OpenAI Denies Misappropriating Mathematician’s Unpublished Research: Codex Draft Did Not Impact Navier-Stokes Proof

According to TradingBeats' monitoring, over the past hour, xm39 added approximately 660.61 new Nasdaq (XYZ100) contract short positions, with a nominal transaction value of around $19.3418 million. Adding transactions from this morning, today’s total new Nasdaq short positions amount to roughly $21.3452 million. Current XYZ100 short position size stands at approximately $31.7018 million, with an average price of 29,245.2, resulting in an unrealized loss of about $31,200; it also holds crude oil short positions worth roughly $41.1461 million. On Polymarket, xm39 invested an additional approximately $1,949 today, adding around 13,000 "U.S. invades Iran before 2027" Yes contracts, bringing its total position to 857,800 contracts. The average cost corresponds to an implied probability of 18.47%, while the current implied probability is 15.5%. The position is valued at roughly $133,000, with an unrealized loss of about $25,500. Previous report: "Deconstructing" oil tycoon xm39’s position adjustment: Why did the $40 million position face sudden changes ahead of the CPI release?

SlowMist tweeted that ether.fi suffered an attack, resulting in losses of approximately 15.45 ETH. According to analysis, the root cause lies in the lack of access control for the `solver` parameter passed by the caller in the `solve()` function of the AtomicQueue contract—there is no check for `solver == msg.sender`, nor any signature, registration, or authorization verification. The attacker first constructed a malicious AtomicRequest via the `updateAtomicRequest()` function, then forced a victim address to act as the solver. The AtomicQueue contract subsequently called `finishSolve` on the victim address, executing `want.transferFrom(solver, users[i], assetsToUser)`, and exploited the ERC-20 approval the victim had previously granted to steal funds.

Insight Beating AI News Flash: Y Combinator (YC)-incubated AI data firm Specific Labs has launched Real-SWE, a coding evaluation benchmark that tests coding agents on real private code from actual enterprises. The tasks are sourced directly from production environments, including tax calculation, bill migration, API billing, and customer data migration. Neither the code nor answers are publicly available, so agents must independently master the company’s business rules and code structure. Results show Fable 5.1 ranked first with a 38.8% pass rate; GPT-6 Astra followed at 33.8%, Gemini 3.8 Flash at 31.2%. GLM 5.3 took fourth place with 28.8%, outperforming Grok 4.6, Kimi K3, and GPT-5.6 Sol. Of the 10 currently public tasks, 6 have an overall pass rate below 15%, and one task saw all models fail. The standout performer was GLM 5.3. Real-SWE assesses agents’ ability to continuously read code, identify rules, and complete multi-step modifications in unfamiliar projects. Zhipu AI researcher Xiaopu Peng noted that his team has been training long-range tasks since GLM-5.1, and Real-SWE is more aligned with such capabilities than public SWE benchmarks, which partly explains GLM 5.3’s strong performance here.

Tonight, the market will get the last key macroeconomic indicator ahead of the Federal Reserve’s interest rate decision: the CPI data. Markets view this as the most critical signal for the Fed’s policy announcement. Prior to that, Bitmine Chairman Tom Lee has reaffirmed his bullish outlook for September. In early September, Lee told CNBC that he was optimistic about U.S. stock market performance in the month. He argued that as employment data, CPI, and the Fed’s interest rate decision are released sequentially, market concerns over inflation may ease. While investors remain cautious now, this has formed a classic "wall of worry"—a historical pattern that often marks a buying opportunity.

According to Houthi sources in Yemen, Saudi warplanes launched at least two airstrikes on Yemen’s Muhah Airport on the 11th local time. As of press time, Saudi Arabia has not responded. (CCTV News)

According to TradingBeats' monitoring, Hyperliquid's protocol revenue over the past 30 days reached approximately $59.84 million, an 83.3% increase from the prior 30-day period. However, revenue over the most recent seven days dropped to roughly $11.57 million, a 12.7% week-over-week decline, marking notable expansion in monthly revenue though a recent cooling in activity. Meanwhile, between August 12 and September 11, the Assistance Fund’s cumulative burned HYPE tokens rose to 47.123 million, with around 775,400 new HYPE burned over the past 30 days, valued at approximately $62.08 million. Per the official mechanism, the Assistance Fund automatically converts trading fees allocated to it into HYPE, and the HYPE held in the fund is permanently removed from circulation and the total token supply.