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first_img Zhipu Tangjie filed a defamation complaint against Xiaohongshu, ZCode has been open-sourced for rectification

On September 21, netizen "Zhang Kangkang kk" revealed on social media that Tang Jie, the founder of Zhipu and a professor at Tsinghua University, filed a complaint on Xiaohongshu regarding a user post. The complaint stated that the post used phrases like "code is pretty much the same as copy, both start with c and steal code" without factual basis, fabricating rumors that Zhipu's ZCode was involved in code theft and plagiarism. It also used terms like "Uncle Tang Jie" to associate Tang Jie with the plagiarism rumors for character defamation, while utilizing AI technology to synthesize Tang Jie's image with anime materials in a defamatory context. The complainant believed the content constituted malicious defamation and commercial disparagement, damaging both Tang Jie's personal reputation and Zhipu AI's reputation, and requested the platform to take down the post and deal with the user who posted it.On the same day, Zhipu announced that it had completed rectifications regarding the safety issues of the independent desktop AI programming client ZCode in response to community feedback and apologized to all users. The company has open-sourced ZCode, handing over the code to community supervision, and will establish a regular product security vulnerability mechanism moving forward. Previously, developers discovered that ZCode had silently uploaded user local repository data without prior notice. On September 18, Zhipu publicly apologized and made an emergency fix, explaining that the root cause was the "repository indexing" feature, which was enabled by default and had no option to turn it off. On September 20, Taiyuan Chengming Technology Co., Ltd. sent a letter to Zhipu, accusing ZCode of unauthorized uploading of company data assets and trade secrets, making claims for rights protection and reserving the right to pursue legal responsibility.

first_img Kalshi closely follows Coinbase in submitting an application for perpetual futures on U.S. stocks

The prediction market Kalshi has submitted proposed rule changes to the U.S. Securities and Exchange Commission and filed for approval with the CFTC to launch perpetual futures contracts anchored to individual U.S. stocks. This proposal echoes the application submitted by Coinbase on the same day, as both companies aim to introduce popular perpetual futures products from the crypto market into the traditional stock market.According to the proposal, the relevant contracts will not have a preset expiration date and will maintain price consistency with the underlying stocks through periodic funding payments between long and short positions. Kalshi stated that these contracts will be treated as securities futures products and will be cleared through its CFTC-registered clearinghouse, Kalshi Klear. Previously, Kalshi has offered perpetual futures anchored to Bitcoin, Ethereum, Solana, and XRP in the U.S., with its Bitcoin perpetual contract receiving CFTC approval in May of this year.The competition for U.S. stock individual perpetual futures is expanding. Kraken's parent company Payward has also submitted an application through its Bitnomial Exchange, planning to initially offer perpetual futures anchored to 10 U.S. stocks, including Tesla, Nvidia, Apple, Microsoft, and Amazon, and is committed to achieving trading five days a week, 24 hours a day. These applications were submitted after the CLARITY Act failed to advance in the Senate on September 15, with SEC Chairman Paul Atkins stating that regardless of legislation, the agency will act decisively within its existing statutory authority to provide regulatory certainty for investors and entrepreneurs.

DeepQA launches Arc Campaign: 11 Agent QAs for Arc ecosystem applications completed in 16 hours, powered by WORLD3 and Google Cloud Vertex AI

On September 16, the day Circle Arc's mainnet went live, the AI Agent quality assurance product DeepQA released the Arc Campaign, completing public QA for 11 ecological applications on the Arc testnet and publishing all 13 reports on the official website in a collection format. From the initiation of the project to the public release of reports for all 11 applications, it took about 16 hours.Real-time data from the official website shows that this event executed a total of 141 test scenarios, of which 117 passed, confirming 15 issues. The Critic Agent conducted real-time reviews 30 times, retaining 141 scenarios, 436 screenshots, approximately 2,200 model calls, and 16.9 million tokens. The covered applications include the Arc official testnet browser, Tower Exchange, AchSwap, Machina Bridge, OmniHub, ArcFX, SettleOne, Syn DAO, thirdweb Arc Testnet, ChainGPT Pad, and Karwan. All tests were conducted in real browsers on live applications, with the injected test wallets holding only testnet funds and no real funds used.The backend of DeepQA is powered by WORLD3 and Google Cloud Vertex AI. A group of AI Agents completed exploration, planning, testing, and reporting, with each issue accompanied by screenshot evidence, and only released after being audited and reviewed in real-time by the Critic Agent. The team stated that a decentralized QA network is also in progress, which will prioritize support for the Arc ecosystem.
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