Agentic · 1397

Arthur Hayes Reminder: FLOP has not been released yet, and there are no presales or meme coins

BitMEX co-founder Arthur Hayes wrote a reminder that Flop Labs has not yet issued FLOP tokens, and there are no pre-sales or meme coins. Hayes stated that FLOP is not officially launched yet, and reminded the community not to mistake related tokens appearing on the market for official assets. He said Flop Labs is expected to launch an airdrop in the next few months and plans to launch the mainnet next year. According to previous public information, the project had previously planned a large-scale airdrop in the fourth quarter of 2026, and the target time for the main network Genesis block is the first quarter of 2027. Hayes previously announced that he will be leading Flop Labs, a project aimed at building economic infrastructure for AI agents, and FLOP will be designed as a native asset for AI agents to pay for resources such as computing power and storage.

10h ago

Tencent's chip leader Gao Jianlin left his job and started a business to target the RISC-V high-performance AI CPU circuit

According to MaxForAI, according to MaxForAI, the core head of Tencent's chip research and development, has recently left Tencent and started a business. He plans to develop high-performance CPUs based on the RISC-V architecture around high-performance AI servers and agentic AI (intelligent AI). Gao Jianlin is regarded as one of the early core promoters of Tencent's self-developed chip system. According to data, he formed an FPGA hardware team within Tencent in 2013, began setting up AI chip research and development in 2018, established the Penglai Laboratory in 2020, and promoted Tencent's development of various AI chips and data center deployment. This startup focuses on CPUs rather than the currently competitive AI GPU market. According to the report, Gao Jianlin believes that with the rapid development of Agentic AI, the AI inference process will involve model call, tool execution, search, database interaction, and large-scale task scheduling, and the CPU will assume a more important scheduling and control role in the AI system. According to reports, Gao Jianlin was involved in RISC-V related research and development during his time at Tencent, and participated in various technical directions such as chip architecture, verification, and back-end. Its new company plans to build high-performance server CPUs based on the open instruction set RISC-V to enter the AI infrastructure market. Currently, the name of Gao Jianlin's new company, financing conditions, and specific product launch dates have not been disclosed. The market is concerned about whether it will become another emerging force in the field of AI chips in China targeting server CPUs and smart body infrastructure.

12h 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.

12h ago

Smart Spectrum gave away another 100 million tokens: 50,000 copies were prepared this time, but it was crowded out in the last round

Comparative News, AI News, and Smart Spectrum also issued GLM-5.3 free credits to new ZCode users. From 0:00 a.m. on August 22 to 9:00 p.m. on August 24, Beijing time, new users who log in to zCode for the first time can automatically receive 100 million tokens, a total of 50,000, on a first-come, first-served basis. The credit can only be used within zCode, and if it is not used up after the event ends, it will immediately expire. This is already the second round of the same event. After the previous round started on August 16, zCode soon suspended the continued issuance of 100 million tokens due to demand exceeding service capacity. The event started again a few days later. This time, the official directly stated the quota for 50,000 copies. 100 million is watching a lot, but Agent programming is also good at eating tokens. If you run heavy and long tasks, you can run out of 100 million tokens in a few hours. The GLM-5.3 API has also been opened, but this wave of free credits is still exclusive to zCode and cannot be used as a regular API balance.

14h ago

Xiaomi MiMo series models officially arrive at B.AI API

Comparatively, the B.AI platform announced that Xiaomi's self-developed MiMo series models have officially launched an API service, opening the first batch of MiMO-v2.5 and MiMO-v2.5-Pro models. Among them, MiMO-v2.5 is a 310B sparse MoE native full-modal model, supporting full-mode graphic audio and video input and 1M ultra-long context, designed for multi-modal agents and general programming scenarios; MiMO-v2.5-Pro reached 1.02T sparse MoE parameter scale, positioning the flagship text model, focusing on complex reasoning and long-term software engineering, and the Swe-Bench Verified benchmark achieved a high score of 78.9. From now on, developers can call the two models through the B.AI API, which supports both official group access and optional service provider modes, and enjoy discounts of up to 40%.

1d ago

The DeepSeek visual model's multi-modal Agent ability is close to Opus 4.8, 4 items are 2:2

In comparison, DeepSeek announced the first batch of V4-Flash-Vision-Exp agent scores. There were 2 wins and 2 losses against Opus 4.8 in 4 multi-modal Agent reviews: Aggregation Last Exam 27.3 versus 25.7, ZeroBench 35.0 versus 34.0; ApexBench 36.5 versus 39.4; and Chartography 64.3 versus 65.0. Compared to the plain text version of V4-Flash-0731, the visual version increased from 26.2 to 36.5 in ApexBench and from 25.2 to 27.3 for Aggregated Last Exam. The official statement indicates that the plain text version will ignore multi-modal content, so it mainly reflects the ability to supplement visual input. Coupled with the fact that the ability of the post-visual text agent was not significantly reduced, 6 of the 7 text reviews were superior to V4-Flash-0731. For example, DeepSWE upgraded from 54.4 to 59.3 (58.0 over Opus 4.8), and Toolathlon 75.9 almost tied with 76.2 of Opus 4.8. The results are from DeepSeek's official self-test, not a third-party independent list; the public Code Agent text task uses the DeepSeek Harness minimal mode, and the inference level is max.

1d 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

Fortune Protocol announced the completion of multiple rounds of financing, with a cumulative financing amount exceeding US$4 million

Comparing news, AI+ forecasting market project Protocol officially disclosed the latest financing information. The project has previously completed multiple rounds of financing, including the Seed round and Pre-A round, with a cumulative financing amount exceeding US$4 million. According to reports, participating institutions include K24 Ventures, CGV FoF, MH Ventures, Mapleblock Capital, etc. Protocol said that this round of funding will mainly be used to promote the technological upgrading of AI agents, the integration and expansion of predicting market liquidity, and ecosystem construction. As TGE approaches, Protocol is committed to building an intelligent infrastructure for the next-generation forecasting market and driving the industry towards a more intelligent, efficient, and open direction.

1d ago#financing

AllScale launches CLI tool, AI agents can complete stablecoin payments with one click

According to the official X account of the self-hosted stablecoin digital bank AllScale, the platform launched the AllScale CLI command line tool, which can complete stablecoin receipt, payment, and account checks on the terminal once installed. On the payee side, a detailed invoice can be sent to any valid email address with a single command. USDT or USDC is supported, and the payee does not need to register or establish a cooperative relationship in advance. On the payment side, users only need to approve the spending limit once, including the single transaction limit, total budget, and expiration date. The script can then run unattended. Each payment will create and fund a Claim Link, and the payee does not need to provide a wallet address; the process is exponential, and tasks that fail midway will not be refunded. Each command prints JSON to the standard output and returns 13 documented exit codes. The script or AI agent can automatically branch the results based on this without a screenshot check page. AllScale says that the CLI can be used in any environment where a shell can run, and is now live on npm, in a package called @allscale /cli.

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...

1d agoWendy#Anthropic #ARR #IPOs #MiniMax