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新东西又出来了 吃上一口!出本了💰,利润放一段时间感觉可以拿一下,可以说是pump+hyperliquid杠杆融合体不为过!希望能起立 alt估计要拉到20m才能出个圈!新的东西持续玩玩!! 继续刷 @variational_io 直到tge!!!!坚持!!领 $river 继续去质押,昨天发现年华好像挺高的238%???再细看一下不过给的⚠️是分不是币哈哈!😆 行流动性还是差,🐻怎么熬过?我的是链上eth是一个不动稳稳吃apy和lp实时调整!另外bn okx htx cex基本是我常用的,bn @binance 的资金先不动放着,总体说玩的还是有创新也有。 不过OKx的账户要整合下资金,因为okx @okxchinese 太过“合规”想要创新产品有点难,okx之前的朋友也离职了后续也没什么人来维护算球了,没有信任的人跟踪我资产是不会长期放一个地方的,🐻市在囤e和b的过程中我想也要好好的吃apy!不能浪费资金使用率!眼下还有几个okx账号算算几个btc+一些散u,也汇总全部转移到 @HuobiGlobal 做 $usdd 理财,有人跟踪维护,还是值得信任(⚠️小道消息可能会有创新的产品或者玩法)躺着期待一下!😴7-8月感觉市场流动性能回来! 美股还得🐲 头几个,在 $mu 和 $amd拿到了利润!决定再加持一个 $crcl!看到200! 储能芯片慢慢增长,很多都n倍了!下一个风口会是哪里? 孙哥说了 @sunyuchentron ai+机器人。要不了几年人力将会全面覆盖!供需关系大了,自然飞快增长!找些合适埋伏的🦴干进去!你们觉得有什么票能埋伏的推荐下么!我也抬上几手! e家军,也是时代的改变者!!每天囤一点,开心一整天!
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5.15梭哈晨报: 恭喜昨天在盘前干 $CBRS 的人了,都tmd50%接近了,当然如果开盘后fomo的恭喜了,已经没了20%了。 1. bitcoin:native 昨晚还觉得很难上80000,没想到挂的81666都成交了,只能说美股热情溢出来了; 2. ethereum:native 表现一般,E/B汇率对继续跌了; 3. solana:So11111111111111111111111111111111111111112 能稳住已经很厉害了,毕竟末日战车的威力; 4.英国议员法拉奇因未申报 Tether 投资者 500 万英镑礼物遭议会调查; 5.美国参议员沃伦要求美国 SEC 调查特朗普家族的加密货币公司; 嘿嘿嘿嘿!!!! 6.Aave 升级漏洞赏金计划:V4 及 Core V3 关键漏洞赏金上限提升 5 倍; 我记得一开始钱就很少,提高了应该还是很少,不如黑一次赚得多; 7.芝商所拟于 6 月 8 日推出 Nasdaq CME Crypto Index 期货; 8.《Clarity Act》获美国参议院银行委员会通过,将提交参议院全体表决; 只是委员会通过了,还要参议院呢兄弟们,别高兴太早了; 9.Bitwise 的 Hyperliquid ETF 将于本周五在纽交所开始交易; 10.美联储铁杆鸽派理事米兰宣布辞职; 11.Sharplink CEO:代币化正加速进入传统金融,以太坊长期或与比特币走势分化; 12.摩根大通第一季度大幅增持比特币 ETF,IBIT 持仓暴增 174%; 13.Strive 永续优先股 SATA 将于 6 月 16 日起每日派发现金股息,创美股历史先例; 14. TownSquare 宣布推出 1 亿美元的 USD1 稳定币流动性计划; 15.Coinbase 成为 Hyperliquid 上 USDC 官方国库部署者并获 USDH 品牌资产购买权; 持续看多 $HYPE ?一觉起来怎么一堆人冲hype的meme了😧; ------------ 枯坐的人有福了,半夜都有好东西玩,珍惜珍惜还是珍惜时间吧,机会就那么多,错过一次就少一次了,可惜我晚上都要睡觉😭。 #Bitcoin# #Ethereum# #Solana# #Crypto# #NASDAQ#
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Xi Jinping dejó al planeta con la boca abierta. En un banquete con solo 47 invitados, el presidente chino miró a Trump y soltó sin filtro: “Trump está haciendo a América grande de nuevo.” Sí, leíste bien. El líder del Partido Comunista Chino recitó el eslogan MAGA en público. Trump convirtió a Xi al MAGA. Xi continuó con un discurso épico: “En el 250 aniversario de la independencia de Estados Unidos, los más de 300 millones de estadounidenses están revitalizando el espíritu de patriotismo, innovación y emprendimiento, e inaugurando un nuevo capítulo en la historia de la nación.” Y remató: “Los pueblos de China y Estados Unidos son dos grandes pueblos. La gran revitalización de la nación china y hacer a América grande de nuevo pueden ir de la mano. Podemos ayudarnos mutuamente a triunfar y llevar prosperidad a todo el mundo.”
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Third stop: Melaka!!! ❤️🇲🇾
Had to come back for my satay celup 😍 For everyone asking where:
Ban Lee Siang Satay Celup (45-E, Jalan Ong Kim Wee, 75300 Melaka). P/S: Don’t make it TOO famous ok… I still want my table next time 😀
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曾经最火的链游之一 @The_Beacon_GG 终于要发币了…当年熬夜写的那篇文章,至今仍然是我在律动阅读量最高的文章之一… 这么多年了,灯塔也没跑路。TreasureDAO 都倒闭了,活动我打了两季了,市场最艰难的时候,0.115E 一个的卷轴我打了。 5 月 25 号,发币前的最终季要来了。用我的推荐码预约最终季游戏资格,可以拿 50 个 Gobloonz + 1 个 Umbra Chest。
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Westwell and Hutchison Ports Sohar have officially launched 15 intelligent E-Trucks into commercial operation. Moving from agreement to full deployment in 2025, the project marks a key milestone in port electrification and AI-powered terminal logistics transformation.
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As vezes entro no twitter e sinto que todo mundo descobriu o segredo pra ter dinheiro infinito e eu fiquei de fora
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Announcing agentic performance benchmarking for Speech to Speech models on Artificial Analysis. We use 𝜏-Voice to measure tool calling and customer interaction voice agent capabilities in realistic customer service scenarios Even the strongest Speech to Speech (S2S) models today resolve only about half of realistic customer service scenarios end-to-end - a meaningful gap relative to frontier text-based agents on the same tasks. Voice channels introduce significant complexity: challenging accents, background noise, and packet loss, all while requiring fast responses, consistency across long multi-turn conversations, and reliable tool use. Performance also varies considerably by audio condition: in clean audio some models perform notably better, but realistic conditions continue to pose a challenge. Conversation duration also varies meaningfully across models, with implications for both customer experience and operational cost. About 𝜏-Voice: Our Agentic Performance benchmark is based on 𝜏-Voice (Ray, Dhandhania, Barres & Narasimhan, 2026), which extends 𝜏²-bench into the voice modality to evaluate S2S models on realistic customer service tasks. It measures multi-turn instruction following, support of a simulated customer through a complete interaction, and tool use against simulated customer service systems. The simulated user combines an LLM-driven decision model with realistic audio synthesis: diverse accents, background noise, and packet loss modelled on real network conditions. This complements our Big Bench Audio benchmark measuring intelligence and Conversational Dynamics (Full Duplex Bench subset) benchmark measuring conversational naturalness. Scores are the average of three independent pass@1 trials. We evaluate under realistic audio conditions using the 𝜏²-bench base task split across three domains: ➤ Airline (50 scenarios): e.g., changing a flight, rebooking under policy constraints ➤ Retail (114 scenarios): e.g., disputing a charge, processing a return ➤ Telecom (114 scenarios): e.g., resolving a billing issue, troubleshooting a service problem Task success is determined by deterministic checks against expected actions and final database state, consistent with the 𝜏²-bench evaluator. Key results: xAI's Grok Voice Think Fast 1.0 is the clear leader at 52.1%, averaging 5.6 minutes per conversation, the second-longest overall. OpenAI's GPT-Realtime-2 (High) (39.8%, 3.0 min) and GPT-Realtime-1.5 (38.8%, 4.8 min) follow, with Gemini 3.1 Flash Live Preview - High close behind at 37.7% (3.8 min). Speech to Speech is a fast evolving modality and we expect movement in rankings as we continue to add new models with these capabilities, and model robustness improves. Congratulations @xAI @elonmusk! See below for further detail ⬇️
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吐个槽,半年前就想整理以前各个热钱包了,到现在都没整理,懒得上...这种执行力差的根源是不把钱包的钱当钱吗?但其实也不是很少,不少钱包少的也有几个E,多的也有十几万美金,我好几年前撸毛,账户都放2-5个E,强迫症(见笑了,撸毛的肉没吃到过)。今天聊到好久没健身,下午立马就去了,结果卡过期了
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