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The BRICS countries issued a joint statement expressing deep concern over the escalation of tensions in the Middle East, calling on countries in the region to exercise maximum restraint. The statement did not name specific countries involved in the Middle East conflict but urged avoiding actions that could exacerbate the situation and encouraged promoting long-term peace and stability through dialogue and diplomatic efforts.

The well-known American political and economic media The Kobeissi Letter expressed its views on platform X, stating, "Trump effectively made interest rate cuts a prerequisite for Walsh to serve as the Federal Reserve Chair. So will Walsh really raise rates in his first adjustment after being appointed by Trump as the Federal Reserve Chair? We believe the market has overestimated the likelihood of a rate hike in September."The Kobeissi Letter, as a domestic American political and economic media outlet, has 2.6 million followers on platform X. This media has published analyses and predictive articles regarding Trump's words and actions multiple times, and Trump has also retweeted reports from this media on the Truth platform.

According to the official announcement, the Gate contract Robinhood section has launched real-time trading for FLYBRAIN, FRONG, and JUGGERNAUT perpetual contracts (settled in USDT), supporting 1-10x leverage.Gate has also synchronized the addition of FLYBRAIN, FRONG, and JUGGERNAUT trading bots and copy trading features.

According to GMGN data, influenced by the attention of a16z co-founder Marc Andreessen on related accounts, the market capitalization of Robinhood Meme Coin FLYBRAIN briefly surged past 30 million dollars, with an intraday increase of over 670 times, currently reported at 29.3 million dollars.According to market news, Meme Coin prices are highly volatile and easily affected by celebrity attention and market sentiment, please be aware of trading risks.

Arya.ag, an agricultural warehousing and loan company in India, is testing a system for tokenizing warehouse receipts for stored grains on the Avalanche dedicated Layer 1 blockchain. Arya.ag is collaborating with Finternet to connect grain storage, warehouse receipts, collateral commitments, and loan statuses through this network. Devika Mittal, head of Ava Labs India, stated that the testing is underway, with each tokenized warehouse receipt representing ownership of the stored goods.Sanmesh Kalyanpur, a director at Finternet Labs, mentioned that Arya.ag's samplers collect information on stored grains and input it into the company portal. Finternet will integrate farmers, commodities, warehouses, and insurance information into a "composite token" for banks to assess collateral risks. Arya.ag stores approximately $2 billion worth of agricultural products in its warehouse network and supports loans of about 120 billion Indian Rupees (approximately $1.26 billion) annually, with its loan department, Arya Dhan, disbursing around $230 million in loans each year.The concept of Finternet originated from a 2024 paper by the Bank for International Settlements (BIS), co-authored by Infosys co-founder Nandan Nilekani and then-BIS General Manager Agustín Carstens, proposing the establishment of an interconnected unified ledger for tokenized assets. In 2024, the Indian government launched a 10 billion Rupee credit guarantee scheme to encourage financing against electronic transferable warehouse receipts. The two companies have not disclosed the expected launch date or initial deployment scale.

Dwarkesh Patel and Jerry Han published research on September 8, 2026, breaking down the contributions of data and model improvements in pre-training progress from 2019 to 2025. The study was conducted on a smaller scale, focusing on pre-training, corresponding to the publicly released model recipes and publicly available data corpora for each year, and was trained at a computational scale of up to 1e19 FLOPs.The results show that under the 1e19 FLOPs computational budget, the computational efficiency gain from data improvements is 12.0 times, while model improvements yield 3.7 times, with the data-side gain being approximately 3.24 times that of the model side. The gains from data and model improvements are largely independent and interact very little, with the additive effect of both explaining 88% of the variance in OLMES scores under a linear model.On the model side, the evolution from GPT-2 to OLMo-2 encompasses optimizers, positional encoding, normalization, activation functions, and initialization, among others. On the data side, the corpus evolved from approximately 9 billion tokens of OpenWebText in 2019 to larger and more finely filtered corpora like UltraFineWeb by 2025.

Pequity Research cited FundaAI stating that the training computing power used by GPT-6 is approximately 10 times that of GPT-5.FundaAI indicated that based on industry discussions, the total computing power consumed by experiments, reinforcement learning, synthetic data generation, and supporting infrastructure could be several times that of the main pre-training run, potentially reaching up to ten times. Once TPU 8t and Vera Rubin are shipped on a large scale, the next round of pre-training acceleration can begin, with large-scale interconnection and optics benefiting the most during this cycle.

The Kremlin stated that Russian President Vladimir Putin had a phone call with U.S. President Donald Trump, which lasted for one hour. Trump focused on ending the Ukraine conflict as soon as possible, and both sides evaluated the visit of the U.S. envoy. Putin supported the restoration of U.S.-Russia relations and discussed prisoner exchange matters.

NVIDIA CEO Jensen Huang stated that GPT-6 Astra was trained using over 100,000 NVIDIA Grace Blackwell NVLink72 chips. It took only 4 years from ChatGPT to o1, and then to Astra. AGI has arrived. Congratulations to the OpenAI team.

The Ukrainian police and the Security Service of Ukraine (SBU) recently dismantled a scam network that used a fake investment platform to steal cryptocurrency. This network disguised itself as an investment platform website, luring users to connect their main cryptocurrency wallets and approve a small test transaction when withdrawing funds. Subsequently, it used a "wallet stealer" hidden within the website to automatically transfer user funds to wallets controlled by the operators, kicking victims off the platform. Investigators have currently confirmed 62 victims, with over 46 Ukrainian citizens involved, and the network could steal up to $1 million per month.The police stated that the false profits displayed on the platform are part of the scam, with operators manually creating transactions and adjusting user account balances to create the illusion of investment growth. In addition to cryptocurrency, the platform also collected victims' passport information, phone numbers, email addresses, login credentials, and photos during the registration and identity verification process. The main organizer of the network is a 25-year-old IT expert who recruited over 46 Ukrainian citizens and operated multiple offices in Kyiv and surrounding areas, with members responsible for building and maintaining fake websites, contacting potential victims, and providing security.Victims come from multiple countries, including Germany, Poland, Lithuania, Latvia, Spain, France, the United Kingdom, Canada, and Israel. The police traced the gang's server equipment located in the Netherlands and obtained a database stored there, which included a list of victims, cryptocurrency wallet addresses, suspected stolen amounts, internal communications, and platform operation information. The Ukrainian police and SBU subsequently executed 34 searches in Kyiv and surrounding areas, seizing over 100 computers, more than 100 mobile phones, 79 SIM cards, documents, cash, and 15 vehicles.

According to TechCrunch, citing multiple informed sources, less than three months after emerging from stealth mode, the startup XDOF, which specializes in collecting real-world remote control data for training general-purpose robots, is in the late stages of negotiations for a Series B funding round, with an expected valuation of around $1.2 billion. This round of financing is led by 8VC.XDOF was co-founded in 2024 by researchers Philipp Wu (CEO) and Fred Shentu (CTO) from the University of California, Berkeley. The company previously completed a $70 million Series A funding round, with investors including Thrive Capital, Andreessen Horowitz, Lux, and Spark Capital. XDOF did not originally plan to raise funds again so quickly after completing this round, but informed sources say the company's business is growing rapidly, with annual revenue nearing $50 million, thus attracting several venture capital firms to proactively reach out and push for a new funding round.TechCrunch was unable to ascertain the specific amount of this funding round and could not confirm whether the aforementioned $1.2 billion valuation includes the new financing. Informed sources indicated that the transaction terms have not yet been finalized and may still change.

According to token unlocking data from the crypto asset data platform RootData, Rain (RAIN) will unlock approximately 3,625,682,000 tokens at 11:00 AM Beijing time on September 12, with a value of about 596 million USD.

The blockchain verification and auditing platform Assure DeFi announced that it will cease operations and will no longer accept new business. The company stated that it has completed verification for over 1,500 projects, involving a total project value of over $2 billion.Existing KYC and audit records will remain valid and will continue to be publicly accessible after the closure. The team stated that in the future, they will focus their main efforts on their artificial intelligence agent team business, Brainverse.

According to CriptoNoticias, the Argentine Public Prosecutor's Office (MPF) conducted a special training course titled "Virtual Assets: Financial Analysis, Tracking, Detection, and Seizure" for internal staff, officials, and judges on August 19 and September 2, 2026, via the Zoom platform, with anti-money laundering specialist lawyer Carmen Chena as the speaker.The course covered topics such as digital wallet asset analysis, domestic and international legal frameworks, the cryptocurrency ecosystem, and practical case studies on preservation measures. Previously, the Argentine judicial system had accumulated rich experience in cryptocurrency-related cases, including the freezing of 3 million USDT in December 2024 and the ruling in 2022 for Binance to return stolen BTC.

On Tuesday, the Ukrainian National Police and Security Service announced the dismantling of a fake investment platform network based in Kyiv. This gang stole cryptocurrency from users in over 20 countries through built-in wallet theft tools. Investigators have currently confirmed 62 victims, including citizens from Germany, Poland, Lithuania, Latvia, Spain, France, the UK, Canada, and Israel. The organizers recruited more than 46 Ukrainians, operating multiple offices in Kyiv and surrounding areas, where developers were responsible for building the fake platform and resisting bans, while other members handled customer service and security.According to the Ukrainian Security Service, the organizer is a 25-year-old IT expert, and the gang's peak monthly revenue reached up to $1 million. The scam began with advertisements for cryptocurrency investment projects on Telegram. After users registered, they connected their wallets and invested funds, while gang members manually forged transactions to show a continuously increasing balance in the user backend. When users requested withdrawals, the platform required them to connect their main wallet and approve a small "test" transaction under the pretext of verification. This authorization immediately triggered the built-in theft tool on the website, transferring assets to wallets controlled by the gang and locking the victims' accounts.Investigators tracked down server equipment storing the gang's database in the Netherlands, which recorded victim information, wallet addresses, stolen amounts, internal communications, and platform operation data, as well as user passports, phone numbers, emails, login passwords, and photos. Police executed 34 searches in Kyiv and surrounding areas, seizing over 100 computers, more than 100 mobile phones, 79 SIM cards, one GSM gateway, cash, and 15 vehicles.

According to market news, AI training data startup AfterQuery has completed a new round of financing, with a valuation reaching $3.2 billion. Just five months after completing a $30 million Series A round at a valuation of $300 million in April, the valuation has increased more than tenfold.According to Y Combinator partner Gustaf Alströmer, this is the fastest startup in YC history to go from founding to becoming a unicorn. The founders of AfterQuery are only 22 and 23 years old and just participated in the YC Winter 2025 batch 18 months ago. The company announced in April that its annualized revenue has reached $100 million, with clients including NVIDIA, Legora, and the South Korean AI lab Motif Technologies. AfterQuery focuses on training models and agents to complete tasks like professionals rather than just ensuring the accuracy of answers.

Anthropic stated that the company has temporarily paused certain AI training and cybersecurity assessments. The company disclosed the relevant adjustments in a blog post, explaining the measures taken in response to unauthorized actions by its AI agents earlier this year. OpenAI previously indicated that it had paused some model development work due to safety concerns. Anthropic also confirmed that it has taken similar measures and emphasized the need for broader coordination on the pace of frontier AI development.Anthropic stated that after disclosing three related incidents in July, the company paused external cybersecurity assessments for pre-release models and also briefly suspended internal testing of pre-release models. Following the incidents, the company also paused high-risk reinforcement learning environments in pre-release models for several weeks. Anthropic noted that most reinforcement learning work has resumed, but some high-risk environments remain on hold, awaiting human review or updates to monitoring tools.

Balancer announced that a vulnerability was found in the old Balancer v1 contract, which could lead to LP funds being drained.The related liquidity pools have been deprecated and cannot be paused, and users are advised to withdraw their liquidity as soon as possible. Other Balancer products are not affected.