Very good point. See something similar talking to founders with very specific hard problems to solve – they test each new model for the ability to churn through their list of unsolved problems. In both cases, completing work v making work.
AUTOMATION
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Anthropic CEO observes a $62k YouTube strategy leak
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El CEO de Anthropic viendo que un tipo usó Claude para construir un sistema de YouTube de +$62,000/mes y acaba de filtrar toda la estrategia GRATIS https://t.co/pXx0sWiGbZ pic.twitter.com/Yj0FgC6PzP
— Nico (@nicos_ai) 19 juin 2026Anthropic CEO seeing that a guy used Claude to build a YouTube system making over $62,000/month and just leaked the entire strategy for FREE
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Firecrawl’s Prometheus Agent Writes Scraper Code from Requests
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Firecrawl launched a Forward Deployed Agent for web data!
— Sumanth (@Sumanth_077) 19 juin 2026
Prometheus is an experimental agent that turns plain-English data requests into working scraper code. You describe what you want, it writes a TypeScript collector using the Firecrawl SDK, runs it against the live site to… https://t.co/Zz1OKvGplh pic.twitter.com/9HrDEk1xjtFirecrawl launched a Forward Deployed Agent for web data! Prometheus is an experimental agent that turns plain-English data requests into working scraper code. You describe what you want, it writes a TypeScript collector using the Firecrawl SDK, runs it against the live site to
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AI capturing tribal knowledge eases operators, scales adoption exponentially
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When AI acts as expert knowledge base capturing retiring tribal knowledge and makes operators' jobs easier, adoption scales exponentially.
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AI must bridge gap between algorithms and experienced operators
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AI must bridge the gap between algorithms and operators with 20-plus years of domain experience dealing with dynamic plant situations.
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The Canonical Affirmation: The Six Steps of the GoalOS Cycle
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The canonical affirmation: 1. GoalOS defines what must change.
2. Agents attempt the change.
3. Evidence demonstrates what happened.
4. Evaluation determines what worked.
5. The Proof Gradient determines what can propagate.
6. The Register -
AI’s Surprising Capabilities: Tattooing, Cocktails, Fashion, Whiskey, Pop Star
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AI can tattoo you, mix your cocktail, model fashion, blend whiskey, and even become a pop star.
— Bernard Marr (@BernardMarr) 19 juin 2026
In this video, I walk through some of the most surprising AI capabilities appearing right now, from robotic tattooing and robot bartenders, to digital humans used in fashion… pic.twitter.com/3wbJ66mjrvAI can tattoo you, mix your cocktail, model fashion, blend whiskey, and even become a pop star. In this video, I go through some of the most surprising AI capabilities emerging right now, from robotic tattooing and bartenders
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Claude AI Agent Integration Turns Jira into the Ultimate Source of Truth
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THEY FINALLY DID IT. THEY PUT CLAUDE INTO JIRA. @Jira isn’t the shiny new thing. but that’s exactly why this matters. Millions of devs live in Jira every day because it’s the ultimate source of truth. The new @ClaudeAI Agent integration turns Jira from the place where work
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Claude Fable’s 5 signature move still works on Opus 4.8
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Claude Fable's 5 signature move still works on Opus 4.8 today: you hand it the whole job instead of babysitting each step. Opus is online, half the price, ready right now. I run it daily.
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Kimi Work’s Goal Mode enables 24/7 autonomous AI desktop agents
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Kimi Work’s new Goal Mode is a game-changer for AI automation.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 19 juin 2026
🔹 Your desktop AI agent runs 24/7 on a high-level goal until the task is complete.
🔹 It plans steps, browses tabs, reads files, and builds outputs autonomously.
🔹 No more prompt-chaining or manual tool… pic.twitter.com/asRDatCot5Kimi Work’s new Goal Mode is a game-changer for AI automation. Your desktop AI agent runs 24/7 on a high-level goal until the task is complete. It plans steps, browses tabs, reads files, and builds outputs autonomously. No more prompt-chaining or manual tool