According to Jin10, OpenAI founder Sam Altman said Monday that energy consumption per AI query is falling sharply and efficiency is improving significantly, while demand for AI use is rising substantially as efficiency improves. He said the AI and energy industries have a responsibility to make this work for society.

PARIVISION’s probability in Polymarket’s “Counter-Strike: PARIVISION vs. G2 - IEM Beijing Group B” “Map 2 Winner” sub-market surged 33%. According to ChainCatcher, the probability rose to 74.5% from 41.5% one hour earlier.

According to Jin10, Hong Kong’s Securities and Futures Commission released its first survey on the use of and readiness for artificial intelligence at large institutions, finding that AI is widely used in business and surveillance functions, while responsible expansion remains challenging. Conducted from July to August 2026, the survey covered 20 large financial institutions and 78 Hong Kong-affiliated licensed corporations, representing 75% of securities-market trading in the first half of this year. All respondents said they used AI; 95% expected to accelerate its adoption over the next year; 90% had used or were assessing AI to guard against cyberattack risks; and 55% were using or testing agentic AI.

Wall Street is developing financial derivatives linked to GPU computing rental prices to help AI infrastructure operators hedge against falling rental income. According to Sina Finance, trading firms are designing options and other over-the-counter products tied to computing prices, while trading in technology-stock put options and credit default swaps (CDS) has also grown more active amid concerns about AI capital spending and investment returns. Quantitative trading firm Jump Trading recently established a dedicated computing-trading division. It trades on price differences among service providers and is designing over-the-counter derivatives to offer price protection to AI infrastructure operators. A cloud provider renting out Nvidia GPUs could buy a put option tied to computing rental prices and receive compensation if increased supply drives prices down. The transaction could be settled through a purchase of computing capacity at an agreed price or in cash. The rental price for Nvidia B300 chips has risen about 56% this year to $7.56 per hour. One potential arrangement proposed by Jump Trading would provide operators with price protection at $4 per hour. Susquehanna International Group said it had received inquiries from data centers and private AI cloud companies about hedging chip and computing-price risks. Such products could be linked to computing-price indexes to protect future rental revenue. These instruments could also improve financing terms for operators borrowing to buy GPUs and build data centers. Nvidia CEO Jensen Huang proposed in August that AI computing capacity be treated as infrastructure assets capable of generating ongoing revenue and being redeployed among customers, and called for financial institutions to provide long-term financing for AI infrastructure. Investors are also seeking protection in equity and credit markets. CoreWeave put-option volume hit a record in October, with popular contracts including $35-strike puts expiring in 2028; the company’s share price was recently about $55. CDS spreads on Amazon, Alphabet, Microsoft, Meta and Oracle generally widened over the past month to their highest levels since 2021. Oracle’s spread widened by more than 100 basis points. On October 30, the Nasdaq Composite fell about 2.9%. It declined about 5.3% over October, its worst monthly performance since March 2025. The computing-derivatives market remains at an early stage, with trading volumes far below the broader AI investment market and liquidity and pricing mechanisms still developing.

골드만삭스는 AI 투자 증가율이 정점에 달할 시점이 임박했다고 보고 있습니다. 이러한 추세는 지난 3년간 지속된 "급증 현상"에서 벗어나 이제 양면을 모두 고려해야 하는 "일반적인 현상"으로 변모하고 있으며, 시장은 더 이상 일방적인 가격 책정을 지지하지 않고 있습니다.

A whale deposited 1.49 million SOL across multiple exchanges over 10 days, worth about $149 million. According to Odaily, Lookonchain tracked the deposits.

메타, AI 에이전트, 인공지능, 중국산 주커버그의 로봇, 골든 파이낸스, 미국은 AI를 만들고 중국은 하드웨어를 만든다.

원키(OneKey) 창립자 왕(Wang)은 구형 아이폰에는 패치할 수 없는 결함이 있어 암호화폐 지갑이 위험에 처할 수 있다고 경고했습니다. 그는 사용자들에게 자금을 새로 생성한 지갑으로 옮길 것을 권고했습니다.

유동성 회복과 시장 신뢰 회복은 같은 것이 아닙니다. 도난당한 자금은 다시 채워질 수 있지만, 기관과 투자자들이 시장에 계속 참여할 의향이 있는지 여부는 시간이 지나야 확인할 수 있습니다.

민주당이 미국 의회를 휩쓸 확률은 71%입니다! 이것이 인공지능과 암호화폐에 얼마나 큰 영향을 미칠까요?

바이낸스는 사상 최대 규모인 63억 달러의 암호화폐 해킹으로 도난당한 자산의 약 95%를 복구했지만, 일부 고객은 여전히 ​​자금 인출에 제한을 받고 있어 복구가 완전히 완료된 것은 아닙니다.

미 연방수사국(FBI)은 북한이 바이낸스에서 60억 달러 이상의 암호화폐 자산을 훔친 책임이 있다고 지목하는 성명을 발표했으며, 이러한 악의적인 사이버 활동을 '트레이더트래터(TraderTraitor)'라고 명명했습니다.

라자루스 코퍼레이션은 어떻게 탄생했을까요? 어떻게 그토록 뛰어난 지능과 교활함을 지닌 컴퓨터 전문가들을 만들어냈을까요? 그리고 어떻게 수십억 달러를 횡령했을까요?

가상화폐와 블록체인은 보통 업계 컨퍼런스나 프로젝트 발표에서 논의되던 주제였지만, 이제 중앙 정부의 반부패 전략에 직접적으로 포함되었습니다.

36억 달러의 순유출액은 운용자산의 2%에 불과합니다. 바이낸스의 공동 CEO인 허이는 일부 이체가 바이낸스 내부 지갑 간에 이루어졌으며, 모두 고객 인출에서 발생한 것은 아니라고 밝혔습니다.