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, let’s unpack that: see, what happened was, after a few brief weeks of meme-worthy trial, the federal jury found Musk’s claims were filed a few years too late (there’s 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 he’ll appeal because the case turned on a “calendar technicality.” Read our full deep dive here.
So, in conclusion: Elon kiiiinda wasted everyone’s time… or was it the trial itself wasting everyone’s time? I mean, why have a trial in the first place if any old chatbot can look at a calendar and see that it’s been longer than 3 years since this beef first went down.
Ah well… at least we’ll always have this emo rendition of Mira Murati’s now famous “directionally very bad” texts to Sam Altman…
Here's what happened in AI today:
😼 Four AI stories showed agents leaving the chat box.
📰 Anthropic acquired Stainless for SDK and MCP infrastructure.
📰 Pope Leo XIV prepared his first AI encyclical.
🍪 OpenShell gave agents a safer private runtime.
🎓 Map AI permissions before connecting sensitive accounts.
…and a whole lot more that you can read about here.
Hey: Want to reach 700,000+ AI-hungry readers? Advertise with us!
FULL BRIEF: Read the longer versions in today’s 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 today’s 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 AI’s impact on jobs, power bills, and local politics are all coming to a head.
Microsoft open-sourced ECHO, which helps terminal agents predict what their environment will do next.
Odyssey launched Starchild-1 for real-time audio/video world simulation, then added Agora-1 for shared multiplayer worlds.
OpenAI launched ChatGPT personal finance for Pro users in the U.S., with bank connections through Plaid.
AI backlash polling showed the deployment fight moving into data centers, hiring plans, surveillance, and electricity politics.
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.
OpenAI’s 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 public’s 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 don’t want the downstream consequences (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 public’s 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.
Most agentic AI systems look compelling in demos, but break down in production. Outputs shift, logic diverges, and reliability becomes a constant concern.
WaveMaker solves this with a Two-Pass Coding System. AI first converts intent into structured, validated markup, then deterministically generates production-ready applications. The result is consistent, governed code you can trust.
With 10M+ app users worldwide and trusted by leading enterprises like Nokia and AT&T, WaveMaker delivers 5x faster development while ensuring consistent, production-ready code.
OpenAI’s 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):
Have a specific skill you want to learn? Request it here.
*Asterisk = from our partners (only the first one!). Advertise to 700K+ readers here!
*Your AI-agents are only as good as your knowledge layer. Guru fixes that.
Ring-2.6-1T is a 1T-parameter open reasoning model for agent workflows, tool use, and multi-step execution —free/open weights.
browse.sh turns browsing into a scriptable agent workspace with click, scroll, type, console, and network controls —free to try.
image-blaster turns one image into a 3D environment with meshes, sound effects, and ambient audio for Claude workflows —free/open source.
This Claude AI Cheat Sheet explains key Claude concepts like tokens, context windows, artifacts, skills, memory, and pricing in plain English.
OpenShell v0.0.43 from NVIDIA gives you a safer private runtime for autonomous agents, with sandboxing, keyless sign-in, and DNS removal to block data leaks —free/open source.
Devin Auto-Triage monitors bugs, alerts, and incidents, investigates with your tools, connects related reports, and can open pull requests when something breaks.
Cursor Composer 2.5 improves long-running coding-agent behavior, instruction following, and cost efficiency versus Composer 2—available in Cursor.
Say what you will… Boston Dynamics are legendary at demos…
Anthropic acquired Stainless, the software developer kit (SDK)-generation company behind Anthropic’s 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.
Decart 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.
Most hackathons end with a pitch. EAZO Global Hackathon 2026 is built around what happens after. Every submitted product launches live on Eazo Mobile, where real users can discover, use, and vote on it. Public engagement makes up 50% of the final score, meaning the most valuable product, not just the best presentation, can win. Even teams that never reach Demo Day still have a chance if users keep coming back to what they built.
When you hand work to Codex, Claude Code, or another agent, ask for a small “work receipt” 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.
P.S: Before you go… have you subscribed to our YouTube Channel? If not, can you?
Grant Harvey is the Lead Writer of The Neuron, where he continues to lead the publication's daily coverage of AI news, tools, and trends.
Don't fall behind on AI. Get the AI trends & tools you need to know. Join 700,000+ professionals from top companies like Microsoft, Apple, Salesforce and more.
Property of TechnologyAdvice. © 2026 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.
Source: TheNeuron
