Thugz
502 posts


卧槽, Grok 又出了个黑科技 voice agent, 注册就送一个美国电话号码


Robinhood 最新Meme攻略,从概念叙事到跨链充值,从发射打满到交易工具,看这一篇就够了🪶 1、meme叙事主要围绕着官方、小动物、GME相关概念,混杂着一些reddit 英文梗,核心龙头有几个: $CASHCAT 最高 170M 市值,也是 Robinhood 之前的名字,获得创始人关注和CFO简介提及 $JUGGERNAUT 最高 15M,创始人之前说最喜欢的 Meme,Bonk Guy 和 POW 都参与喊单 $ARROW 最高 35M,今天回落到 16M, RWA 概念龙头 其他1-5M的项目也很多,一个比一个能涨,手快的都在赚了。当然随着大量国人加入也发扬了 #BSC 文化,非常能卷,5k-20k 市值 内盘 P的风生水起 2、跨链充值 在xxyy 选择 Robinhood链,点击充值。Robinhood 的交易代币是ETH,跨链换钱常用工具: stargate.finance relay.link/bridge/robinho… portal.arbitrum.io/bridge 3、发射台 - 大部分高市值代币都来自 @Noxa_Fi Bonding Curve 4.2E 打满,大概40k 市值。同时内盘单个钱包限购 2%,不会卷的太夸张。这种情况想要多买的话,可以配置多钱包买卖 - Virtuals 更关注 AI agent代币,市值上限1M左右 - Flap 昨天出了一个 401k 最高4M市值 4、交易工具 xxyy.io 支持监控钱包,发现趋势、快速交易 挂单、跟单、自动止盈止损,多钱包同时买卖 还有高额返佣+返现,手续费最低 0.5%,助力大家一起赚钱🔥如果本文对你有帮助,欢迎点赞❤️








Codex usage limits will be fully reset again in the next hour and we will credit one additional reset into your bank for your own usage over the next 24 hours. We investigated reports that Codex usage was being consumed faster than expected. There wasn't one central issue, but a few smaller problems compounded for some users. Here's what we found and changed: - Actual usage: Auto-review had become more proactive, another change was triggering more subagent work, and background suggestions could run twice or retry too frequently after failures. We reverted the changes and fixed suggestion scheduling, duplicate generation, and retry behavior. This should reduce unnecessary background token consumption while preserving the work users explicitly request. - Usage reporting: Auto-review was incorrectly appearing as GPT‑5.4 usage, and failed or rate-limited requests were still shown as turns. Auto-review now appears as its own category, and only successful requests count toward the turn graphs. Rate-limited requests were never charged, but they were being displayed incorrectly. - Immediate relief: We reset usage limits while rolling out the fixes, then shipped hotfixes across the CLI, desktop app, and usage backend. - What to expect: New usage data should be clearer and actual consumption should be lower. Historical charts may still show auto-review under GPT‑5.4 because older turn data was not relabeled. Features that intentionally perform more work; such as /goal, subagents, and higher reasoning levels will still naturally use more capacity. All fixes are now deployed, and we've added more detailed monitoring so we can detect background-usage regressions sooner. We'll continue watching the results closely. Thank you for building and doing all sorts of things with Codex.







Some Codex users are seeing a “Selected Model is at Capacity” error. We’re working to resolve it as quickly as possible. Updates: status.openai.com/incidents/01KV…










