Belarus Approves Registration of Its First Two Crypto Banks

Ondo Perps CEO David Wells noted that the U.S. perpetual contract market holds a "huge opportunity," and it is "meaningful" for Ondo to explore this space. However, he did not confirm whether Ondo will launch perpetual contract products in the U.S. Perpetual contract offerings tailored for the U.S. market may differ from those Ondo provides outside the U.S.

Insight Beating AI News Flash: French AI firm H Company has launched its Computer Use model Holo4, available in two variants: 27B and 35B-A3B. The 27B version is built on the Qwen 3.8 Dense architecture, while the 35B-A3B variant underwent post-training based on the Qwen 3.5 MoE architecture. H Company has focused on enhancing computer operation and long-task execution capabilities, refining its general-purpose model into an Agent model specifically designed for Computer Use. During the supervised fine-tuning phase, H Company utilized a total of 127 billion tokens, roughly three-quarters of which were successful Agent operation trajectories covering desktops, web, mobile, MCP, and APIs. The team then conducted reinforcement learning, training two sets of specialized capabilities separately: one for "desktops and web" and another for "terminals, MCP, and APIs", before merging both into a single model. The company also generated around 10,000 custom software operation tasks to train for cross-application and long-process workflows. H Company further rebuilt its Agent harness, allowing the model to retain memory of prior operations across hundreds of task steps and directly call the computer’s shell. The improvements are most pronounced in long-task performance. Benchmark results show Holo4 27B scored 61.7% on OSWorld 2.0, compared to Qwen 3.8-27B’s official score of 48.0%. On standard OSWorld, Holo4 achieved 85.2%, versus 84.3% for Qwen 3.8-27B. However, the harness, task versions, and evaluation settings for these results are not fully aligned, so they cannot be treated as strictly controlled, same-condition comparisons.

Insight Beating AI News: ElevenLabs has released its next-generation voice models, Eleven v4 and real-time version Eleven v4 Turbo. The v4 model focuses on more natural emotion and voice control, while Turbo is tailored for real-time voice agents with a median inference latency of around 100ms. In Artificial Analysis’ latest TTS blind test leaderboard, Eleven v4 currently ranks first with 1315 Elo points. Cartesia Sonic 3.6 follows at 1275, Gemini 3.8 Flash TTS at 1267, and Qwen-Audio-3.0-TTS-Plus at 1258. The previous-generation Eleven v3 only scores 1169 points, placing 17th. While v3 already supports audio tags like laughter and whispers, v4 refines this control significantly: users can directly specify tone, rhythm, emotion, and sound effects, or describe how a sentence should be spoken in natural language. The model has also expanded language coverage from over 70 to more than 90 languages, its Instant Voice Clone now requires only about 10 seconds of audio, and it enhances voice consistency in long texts and multi-person conversations. Turbo is specifically designed to solve speed issues in real-time dialogue. Official documentation shows that the median inference latency of v3 Conversational is around 280ms, while v4 Turbo reduces this to approximately 100ms.

According to Coinglass data, as Bitcoin posts a minor rebound today, funding rates on major centralized (CEX) and decentralized (DEX) crypto exchanges show the market has returned to neutral-skewed bearish territory. Specific funding rates are detailed in the attached chart. BlockBeats Note: The funding rate is a mechanism set by crypto trading platforms to align perpetual contract prices with their underlying asset prices. It acts as a fund exchange between long and short traders, with no fee collected by the platform. It adjusts the cost or return for traders holding contracts, keeping contract prices closely tied to the underlying asset. A 0.01% funding rate is the benchmark. Rates above 0.01% signal broad bullish sentiment, while rates below 0.005% indicate general bearishness.

CryptoRank data shows that in Q3 2026, decentralized finance (DeFi) total value locked (TVL) rebounded to $95 billion after three consecutive quarters of decline, marking the first quarterly growth since its 2025 peak. Monad’s TVL surged 183%, propelling it into the ranks of leading blockchain networks by TVL. Robinhood Crypto, which launched just two months ago, has seen its TVL top $1 billion.

According to monitoring by ai_9684xtpa, after Bitget enabled ETH withdrawals, its associated ETH hot wallet saw a sustained outflow of ETH, followed by inflows, and its current balance has slightly exceeded the initial level before withdrawals were opened. The observer noted that address 0xED9…18771 is suspected to be the hot wallet Bitget prepared for handling this round of ETH withdrawals. Before withdrawals went live, this address held approximately 30,000 ETH; within half an hour, it experienced continuous outflows, dipping to around 25,000 ETH at one point, after which ETH inflows resumed. ai_9684xtpa speculates that two factors drove the ETH return: first, the prior resumption of BTC withdrawals had reassured users about Bitget’s withdrawal reliability, and second, Bitget’s ETH PoolX campaign (where users lock ETH to split airdrops) likely also contributed to the ETH inflows.