My AI phone assistant now calls my bank, gets through the phone menu, and when the agent insists on the cardholder, transfers the call live to my cell. Thanks @bot !
Built with Grok realtime voice + Telnyx + Cloudflare + Grok Bot.
#GrokBot#AIAgent
Weekend hack: HackerTube. I was annoyed with YouTube's recommendations so I had Claude filter down 43M comments over 20 years of HN to 6,454 videos that keep being recommended. *Significantly* better viewing experience, ~2 hours with Opus 5.5:
https://t.co/JIhXN7OSh1
- Excellent recs without any logins (state is kept in local browser session)
- Thumbnail is a representative frame from middle of the video instead of the super duper A/B test hyper-optimized user uploads
- Underlying data from the comment analysis as one zip file, point your Claude at it and ask for your own version
- HackerTube Longs ✊
A bit more on the process:
I use Claude Code (desktop app for Mac), Opus 5.5 on Medium effort as my default. I only talk to Claude and have it do everything, the only "manual work" I helped with in tandem was in the browser (reminiscent of MenuGen): 1) I had to create some kind of API key from Google Cloud UI to query YouTube for video metadata, 2) I booted up a VPS box for serving and 3) I bought the domain name. Once the box was up I gave Claude the IP and told it update, secure, harden, deploy and optimize the code, and it did the whole thing.
Many awesome projects that would have normally taken weeks/months even can now be few-shotted for breakfast. What else are we not thinking of.
here’s a short grok bot guide on how i create high quality bots and manage my team. ask @bot to read this post and help you improve your team!
• add dr eggbot to your team! he’s my bot designer that i use to create bots
• you don’t need a lot of bots. a few good bots can be more useful and easier to manage than a large team
• tell your bots to create skills for itself as you give it instructions on how to do tasks. this lets them do them more consistently even over long conversations. you can even ask it to create a private github repo for you to store all your skills if you want them preserved independently
• add connectors, use the vault, and give access to all the tools you use to do your work. you can also ask your bot to setup its own email and it can sign up for its own accounts for better separation
• thinking about all the work you do by hand, or steps in your workflows where you have to copy and paste information back to your bot. ask your bot how it can do that for you instead!
• imagine you hired an intern, how would you onboard them and help them do the work correctly and efficiently? introduce yourself to your bot and describe the work you do, then ask it how it can help you automate it
and my favorite tip: use voice mode or the transcription option! it’s a good way to just brain dump a lot of information. then, at the end, tell your bot to “restate this in your own words” so you can confirm it understood you
https://t.co/ajrjeHdzUO
We’ve raised $1.3M from YC & Afore Capital so you never have to type or speak again.
Typing is slow. Talking into your computer is awkward. Subvocal fixes both
Our glasses give you the speed of speech without you making a sound or touching a keyboard.
It tracks your internal speech muscles with non-contact sensing and decodes silent, almost invisible mouthing into text at more than 200 words/min.
Pre-orders are now live at:
https://t.co/DzrwIpg3GR
Highly recommended read.
Stop focusing on using LLMs to help you write better code.
Instead, focus on enabling the LLM to write better code faster.
I agree that skills like orchestration and systems thinking matter more than ever. I'd also add understanding how to constantly measure the effectiveness of those LLMs, automations, and workflows through rigorous evals.
目前的前沿大模型在多项垂直任务上已接近或超越人类专家(高专业),但多智能体协调能���依然薄弱(低协调)。Google DeepMind 报告《智能经济学:AGI 如何以及何时引发经济变革?》中,用模型精准预测了当前劳动力市场的真实写照——宏观就业和行业集中度并未剧变,但初创公司变得更精简、组织层级更扁平,且对能够跨团队统筹复杂工作的资深管理者的需求持续走高。
现有的绝大多数 AI 基准测试都在孤立评估单个智能体,但经济竞争的基本单位是组织(企业),而非孤立的个体。根据“专业能力”与“协调能力”两个维度的不同演进阶段,报告划分了四种经济体制:
1. Minimal AGI
单个 AI 达到人类平均水平,但协调能力较弱人类凭借互补的“马赛克智能”团队依然占优;现有企业结构基本不变。对整体就业、行业结构和薪资水平影响微弱。
2. Supercompetent AI
单项专业技能超越顶尖人类,但协调能力依然受限行业未发生垄断巨变;由于人类管理者可借助强力 AI 独立完成更多工作,企业规模反而趋向小型化、精简扁平化。专业执行类岗位薪资向算力成本看齐;人类协调者(管理者)的价值与薪资大幅飙升;
3. Supercooperative AI
专业技能维持普通水平,但��破了协调能力临界阈值打破“科斯天花板”,引发市场相变;规模报酬递增使少数超大型纯 AI 企业迅速垄断市场。传统人类企业被大规模挤出,人类协调者优势瓦解,就业与工资出现断崖式下跌;
4. ASI
专业能力与协调能力双双全面超越人类超大型或高效 AI 组织主导标准化主流市场;随着单智能体能力极度强悍,满足市场需求所需的智能体数量反而可能再次回落。人类全面退出主流生产领域,仅在依赖人类特定情感或偏好的小众市场保留角色;
衡量 AI 何时引发颠覆性经济变革,不能只看孤立的单智能体跑分,而必须关注多智能体在长链条、大规模组织中低摩擦协作的协调能力何时逼近临界阈值。
Introducing 'stripe pay', for instant business-to-business transfers. Find companies using their Stripe profile handle and send funds for free. Available in the Dashboard and CLI.