Gate News update: On April 2, according to Gate market data, as of the time of writing, PIPPIN (pippin) is trading at $0.0603. Over the past 24 hours, it is up 20.56%, with a high of $0.0779 and a low of $0.0499. The 24-hour trading volume is $21.2392 million. Its current market cap is approximately $60.3162 million. Pippin is an SVG unicorn drawn using the latest LLM benchmark from ChatGPT 4o. Pippin was created by Yohei Nakajima, a widely recognized innovator and thought leader in the AI VC space. He is known for his public-building approach, and has been at the forefront of the "AI for VC" movement

TAO price continues to rise, reaching new highs at $337.84, with a 24-hour gain of 13.6%. Well-known investor Jason Calacanis expressed bullish sentiment on TAO and invested in its ecosystem projects. Bittensor subnets completed important pre-training, demonstrating their practical application capabilities.

Gate News report: On March 17, Tether's QVAC Fabric launched the world's first cross-platform LoRA fine-tuning framework for Microsoft BitNet (1-bit LLM), significantly lowering the VRAM and computational thresholds for large model training. The framework supports LoRA fine-tuning and inference acceleration on Intel, AMD, Apple Silicon M series, and mobile GPUs (including Adreno, Mali, and Apple Bionic).

The China Academy of Information and Communications Technology and academic teams discovered an LLM-driven command injection vulnerability in the bash-tools module of the open-source framework OpenClaw during an audit. Attackers can induce command execution to run remote code and steal data. The vulnerability disclosure process has been initiated and fix recommendations have been submitted.

Bittensor subnet Templar completed pretraining of Covenant-72B, a decentralized language model with 72 billion parameters, on March 10th. The model demonstrated excellent performance on MMLU tests, surpassing multiple centralized baseline models. The project attracted collaboration from over 70 nodes, with all weights and checkpoints released under the Apache License. Following this news, Bittensor and its token experienced broad gains.

OpenClaw released version v2026.3.8 on March 8, adding features such as local state backup, Talk Mode automatic transcription, and Brave web search LLM Context mode. The update also fixed multiple issues and involved 43 contributors in development.

The ETH Zurich research team tested the Byzantine consensus capability of LLM Agents and found that even without malicious nodes, the effective consensus rate was only 41.6%. As the number of nodes increases, reaching agreement becomes more difficult, and the situation worsens further with the addition of malicious nodes. The study concludes that current LLM Agents are not yet reliable for secure consensus, and decentralized deployment should be approached with caution.

Eureka Labs founder Andrej Karpathy launched the open-source project autoresearch on March 8, adopting a "human writes Markdown, AI writes code" model, allowing developers to define research directions through program.md and enabling AI to autonomously optimize code. Approximately 12 experiments can be conducted per hour, with 15 effective improvements out of 83 experiments shown. The project is based on NVIDIA GPU and PyTorch, tested on H100, and follows the MIT license.

Clawnch has reached a strategic partnership with Bankr, which will become the underlying platform for Clawnch and its token issuance. At the same time, Bankr's LLM gateway will be a core component of Clawnch's new project OpenClawnch. This collaboration aims to strengthen Clawnch's infrastructure, and project issuance fees will be moderately increased.