Claude · 646

Muse Spark 1.2 cabbage price version rolled out: OpenCode is directly free for a limited time

Compared to Twitter News, AI Alerts, Meta's Muse Spark 1.2 Contributor version is rapidly being rolled out to third-party platforms. After OpenRouter was recently installed, the price was consistent with Meta's official one: $0.10 per million tokens were input, $0.20 was output, and the cache input was only $0.002. Regular Muse Spark 1.2 costs $1.25, 4.25, and $0.15, respectively. The Contributor version is not a low-end model. It uses the same models and capabilities, at the cost that the user's input and output can be used by Meta to train and improve the product. Based on the output price, it is about 95% cheaper than the regular version. There are quite a few places where you can use it now. OpenCode Zen even made Contributor a limited-time free model. Command Code has also been added, and even the lowest Go plans can be used. Vercel AI Gateway and nanoGPT also provide APIs, where Vercel can also directly access tools such as Claude Code, Codex, Hermes, OpenCode, and OpenClaw. Artificial Analysis's latest Intelligence Index for Muse Spark 1.2 xhigh is 57. It is true that this price is already ridiculously low, but the community's actual testing and evaluation are very divided. Some people use it as a cheap replacement for DeepSeek V4 Flash, while others report that long tasks and tool calls are still not reliable enough. It is suitable for open code and low-cost experiments, while private code must first consider whether the data is willing to be handed over to Meta.

1m ago

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.

7h ago

Anthropic Stuffs Mythos 5 Into Claude Security: Businesses Can Use It, But Can't Get the Model

Twitter News, AI Alerts, and Anthropic upgraded Claude Security's underlying scanning model to Claude Mythos 5 and open beta for all Claude Enterprise customers. Once the enterprise connects to the GitHub repository, Mythos 5 scans the code for vulnerabilities and returns the CWE classification, confidence level, severity level, and recommendations for fixes. Claude Security is already online. It was still using Claude Opus 4.7 when it opened beta in late April. The biggest change this time is the addition of Mythos 5, which previously had strict access restrictions, into existing security products. Mythos 5 not only finds bugs, but also turns them into workable attacks, so it has always been open only to audited agencies. Businesses still can't directly use Mythos 5. The model only runs in the background of the scan, and users get bug reports and suggestions for fixes. Subsequent code changes are made in Claude Code, and the company's existing model is still used, and the patch must be manually approved. Scans will calculate tokens according to the existing plan, and there is no need to purchase Mythos 5 separately. Anthropic is also preparing to integrate Mythos 5 into partner security products and launch a $35 million Claude Defender Advantage Fund to help open source projects find and fix bugs.

19h ago

The Xiaomi MiMO-v3-Pro score is suspected to have been leaked, and the SW-Bench Pro reached 72.8 or close to the top overseas closed source model

According to Twitter news, Max For AI published an article that revealed that a Benchmark screenshot suspected to be Xiaomi's next big model, MiMO-v3-Pro, was circulating in the community. The screenshot shows that the model focuses on coding agents and general agent scenarios, and some test results are close to top overseas models such as Claude Opus and GPT. According to the suspected screenshot, MIMO-v3-Pro scored 72.8 points on the SW-Bench Pro, which is higher than the 67.9 points of GLM 5.3 and the 65.8 points of Kimi K3, which is less than 3 points different from Claude Opus 5's 74.6 and GPT-5.6 Sol Max's 75.4 points; Terminal-Bench 2.0 scored 70.6 points, which is also close to Claude Opus 5's 72.0 points and 73.5 points for GPT-5.6 Sol Max. Furthermore, it scored 76.4 points on the bt3-bench compared to the GPT-5.6 Sol Max with 78.8 points. If the above results are finally officially confirmed and replicated in the official version, the MIMO-v3-Pro may enter the first tier of the world's top models. However, at present, the authenticity and testing conditions of this Benchmark screenshot have not been officially confirmed by Xiaomi, and the relevant data should still be regarded as unconfirmed breaking news. It is worth noting that the latest MiMO flagships officially unveiled by Xiaomi are MiMO-v2-Pro and MiMO-v2.5-Pro, so whether V3-Pro exists and when it will be released is yet to be further disclosed by the official authorities.

1d ago

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...

2d agoWendy#Anthropic #ARR #IPOs #MiniMax

Anthropic AI Joint Venture Ode Acquires AI Consulting Company to Accelerate Claude's Launch

According to news, Ode, a corporate AI service company co-founded by Anthropic and Wall Street investment institutions, announced that it has completed its first acquisition since its establishment and will acquire AI consulting firm Casper Studios to promote the application of Anthropic's AI model Claude in the corporate market. Ode was founded in 2026 and is supported by Anthropic in collaboration with Blackstone, Hellman & Friedman, and other investment institutions, and is positioned as a service platform to help companies implement cutting-edge AI technology into actual business processes. The acquisition of Casper Studios aims to enhance Ode's ability to design and deploy AI applications for enterprise customers. As more companies explore generative AI applications, Ode hopes to help enterprises move from AI testing to large-scale application through professional consulting, engineering implementation, and customized solutions. (The Information)

2d ago

DeepSeek V4 Pro runs 5 sets of Harnesses: Pi has the highest success rate, DSH saves the most money

Comparative news, AI News, Agent Tool Company Composio put the same DeepSeek V4 Pro 0813 into Pi Agent, DeepSeek Harness 0.1, Claude Code, OpenCode, and Hermes Agent respectively, and unify them to the max level, running 30 multi-step Agent tasks. Pass rate: 1. Pi Agent: 21/302. DeepSeek Harness: 20/303 Claude Code: 19/304 OpenCode: 19/305. Hermes Agent: In the 18/3030 question, all 5 out of 15 were passed, and all 7 were broken. Only the Harness was replaced with the remaining 8 tracks, and the result was reversed. Speed ranking: 1. Claude Code: 181.8 seconds 2. DeepSeek Harness: 252.1 s 3. Hermes Agent: 273.6 seconds 4. OpenCode: 280.6 seconds 5. Pi Agent: 362.9 seconds Cost per success: 1. DeepSeek Harness: $0.028 2. Pi Agent: $0.031 3. OpenCode: $0.032 4. Hermes Agent: $0.037 5. Claude Code: $0.074 Pi has the highest pass rate, DeepSeek Official Harness saves the most money, and Claude Code is the fastest but most expensive. Composio previously used DeepSeek V4 Flash for similar tests, and Pi also had the highest pass rate at the time.

2d ago

OKX prohibits employees in Hong Kong and transit through China from using Claude

According to Bloomberg, crypto exchange OKX has banned employees based in Hong Kong or passing through China from using Anthropic's Claude AI model. Previously, OKX's business account was temporarily suspended. The restrictions are intended to respond to Anthropic's adjustments to the relevant regional usage policies. OKX requires affected employees to switch to other AI tools to ensure compliant operations.

2d ago

OpenAI strengthens AI security measures against Anthropic competition, which continues to lead in revenue growth

Comparatively, at a time when AI competition between OpenAI and Anthropic is intensifying, OpenAI is trying to close the gap with rival Anthropic by improving security standards and adjusting product strategies. OpenAI recently announced that it will “temporarily slow down model expansion” and invest more resources to strengthen AI security protection measures. Earlier, during testing, OpenAI discovered abnormal behavior in its AI system, which drew the company's further attention to model security, cyber attack risk, and autonomous capability control. The security policy adjustments are also thought to be part of OpenAI's response to Anthropic's rapid rise. In the past, Anthropic achieved rapid growth with the Claude family of models, particularly in the field of enterprise applications and AI programming, and its revenue growth rate surpassed OpenAI. According to market data, Anthropic's recent annualized revenue scale has increased rapidly and is leading OpenAI in some indicators. (The Information)

3d ago

Warp connects Claude Code and Codex to an automated assembly line

Comparative News, AI News, and Warp, an AI terminal tool, launched Warp, which can connect coding agents such as Claude Code, Codex, and Warp Agent to work automatically. Set up the process first. After a bug comes in, the agent can then check the problem, change the code, run tests, and finally submit a PR. Now that there are more and more coding agents, how to divide tasks, check results, and control costs is more troublesome. Addressing is about putting these things in one place and dealing with them uniformly. There have been more and more similar products recently. Spotify's Xirp can manage multiple coding agents simultaneously, and Databricks Omnigent also manages permissions, costs, and operating environments. Warp Investigations puts more emphasis on automating the entire development process. Essentially, everyone is now stealing not only whose coding agents are better, but also who will manage these agents. The latter might even be more important.

3d ago