01.AI secures hundreds of millions of yuan in investment from Hangzhou state-owned capital, pivoting from training its own large models to helping enterprises monetize AI.

Ethena announced on social media that USDe’s reserve proofs are typically provided weekly by independent third-party verification institutions, including leading firms such as Chainlink and Llama Risk. In light of events over the past few hours, the protocol has released an updated reserve proof. Each of the aforementioned independent third-party institutions has confirmed that USDe remains overcollateralized, with excess collateral exceeding $60 million and a collateralization rate of over 101.0%. No funds backing USDe are directly held on Binance or any centralized exchange.

According to Whale Alert monitoring, 172,175,782 USDT (valued at approximately $172,075,748) was transferred from an unknown wallet to OKX.

Beating AI News (Dongcha) — Brain-computer interface firm Sabi has unveiled a new study titled RLNF (Reinforcement Learning with Neural Feedback). In the demo, an AI-generated face evolves continuously, gradually transforming into a shape more aligned with the viewer’s aesthetic preferences. Researchers aim to enable AI to learn individual preferences from brain signals, eliminating the need to repeatedly ask users which images they prefer. The team first had 5 participants view a large number of faces, while recording their electroencephalogram (EEG) and eye movements, and asking them to rate each face’s attractiveness. Using this data, the AI learns the physiological responses each person exhibits when viewing faces they like or dislike, building a model of individual aesthetic preferences. Subsequently, researchers used the preference data to fine-tune the FLUX.2 Klein 4B image model via reinforcement learning. Each time the AI generates a new batch of faces, the system compares them to previously recorded faces and delivers rewards based on individual preferences inferred from brain signals. The model adjusts continuously based on these rewards, gradually learning to generate faces that better match a specific user’s aesthetic, with no need for participants to rate each image individually throughout the process. Previous studies have used EEG feedback to guide AI in generating faces people like. Sabi, however, applies this feedback to reinforcement learning for image models, allowing individual aesthetics to directly influence the model’s generation tendencies. That said, the experiment currently only has 5 participants, with the preferences of 2 of them being judged primarily via eye movements rather than direct identification from brain activity. More experiments are needed to confirm that EEG can reliably reflect individual aesthetic preferences.

Binance co-CEO He Yi stated in a social media post that Binance’s deposit services remain unaffected and continue to operate normally. The exchange’s team is currently optimizing and upgrading its withdrawal services and related address controls, with withdrawal services expected to resume within the next 48 hours.

According to Farside Investors' monitoring, yesterday (October 29) saw a combined net inflow of $17.2 million into U.S. spot Bitcoin ETFs. Among them, BlackRock’s IBIT recorded a net inflow of $12.8 million, Fidelity’s FBTC $10.5 million, Bitwise’s BITB $8.8 million, and MSBT $4.2 million. Grayscale’s Mini BTC ETF posted a net outflow of $15.3 million, while BTC ETF saw a $3.8 million net outflow. ARKB, BTCO, EZBC, BRRR, HODL and GBTC registered zero net capital flows for the day. Separately, U.S. spot Ethereum ETFs saw a net outflow of $105.5 million yesterday. Breakdown: BlackRock’s ETHA recorded a net outflow of $71.7 million, ETHB $15.6 million, Grayscale’s ETHE $15.5 million, and Grayscale’s Mini Ethereum ETF $5.6 million. Fidelity’s FETH posted a net inflow of $2.9 million, with all other products showing zero capital movement.

Prediction market platform Polymarket’s international site suffered a breach of a third-party service provider, leading to stolen funds from some users. The platform has publicly pledged to fully compensate affected traders and filed a report with law enforcement; its U.S.-based operations were not impacted. On-chain analytics show roughly 710 wallets, totaling about $2.7 million, had funds transferred out. Per CNBC, users with losses under $10,000 will have their funds restored directly by October 30; those exceeding this threshold must sign a release (settlement/liability waiver) document before receiving compensation. Some users shared protocol screenshots, alleging that large-compensation claimants were also required to submit identity information prior to payouts. While the platform verbally committed to making users whole, the written terms appeared to function as a "no-sue" receipt first. The official tweet did not disclose the full contract text.