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6. 无限不等于全部 无限使用只针对 GPT-5.6 Luna 的文字对话。 这些仍有上限： • 文件上传 • 图片生成 • 其它 ChatGPT 工具 推送可能是逐步进行的，如果你的账号还没有 Luna 或 Think，更新 App 后再看看。

📢 GPT-6.1 Sol Is Now Live on An upgrade to GPT-6 Sol, GPT-6.1 Sol is built for complex software engineering, computer use, and professional workflows. OpenAI positions it as nearly matching GPT-6 Astra on agentic coding, computer use, and professional work, at about 1/5 of Astra’s standard input and output token prices. It supports a 1.05M-token context window, up to 128K output tokens, 5 reasoning levels, prompt caching, and Multi-agent delegation (Beta) via the Responses API. Now available on API and Web Chat. 👉 Try now: 🔗 Learn more:

之前mole cli的第一版使用了一次，只能清理一点点，清理的不干净，体感上不如柠檬清理 最近看到博主 @HiTw93 一直在更新，直接下载GUI一试，被惊艳到了，对开发者太友好了，可以扫到一些gemini，rust以及一些模型缓存 体验5分钟，必须得支持一波 然后体感上有个小问题，为什么有些不能右键清理？

Just a PSA for people attending @TOKEN2049 in Singapore: if your first ever message to a new connection is asking for a coffee catch-up during the busiest week of the year in crypto, you're doing it wrong. If we're not already talking in the weeks or months leading up to TOKEN2049, you're probably not that important to me, and I'm probably not that important to you. 😐 We have no rapport and no established context to discuss anything material. It's essentially a gamble. 30mins coffee chat is easily 1 hour+ per meeting accounting for the traffic. An hour during the week of TOKEN2049 is a lifetime. I'm not gambling away my time. So stop asking. That's what side events are for. I'm happy to meet absolutely anyone and everyone there. We both have the liberty to determine whether it's worth having a 15-second chat, a 5-minute chat,a 1-hour chat, or a 4 hours of event-hopping finishing the night at Marquee before eventually becoming each other's BFFs. Yeah, you get the idea. This year, I'll be speaking at TOKEN2049 on both days, and I've put aside time to meet and greet everyone at our booth. I'll also be speaking at @CoinFerenceX x @_TheBestEvent on the 5th: And HSC Asset Management Conference by @mpost_io on the 8th: I'll also be at @BingXOfficial's after-party on the 7th with DJ Soda. It's not a time for business pitches though. It's a time for a bit of celebration for those who've stuck around and hustled through the lows, so we can come together and enjoy the moment. All are welcome: Hope to see you all next week!

这是纯宝藏：20 个 AI agent 技能，覆盖从构建到上线的完整闭环。 规格、架构、agent、后端、数据、UI、测试、安全、分析、交付。 定义任务 1. bmad-spec 把想法变成结构化的规格。 2. domain-modeling 为系统里的核心概念和关系建模。 3. codebase-design 规划代码库该怎么组织。 4. google-agents-cli-workflow 用 Google Agents CLI 搭建 agent 工作流。 5. prompt-optimizer 改进和打磨 prompt。 构建系统 6. google-agents-cli-adk-code 用 Google 的工具构建 agent 代码。 7. mastra 构建 AI agent 系统的技能。 8. typesafe-ai 用更强的类型安全构建 AI 工作流。 9. fastify-best-practices Fastify 后端的更好模式。 10. neon-postgres 使用 Neon + Postgres。 让它可用 11. prisma-database-setup 用 Prisma 搭建数据库层。 12. clerk-orgs 加入组织与认证工作流。 13. emil-design-eng 改进产品设计和前端执行。 14. review-animations 审查并改进 UI 动画。 15. remotion-best-practices 构建更好的程序化视频工作流。 验证真实效果 16. playwright-cli 测试真实浏览器路径。 17. semgrep 扫描代码库的安全问题。 18. sentry-fix-issues 发现并修复生产环境问题。 19. instrument-product-analytics 追踪用户在产品里实际做了什么。 20. email-best-practices 改进产品邮件流程。 这个闭环： 想法 → 规格 → 架构 → 构建 → 浏览器测试 → 捕获失败 → 衡量用户 → 改进下一个版本。 找出你项目里最大的瓶颈，先装上能攻克它的那个技能。 收藏这条，为你的产品建一个第二大脑。

1/ Salesforce 约 20 亿美元收购 Listen Labs。 这家公司成立还不到 3 年，累计融资不足 1 亿美元。 创始团队预计分走约 11 亿美元，投资人用 9600 万美元本金赚取约 8.5 亿美元利润，综合回报接近 10 倍。 这笔钱最终流向了谁？👇

Tokenized Stocks Are Being Won by Distribution As per @tokenterminal , Tokenized stocks stood at $3.56B in the week of Sep 21, up 65% from $2.16B in the week of Jun 29. That is roughly $1.4B added in 12 weeks, going into Q4. @Ondo Finance leads with 25.9% and $928.7M. xStocks follows at 23.8%, @binance bStocks at 20.6% and Securitize at 12.4%. The top four issuers hold 82.7% of the market Ondo's lead is 2.1% over xStocks and 5.3% over bStocks. That makes it the leader in a three-way race rather than a dominant player. @BNBCHAIN holds 29.5% of the market at $1.1B. Ethereum is at 21.5%, Solana at 20.2% and Avalanche at 11.9%. Arbitrum (5.6%), X Layer (5.0%) and Robinhood Chain (4.1%) make up the next tier, and Base is at 1.0%. Binance bStocks at 20.6% of $3.56B is about $734M. If bStocks sits on BNB Chain, roughly 70% of the chain's value is the exchange's own product. It reflects where an exchange with a large existing user base chose to issue, Ethereum and Solana are split across Ondo, xStocks, Securitize and others, and none of those issuers has a single distribution channel of Binance's size. Robinhood Chain at 4.1% and Robinhood as an issuer at 4.9% follow the same pattern at a smaller scale, with a broker issuing on its own rails. Bunt's POV Ondo's 25.9% is the most exposed number in this dataset. Exchange-native issuers grow with their own user base, and Ondo has to win through partners it does not control. I believe the Q4 test is whether Ondo holds its share while the total keeps expanding. If exchange-native issuance takes the share instead, the chain leaderboard will keep reflecting distribution rather than infrastructure.

1/ 如果一家新的 AI 实验室需要 GPU，业内人最推荐谁？ Chris Barber 发起了一轮投票： 15 票：SF Compute 11 票：CoreWeave 10 票：Modal、Nebius 9 票：Lambda 5 票：Fluidstack 4 票：RunPod 3 票：Crusoe、Together AI 2 票：Baseten、Google Cloud、Oracle、Ornn

The trio that helped make WNBA Playoff history 🤩 JJ, Stewie, and Sab all worked their way to the 2-0 victory for the @nyliberty squad in the First Round, defeating the top seed, the first time in W history where a No. 8 seed to overcame a No. 1 seed! Jonquel Jones: 21 PTS | 13 REB | 9-14 FG Breanna Stewart: 21 PTS | 5 REB | 4 AST | 2 STL | 2 BLK Sabrina Ionescu: 18 PTS | 7 AST | 4 3PM | 2 STL 2026 WNBA Playoffs presented by Google Pixel | @madebygoogle