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first_img The U.S. Department of Defense has been reported to request OpenAI to provide a special version of AI with the "lowest rejection rate" for military commands

Documents obtained by The Intercept through a lawsuit under the Freedom of Information Act show that the U.S. Department of Defense once requested OpenAI to provide a version of artificial intelligence specifically tailored for the military, with a "very low refusal rate" for commands. This statement appeared in the updated contract for the 2025 prototype agreement "P00003," which is a two-year agreement worth up to $200 million, covering logistics, intelligence decision-making, and operational uses. OpenAI, Google, xAI, and Anthropic all agreed to develop such militarized prototypes in 2025.OpenAI spokesperson Nate Evans stated that the company never agreed to contract terms that included a "very low refusal rate," and the relevant documents were early drafts from the Department of Defense, with the final executed contract not containing that statement. Department of Defense spokesperson Jacob Bliss also indicated that the phrase did not appear in any current contracts. The Intercept pointed out that the documents obtained were not marked as drafts; a Department of Justice lawyer representing the Pentagon once confirmed that the document was a signed executed version, but later requested to disregard that confirmation and stated that further investigation was needed.The latest contract signed on February 27 allows OpenAI services to be deployed on military classified networks, with similar delivery terms completely redacted. OpenAI stated that it has drawn a red line regarding autonomous killing and surveillance of Americans, but the contract text allows the government to determine any use as legal.

WEEX Labs: GME's performance exceeded expectations but the stock price still fell, AVAV announced its financial report after hours

On September 9, WEEX TradFi market data showed that GameStop (GME) stock price slightly decreased by 1.41%, closing at $18.89. Its latest disclosed Q2 financial report shows an adjusted EPS of $0.27, revenue of $790.2 million, a year-on-year increase of 57% in collectibles sales, and an operating profit of $160.2 million, a record high. The adjusted EBITDA for the fiscal year 2026 has been raised to over $650 million. WEEX Labs believes that the weak GME stock price is due to twofold pressure: first, the overall core revenue is still showing a severe double-digit decline compared to the same period last year, and the traditional retail to digital transformation has not achieved a fundamental breakthrough; second, market expectations regarding equity swaps and potential follow-up fundraising have squeezed bullish sentiment.In addition, AeroVironment (AVAV) will announce its FY27Q1 financial report after the market closes today, with market expectations for EPS around $0.22 and revenue around $468 million. Its stock price volatility will depend on the ramp-up of drone order capacity, gross margin performance, and the fulfillment of warehouse delivery guidance. Trade stocks and gold with WEEX TradFi, and you can also open daily eggs, with a 100% chance of winning, to win up to 10,000 USDT in position airdrops.

Douyin internal testing AI workshop, the recommendation page adds interest card display for AI applications

Douyin is currently conducting an internal test of the AI Workshop, aimed at ordinary creators and developers, providing a complete link from AI application building, debugging, and operation to platform distribution, deeply integrating with Douyin's internal traffic system. The AI development framework, interface capabilities, and cloud storage services are all built into the creator's backend.The Douyin App's recommendation page has added a new content form interest card, used to showcase AI applications created in the AI Workshop. Users can directly interact with these cards while browsing the recommendation page, without needing to switch to a mini-program or leave the main app, allowing them to complete Q&A queries, fun interactions, and light tool experiences within the information flow. The interest card relies on Douyin's personalized recommendation distribution, supporting custom gameplay and styles.Creators who do not understand coding can use natural language to describe their ideas for building, while technically skilled developers can modify underlying files for deep customization. Debugging, real-device preview, and publishing can all be completed in the same environment. The produced works can be directly converted into interest cards for placement in the recommendation stream. This product is currently in the invitation-only internal testing phase.

first_img Scroll plans to transform into an AI dedicated network, SCR will migrate to the Ethereum mainnet

Scroll Governance Forum posted that the team will recently apply AI extensively in operations and product development. Previously, core chain operations required over 20 engineers, but now it is completed by fewer dedicated engineers in conjunction with AI agents, while maintaining existing usability and security standards. The team believes that blockchain can provide a trusted coordination layer to define and execute rules, and ZK can help agents interact with credentials, private data, and computations without exposing underlying information.The team is building an interconnected product stack: Compass is an iOS application that can access the large models and functions provided by the Compass API, and includes VPN and eSIM; Compass API is the AI routing infrastructure, connecting over 30 large models; CENO provides a trust layer through ZK, protecting credentials, agent context, and privacy computations; USX is used for payments and settlements; SCR continues to coordinate governance; the Scroll network serves as a trust and coordination layer. CENO has reached out to over 30 potential clients, of which 12 are participating in proof of concept testing.The team plans to gradually transform Scroll from a general public chain into a dedicated network centered around Compass and the AI product stack, with an overall transition expected to take about nine months. According to the current plan, SCR will migrate to the Ethereum mainnet to maintain accessibility and liquidity, with supply and token economics remaining unchanged, and will continue to serve as a governance token. This post is only a progress update, not an official proposal or vote, and further proposals regarding the network transformation and matters requiring DAO approval will be made separately.
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