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The verdict is in. Elon Musk spent three weeks dragging OpenAI, Sam Altman, Greg Brockman, Microsoft, Mira Murati, Ilya Sutskever, and half the AI family tree through federal court, only for the jury to land on the most Elon conclusion possible: he missed a deadline. As one of my all time favorite movies puts it: he waited⦠| | Okay, letās unpack that: see, what happened was, after a few brief weeks of meme-worthy trial, the federal jury found Muskās claims were filed a few years too late (thereās apparently a 3 year statute of limitations on these claims), and Judge Yvonne Gonzalez Rogers accepted the advisory verdict as the final ruling. | Now, Musk says heāll appeal because the case turned on a ācalendar technicality.ā Read our full deep dive here. | So, in conclusion: Elon kiiiinda wasted everyoneās time⦠or was it the trial itself wasting everyoneās time? I mean, why have a trial in the first place if any old chatbot can look at a calendar and see that itās been longer than 3 years since this beef first went down. | Ah well⦠at least weāll always have this emo rendition of Mira Muratiās now famous ādirectionally very badā texts to Sam Altman⦠| Here's what happened in AI today: | š¼ Four AI stories showed agents leaving the chat box. š° Anthropic acquired Stainless for SDK and MCP infrastructure. š° Pope Leo XIV prepared his first AI encyclical. šŖ OpenShell gave agents a safer private runtime. š Map AI permissions before connecting sensitive accounts.
| ā¦and a whole lot more that you can read about here. | Hey: Want to reach 700,000+ AI-hungry readers? Advertise with us!Ā | | š¼ Four AI stories showed agents leaving the chat box | FULL BRIEF:Ā Read the longer versions in todayās ATH Digest. | Since we did a full deep dive on the Musk vs Altman story, and you probably read all about it yesterday anyway, we wanted to take todayās calm before the Google IO Storm to highlight four cool things we saw today that you might otherwise miss. | Microsoft taught terminal agents to learn from their own failed commands. Odyssey turned video generation toward live worlds. OpenAI asked ChatGPT users to connect bank accounts. And Axios reported that public trust is fraying as AIās impact on jobs, power bills, and local politics are all coming to a head. | Hereās what happened: | | Why this matters: ECHO is about reliability: agents need to understand cause and effect, not merely keep typing until tests pass. Odyssey is about interface: generated media is becoming something you steer, not something you watch. | OpenAIās finance launch is about intimacy. A chatbot with your bank data can give more useful answers, but it also sees the quiet parts of your life: habits, stress, obligations, and risk. And the AI backlash story is about permission. AI companies need data centers, power, jobs, users, regulators, and communities to keep saying yes. From the general publicās perspective, that yes is getting harder to earn. | Our take: The next AI race is now all about trust and delegation. Agents are powerful but how do we really get them to act reliably? Can they simulate stable environments people want to use? Can they handle sensitive context without creeping everyone out, or worse, spilling all your secrets in a supply chain attack or government mandate? | And can the industry build fast without turning every town hall into a cage match between people who want the benefits of datacenters in their town vs those who donāt want the downstream consequencesĀ (many of which could be solved with solar and non-flammable sodium batteries replacing nat gas and diesel generators, btw). | The winners in this next leg will ship capability and consent together. The companies that treat the publicās buy-in as guaranteed may learn that the slowest part of AI was never the model⦠which also explains why OpenAI and Anthropic are doubling down on consultants. | |
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OpenAIās personal finance launch is a good reminder: before you connect an AI tool to sensitive data, make it write you a permission receipt. | A permission map is a basic checklist of what the AI can see, what it can change, what it stores, and how you disconnect it. The trick is forcing the AI to separate read access from action access. Reading your bank transactions is one risk. Moving money, changing subscriptions, or storing private details in chat history is another. | Use this before connecting email, files, calendars, CRMs, bank accounts, or workplace tools (turn it into a skill with the @skill-creator-skill that you can call at any time): | You are my AI permissions auditor. Before I connect this tool or account, create a permission map.
Tool/account Iām considering connecting: [paste tool]
Data involved: [banking / email / calendar / files / CRM / other] (if not provided, look up the connector for me and find out)
Give me:
1. What the AI can read.
2. What the AI can change or trigger.
3. What data may be stored in chat history, logs, or third-party systems.
4. What could go wrong in a normal workday.
5. The safest way to use it.
6. The exact steps I should take to disconnect or delete access later.
Write this for a non-technical person. Be specific and practical; don't scare me away from using it, show me how to be as safe as possible when using it.
| Have a specific skill you want to learn?Ā Request it here.Ā | | |
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| š° Around the Horn |  | Say what you will⦠Boston Dynamics are legendary at demos⦠|
| Anthropic acquired Stainless, the software developer kit (SDK)-generation company behind Anthropicās official TypeScript and Python SDKs. Pope Leo XIV will publish his first encyclical, Magnifica humanitas, on preserving the human person in the age of AI on May 25. NextEra Energy announced a $67B merger deal with Dominion as AI power demand reshapes the U.S. grid. Google DeepMind launched an Asia-Pacific accelerator for teams using frontier AI on climate, nature, agriculture, and energy risks. Anthropic shared unreleased Claude Mythos cyber vulnerability findings with the UK Financial Stability Board. DecartĀ raised $300M, led by Radical Ventures with backers including NVIDIA, Sequoia, and Andrej Karpathy, to build low-latency AI infrastructure across DOS, Lucy, and Oasis. Netflix staffed up INKubator, a GenAI-native animation studio for shorts, specials, and possible feature-quality work.
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š§ Tuesday Tool Tip: Give your agent a work receipt | When you hand work to Codex, Claude Code, or another agent, ask for a small āwork receiptā before it starts. The receipt should list the goal, the files or tools it expects to touch, how it will verify success, and what it will refuse to do without asking. | That one step makes the agent slower for about 60 seconds, then much easier to trust for the next hour. | Before you begin, write a work receipt:
- Goal in one sentence
- Files, apps, or accounts you expect to touch
- Steps you plan to take
- How you will verify success
- Decisions you need me to approve first
Wait for my approval before you make changes.
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