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- ⚡ The hire OpenAI couldn't lose
⚡ The hire OpenAI couldn't lose
Plus: Meta patents posting after death, 470K signed up to work for algorithms
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🗞️In this edition
The Hire That Signals What OpenAI's Building Next
470,000 People Just Signed Up to Work for Algorithms
Meta Patented AI That Keeps You Posting After You Die
In other AI news –
The AI Stock That Could Double Before 2027
Microsoft's Preparing 3 Million People for the Jobs AI Creates Next
Simile Raised $100M to Predict What You'll Do Next
4 must-try AI tools
Three decisions this week that seemed unrelated.
One person walked away from building a unicorn to join a company instead. A platform launched where half a million people registered to work for AI that can't pay them. A patent got filed for technology that keeps you posting after you die.
Each solved a different problem. Together, they revealed the same thing: the infrastructure for AI's next phase is getting built before the current phase works.
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Source: Reuters
What's happening:
Peter Steinberger built OpenClaw. It went from zero to 100K GitHub stars, 2M weekly users in weeks. Every VC in Silicon Valley wanted in. He said no to all of them.
Sunday, Altman announced Steinberger's joining OpenAI. OpenClaw stays open source, becomes a foundation. Steinberger's role: drive "next generation personal agents." Altman called it "quickly becoming core to our product offerings."
The move wasn't about acqui-hire. It was about speed.
Why this is important:
When someone walks away from building a unicorn to join a company instead, the reason matters more than the decision.
Steinberger's quote: "What I want is to change the world, not build a large company." That's positioning for something bigger than OpenClaw. Multi-agent systems where "very smart agents interact with each other to do very useful things for people." That's Altman's words, not marketing.
OpenAI needed this vision faster than they could build it. The timing reveals urgency. Software stocks crashed from agent announcements. Automation timelines compressed to 18 months. OpenAI just acquired the architect of what replaces the current paradigm.
The hire shows where value moved. Not models. Not interfaces. Agent orchestration.
Source: Wired
What's happening:
A platform called RentAHuman launched two weeks ago. The concept: autonomous AI agents hire real humans to do physical tasks they can't do themselves. Pick up packages. Verify locations. Deliver things.
Wired tested it. Applied for jobs posted by AI bots. Got hired once—deliver flowers for $110. It was fake. Just another AI startup's marketing campaign. The payments don't work. The agents aren't actually capable yet. But 470,000 people registered anyway.
Why this is important:
We just watched the labor market flip inside out in real time.
For decades, humans hired other humans. Then platforms like Uber put software between workers and customers. Now the software itself is the employer. The algorithm doesn't just connect you to work—it becomes your boss.
Here's what nobody's saying: this infrastructure got built before the AI agents can actually use it. That's not a bug. When capability arrives, the workforce is already waiting. The gap between "agents that can plan" and "agents that can execute" creates a new economy. You're watching it form.
Comments from the editor:
This is what the transition looks like when you see it early.
Microsoft predicted 18 months until white-collar automation. Anthropic's agents are already eliminating software jobs. The window between "AI can think" and "AI can do" is where humans still have value. Not as employees. As contractors for the systems replacing them.
RentAHuman isn't the platform that matters. It's proof the market already exists. When half a million people volunteer to work for algorithms that can't manage them yet, they're not confused. They're positioning for the only labor market that grows when everything else automates. Your job disappears, but the AI that took it needs someone with hands. That's not dystopian. That's just what comes next.
Source: Business Insider
What's happening:
The company got a patent in December for AI that posts as you after you die. It trains on everything you've ever shared—your comments, likes, posts. Then it becomes you. Responds to friends. Leaves comments. Even makes video calls.
Meta's CTO filed it in 2023. The company says they won't build it. But the patent exists. Microsoft filed one in 2021. Several startups already sell this—they call it grief tech. The infrastructure is real.
Why this is important:
Patents show what companies plan to build before they admit it publicly. Meta just documented how to turn death into an engagement problem they can solve.
Dead accounts stop generating data. AI versions don't. They keep posting, keep connecting, keep the network active. Your profile becomes infrastructure that never shuts down.
The shift: your social media presence outlives your body. Not frozen as a memorial. Active. Posting. Responding. The technology exists now. Society hasn't decided if we want this. That gap is exactly when it gets built.
The AI Stock That Could Double Before 2027 – The company building what AI needs most just got $2 billion from Nvidia. Early investors see why.
Microsoft's Preparing 3 Million People for the Jobs AI Creates Next – Microsoft's training 3 million people for jobs that don't exist yet. They're seeing something the market isn't.
Simile Raised $100M to Predict What You'll Do Next – A Stanford startup raised $100M to predict your decisions before you make them. CVS already knows.
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Verbalate - A video translation and lip sync software designed to help businesses reach a global audience
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ChefGPT - An AI-powered recipe recommendation tool that suggests recipes based on the ingredients and tools you have
The week showed what happens when companies build for capability that doesn't exist yet.
OpenAI acquired the talent that builds what replaces their current product. RentAHuman created a labor market for algorithms that can't manage humans. Meta documented how to solve retention when users are dead.
None of this is about what AI can do now. It's about what breaks when AI starts working. The gap between those two realities is where this week's moves make sense. That gap is closing faster than anyone expected.
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