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The Ethereum Foundation (EF) announced that the Protocol Cluster has released two new articles providing a systematic assessment of the upcoming network upgrade Hegotá. Among them, the "Hegotá EIP Opinion Post and Tier List" evaluates and ranks the currently proposed 62 EIPs, marking the first time the team has published a unified EIP rating list for a major network upgrade.It was reported that approximately 60 researchers, engineers, and domain experts from 9 teams under the Protocol Cluster participated in the review, submitting a total of 397 rating opinions and engaging in live discussions on controversial proposals. The accompanying article outlines the current and future key directions of the Ethereum protocol layer, with one core goal being to promote Ethereum L1's quantum resistance capabilities by December 2029. The Ethereum Foundation stated that the aforementioned upgrade plans, long-term commitments, and shared priorities at the cluster level provide contextual basis for finalizing the scope of the Hegotá upgrade and EIP ratings. Additionally, the Protocol Cluster will hold an AMA on September 16 at 14:00 UTC in the r/ethereum community on Reddit to discuss topics such as Hegotá EIP ratings and key protocol developments.

Arthur Hayes released a new project FLOP white paper on social media. FLOP is a proof of useful inference (PoUI) blockchain and native currency aimed at the agent economy, where AI agents can use FLOP to pay miners for inference fees. The network adopts an architecture that combines PoUI with account-based chains, where agents submit session requests to the memory pool containing model weight hashes, maximum latency, computational load, confidentiality flags, and fees. Miners complete the inference and return proofs, which validators incorporate into blocks to complete settlements.The initial supply of FLOP is approximately 2.48346 billion tokens, all allocated for airdrops, with no VC pre-mining or auctions. The first phase of reward distribution allocates 75% to miners, 10% to validators, 10% to agents, and 5% to regular stakers. The average block time for the network is 1 second, with a roadmap goal of sub-second block times. The initial block reward is 96 FLOP, halving every 730 days, for a total of five halvings, after which it will permanently remain at 3 FLOP.The maximum number of validators is capped at 1,000, with approximately 50 rotating monthly based on verified workload and online rates. Miners and validators must stake FLOP, and malicious behavior may face penalties of up to full forfeiture and bans. Governance is conducted through FLOP improvement proposals, requiring a two-thirds approval from active validators in most cases.

ZTE Nubia officially announced that the new mass-produced flagship Nubia NaviX Ultra, equipped with Doubao Mobile Assistant, will be officially released on September 16. As the world's first AI intelligent mobile phone, this device evolves from a tool that requires manual operation by the user into an intelligent assistant that can handle tasks for the user with just one sentence. From today, the new product is available for reservation across the internet, and users can participate in the reservation through ZTE Mall, JD.com, Douyin, Tmall, and various authorized e-commerce platforms.According to Changxin Memory and Nubia Mobile's official Weibo, the Nubia NaviX Ultra will be equipped with Changxin's LPDDR5X memory with a maximum speed of 10667 Mbps, marking the first mass production application of domestically produced 10667 Mbps high-speed LPDDR5X chips.

On the 7th, Huawei released the Mate XT 2 foldable phone in Guangzhou, equipped with the latest Kirin 9050 Pro chip, which is the first high-performance chip to use logical folding technology.The Kirin 9050 Pro layers the logical units within a single chip, adding vertical interconnection channels internally, resulting in shorter signal transmission paths, lower latency, and better performance. This is also the first time Huawei has launched a new Kirin chip at a flagship launch event in six years since the global release of the Huawei Mate 40.

Robinhood Chain's multi-pool RWA token issuance platform PAIR has released the latest ecological data, with a cumulative trading volume nearing 100 million USD and rewards distributed to creators exceeding 600,000 USD, with over 2,000 projects launched on the protocol.In addition, PAIR has disclosed that it has burned PAIR tokens worth over 3 million USD to date, accounting for more than 10% of the total token supply. PAIR also announced that it will unveil the "largest update to date" within the next 24 hours.

This set of posts seems to be the first public exposure of James's formal relationship with Polymarket. Polymarket, as well as representatives from James and the 76ers, did not immediately respond to The Block's request for comment. Previously, James's free agency decision generated approximately $273 million in related contract trading volume across major prediction platforms, according to Legal Sports Report, surpassing any single basketball game; data from Front Office Sports indicated that the related trading volume on Kalshi was about $226 million, while Polymarket's international platform exceeded $43 million.Most traders bet on the wrong outcome: before the official announcement, the odds of the 76ers winning were only about 9%, while the Heat were around 45%. James subsequently signed a two-year, $8 million contract with the 76ers, which includes a player option. Additionally, James had signed a multi-year talent ambassador agreement with DraftKings in 2024. Some fans expressed criticism of James's collaboration with prediction platforms in social media comments.

Arbitrum issued a clarification stating that Robinhood Chain did not experience downtime today. Due to the impact of L1 market Blob behavior, Robinhood Chain experienced delays in batch publishing, but user-initiated transactions were not affected by the delays.Arbitrum stated that some infrastructure service providers relying on data streams from Robinhood Chain experienced temporary performance impacts due to a high number of subscribed data sources. Currently, Robinhood Chain continues to operate normally.

According to Catcher Predict monitoring, in the market prediction event "OpenAI's Astra Release" on Polymarket, the "Yes" option in the sub-market "September 4" experienced a dramatic fluctuation in winning probability, soaring from 12.8% an hour ago to the current 79.15% (a fluctuation of 66.35%). Please note the impact of related breaking news.

On Thursday, the Saudi Arabian artificial intelligence company Humain launched a national AI platform and introduced the Arabic model humain-m3. This model is based on the open-source model M3 from the Chinese laboratory MiniMax Group Inc. Humain is supported by the Public Investment Fund and has invested in data centers and chips to enhance Saudi Arabia's competitiveness in the global AI field.Humain stated that its commissioning of the model aims to strengthen the Arabic AI ecosystem while contributing to the global advancement of cutting-edge intelligence. The company thus joins the ranks of nations seeking to strengthen control over this increasingly important technology.

According to Catcher Predict monitoring, in the Polymarket event "OpenAI's Astra Release," the sub-market "September 4th" option "Yes" has experienced significant fluctuations in winning probability, soaring from 22.75% an hour ago to the current 38.7% (a fluctuation of 15.95%). Please note the impact of related breaking news.

OpenAI officially released GPT-6 Astra on Thursday, with President Greg Brockman calling it a "generational leap in capability" during the press conference, and believing that the model has reached the standard of Artificial General Intelligence (AGI), meaning that artificial intelligence can match or exceed human capabilities. Brockman stated, "Welcome to the era of AGI." If this judgment holds, it means AI entities will be closer to performing reasoning tasks in various complex tasks that humans can do, and even more.GPT-6 Astra is OpenAI's first model to cross the "critical" threshold under its internal danger capability scoring system, the Preparedness Framework, which means it can independently discover previously unknown software vulnerabilities (i.e., zero-day vulnerabilities) without gradual human supervision and chain them into attacks that can run in hardened systems. In testing, the model achieved a score of 100% on the ExploitBench benchmark; to rule out inflated scores due to memory answers, OpenAI conducted a second test using 20 recent vulnerabilities from the Google V8 JavaScript engine. Astra not only surpassed the previous generation GPT-5.6 Sol but also discovered and chained two previously unknown zero-day vulnerabilities, which are still being disclosed to the affected parties.Due to its high autonomy, the monitoring difficulty of Astra has also increased. OpenAI acknowledges that in tests assessing its ability to evade supervision, the model is more difficult to track than previous systems.

OpenAI released a video on X, previewing the upcoming release of the Astra model (the video content switches between ASTRA and A6TRA), and the model name may be GPT-6-Astra.

The official Chinese version of the "2026 Artificial Intelligence Index Report" from Stanford University's Human-Centered Artificial Intelligence Institute (HAI) was officially released today. The report points out that artificial intelligence has moved beyond a mere competition of model capabilities and is deepening into systemic changes at the levels of infrastructure, organizational processes, and institutions.Currently, the leading models worldwide are performing close to 100% human level on the software engineering benchmark SWE-bench; the success rate of agents in real computing environments has surged from 12% to 66%, with AI evolving from "generating information" to "executing tasks." The gap between top models in China and the U.S. has narrowed to 2.7%, with leading models from both sides having exchanged positions multiple times.In addition, physical infrastructure has become a core constraint on AI development. The global AI data center power capacity has reached 29.6 gigawatts, and chips, energy, and water resources are becoming key strategic bottlenecks for AI development.

Cornell University in the United States released a Bitcoin Adoption Index report, which surveyed 25,880 people across 25 countries. The report shows that El Salvador, Venezuela, and Nigeria have the highest percentage of respondents who have owned Bitcoin. The report states that in these economies where fiat currencies are unstable and it is difficult to obtain US dollars or reliable banking services, Bitcoin plays more of a role as a "pragmatic workaround" rather than a speculative tool.A Venezuelan respondent stated that Bitcoin is "faster, cleaner, and less risky" than other ways to obtain US dollars; an El Salvadoran mentioned that "no one controls Bitcoin, which means we all own it"; and a Nigerian respondent said that they have visited six African countries and felt no worries because they knew they could spend Bitcoin.The survey also found that 58% of respondents were unaware that the Bitcoin supply cap is 21 million coins. The report was commissioned by Cornell University and conducted by Morning Consult, in collaboration with the university's Jeb E. Brooks School of Public Policy's Institute for Technology Policy, the Cornell Bitcoin Club, the Human Rights Foundation, and the Reynolds Foundation. The survey was conducted from December 16, 2024, to March 10, 2025, and included 125 questions.

PPP prediction market tool monitoring shows that the probability of Polymarket "OpenAI's Astra being released before September 11" has risen to 86%, up 41% in 24 hours; the probability of it being released before September 15 has risen to 91%, up 29% in 24 hours.If OpenAI publicly releases "Astra" before the specified date, or releases a product confirmed by official or credible media to be the same model as the previously announced "Astra," the event will settle as "Yes," otherwise it will be "No." Eligible models can use names such as Astra, Astra 1, Astra 6, GPT-6 Astra, etc., and can be renamed upon release. Models like GPT-5.7 and GPT-6 will only count if confirmed to be the same model as the previously mentioned Astra. The model must be publicly accessible, including public testing or open waitlists; closed testing and private access do not count. Settlement is primarily based on official information from OpenAI and references consensus reports from credible media.

Elon Musk, founder of xAI, posted on X that Grok 4.7 will be released in 10 days.

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.

On September 1, Anthropic released Claude Fable 5.1 and Claude Mythos 5.1, marking the first update to this model series since the launch of Fable 5 on June 9. Anthropic claims that the new models are the most advanced for programming and knowledge work. In the Terminal-Bench-Science 0.1 benchmark, Fable 5.1 recorded a pass rate of 52.6%, more than doubling Fable 5's 24.7% and surpassing Opus 5's 29%; in Terminal-Bench 4, Fable 5.1 scored 55.8%, higher than Fable 5's 42% and Opus 5's 52.3%.Fable 5.1 and Mythos 5.1 share the same underlying model, differing only in their safety filters. Fable 5.1 is available to all Claude accounts, while Mythos 5.1 remains restricted to professionals vetted through Anthropic's network security verification program and life sciences verification program. In terms of pricing, Fable 5.1 charges $10 per million tokens for input and $50 for output, which is double that of Opus 5. Cache read costs have decreased by 75%, and typical workload costs can drop by about 25%, with high agentic workloads decreasing by up to 45%.