与「189】佐藤優樹「Ding」相关的搜索结果

【M-line Music#189】佐藤優樹「Ding# Dong」／宮本佳林「Only choice」／譜久村聖 MV撮影の裏側／Bitter & Sweet ご報告 MC 竹内朱莉・川名凜 #竹内朱莉# #川名凜# #ビタスイ# #宮本佳林# #譜久村聖# #佐藤優樹# #ANGERME# #ハロプロ# #mlinemusic#

Arthur Hayes 看跌后市，减仓价值 $2608 万的多种代币。看他推文的意思是先卖掉，等跌到位了再去抄底。 卖出包括： 8,000 $ETH ($1900 万)； 1400 万 $ENA ($276 万)； 32.3 万 $UNI ($224 万)； 189 万 $ETHFI ($123 万)； 54.7 万 $AERO ($40 万)； 12 万 $PENDLE ($24 万)； 300 万 $ZAMA ($21 万)。 地址： -------------------------------------------------------------------------- #Bitget# 来了就是VIP！Crypto、美股、CFD，全球先机一站布局

【俄称鼠疫研究机构一员工确诊不明原因肺炎，近200人被隔离】2026年10月7日，俄罗斯官方确认该国伊尔库茨克州一家鼠疫研究机构的员工确诊不明原因肺炎，该员工已于10月2日死亡，事件引发全球对鼠疫泄漏的担忧，目前病因仍未最终确认。据当地媒体报道，俄罗斯联邦消费者权益保护和公益监督局（罗兹波特雷布纳佐尔）表示，该事件核心涉事工作人员的诊断结果为不明病因肺炎。 当地媒体称，扩大范围的检测并未检出与该工作人员职业工作相关的致病微生物；官方同时表示该地区卫生防疫形势保持稳定。据俄罗斯当地媒体消息，西伯利亚东部的伊尔库茨克地区，近 200 人因疑似接触鼠疫，被纳入医学观察。报道称，伊尔库茨克一所防鼠疫研究所的一名工作人员发病后，共计189 人接受医学监测。邻近的布里亚特共和国负责人阿列克谢・齐杰诺夫在社交平台发文称，该名女性工作人员死于某类鼠疫（具体分型未披露）。俄罗斯联邦消费者权益保护和公益监督局（罗兹波特雷布纳佐尔）周日对外通报：这名工作人员确诊为不明病因肺炎，伊尔库茨克州、伊尔库茨克市及舍列霍夫市的卫生流行病学局势整体稳定。 该局表示，扩大样本检测，并未发现和该名女研究员工作内容相关的致病微生物。俄罗斯电报频道 Mash 周五发布当地媒体消息：这名 27 岁的防鼠疫研究所员工，曾赴布里亚特出差；布里亚特靠近蒙俄边境，当地曾报告出现鼠疫疫源点。该女子返程后疑似感染肺鼠疫。还有另一种说法，她在实验室处理诊断用生物样本时，不慎打碎装有危险致病菌的试管。据阿克西奥斯新闻网周日援引特朗普政府一名官员消息，白宫正在跟进俄罗斯这起疑似病例及相关隔离管控的相关报道。这名官员称，美方政府 “已知晓此事，正在监测疫情发展，并评估应对方案”。向俄罗斯卫生部、莫斯科市卫生局、世界卫生组织以及美国国务院发出置评请求，各方暂未予以回复。

The same model, with the same weights, scores 62% in one agent harness and 33% in another. @adithya_s_k and the @huggingface team just released the ultimate guide to multi-harness RL, and it's one of the most practical RL write-ups this year, and everything open! The trick is simple. Don't touch the harness. Point it at a proxy instead of the model. The proxy speaks all four API formats coding agents use (OpenAI Chat Completions, OpenAI Responses, Anthropic Messages, Gemini). It records the exact token ids and logprobs vLLM sampled, and you train on that. You don't change a single line of Claude Code, Codex or OpenCode. Results: 🔹 Trained across 4 harnesses at once, LFM2.5-2.6B by @liquidai went from 42% to 54% 🔹 31% fewer tool calls, thanks to a small bonus for solving tasks in fewer steps 🔹 Training in OpenCode alone took OpenCode from 34% to 58%, but the multi-harness model improved everywhere They also tried the shortcut everyone reaches for: fine-tune on 3,189 successful rollouts from Qwen3.8-27B. Imitation plateaued at 47.5%, below both RL runs. Copying a bigger model doesn't get you there. Practice does. The best part is that everything is open: the capture proxy in OpenEnv, the trainer in TRL, the tasks, the SFT data, the training code and all seven trained models. Agents will run in dozens of harnesses. Now open models can be trained for each of them, by anyone. Read it here 👇

just applied for a @UniswapFND grant 🦄 we're a small team building Hey Research Lab on robinhood chain. lots of late nights. the idea is simple: price tells you what the market is doing. we want to show what the builder is doing. before asking uniswap for anything, we didn't want to just write a nice proposal. we wanted to actually understand what's on chain. so we read every uniswap v4 hook on robinhood chain. all of them. what we found surprised us: → 24,287 hook contracts → 321,938 pools using a hook → 16 hooks carry 83% of those hooked pools → 1 launch-protocol hook alone sits behind 189,583 of them → 21,508 hooks were used exactly once → 96.4% hook into swaps, 48.1% can rewrite the swap amount → on 15 sep, 5,515 hooks with the exact same permissions appeared in about 8 hours, one pool each → of 1,920 pools labelled "uniswap", only 437 actually came from uniswap's own v2/v3 factories that's when it clicked for us. counting hooks isn't counting builders. somewhere in that long tail are real teams shipping real things on @Uniswap, and right now almost nobody can see them. that's what we want to build. a map of who actually builds here, checked on chain, open for anyone to use. detection is already live. attribution is next. application's in. whether it gets picked or not, we're building this anyway. it's the thing we wished existed when we started on robinhood chain. data read 1 oct 2026 · @RobinhoodApp

九月 @tuttihq 的数据，截到 9 月 30 日： ▸ 累计注册达人 14,269 个，九月新增 3,528。四月的时候总共才 159 ▸ 真正发了帖的 1,431 位，一共 61,601 条，分在 46 场活动里 ▸ 九月达人奖励 $81,480，1,545 个人拿到。本月单人最高 $2,653，累计拿得最多的那位已经 $11,197 ▸ 有效曝光 860 万 ▸ 一个月上了 7 次 𝕏 热榜 ▸ 达人的粉丝里美国占 25%，抽样到的粉丝分布在 189 个国家和地区 十月接着冲。。。

各位AI消费者，GPT 的寿命越来越短，意味着什么？ GPT-1，活了248天 GPT-2，活了469天 GPT-3，活了916天 GPT-3.5，活了104天 GPT-4，活了237天 GPT-4 Turbo，活了189天 GPT-4o，活了290天 GPT-4.5，活了46天 GPT-4.1，活了115天 GPT-5，活了97天 GPT-5.1，活了29天 GPT-5.2，活了84天 GPT-5.4，活了49天 GPT-5.5，活了77天 GPT-5.6，活了56天 GPT-6 Astra，活了19天 GPT-6 Sol，活了7天 GPT-6.1 Sol，刚出生1天

2026年9月23日 bitcoin:native 现货 ETF 单日净增持约 4,189 枚，连续第五个交易日增加，最近七个交易日累计净增持约 2.15 万枚，但单日增持已连续两天下降，回补力度有所减弱。 一个 @Gate ，交易更多市场