ca

Caroline Pham, Chief Legal Officer of MoonPay and former Commissioner of the U.S. Commodity Futures Trading Commission (CFTC), stated that cryptocurrency regulation does not require congressional legislation and can be advanced solely through rules established by regulatory agencies.She mentioned that the regulatory jurisdiction of the CFTC is nearly all-encompassing, as the Commodity Exchange Act stipulates that almost all items, except onions and movie box office revenues, fall under the category of commodities.

a16z crypto invited Stanford University professor Dan Boneh, a16z crypto partner Eddy Lazzarin, and other experts to discuss the threats AI poses to cryptography. The experts pointed out that recent advancements in AI in the field of mathematics have not included cryptographic results and have not proven any specific cryptographic assumptions to be less secure.The experts stated that modern cryptography relies on the assumption that certain mathematical problems do not have efficient algorithms; if this assumption holds, no matter how powerful AI becomes, it cannot find algorithms that do not exist. This assumption is related to the unsolved P vs NP problem in computer science, and current AI advancements have not yet touched upon this issue.The experts believe that AI can significantly reduce the time required for cryptographic reviews. Hypotheses that previously took ten years to validate can now allow models to run for a month to attempt to break them. At the same time, the migration work driven by quantum threats has prepared for some of the risks posed by AI, and cryptographic agility can help systems switch methods when weaknesses are discovered. For developers, the most direct opportunity is to use AI to discover more vulnerabilities before software deployment.

Artificial intelligence researcher, OpenAI co-founder, and former Tesla AI director Andrej Karpathy stated on X that the gap in public understanding of the capabilities of large language models is widening, evolving from two groups talking past each other to a steeper funnel. He reiterated related posts from April and provided a layered estimate based on exposure.Karpathy noted that approximately 6 billion people (about 75% of the global population) have had little to no exposure to large language models; around 1 to 2 billion people (about 20%) only occasionally use free versions of ChatGPT-like products, often viewing them as better search or writing aids, with many non-technical individuals and professionals outside of mathematics and coding considering their utility limited. About 20 million people (0.2%) use cutting-edge models professionally in mathematics and coding, witnessing complex projects that previously took weeks or months being completed by agents under prompts, including building, copying, translating applications, and decompiling applications from binary. He mentioned that less than a year ago, he was still manually writing code word by word.Karpathy also stated that around 5,000 people (about 0.00006%) have internal access to cutting-edge systems. The previews seen externally involve thousands of agents collaborating for weeks on large software projects, cybersecurity, scientific discoveries, and mathematical frontiers, with human reviews starting to lag behind; for instance, events related to OpenAI and Hugging Face are still being sorted out months later, and mathematicians may spend a long time studying 722 cutting-edge mathematical manuscripts. He believes that this funnel is driven by the scale of problems and time spans, the prominence of capabilities in digitizable and verifiable fields, and the differences between free, paid, and internal access.

Grayscale's Research Director Zach Pandl stated in his column The Stack on October 8 that the rising demand for AI is due to decreasing usage costs and technology's ability to perform tasks more autonomously, thereby increasing the demand for computing power and the physical infrastructure that supports AI. Lower costs can unleash more AI activities, and the low-cost competition of open-source weight models is driving down token prices, making cheaper intelligence economically viable for more applications and automated workflows.The article cites that Anthropic's latest Sonnet model claims to reduce the cost of each task by up to 30%; OpenAI's always-on agent dots, launched on September 29, can work towards user goals around the clock, potentially significantly increasing the demand for computing power. Pandl compares that chatbots primarily answer questions, while agents execute multi-step processes to achieve goals, with tasks like preparing for client meetings potentially consuming 5 to 50 times the tokens of a single chat interaction, and always-on agents may extend processing beyond a single conversation.Pandl cites Goldman Sachs' prediction that by 2030, token consumption could increase 24 times, primarily driven by agents; even with improved efficiency, if usage grows faster, the total demand for computing power may still rise. He points out that digital activities still rely on physical infrastructure that requires time to deliver, such as electricity, data centers, and GPUs, and cheaper AI can coexist with tight computing power supply, mentioning that CoreWeave recently signed new contracts at higher computing power prices. His conclusion is that cheaper intelligence and stronger agents may expand use cases and usage enough to offset efficiency gains, thereby supporting the demand for scarce computing power and benefiting its owners.

The XRP Ledger Foundation published a post on platform X to clarify the recent security vulnerability incident of the XRP Ledger, stating that the vulnerability could be used to bypass the limit of the total supply of XRP fixed at 100 billion coins, but it was fixed two weeks ago with version 3.4.1. After verification, no new XRP has been created, and the total amount of XRP currently circulating in the ledger is approximately 99.986 billion coins.The foundation stated that the vulnerability requires hundreds of deliberately constructed operations to trigger and that normal payment transactions are unlikely to be involved. In the future, they will strengthen formal verification, AI adversarial testing, security research collaboration, and vulnerability bounty programs with RippleX and the community. Regarding the repair process, the foundation explained that publicly releasing a patch could allow attackers to use AI to accelerate vulnerability analysis. To address this situation, the XRPL community coordinated efforts. Participants including the XRP Ledger Foundation, RippleX, core developers, and validators reached a social consensus to agree on a plan to directly release the repair program.In addition, version 3.4.1 was also adopted as the mandatory version for the network only after going through the normal amendment voting process and receiving over 80% support from validators for two consecutive weeks. Protocol changes still need to be completed through the amendment mechanism. Previously, J. Ayo Akinyele, the engineering lead at RippleX, also posted on platform X expressing high concern about the recently disclosed critical vulnerability issue in the XRP Ledger (XRPL) payment engine, which is a serious security issue that has existed in the codebase for over 10 years and theoretically could lead to XRP being over-created, breaking the fixed supply limit. However, the vulnerability was discovered by the security research organization Veria AI through Ripple's vulnerability bounty program before it could be exploited.

According to Catcher Predict monitoring, the predicted market on Polymarket for the "Ravens vs. Falcons" event shows that the "Over" option in the sub-market "Ravens 2H O/U 12.5" has experienced a sharp fluctuation in winning probability, dropping from 50% an hour ago to the current 35% (a fluctuation of 15%). Please note the impact of related breaking news.

According to Catcher Predict monitoring, in the Polymarket event "Los Angeles Dodgers vs. Milwaukee Brewers," the "Over" option in the sub-market "Los Angeles Dodgers O/U 0.5" has experienced significant fluctuations in winning probability, soaring from 50% an hour ago to the current 72% (a fluctuation of 22%). Please note the impact of related breaking news.

According to The Wall Street Journal, sources say that Amazon (AMZN.O) is in talks to acquire the artificial intelligence startup Decart.

The European Union is reviewing MiCA, with related consultations involving the requirement for developers of non-custodial Bitcoin wallets to obtain certification before providing software to the public. The European Securities and Markets Authority (ESMA) stated that open-source development, self-custody, automated smart contracts, and permissionless infrastructure should not automatically be considered regulated intermediaries.At the same time, ESMA proposed establishing new regulated services for crypto asset service providers that offer customers access to decentralized protocol services. This review has not changed the current rules, and the European Commission will assess the relevant opinions and submit a review report by June 30, 2027, in accordance with Article 140 of MiCA.

According to Catcher Predict monitoring, the predicted market on Polymarket for the "Bears vs. Packers" event shows that the "Bears" option in the sub-market "Bears vs. Packers" has experienced a sharp fluctuation in winning probability, dropping from 51.5% an hour ago to the current 24.5% (a fluctuation of 27%). Please note the impact of related breaking news.

Papertrade's official response to the allegations of price manipulation and the existence of obvious loopholes in the protocol states: It has never been possible for small orders to have the same priority as large orders. If this were done, the front end would suffer from congestion due to junk trading, and the consequences would be much worse than the existing queuing mechanism.Under these constraints, we have designed the fair launch to be as inclusive as possible.Last night, the attempts to manipulate BTC/ETH on Hyperliquid BBO were not due to flaws in the mechanism that took six months to design. These situations had already been considered; it was only because the position limits were set very loosely in the early stages to cope with congestion that such occurrences were possible. If position limits were set during peak demand for launching, it would only exacerbate the slow experience, and the queuing mechanism itself, due to the uncertainty of opening/closing confirmation times, naturally provides protection against manipulation.As congestion eases, we have begun to tighten position limits on-chain and at the relay level. In such a system, manipulation attacks are always possible— the key is whether the attempt is economically viable. The official goal is to set parameters to a point where it is almost never profitable; even if successful, the tail risk is extremely high, and the expected value is negative.

According to Catcher Predict monitoring, in the market prediction on Polymarket for the "Texans vs. Titans" event, the "Texans" option in the sub-market "1H Spread -17.5" has experienced a dramatic fluctuation in winning probability, soaring from 12.5% an hour ago to the current 30% (a fluctuation of 17.5%). Please note the impact of related breaking news.

According to Catcher Predict monitoring, in the market prediction event "Dota 2: Team Yandex vs Team Spirit - BLAST Slam Playoffs" on Polymarket, the option "Team Yandex" in the sub-market "Match Winner" has experienced a sharp fluctuation in winning probability, dropping from 67.5% an hour ago to the current 49.5% (a fluctuation of 18%). Please note the impact of relevant breaking news.

According to Catcher Predict monitoring, in the market prediction on Polymarket for the event "Counter-Strike: Vitality vs MOUZ - ESL Pro League Playoffs," the "Vitality" option in the sub-market "Map 3 Round Spread: Vitality (-3.5) vs MOUZ (+3.5)" has experienced a sharp fluctuation in win probability, dropping from 39% an hour ago to the current 24% (a fluctuation of 15%). Please note the impact of related breaking news.

According to Catcher Predict monitoring, in the market prediction event on Polymarket "Valorant: G2 Esports vs T1 - VCT Championship Playoffs," the "G2 Esports" option in the sub-market "Match Winner" experienced a drastic fluctuation in win rate, plummeting from 83.5% an hour ago to the current 44.5% (a fluctuation of 39%). Please note the impact of related breaking news.

According to Catcher Predict monitoring, in the Polymarket event "Eagles vs. Jaguars," the "Eagles" option in the submarket "2H Spread -4.5" has experienced significant fluctuations in winning probability, soaring from 16.5% an hour ago to the current 31.5% (a fluctuation of 15%). Please note the impact of related breaking news.

Crypto trader Ansem posted about one of the biggest lessons learned from years of trading cryptocurrencies.He stated that catching the right rotation in trading is just the first step; what truly determines whether you can keep the profits is whether you can take profits in a timely manner and compound them. In 2017, he made a lot of money trading altcoins, but much of it was through rotation trading, giving back profits and returning to square one.From 2020 to 2021, he showed significant improvement, being able to identify narratives earlier, rotating between SOL, LUNA, and AVAX, and compounding profits from different trades. Recognizing opportunities early and knowing when to take profits are equally important skills.

According to Catcher Predict monitoring on-chain data, significant capital movements are predicted in the Polymarket market. A large whale invested $111,881.85 in the "Counter-Strike: Aurora Gaming vs Spirit (BO3) - ESL Pro League Playoffs" event, specifically on the "Match Winner." Based on the current transaction price, the latest corresponding win rate for this target is 64%.

According to Catcher Predict monitoring, in the market prediction on Polymarket for the event "Dota 2: Team Spirit vs PARIVISION - BLAST Slam Playoffs," the sub-market "Game Spread: PARI (-1.5) vs Team Spirit (+1.5)" has seen a dramatic fluctuation in the win rate of the "PARIVISION" option, soaring from 46% an hour ago to the current 67% (a fluctuation of 21%). Please note the impact of related breaking news.