RT Tabi 💢 中文区 (@tabichaincn)💢突击检查头上戴的是什么SBT，说出名字！ https://t.co/NWE728aRGb ...

Project Overview - Yala Genesis SBT is conducting a lottery with a total of 2,000 units, allocating over 1,000 whitelist spots [1] - Obtaining the SBT requires depositing funds later [1] - Interaction and registration through a specific link increases the chances of winning one of three whitelist spots [1] SBT Utility - Provides U Card qualification, offering automatic interest on BTC or USDC deposits [1] - Grants access to future rights and rewards within the Yala ecosystem [1] Project Activity & Potential - Previous gold vault deposit event reached its 1 million limit rapidly [1] - Yala's own YAP activity is generating significant interest [1] - Project's popularity is increasing, suggesting the TGE (Token Generation Event) may be approaching [1] Lottery Requirements - Join using the provided link [1] - Follow @yalaorg & @Palace86_xyz on Twitter [1] - Comment and retweet [1]

RT LunaMoon | Tabi 💢$M | 🐜 OpenLedger🐙🖐 ✦ 🇰🇷 (@jeong_alone)Tabi SBT 자격을 얻어보자.1. https://t.co/9qV3QKFIyHX 계정 연결프로필에 💢이모지 들어간 이미지로 변경X 프로필에 " | Tabi 💢" 넣기@Tabichain @Tabizens @Lfuckjpg @Momoxu7 @LinkeysB @Momoa_crypto @charis_em @kaitoAI@Tabichain #TABI #Tabizen #iraira👇 https://t.co/kjgtX6HUUZ ...

Crypto may finally be going mainstream, spurred in part by the billion-dollar public debut of Circle, the issuer of stablecoin USDC, and the passage of the stablecoin legislation drafted by the Senate, dubbed the Genius Act. The yays are 68, the nays are 30. The bill, as amended, is passed.Big finance players are getting in on the action. Coinbase, which earns half of the revenue generated by USDC, launched a new partnership with payment platform Stripe and e-commerce giant Shopify to bring USDC payments to ...

ZJU REAL Lab 投稿 量子位 | 公众号 QbitAI DeepSeek-R1、OpenAI o1等推理模型大放异彩。但随着能力增强，一个副作用越来越明显—— 这不光影响效率，更可能导致错误 —— 在长链式思考中，每一步的小误差都会累积放大 ，最后可能想着想着就跑偏了。 于是，一个关键问题摆在了现实面前： 如何让模型既然会思考推理，也懂得"适可而止"，知道什么时候该停下来？ 针对于此，来自浙江大学、天津大学和MSRA的研究团队提出了一个新方法， Self-Braking Tuning （SBT） 。 它是一种轻量级、通用的调优机制，可无缝集成到现有大模型中。其主要目的是让模型不再一味求"多想"，而是在最短路径上到达正确答案。 其核心设计包括刹车信号机制、多任务微调，且无需外部模块或改动推理流程。 其中，刹车信号机制是在训练阶段引入一类特殊的信号，指示"当前信息已经足够完成任务"，模型据此学习何时应终止推理。 多任务微调则指挥模型同时学习如何解题&何时停步，兼顾准确性与效率。 它们开始想太多了 。 从奥数题到程序逻辑，能解的题越来越多、推理链条越来越长。 也就是说，模型在完成推理任务时， 常常出现过度 ...