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A few years ago, humanoid robots could barely stay on their feet. Now they're getting their own Olympics.

That says a lot about how quickly the AI world is moving. What feels experimental today keeps finding its way into the real world tomorrow.

Here's what else happened in AI while you were busy.

  • 2,056 humanoid robots are getting ready for their own Olympics

  • Google is putting AI inside one of gaming's most complex worlds

  • Why Google wants data from a bankrupt airline

  • YouTubers are facing backlash over AI sponsorships

  • Google is giving students a year of Gemini

  • 5 rules for building smarter AI agent skills

  • 3 AI audio tools worth trying

  • How to claim up to $5,000 in AWS credits

“I visualise a time when we will be to robots what dogs are to humans, and I’m rooting for the machines..” 

Claude Shannon

A 15-yr member tested this exciting options trade for 3 weeks

A 15-yr member tested this exciting options trade for 3 weeks

Josh has been with us since before Prosper Trading even existed — fifteen-plus years.

So when he put my 0-day options strategy to the test, he didn't take our word for it. He ran his own capital through it and tracked every pick, every entry, every exit for three straight weeks.

The result? Up more than 5,800 on three weeks of deployed capital — a 139 percent return on the money he put at risk. AMD ran better than ten times his risk. MSFT, more than thirteen.

It's a handful of trades on Thursday at 3PM each week — the kind that can expire the very next day, with the strike, entry, and exit spelled out for you. Not every trade wins, and we never hide the ones that don't.

Let me share with you exactly how it works in 1 simple report.

Charlie Moon
Thursday Blitz 0DTE service with Prosper Trading

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⚡ Meanwhile in AI

Games have been one of AI's best testing grounds for years. DeepMind now wants to push that idea much further, moving from Atari and AlphaGo to the enormous, constantly changing world of EVE Online. The goal is to see whether AI agents can learn, remember, plan for the long term, and navigate complex worlds where the rules and relationships keep changing.

Spirit Airlines is gone, but its data could have a second life inside Google's AI efforts. Google has reportedly offered $10 million for Spirit's operational and employee data in bankruptcy proceedings. The deal has already raised privacy concerns from former flight attendants, who argue that anonymizing the data doesn't eliminate the risks around sensitive employee information.

The first World Humanoid Robot Games had plenty of spectacular crashes. This year, there are 2,056 robots from 666 teams across 16 countries, more than four times the number of robots in the inaugural event. The competition now goes beyond running and soccer, with autonomous races, dexterous hand challenges, table tennis, kickboxing, and real-world tasks such as cleaning, assembly, and emergency rescue.

A few prominent filmmaking creators thought they were showing their audiences where AI video is headed. Instead, the videos triggered a backlash over sponsorship disclosure and the ethics of promoting generative AI tools. The controversy has opened a bigger debate about where creator partnerships end and advertising begins, especially when the creators' own brands are built around traditional filmmaking.

What is an EOR—and why are companies using it?

Opening entities in every country can be slow, expensive, and hard to scale.

That's why more companies are using EOR to hire globally faster.

See how Oyster helps teams hire, pay, and support talent in 180+ countries while staying compliant along the way.

The semester hasn't even started, and Google is already trying to get students organized.

Its new Gemini student experience brings together study notebooks, flashcards, practice quizzes, and other learning tools, while eligible college students can get a Google AI plan free for a year.

The interesting part isn't the free subscription. It's how much Google is trying to turn Gemini into something students use throughout the semester, rather than just when they're stuck on homework.

Scroll Break

AI agent skills look simple on the surface. They’re often nothing more than a small set of instructions, but getting them right is where things get interesting.

This video breaks down five practical rules for building better agent skills, including how to write descriptions that actually trigger at the right moment, build skills from real hands-on expertise, keep them lean so they don't waste context, and use deterministic scripts when an AI shouldn't be left to guess. It also covers the security risk of running skills created by strangers, especially when those skills can execute code or access files and API keys.

Thank you for reading!

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Team AIChief