Google · 2507

The US Federal Trade Commission is urged to investigate AI companies' act of destroying books

Comparatively, the US Federal Trade Commission (FTC) is being urged to investigate the acts of some AI companies obtaining AI training data by buying, scanning, and destroying books. According to an open letter obtained by Axios, more than a dozen civil society organizations are calling on the FTC to use regulatory powers to examine what large AI companies call disruptive new methods of data acquisition. Earlier, the “Washington Post” quoted court documents as reporting that Anthropic had spent millions of dollars to buy books and remove book spines to scan the pages and use them to train Claude; Google, Microsoft, and OpenAI have also faced similar copyright lawsuits. These organizations want the FTC to further determine whether such actions constitute unfair competition practices. They believe that by acquiring and destroying physical books, AI companies may actually be emptying the market's key data resources. In particular, some rare books may disappear permanently as a result, while digital companies hold the last few physical copies. Relevant organizations warn that this practice of hoarding and destroying may increase competitors' data acquisition costs, while cutting off important raw materials that AI startups rely on to train models, thereby further expanding competitive barriers for leading AI companies. However, rather than requiring the FTC to restrict AI model training, they want regulators to focus on reviewing the destruction of existing works and intervene before large AI companies use this to establish a market advantage. According to the open letter, this approach is not simply a data acquisition strategy, but may become another structural means for leading AI companies to build a systemic moat that is difficult to overcome. Currently, the FTC under the Trump administration wants to maintain a relatively friendly regulatory environment for US companies, and on the other hand, it continues to release attention to market competition and the monopoly risk of large technology companies.

1m ago

Gemini 3.7 Flash hits the market: a week after launch, breaking growth records

Comparative News, AI News, Google CEO Sundar Pichai said that in the first week of Gemini 3.7 Flash launch, it broke the previous Gemini model growth record and became Google's fastest growing Gemini model so far. However, Google did not announce the exact scale of growth and scale of use. This model really hits the cost-effective dessert zone. Artificial Analysis gave it a comprehensive intelligence index of 56. The high inference mode output speed was about 340 token/s, each evaluation task cost about 0.40 US dollars, and it entered the Pareto frontier of intelligence and completion time. The cost of the medium inference model was further reduced to $0.26, entering the Pareto frontier of intelligence and cost. In ARC Prize's independent verification, Gemini 3.7 Flash High Inference Mode received 84.6% in ARC-AGI-2 (Abstract Reasoning Benchmark), and cost only $0.25 per task. Google also quickly introduced 3.7 Flash into its products. Gemini App, Antigravity, and AI Studio are already connected, and Google Search is starting to use this model.

8h ago

Google installs a remote control for Antigravity: the phone directly takes over the local agent

Twitter News, AI Alerts, Google launches remote control function for Antigravity 2.0. While the agent on the computer is still working, people can directly leave the desktop and continue to control it using the browser on the phone or other device. There's no need to install a separate phone app. The remote end can view running sessions, resume tasks, and check plans and products. Users can also connect to a laptop, desktop, and server at the same time and switch between different machines. The mobile terminal can also enable push, and the agent will actively alert when a round is completed or when manual confirmation is required. Google also supports connecting the server to remote control. Even without a graphical interface, you can keep running the Agent on the server and manage it remotely using a mobile phone or browser. The feature is currently being rolled out in batches, with priority given to Google AI Ultra users.

9h ago

When US stocks opened, AI concept stocks generally rose, and ultra-microcomputers rose more than 2.66%

Comparative news, according to MSX.COM data, when US stocks opened, the Dow rose 0.52%, the S&P 500 index rose 0.41%, the NASDAQ rose 0.47%, and the VIX Panic Index fell 3.25%. AI concept stocks rose 2.66%, Baidu 2.43%, Astera Labs 2.19%, TSMC 2.03%, and Ambarella 1.87%. According to reports, MSX is a leading RWA trading platform. It has launched hundreds of RWA tokens, covering popular US stocks and ETF tokens such as Nvidia, GOOGL, MSFT, AMZN, META, TSM, and AMD.

1d ago

Black eats black? Fake DeFi actually snatched out North Korea's Lazarus real hacker

Source: Security Company ANY.RUN Compiled by: Daily Planet Daily Original title: Fishing Show of the Year, Fake DeFi Picks Out North Korea's Lazarus, Real Madrid Fans, Real Madrid Fans. With a mathematical background, they only use AI to write code. Core point of view: By setting up a fake DeFi company, the security agency successfully infiltrated the “Famous Chollima” hacker group under North Korea's Lazarus Group, revealed its complete process of using false identities, AI tools, and remote collaboration to infiltrate Western companies, and revealed its evolving toolset and infrastructure. Key element: The researchers disguised themselves as recruiters and recruited three North Korean agents within a few months to record their operation behavior, tool usage, and collaboration patterns in real time through the ANY.RUN sandbox environment. Agents used forged driver's licenses, stolen social security numbers, and mule accounts to complete the onboarding process. Some of these documents were processed by Google Gemini and had SynthID watermarks, revealing signs of forgery. Attackers rely on AI tools such as ChatGPT and Google Gemini to encode, translate, and modify files, and use AstrillVPN, remote desktop software, and dedicated servers to covertly access corporate environments. The three agents showed insufficient skills during development, frequently searched for basic issues, and exposed more proxy server and infrastructure information induced by selective network outages and captcha. The investigation found that Famous Chollima aims to lurk within the enterprise for a long time and legally obtain access to code, systems, and intellectual property rights, and is not limited to short-term attacks, and the threat persists significantly. Crypto friends who are often phished have probably heard of the North Korean hacker group Lazarus Group. Its well-known “campaigns” include, but are not limited to: Bybit ($1.5 billion) theft, Ronin Network/Axie Infinity Bridge attack ($6.2 billion), DMM Bitcoin/Ginco related attack ($308 million), Harmony Horizon Bridge attack ($100 million), and Atomic Wallet attacks ($100 million), etc. And the key to the success of these attacks is social engineering — hackers usually disguise themselves as normal job applicants, lurk at crypto companies for years, and wait for the right time. Recently, security agency ANY.RUN joined forces with BCA LTD (a company dedicated to threat intelligence and hunting) and NorthScan (a threat intelligence program to uncover the infiltration of North Korean IT workers) to effectively crack down on North Korean hacker agents. The researchers created a fake DeFi startup and successfully recruited “Famous Chollima” agents under North Korea's Lazarus Group who specialize in human infiltration, to gain an inside perspective on the actions of North Korea's IT workers. The ANY.RUN sandbox environment shows the agent's behavior patterns in real time, revealing their evolving toolsets, remote access workflows, AI tool usage, and supporting infrastructure. This survey went beyond the simple recruitment process and showed in depth how these agents collaborated, obtained, and used company resources after joining the company. The findings suggest that the North Korean IT worker program not only poses a recruitment risk; once agents sneak inside the organization, they can legally obtain access to code, systems, intellectual property, and critical business processes. The following is a report co-authored by the three parties, compiled by Daily Planet Daily. ——————Introduction In December of last year, we fully recorded the infiltration cycle of “Famous Chollima” for the first time. From recruiting collaborators to help them join Western companies, to falsifying documents, shipping laptops to intermediaries, and even using AI tools to assist and translate in real time during interviews, everything is under control. In that survey, we pretended to be a middleman willing to interview them and lend them a laptop in exchange for a percentage of their salary. The point is that those laptops are actually ANY.RUN sandbox environments that record every click and every step they take. This provided us with massive metrics, hours of computer operation videos, and face-to-face contact images, making an unprecedented survey and making headlines in many media. (“Famous Chollima...

1d agoOdaily星球日报#wallet security #hacks

Whoever sings down Anthropic may be disappointed

Author: Alan Walker, Silicon Valley Original title: Is Anthropic's Growth Slowing Down? Source of controversy. Claude Code ARR tracking chart produced by TickerTrends. The latest data is $15.12 billion for the week of August 10, 2026, accounting for 21.9% of Anthropic's total ARR. Please note: This is an estimate from a third party agency and is not an official disclosure of Anthropic. The first section below explains how important this difference is. Alan Walker from Silicon Valley made an appointment for dinner in Hong Kong. After some hard work, he discovered that this picture had been retweeted more than 30 times, and the matching statement was similar — “Anthropic's growth has leveled off; 2 trillion dollars is a bubble.” Alan saved the image, zoomed it in, and looked at it again. The problem isn't in this picture. This picture is very well done, and the data is probably done seriously. The problem is that almost everyone who retweeted it was using it to answer a question it couldn't answer at all. 01 Let's first figure out who made this picture, there is a Claude icon in the upper left corner. The color scheme is Claude's familiar orange. At first glance, it looks like an official product. It's not. The author of this picture is TickerTrends and has his name written in the upper right corner. It is a third-party data tracking agency that uses various external signals (application data, payment panels, recruitment, channel caliber, etc.) to estimate the revenue of an unlisted company. The line in the picture is written very honestly: “tracked allocation” -- the percentage of allocations that have been tracked. Let's be clear: Anthropic has never publicly disclosed Claude Code's individual ARR numbers, not once. Every point on this curve has been estimated by an outsider. For example, this is like someone using “long queues at the entrance of a restaurant every day” to estimate its turnover and then draw a beautiful weekly curve. The length of the team does correlate with turnover, but in the middle there is turnover rate, customer unit price, takeout ratio, private room business — you see that the team is three short weeks, and the kitchen is probably being renovated in those three weeks. What is more important is the caliber itself. ARR's algorithm is “revenue for the most recent period times 12.” Enterprise software contracts are not executed evenly every day; they are signed batch by batch. Big orders signed at the end of a quarter will jump a week's curve by a large margin; if the next quarter's big orders aren't signed, the curve will go sideways. Weekly ARR tracking is extremely insensitive to this kind of blocky landing—it will paint the “pace of signing” as a “change in demand.” In a nutshell, what you have in your hand is an unofficial weekly map estimated by an outsider, with a very blunt caliber. Judging by the weight of the “bubble” under it is tantamount to using body temperature to measure blood pressure. 02 I hit myself in the face on this picture. I haven't seen anyone mention it, but it's the most interesting part of the whole thing. The picture shows two numbers: Claude Code is $15.12 billion, or 21.9% of Anthropic's total ARR. By dividing: calculate 15.12 billion ÷ 21.9% = about $69 billion. This is Anthropic's total ARR for the week ending August 10, implied by this image. The official caliber figures reported by Bloomberg, Reuters, and CNBC on August 17 were — $65 billion at the end of July. Clear: This chart, which is being used to prove “slowing growth,” its own implied total number of companies is 4 billion US dollars higher than the official figure ten days ago. Further 10 days until today, if the trend continues, more than 70 billion is a reasonable estimate (this sentence is an inference, not data). In one sentence, people who retweeted only read the number 151.2 and the height of the column, skipping the 21.9% next to it. And that 21.9% said: This company went a step further when everyone shouted “it's slowing down.” I only believe in the two numbers on the same picture that is beneficial to my opinion; this is not called analysis. 03 You are looking at the picture below. The money in the picture above has the upper and lower two pieces. Above is the absolute amount (how many billion dollars), and below is the percentage change (how much more than a percent increase from four weeks ago). The vast majority of people's reasoning is: below...

1d agoWendy#Anthropic #ARR #IPOs #MiniMax

AI-concept stocks had mixed ups and downs before the US market, and AVGO rose 1.01%

Comparative news, according to MSX.COM data, pre-market AI concept stocks had mixed ups and downs. MRVL fell 0.54%, AMD rose 0.29%, GOOGL fell 0.36%, MU rose 0.89%, and AVGO rose 1.01%. According to reports, MSX.COM is a decentralized RWA trading platform. It has launched hundreds of RWA tokens, covering AAPL, AMZN, GOOGL, META, MSFT, NFLX, NVDA and other US stocks and ETF tokens.

2d ago

US stocks closed, AI concept stocks generally rose, and Tempus AI rose more than 24.09%

Comparative news, according to MSX.COM data, the US stock market closed up 0.22%, the S&P 500 closed up 0.21%, the NASDAQ closed up 0.16%, and the VIX Panic Index closed down 6%. AI concept stocks generally rose, with Tempus AI up 24.09%, Marvell 9.85%, EPAM 7.1%, Atlassian 6.89%, and ServiceNow up 6.45%. According to reports, MSX is a leading RWA trading platform. It has launched hundreds of RWA tokens, covering popular US stocks and ETF tokens such as Nvidia, GOOGL, MSFT, AMZN, META, TSM, and AMD.

2d ago

Details of the White House AI model testing have been slow to be released, and OpenAI and Anthropic are still awaiting regulatory rules

Comparing news, although the White House introduced a new artificial intelligence regulatory framework to AI companies such as OpenAI, Anthropic, and Google at the beginning of this month, more than two weeks later, the AI industry still lacks understanding of the details of the plan, and the White House has yet to disclose the details of the relevant framework. According to reports, the plan aims to establish a**voluntary advanced AI model testing mechanism** to encourage AI laboratories to actively share models with the government and undergo safety assessments before releasing the most advanced models to the public. Companies such as OpenAI, Anthropic, and Google have previously participated in related discussions. Currently, the industry's core concerns include testing standards, the scope of applicable models, the extent to which the government obtains information, and how enterprises participate. Since the framework has yet to be officially disclosed, many AI companies and researchers are still uncertain whether they will need to submit model weights, test data, or safety assessment reports in the future. According to the report, the background of the US government's promotion of the plan is that with the rapid improvement of cutting-edge AI model capabilities, the model's potential risks in the fields of cybersecurity, biological risk, and autonomous decision-making have attracted regulatory attention. Some industry insiders believe that the establishment of safety testing cooperation mechanisms between the government and AI companies will help identify high-risk capabilities in advance; however, there are also concerns that a lack of transparent regulatory frameworks may lead to unclear industry standards and affect the pace of innovation. Currently, the White House has not released the full text of the AI model testing framework, and relevant companies are still awaiting more policy details. (The Information)

3d ago

AI concept stocks generally fell before the US market, and MRVL fell 2.18%

Comparative news, according to MSX.COM data, US stocks generally fell pre-market AI concept stocks. MRVL fell 2.18%, AMD fell 1.07%, GOOGL fell 0.45%, and MU fell 1.00%. According to reports, MSX.COM is a decentralized RWA trading platform. It has launched hundreds of RWA tokens, covering AAPL, AMZN, GOOGL, META, MSFT, NFLX, NVDA and other US stocks and ETF tokens.

3d ago