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first_img Florida requests the court to prohibit OpenAI from unsupervised development of new models

According to a report by Reuters on September 28, Florida Attorney General James Uthmeier requested a judge on Monday to prohibit OpenAI from developing new artificial intelligence models without external oversight. This request is part of the state's lawsuit accusing OpenAI of harming children. Uthmeier also asked the court to order OpenAI to prohibit minors from using ChatGPT and to prevent the company from attributing human characteristics to the chat platform.Florida sued OpenAI in June, accusing it of misrepresenting the safety of ChatGPT, claiming that the platform provided information to school shooters, offered guidance on self-harm, and made young users addicted. The lawsuit was triggered by a shooting incident at a university in Tallahassee last year, as well as several other incidents in other states where it was alleged that ChatGPT provided information to individuals who later committed acts of violence. Uthmeier, a Republican, is also the first state attorney general to sue OpenAI over its impact on young users, and the company is facing related lawsuits filed by individuals and families.OpenAI spokesperson Drew Pusateri stated that the company has paused training its most powerful models and will not resume until additional safety measures are implemented, expressing a willingness to work with Florida and other states to promote pragmatic policies applicable across the industry. The company denies responsibility in these cases, stating that the chatbot provides information widely available online and continuously updates its safety tools. The request also cited recent comments from a former OpenAI employee and a current board member, stating that the development of artificial intelligence could lead to the end of humanity and must be slowed down.

first_img Central Daily News: Former CEO of Changxin Storage accused of pressuring for Samsung technology

According to a report by South Korea's "JoongAng Ilbo," a statement obtained from a former head of equipment investment at Changxin Memory Technologies (CXMT), who has a background at Samsung Electronics, reveals that the former CEO of CXMT, Wang Ningguo, summoned the Korean team, including the individual in question, from October to December 2016. He demanded they bring back Samsung Electronics' Process Recipe Plan (PRP) and equipment information, threatening to report them to the South Korean government if they failed to do so, and warned them to verify their connections and not to lie. The individual stated that they felt scared at the time. The report mentioned that CXMT's management referred to Samsung Electronics as "Huangshan."After working at Samsung Electronics for 28 years, the individual joined CXMT and was prosecuted for allegedly leaking and using Samsung's 1.6 trillion won investment in the world’s first 18-nanometer DRAM process without authorization. In April of this year, they were sentenced to seven years in prison in the first trial and are currently in the second trial. The PRP includes the sequence of about 600 steps in DRAM manufacturing, equipment, condition values, and the companies and models of the equipment. Park, a former process design engineer at Samsung, hand-copied the relevant content into a 12-page notebook in September 2016 and brought it out, and is currently under an Interpol Red Notice.During the court hearing, the individual stated that there was a claim made during communications with the Chinese side that investment would not be provided to CXMT if they could not produce the 18-nanometer process. They later learned that the other party had wanted the technology from the very beginning, and CXMT initially had no plans to develop it independently. The pressure mentioned occurred before a meeting to prepare for the investment application. CXMT was established in 2016 with an investment of 14.4 billion yuan from Hefei Industrial Investment, a subsidiary of the Hefei municipal government, and had not been profitable for about 10 years, achieving its first annual profit last year with a net profit of 7.1 billion yuan.

first_img a16z partner David George: OpenAI's advantage lies in creating new customers and distribution

David George, a general partner at a16z, stated that OpenAI understands a rare but important thing: the purpose of a business is to create customers. He believes that OpenAI will not win solely due to model, chip, cost performance, or product leadership, but because it excels at creating new types of customers and has a more sustainable distribution strategy.David George indicated that in the context where intelligent services are widely available, the key is whether new usage behaviors can be awakened and distribution won. He summarized the leverage for building cutting-edge large-scale AI businesses as creating new behaviors, reaching a large number of users, pricing to capture value, and increasing conversion costs, and he believes that the last two are difficult to form long-term advantages; competition ultimately depends on the first two.The article also mentioned that OpenAI has found seemingly simple breakthroughs in areas such as chat interfaces, reasoning, tool invocation, and Computer Use multiple times, and is building long-term distribution in a platform manner. David George stated that OpenAI has a broad user base covering consumers, professional users, and enterprises, as well as the ability to deeply understand its own technology stack, thus being better positioned to discover reusable new patterns and foundational capabilities.

first_img Grayscale Research Director: Computing power is becoming a new scarce digital asset

On September 24, Zach Pandl, the research director of the cryptocurrency asset management company Grayscale, published an article in the column The Stack stating that in the wave of artificial intelligence, the demand and supply paths for the computing power required to train, run, and operate models are diverging. Grayscale believes that this imbalance favors owners of already powered and operational computing capacity and brings growth-oriented investment opportunities.Zach Pandl stated that digital demand can expand instantly, but physical infrastructure such as electricity, data centers, chips, memory, and cloud services takes years to approve, access, and build. When artificial intelligence agents perform multi-step tasks, they may consume 5 to 50 times more compute tokens than typical chatbot interactions, and increased application layer activity will transmit to the underlying computing infrastructure.The article cites data from the International Energy Agency and Lawrence Berkeley National Laboratory, stating that data centers are expected to account for about half of the growth in electricity demand in the United States by 2030, and new projects may take more than five years to connect to the grid. Even if electricity is secured, permits, specialized labor, electrical equipment, cooling systems, GPUs, high-bandwidth memory, and networks are still needed. Continuous value will flow to power producers, data center operators, and artificial intelligence cloud service providers that can convert electricity into computation.

Benson Sun: This round of Bitcoin may show a slow bull trend, gradually reaching new highs

Cryptocurrency KOL and former FTX community partner Benson Sun stated that he expects the current Bitcoin market to show a gradual new high slow bull trend, rather than forming a clear top after a rapid short-term rise like in 2013 and 2017. Before the true cycle top arrives, the market may experience multiple local top signals. He believes that after 2021, the main buyers of BTC have gradually shifted from retail investors to institutions such as publicly listed companies, spot ETFs, and corporate treasuries.Since institutions mainly buy spot, some funds will also use Delta Neutral strategies for arbitrage, and traditional indicators such as funding rates and MVRV Z-Score may not rise to extreme levels again at the cycle top. Recently, the cycle top is more likely to manifest as institutional funds losing momentum rather than retail sentiment becoming overly heated. The Institutional Liquidity Index (ILI) mainly references overall dollar liquidity, the mNAV of Strategy, and the net flow of Bitcoin ETFs to determine whether institutional funds follow up when BTC reaches new highs. When BTC sets a new rolling 30-day high while ILI does not rise simultaneously, it constitutes a yellow divergence; when BTC breaks historical highs while ILI diverges and is below 50, it constitutes a red divergence.Benson Sun indicated that he would use the frequency of yellow divergences as a reference for judging the cycle process: each occurrence would lead to a proper reduction in altcoin positions and leverage; as the market enters the later stages, he would gradually increase the proportion of BTC and ultimately retain only spot. If a red divergence occurs, he would stop participating further.
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