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OpenAI CEO Sam Altman introduced three proposals for the safe development of super AI to employees last week. The first is to establish a global regulatory organization similar to the International Atomic Energy Agency, to inspect advanced models and audit safety measures. Insiders say Altman leans towards this route.The second proposal emulates the European Organization for Nuclear Research, merging major AI laboratories into one organization or collaborating through a unified agency for joint development, rather than continuing to race against each other. The third and most extreme, which he referred to as the "Eliezer Plan": an AI company achieves recursive self-improvement first, and then uses overwhelming economic power to control computing power, making it impossible for other developers to catch up. Altman described this idea as "melting down all other companies' GPUs," while stating that this plan is very bad and is only meant to illustrate the extreme possibility.The idea of "melting down GPUs" comes from AI safety researcher Eliezer Yudkowsky. He proposed a thought experiment in 2021, suggesting that super AI could create self-replicating nanomachines to melt down global GPUs, stating that this is merely an extreme example to illustrate the intensity of intervention, not a proposal to be executed. OpenAI proposed the establishment of an "AI version of the International Atomic Energy Agency" in 2023, and Google DeepMind head Hassabis has also advocated for the creation of an "AI version of CERN." Currently, OpenAI, Google, and Anthropic plan to establish a joint safety standards organization by the end of this year or early next year, but there are disagreements over the responsibility for model safety testing. Altman hopes to set speed limits for AI development while stating that OpenAI cannot currently cede its competitive advantage to rivals.

According to official data from Bitget, the seventh batch of rewards for the platform's "Peer Program" has been fully distributed. As of now, the program has distributed a total of 6,813,732 USDT in rewards, with a total of 5,239,752 participants.In addition, after users enter the event page to claim their rewards, they will also receive an additional chance to participate in the 8th Anniversary Surprise Blind Box Lottery. The event will last until October 26.

According to Barchart, the daily Bollinger Bands for Bitcoin have formed one of the tightest widths in the past two and a half years. This indicates that Bitcoin is "consolidating and tightening," possibly preparing for a major market movement.Bollinger Bands are a commonly used indicator in technical analysis, consisting of three lines: the middle band, which is usually the 20-day simple moving average (SMA); the upper band, which is the middle band + 2 times the standard deviation; and the lower band, which is the middle band - 2 times the standard deviation. Historical experience shows that after a significant tightening of the Bollinger Bands, a directional breakout (either upward or downward) often follows. It is common for volatility to suddenly expand from an extremely low state.

According to The Information, DeepSeek is collaborating closely with Huawei to jointly design the next generation of AI chips, aiming to build models that do not rely on NVIDIA's computing power. Insiders revealed that Huawei engineers have entered DeepSeek's office to understand its model architecture and algorithm requirements, and to test how the chips handle data transmission and compression, with the first compatible chip targeting Ascend 950DT.The report pointed out that this move comes as China pushes to reduce its dependence on American chips. Limited by TSMC's foundry services and U.S. export controls, Huawei's Ascend 950DT is planned for release in 2027, but mass production may be delayed until 2028. To address the chip shortage, DeepSeek is using the TileLang programming language to bypass CUDA restrictions, while still attempting to acquire the banned NVIDIA Blackwell chips through third-party data centers. In addition, DeepSeek is forming a chip team and has begun testing clusters with over 1,000 processors.

According to on-chain analysis platform Glassnode, the leverage level in the altcoin market remains high. Since the leverage rate peaked earlier this month, the prices of related cryptocurrencies have experienced a pullback, but over 40% of large-cap altcoins still have leverage rates close to the highest levels of the year.The proportion of mid-cap altcoins in a high-leverage state has risen to a year-to-date high. Glassnode points out that if prices continue to decline, a large number of long positions in the market may face the risk of being liquidated.

According to Catcher Predict monitoring, in the market prediction event "Cleveland Guardians vs. Tampa Bay Rays" on Polymarket, the "Over" option in the sub-market "O/U 6.5" experienced a sharp fluctuation in winning probability, plummeting from 53.5% an hour ago to the current 37.5% (a fluctuation of 16%). Please note the impact of related breaking news.

Financial Associated Press, October 20 - Amazon launched the open-source tool TorchNeuron on the 19th local time, aiming to lower the barrier for developers to transition from NVIDIA chips to its self-developed chips, challenging NVIDIA's software barrier built on CUDA. According to reports, this tool allows AI code written in PyTorch to run on Amazon's self-developed AI chips without the need for rewriting. PyTorch is maintained primarily by Meta and is described as an open-source framework used by most AI developers.Amazon's chip design department, Annapurna Labs, introduced that with TorchNeuron, developers only need to modify one configuration to run the same code on the self-developed Trainium chip. Amazon announced the launch of this tool on the 19th local time and plans to publicly release it in a free open-source format at the PyTorch conference in San Jose, California on the 20th.Colin Brace, Vice President of Software at Annapurna Labs, stated in an interview that the launch of TorchNeuron is intended to reduce the steps required for developers to try Amazon's self-developed chips, starting from the customers' existing workflows. He revealed that over 30 early customers are already using it, covering fields such as robotics, world models, and voice AI, and mentioned that switching to Amazon chips can save costs.

The cryptocurrency market data agency Kaiko stated that one year after the largest liquidation event in the crypto market, the market has not fully recovered.Kaiko noted that in terms of Bitcoin, the open interest of Bitcoin perpetual contracts is still about 16% lower than pre-crash levels, while the spot depth in USD is down 27%. The decline in leverage is faster than the decline in liquidity, with leverage corresponding to each dollar of market depth being 20% lower than before October 10.

According to CoinDesk, Cardano founder Charles Hoskinson stated that he is personally developing a new programming language for the Cardano network and collaborating with Input Output Global engineer Lucas Rosa. Lucas Rosa is a co-creator of Aiken, one of Cardano's main smart contract languages. Hoskinson posted on the X platform that this will be the first programming language to combine user transaction completion intentions with cryptographic proofs.It is reported that the language will support three tools: transaction intent, data with carry proofs, and Groth16 proofs. Transaction intent allows users to specify the goals they want to achieve, while leaving the specific steps to the application, for example, traders can request that a token be exchanged for another only when the final price meets certain conditions, without specifying the exact path.Data with carry proofs can attach cryptographic evidence to information, proving that it complies with specific rules, allowing other applications to verify without recalculating. Groth16 is a widely used proof system that can generate small-sized, fast-verifying proofs, demonstrating that conditions have been met without exposing private data.With the combination of the three, developers can build applications that coordinate transactions, check complex conditions, and pass verified information between services, ultimately verified by Cardano with a small proof. Currently, Cardano developers mainly use Haskell-based Plutus and Aiken to write smart contracts, while Input Output Global, founded by Hoskinson, has its own privacy blockchain Midnight with its language Compact. The name, public code, and release date of this new language have not yet been announced.

According to official news, the treasury company SOL DeFi Development Corp. (NASDAQ: DFDV) announced today that its treasury balance increased by 3,983 SOL in the past week, bringing the total holdings to approximately 2,590,266 SOL and SOL equivalents.

On October 19, the decentralized stablecoin USDD released its treasury report for the third quarter of 2026. The report shows that the total treasury income for USDD during the quarter was $9.7 million, a month-on-month increase of 26.7%; expenses were $7,601; net profit was approximately $9.7 million; and the treasury balance reached $31.24 million, surpassing $30 million for the first time, setting a new historical high.The report pointed out that the performance of the USDD treasury experienced strong growth in Q3, driven by a significant increase in income during the quarter; Smart Allocator's asset allocation yield reached $9.11 million; quarterly expenses decreased by 69.4% month-on-month, further enhancing treasury operational efficiency. This quarter's performance demonstrates USDD's ongoing progress in sustainable revenue growth and efficient treasury management.According to data from the official website, the current supply of USDD is $1.78 billion, with a TVL of $2.48 billion, and Smart Allocator has generated and distributed a total yield of $32.16 million.

Micron Technology Vice President Li Zhe stated at the Korea Semiconductor Exhibition SEDEX 2026 held at COEX in Seoul that the company is developing Edge Inference Memory (EIM) for physical AI. The industry expects this product to enter mass production in the second half of 2028. Micron is researching the use of EIM in LPDDR6 to meet the demand for low-power DRAM in applications such as autonomous driving and humanoid robots, and is in discussions with major customers regarding related products.According to a report by the Science and Technology Innovation Board Daily, EIM is positioned between AI chips and memory, utilizing a method of stacking LPDDR on logic chips to process inference data at high speed, although the computing architecture has not been fully disclosed. Li Zhe mentioned that current robotic AI models have about 1 billion to 2 billion parameters, with low bandwidth requirements; however, as more advanced visual language models emerge, LPDDR alone will not suffice, and HBM will eventually be used for humanoid robots. Micron anticipates that future high-performance humanoid robots will require approximately 200 GB of DRAM and 4 TB of storage, while current service robots require about 12 GB of DRAM and 256 GB of storage.Micron CEO Sanjay Mehrotra stated that the storage capacity of a single humanoid robot is about 10 times that of an ordinary L2+ passenger vehicle. The storage industry may enter a period of sustained demand growth for several decades around 2030, driven by the need to synchronize data from hundreds of sensors and run large models locally for millisecond-level control. Counterpoint Research predicts that global DRAM demand for humanoid robots will increase from approximately 8,300 Tbit this year to about 172,000 Tbit by 2030.

On October 19, Wu Qing, Chairman of the China Securities Regulatory Commission, stated at the opening ceremony of the 2026 Financial Street Forum Annual Conference that they will adhere to a steady approach, fully maintain the safety and stability of the capital market, closely monitor domestic and international market dynamics, and strengthen risk assessment and policy tool reserves.Wu Qing also stated that they will consolidate and improve the mechanisms for stabilizing the market, focus on strengthening the prevention of risks in new types of businesses, remain highly vigilant against new risk points such as leveraged products linked to A-shares from abroad, and continuously build a solid risk defense wall for the capital market.

During the opening ceremony of the 2026 Financial Street Forum Annual Conference, the Governor of the People's Bank of China, Pan Gongsheng, stated that the rapid development of artificial intelligence globally has a profound impact on productivity, investment, employment, income distribution, and financial stability.Pan Gongsheng mentioned that from the perspective of the People's Bank, they will closely monitor and assess the macroeconomic impacts of artificial intelligence development, ensure financial support for the development of the artificial intelligence industry, and steadily promote the application of artificial intelligence in the financial sector.

The Zakura team, which operates the Zcash network, released a technical article stating that they plan to allocate a unique viewing key for each ZEC exchange completed through NEAR Intents, in order to block future quantum computers from exploiting public refund addresses to piece together user payment histories. NEAR Intents supports cross-chain token exchanges, and when users exchange the privacy coin ZEC for USDC, the service will publish a Zcash address for the user on the NEAR public blockchain, which will be used to return any unused ZEC.The Zcash address contains a public key generated by the wallet's viewing key, which cannot be reverse-engineered by ordinary computers, but large quantum computers running Shor's algorithm could theoretically deduce the key from the address. Zcash wallets can generate multiple seemingly unrelated addresses, but they typically share the same viewing key. Once an attacker cracks it, they can associate all payments received by the account and read the amounts and notes. Zakura's solution allocates a unique viewing key for each exchange, while the spending key remains in the user's main account. Even if the future refund address is compromised, the attacker would only be able to see payments related to that specific exchange.This design also addresses a practical issue: wallets conducting hundreds of exchanges would generate hundreds of keys, requiring each key to scan the entire Zcash chain during backup recovery. Zakura's solution is a privately queryable database that uses private information retrieval technology, so when the wallet inquires about the refund destination, the database will not know the address being queried. Zakura claims that wallets built on its open-source library (including Vizor) will be able to add this feature in the coming weeks, and hardware wallets will follow after firmware support, ahead of the January quantum-resistant payment target set by Zcash developers this month.

According to reports from South Korean media, on October 19, during the National Assembly's inspection of state affairs in South Korea, when asked whether the launch of single-stock leveraged ETFs affected the volatility of the South Korean stock market, the head of the Financial Supervisory Service, Lee Chan-jin, stated that he believes it has had an impact to some extent. He expressed deep regret over criticisms for not actively preventing the listing of related products.On the same day, during the National Assembly's Administrative Committee's inspection of the Financial Supervisory Service, a member of the People Power Party stated that searching for news related to the listing of single-stock leveraged ETFs would reveal that there were occurrences from "Black Monday" to "Black Friday," turning an entire week into a black one, and asked Lee Chan-jin whether he believed the listing of this product had an impact on this. Lee Chan-jin responded that he believes it has had an impact to some extent. When asked about other reasons for stock market volatility, Lee Chan-jin added that Samsung Electronics and SK Hynix have experienced severe volatility.