MANTRA DAO Initiates Survey Vote to Solicit Feedback on Team Token Burn Execution

According to BIT (bit.com) market data, U.S. stock indexes closed mixed on Friday: the Dow Jones Industrial Average rose 0.46%, the S&P 500 gained 0.05%, and the Nasdaq Composite fell 0.64%. The Philadelphia Semiconductor Index plummeted 4.25%. For individual stocks: SanDisk dropped over 10%, Coherent fell more than 9%, SK hynix declined over 8%, and Kioxia ADR slumped over 14%. Additionally, chip stocks including Marvell Technology, Intel, Western Digital, and Micron Technology all saw notable declines. Tesla fell more than 2%, bringing its weekly loss to nearly 18%—its largest single-week drop since 2022. SpaceX’s share price continued to hit new lows, with a weekly decline of over 7%.

The World Foundation(@worldcoinfnd) raised $52.5M by selling $WLD. On-chain data shows it transferred out 217.4M $WLD, suggesting a sale price of $0.2415 per $WLD. At the same time, the World Foundation has received 47.5M $USDC.

AMD has announced the launch of Instella-MoE, a fully open-source Mixture of Experts (MoE) model. Boasting a total of 16 billion parameters with 2.8 billion activated per token, it is claimed to deliver leading performance among open-source language models of the same scale. AMD stated that Instella-MoE was trained entirely from scratch using its own AMD Instinct MI300X and MI325X GPUs, along with the ROCm software stack. It adopts architectural innovations including Gated Multi-head Latent Attention (Gated MLA) and FarSkip-Collective to enhance training and inference efficiency. Performance tests show that the base model Instella-MoE-16B-A3B has an average score of 76.7, ranking among top open-source models, outperforming models such as SmolLM3-3B and OLMo-3-7B, and competing with larger-scale models despite activating only 2.8 billion parameters. Additionally, the model supports 64K-token long context processing, and has completed a full training pipeline covering pre-training, mid-training, long context extension, supervised fine-tuning (SFT), direct preference optimization (DPO), and reinforcement learning (RL). AMD is simultaneously releasing all of Instella-MoE’s model weights, training configurations, data ratios, intermediate checkpoints, and inference code to advance open AI model research and reproducibility. The company noted that Instella-MoE demonstrates the capability to train large-scale MoE models based on AMD hardware and its open software ecosystem, and will continue developing larger-scale, more capable, and more efficient open-source language models in the future.

According to Coingecko data, BitMart’s platform token BMX plunged at 19:35 last night, dropping over 60% in one hour and hitting a low near $0.11. It has since rebounded to $0.14, with its 24-hour decline narrowing to 53%. Currently, BMX trades at $0.142, with a market cap of approximately $48 million. BitMart ranks 74th on the centralized cryptocurrency exchange rankings, with a 24-hour trading volume of $1.1 billion. Coingecko assigns BitMart a credit score of 6 out of 10.

According to monitoring by ai_9684xtpa, a whale address (0x854…c775e) opened a 40x leveraged BTC long position at 22:30 last night, investing 603.71 BTC at an entry price of roughly $64,469, with a notional position value of around $38.67 million. The position is currently showing an unrealized loss of approximately $259,000. Additionally, the address has placed limit long orders worth around $31.441 million in the $63,500 to $63,674 price range. If all orders are filled, its BTC long position size will expand to roughly $70.111 million. Data shows that this address previously primarily employed a short-term trading strategy, with positions typically held for just a few hours. This long position size has already ranked among the sixth-largest this year; if all subsequent limit orders are filled, it could become its largest BTC long operation of the year.

The #Trump team transferred out another 10.84M $TRUMP($16.91M) 1 hour ago, likely to be deposited into BitGo and then sent to exchanges. Over the past 5 months, the #Trump team has transferred out 48.25M $TRUMP ($172.4M) in 3 batches. After each transfer, the price of $TRUMP kept falling, dropping more than 66% over that period.