goo

Anthropic, OpenAI, and Google are discussing the establishment of an AI industry standards organization. Anthropic CEO Dario Amodei has called for AI companies to coordinate on technical testing and audits. OpenAI founder Sam Altman expressed support for the establishment of testing and auditing organizations but believes that large AI labs should establish industry standards organizations on their own rather than relying on the U.S. government.

The U.S. Commodity Futures Trading Commission (CFTC) has previously secretly approved at least three insider trading investigations related to Polymarket trading, involving contracts related to Biden's pardons, the Iran war, and Google-related events. The relevant investigation documents were obtained by WIRED through the Freedom of Information Act.Among them, CFTC Chairman Michael Selig approved an investigation into contracts related to Biden's pardons in May, after a trader had profited over $300,000 in the relevant market; in the same month, the CFTC also approved an investigation into Iran war contracts, after a group of suspicious accounts was reported to have profited $2.4 million with a win rate of about 98%. In July, the CFTC further initiated an investigation into Google-related Polymarket contracts, focusing on individuals who may have traded using non-public information regarding Google's 2025 search rankings. The Southern District Attorney's Office in New York is also conducting a parallel investigation.It is currently unclear whether the aforementioned accounts are connected to previously investigated individuals. Polymarket stated that the company would refer the relevant matters to law enforcement and cooperate with the investigation. As the prediction market rapidly expands, U.S. regulators are clearly intensifying their scrutiny of insider trading and market manipulation.

U.S. Treasury Secretary Janet Yellen downplayed market concerns about the scale of Treasury bond repurchase operations being lower than expected, stating that the U.S. bond market is in very good condition. The two-year U.S. Treasury yield reached its highest level since 2024, while the ten-year yield rose to a 2023 high. The Treasury plans to repurchase up to $6 billion in bonds, but the actual repurchase was only $5.19 billion.

Bitcoin Magazine reported that White House advisor Patrick Witt stated that they have made progress on all concerns regarding the Clarity Act bill.Witt said, "Feeling pretty good about this."

Google (GOOG.O) announced the launch of the Google Cloud Developer Plugin, which is used for the artificial intelligence coding assistant.

Google announced that the Gemini application has now been launched on the Windows platform.

The founder of Liebit Mining Pool (B.TOP), Jiang Zhuoer, stated that after the release of the latest PPI data in the United States, the probability of the Federal Reserve raising interest rates has risen to 70%. It is expected that tomorrow's CPI data will not be favorable either, and preparations are being made to short.

According to the Finnish Broadcasting Company YLE, Google will invest at least 13 billion euros in Finland's artificial intelligence infrastructure in 2027-2028.

In response to netizens' claims on Threads that Google Taiwan's layoffs are at least 30% to 50%, with all senior executives being let go, Google Taiwan officially denied that the rumors are exaggerated. The official statement indicated that to make operations more efficient, reduce organizational levels, and prepare for the company's long-term development, the team has been continuously making adjustments to its workforce. As resources focus on core objectives and significant future opportunities, related adjustments will continue.Google has established its largest hardware R&D base outside the United States in Banqiao, New Taipei City. The official job vacancy website shows that there are 49 positions open in Banqiao and 32 positions in Taipei City. Recently, the AI infrastructure R&D center located in the Shilin District of Taipei City has expanded, with office space set to increase by 60%.

According to CoinDesk, a 22-year-old man from Singapore will plead guilty in one of the largest cryptocurrency thefts in the United States.The scammer posed as customer service representatives from Google and Gemini, tricking an investor into handing over Bitcoin worth $240 million.

According to Decrypt, Google has fixed a high-severity vulnerability CVE-2026-85046 in the Chrome browser that was exploited by hackers. This vulnerability exists in the V8 engine, which is used to run JavaScript and WebAssembly.Google confirmed that the vulnerability has been exploited in the wild but did not disclose the identity of the attackers, the targets, or the specific method of exploitation. The patch has been included in Chrome versions 152.7977.82/83 and will be pushed out in the coming days or weeks.The vulnerability was reported by security researcher Salvatore Gulizia on August 4, and Google awarded him a $1,000 bug bounty. This update includes a total of 12 security fixes, of which 9 are high-severity and 2 are medium-severity. Google has not yet linked this vulnerability to cryptocurrency asset theft incidents, but browser wallets, exchange accounts, and trading extensions have previously been targeted in other ways.

Google's Senior Director of Supply Chain Infrastructure, Nikhil Cherian, revealed that to overcome memory bottlenecks, Google is developing software and hardware solutions and dismantling retired servers to recycle DDR4 components to establish an internal recycling supply chain. Google has designed special hardware adapters to connect the previous generation DDR4 to the new generation of AI servers while importing retired servers to remove their DDR4 modules for recycling.Cherian stated that the AI industry has rapidly shifted from being compute-constrained to memory-constrained, with high-performance memory accounting for about 75% of the bill of materials cost for a given AI server. A Goldman Sachs report indicated that memory prices will continue to rise in the third quarter, with personal computer DRAM prices expected to increase by 18% to 23% and server DRAM prices expected to rise by 13% to 18%. Trendforce data shows that in August, the spot market prices for DDR4 8GB and DDR5 8GB rose to $142 and $133, respectively.The two TPU ASICs launched by Google this year have been optimized for memory design, claiming to reduce memory demand to one-sixth of the original. The TPU8i chip features a dedicated layered memory design that relies on a high-speed DDR5 memory architecture to perform host-level tasks, with each chip equipped with 288GB of HBM3e high-bandwidth memory.

B.AI Android App login experience has been upgraded again and now officially supports Google account login.Based on the existing multiple login methods, users only need to tap the Google icon to complete identity verification, without the need to enter cumbersome information, further enhancing the convenience and security of account binding.The addition of Google login makes B.AI's login ecosystem more open and diverse. Whether Web2 users or Web3 users, they can quickly enter the platform in the way they are most accustomed to, switch devices freely, and start an efficient and smooth AI exploration journey anytime and anywhere.

Google DeepMind has released the video understanding capabilities of the Gemini intelligent agent, which are now available for the Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite models. This feature enhances the efficiency and accuracy of long video analysis by dynamically searching, scanning, and inspecting video clips.Compared to traditional fixed frame rate processing methods, it can reduce token consumption by up to 88%, lower analysis costs by 66%, and improve accuracy by up to 7%. This feature is now available through the Gemini API in Google AI Studio and the Gemini Enterprise Agent Platform, and will be applied in the Gemini app and the YouTube "Ask YouTube" feature in the future.

The SEMICON Taiwan 2026 Memory Summit took place on the 1st, where Nikhil Cherian, Senior Director of Supply Chain Infrastructure at Google Cloud under Alphabet, pointed out that with the popularity of multimodal and mixed expert architectures, AI computation has shifted from being power-limited to memory-limited, with high-performance memory accounting for over 75% of the cost of AI server hardware bill of materials. In the face of capacity, bandwidth, and power consumption bottlenecks, Google is breaking through the AI memory bottleneck through a dual-track strategy of hardware offloading for inference and training, and lossless quantization software algorithms.Google adopts an offloading strategy in hardware architecture, launching TPU 8i for low-latency inference and TPU 8t specialized for large-scale training. The TPU 8i is equipped with 288 GB of high-bandwidth memory, with SRAM capacity on the chip increased threefold to 384 MiB, placing dynamic conversation states and key-value caches on the chip itself to achieve zero chip-off latency. The TPU 8t forms a super-large computing cluster with 9600 chips, achieving a shared pool of HBM at a scale of 2 PB, eliminating chip-off data transfer bottlenecks, along with TPU Direct Storage technology.Google has developed the training-free TurboQuant lossless quantization algorithm, compressing the key-value cache of large models from 32 bits to 3 bits, reducing memory usage by six times without loss of accuracy, resulting in an eightfold acceleration in attention computation, and integrating old-generation DRAM technology to extend the lifecycle of components.

According to a report by Wall Street Journal reporter Erin Woo, citing employee sources, Google's artificial intelligence research department will release the Gemini 3.8 Flash new model, which has significantly enhanced coding capabilities. This model is internally codenamed "Skimaki" and may go live as early as Wednesday (September 2). In comparative testing with Google's internal coding tool Jetski, company engineers showed a preference for this new model over Anthropic's Opus.

According to security company Huntress, hackers are spreading theft malware to cryptocurrency users by forging Google Docs files, hosting malicious files on GitHub, and impersonating Claude.ai pages. Attackers disguise themselves as senior employees of CoinDesk on the social platform X, luring victims to open Google Docs documents containing malicious code under the pretext of inviting them to an online meeting, thereby guiding users to install the malicious program themselves.Mac users face the threat of Atomic macOS Stealer (AMOS), which can steal browser passwords, cryptocurrency wallet data, and Telegram files; Windows users are pushed fake Google API Connector updates, which, once installed, implant NetSupport RAT and a counterfeit Ledger hardware wallet application. Additionally, hackers are placing false advertisements on search engines like Bing, enticing users to visit counterfeit Claude.ai pages and execute malicious commands. The related malware MacSync and SectopRAT can steal cookies, saved passwords, recovery phrases, and payment card information.Security company Socket also discovered 16 malicious extensions targeting Chrome and Edge, capable of emptying EVM, Solana, and Tron wallet assets.

According to a report by the Economic Daily, ASE Technology Holding benefited from the increased capacity of Google TPU, significantly adding advanced packaging and testing orders. Intel is accelerating the promotion of its EMIB advanced packaging platform while simultaneously expanding its outsourcing orders to ASE Technology Holding, with the previously raised testing quotes showing benefits. Google continues to increase its AI capital expenditures to expand data centers, using TPU to support the Gemini large model, AI agents, and Google Cloud services. The market estimates that Google TPU will enter a large-scale production phase by 2028, with shipments expected to reach 12 to 15 million units. ASE Technology Holding has mastered 2.5D, 3D advanced packaging, and high-end testing technologies, and Google is also expanding its use of TSMC's advanced processes and CoWoS capacity.Intel is racing to advance its EMIB packaging platform, with major cloud companies like Meta and Google successively adopting the EMIB and EMIB-T platforms. ASE Technology Holding, positioned as a pure testing and packaging foundry, can directly procure organic embedded silicon bridge substrates to undertake backend wafer-level assembly and high-end testing services. Wu Tianyu, the Chief Operating Officer of ASE Technology Holding, believes that Intel's EMIB and TSMC's CoWoS are not zero-sum competitors. As the testing time for AI chips lengthens, the costs of equipment, materials, and labor are rising, and high-end packaging and testing capacity is becoming increasingly tight. Major testing and packaging factories have gradually raised prices based on products, capacity, and customer conditions, with increases of about 5% to 10%.

Zhao Changpeng appeared on the podcast "Meanders" and discussed the pressures, adaptability, and lifelong motivation in the cryptocurrency field. When talking about pressure, Zhao Changpeng stated, "I generally do not set goals; I just do my best. This year the market is not good, so the company's performance may decline, but I have tried my best, I did not slack off, and I did not make any major mistakes. I handle problems in the same way.""No matter how difficult the problem is, I just try my best to deal with it. I also believe in simulation theory; I believe this world is simulated, so it’s like a game. It is simulated, but that does not mean this game is unimportant. However, in this game, I just need to do my best; you try your best to handle it, and after handling it, you can only wait, just lie back and win."Zhao Changpeng mentioned the industry, saying, "As for blockchain itself, I think the improvement in performance is still too slow. But because Bitcoin upgrades slowly, it is particularly stable, which is also an advantage. So there are advantages and disadvantages. Many of the ideas we had in the early days had many implementations, many that were not implemented, and many unexpected things happened."Regarding RWA, he said, "Even a year and a half ago, I would have doubted whether RWA could succeed, but now it is growing very fast. To be honest, I might have had some doubts about stablecoins five years ago, wondering how long they could last; at that time, I did not fully understand them. Stablecoins have their own uses. So these things are all things we did not think of before."

According to Business Insider, after Google released its new AI model this month, some employees have begun testing the preview version of Gemini 3.8 Flash on the internal coding platform Jetski. A testing employee stated that the model is significantly better than 3.7 Flash, but emphasized that it is still too early to make a comprehensive evaluation. Google declined to comment on this.With 3.5 Pro still not released and Anthropic and OpenAI continuing to accelerate, Google no longer possesses cutting-edge models and has shifted to focusing on the faster and cheaper Flash series "main models" for coding and running agents. Gemini 3.6 Flash was launched in July, and 3.7 Flash followed just three weeks later. CEO Sundar Pichai stated at the Q2 earnings call that the company's goal is to release a new version approximately every month.The employee preview suggests that the public launch of Gemini 3.8 Flash may not be far off, but it is not guaranteed. Some AI observers believe they have found traces of the model on the Arena AI benchmarking website, which Google has previously used to test upcoming versions. Earlier this year, Google also launched the Gemini Spark agent.