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Flash

JPMorgan Chase CEO: The U.S. economy is still in a "good time," but is prepared for a 40% drop in the stock market

JPMorgan Chase CEO Jamie Dimon stated in an exclusive interview with The Wall Street Journal that the current state of the U.S. economy is strong, with significant growth in corporate profits, a low unemployment rate, and overall low leverage for businesses and consumers. He described this as a good time. Dimon also pointed out that several potential risks are accumulating beneath the surface, including persistent inflation that has lasted for five years, large fiscal deficits, and geopolitical uncertainties such as overseas wars.He emphasized that predicting the specific timing and triggers of an economic downturn is extremely difficult, as the eventual recession is often caused by a combination of factors that cannot be accurately assessed at present. When discussing how banks should respond, Dimon stated that JPMorgan Chase conducts extremely in-depth analyses of various risks to ensure that the bank can withstand shocks whether interest rates rise or fall, and whether inflation or stagflation occurs, while continuing to serve clients during difficult times. He mentioned that the bank is prepared for extreme scenarios such as a 40% drop in the stock market and a two to three times widening of bond credit spreads, rather than trying to guess when these scenarios will happen. The core principle is to be well-prepared to continuously support businesses and communities in various environments.

Gate Gold Dog launches dual activities: Trade Robinhood chain tokens to draw mystery boxes, SOL chain trading competition unlocks up to 50,000 USDT airdrop

According to the official announcement, Gate Doge (Trenches) will hold the 67th Hot Coin Competition from October 19, 16:00 to October 22, 16:00 (UTC+8). After registering, users can trade all Robinhood chain tokens in the Doge area to earn chances for a blind box lottery based on their cumulative trading volume, sharing a total airdrop reward of 30,000 USDT.Users who did not register with an invitation code can earn 1 regular blind box lottery chance for every cumulative trade of 200 USDT, while users who registered with an invitation code can earn 1 premium blind box lottery chance for every cumulative trade of 500 USDT. Both types of users can earn a maximum of 12 lottery chances during the event, with a winning rate of 100%.At the same time, the Gate Doge SOL chain peak trading competition will be held from October 19, 18:00 to November 2, 16:00 (UTC+8). Users who register and trade SOL chain tokens in the Doge area can unlock an airdrop prize pool worth up to 50,000 USDT. Once the effective cumulative trading volume of all registered users reaches a certain threshold, the corresponding tier prize pool will be unlocked, based on the highest tier reached at the end of the event.In addition, users with an effective cumulative trading volume of 40,000 USDT can participate in the trading ranking, with the top 100 qualifying users receiving rewards, and the champion can win an airdrop worth up to 10,000 USDT.

Google open-sourced Harness², GLM-5 score improved by 11.5 points

Google Research's open-source AI toolchain self-improvement framework Harness² allows AI Agents to automatically modify system prompts, memories, skills, tool rules, as well as scripts and plugins without retraining the model. The project is licensed under the Apache 2.0 license and supports OpenCode and Codex. Its core mechanism enables the Agent to learn through trial and error, proposing several improvement plans when encountering new tasks, which are then executed and compared by different versions of the Agent, ultimately combining to form a more suitable solution.Even without a standard answer, the system can seek improvement directions based on the actual execution process. After the task is completed, the system remembers which modifications were effective and the reasons for them, for reference in similar future problems. Google tested using GLM-5 and Gemini 3.5 Flash. On WorkBuddy-Bench, GLM-5 paired with OpenCode improved its average score from 64.2 to 75.7 after just one round of optimization, surpassing the unoptimized Gemini 3.5 Flash's score of 72.4.In legal task testing, the pass rate for GLM-5's partial scoring criteria increased from 59.6% to 71.4%. In the experiment, Claude Opus 4.8 was defaulted to propose and implement improvements, while GLM-5 and Gemini were primarily responsible for executing tasks, not relying entirely on their own evolution. Domestic developer Joseph Zhou demonstrated an experiment where Harness² integrated with Jev 1.14, claiming that the performance on visual tasks continuously improved.

Bybit CEO: By the end of last year, the stolen losses have been compensated, and the golden period of global expansion has passed

Bybit CEO Ben Zhou recently stated in an interview with Wu Shuo that Bybit has covered the losses caused by previous attacks from North Korean hackers through operational income such as transaction fees by the end of last year. He believes that there will still be trading platforms that encounter hacker attacks in the future, and the security system should be designed with the premise of "assuming it will definitely be hacked."Regarding competition, Ben Zhou believes that the golden period for the expansion of global trading platforms has passed, and the industry will further consolidate. Regional trading platforms with licenses and local operational capabilities still have opportunities. He revealed that Bybit's profits have declined year-on-year this year, and traditional asset trading businesses such as stocks are currently not enough to offset the impact brought by the cryptocurrency business.In terms of the U.S. market, he stated that Bybit is still waiting for the right opportunity to enter and is more inclined to cooperate with local institutions that have a retail user base. The core strategy for the next year will focus on regional development and deep localization. He also discussed the differences between the Bitget security incident and the Bybit theft incident, as well as the data security challenges brought by the large-scale application of AI within the platform.
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