Meta collaborates with Fourier Intelligence to build a humanoid robot prototype in three months, aiming to equip its Muse AI with hands and feet.

According to Lookonchain's monitoring, the Binance attacker made an operational error while selling altcoins, dumping 908,793 PROM tokens (valued at around $5 million) into a nearly depleted liquidity pool on Uniswap V2. The attacker ultimately received only 0.0316 ETH, worth approximately $71, meaning the single operation resulted in a loss of roughly $5 million for the attacker.

The Binance hacker made a $5M mistake while dumping altcoins! The hacker sold 908,793 $PROM (worth ~$5M) into a nearly empty Uniswap V2 liquidity pool and received just 0.0316 $ETH ($71).

Binance has issued an update on its security incident recovery, announcing that Phase 1 withdrawal services will resume from 14:00 to 17:00 Beijing Time (06:00 to 09:00 UTC) on November 1. The first batch of supported networks and assets include BTC, ETH, BNB, TRX, SOL, XRP, ZEC, DOGE, TON, POL, AVAX, ARB, BASE, OP, and SUI. Deposit services remain fully open and unaffected by the incident. The exchange noted that withdrawal resumption will be phased, with specific assets and networks prioritized based on user demand data from the past week, and will be gradually rolled out after completing security and stability checks. Other networks and assets will be restored sequentially once ready. Due to high initial traffic, some users may encounter withdrawal delays or failures and are advised to retry later.

Security firm Blockaid has detected that Premia Labs' protocol on Arbitrum is facing a sustained attack. Attackers created empty option pools, utilized flash loans to purchase options, locked vault collateral in the relevant pools, and subsequently withdrew assets as liquidity. As of Blockaid's announcement, attackers have transferred approximately $400,500 in assets from the vault via around two transactions, and the attack remains ongoing.

Beating AI Flash News: Elon Musk disclosed that Memphis-based supercomputing cluster Colossus 2 plans to deploy around 1.2 million NVIDIA Blackwell GPUs by the end of the year. Two additional facilities will launch soon: Gun Range is set to roll out 220,000 GB300 GPUs by the end of November for model training; Spam, converted from a warehouse originally used to store goods like luncheon meat, will deploy around 200,000 GB300 GPUs exclusively for AI inference. Currently, Macrohard is equipped with 110,000 GB200 GPUs and 220,000 GB300 GPUs, while Macroharder and Minihard each have 220,000 GB300 GPUs. Adding the planned 420,000 new GPUs, the five clusters will total around 1.19 million GPUs. Training and inference workloads have distinct network requirements: Macroharder, Minihard, and Gun Range all use 800Gbps network cards, while Spam’s inference tasks do not need the same level of high-speed interconnection. Musk noted that its network configuration is simpler, requiring less than half the fiber optic cable of training facilities.

Beating AI News (Dongcha) reports: xAI has updated its developer documentation, announcing that starting November 7, it will add invisible text watermarks by default to API outputs for the Grok 4.7, 4.6, 4.5, 4.3 models and three Grok 4.20 variants. The measure covers not only EU but also global and regional APIs, with even structured outputs and tool call parameters marked. It remains unclear if the watermark will also be enabled for Grok’s web version and X’s built-in chat feature. The watermark works by slightly adjusting word selection probabilities during text generation, leaving identifiable statistical patterns in the generated text. Direct copy-pasting will not remove the watermark, while shortening text or extensive rewriting will reduce detection reliability. The move stems from transparency requirements under the EU AI Act, whose relevant provisions took effect on August 2. While xAI has not signed the EU’s voluntary transparency guidelines, it is still required to comply with applicable legal obligations. Developer teams can disable watermarks per model, but must confirm eligibility for relevant legal exemptions and bear full responsibility for marking and disclosure. Google implemented SynthID text watermarks for Gemini as early as 2024, and Anthropic began rolling out watermarks globally for its new Claude models in August this year. OpenAI announced in October that it would gradually add watermarks to ChatGPT and Codex for EU regions, while allowing global API users to enable the feature voluntarily, with it remaining disabled by default.