companies such as Apple, Google, Android, YouTube, and Instagram is not included in VC exit statistics. According to the report, the US tech market has had many historic IPOs over the past 25 years, including the listing of companies such as Google in 2004, Tesla in 2010, and Meta in 2012. These companies are now among the world's most valuable companies. Additionally, companies such as LinkedIn, Slack, and WhatsApp have completed mergers and acquisitions worth over $20 billion. NVCA believes that this round of artificial intelligence (AI) -driven listing cycles may further break these records. Analysts believe that there are two main reasons driving this trend: First, technology companies are maintaining privatized operations for a longer period of time than before, accumulating higher valuations through long-term financing and business expansion. If today's Google were in its early stages, it might also choose a later market to get a higher market valuation. Second, the AI industry is highly capital-intensive. Training large-scale AI models requires huge investment to drive AI companies to continue large-scale financing and drive rapid valuation growth. Industry insiders believe that the potential listing scale of SpaceX, Anthropic, and OpenAI will test the ability of the US capital market to undertake. As AI companies enter the open market from the private equity stage, how trillions of dollars of technology assets will flow to the stock market in the future will become the focus of investors' attention. (DigitalToday)

43d ago