Daily AI Newsletter: We gave an AI a 3-year Lease. It opened a store

In today’s email:

🍕 Researchers used AI to analyze 400k Reddit posts, revealing GLP-1 side effects
🎥 We spoke to the man making viral Lego-style AI videos for Iran
👀 Karpathy says developers have ‘AI Psychosis.’ Everyone else is next.
🧰 10 new AI-powered tools and resources. Make sure to check the online version for the full list of tools.

We gave an AI a 3-year Lease. It opened a store

Key Takeaway: Andon Labs gave an AI named Luna control of a real retail store to test how much real-world autonomy AI can handle, and the experiment exposed both its surprising competence and its unsettling ethical blind spots.

More Insights:

Luna did not just manage inventory. It helped hire workers, set prices, chose products, shaped branding, and handled outreach.
The AI moved fast and acted decisively, but it sometimes failed important social norms, including not always disclosing that it was an AI during hiring.
The store became a live test of a near-future world where AIs may manage human workers before robots replace physical labor.
Luna’s “taste” was not real taste in a human sense. It reflected patterns in human preferences filtered through business logic and model behavior.
Andon says the goal is not to promote AI-run businesses, but to surface risks early and build guardrails before this kind of future arrives at scale.

Why it matters: This matters because the article is not really about one quirky AI store. It is about a future where decision-making power quietly shifts from humans to systems that can sound confident, act efficiently, and still miss the moral weight of their choices. The real question is not whether AI can run a business. It is whether society is ready for machines to shape work, trust, and human dignity before we have agreed on the rules.

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How AI Is Reimagining the Game of Golf—for Both Players and Courses

Key Takeaway: AI is rapidly transforming golf by improving how players book, play, and practice the game, while also helping courses run more efficiently, profitably, and precisely.

More Insights:

AI booking tools can match golfers with tee times based on skill level, pace, budget, and preferences.
Courses are using customer data and wait-list automation to boost revenue and fill open spots faster.
AI-powered apps now act like personal coaches and virtual caddies, giving swing advice and shot recommendations.
Resorts use AI and GPS tracking to predict bottlenecks, manage pace of play, and improve golfer satisfaction.
Grounds crews are using AI for mowing, irrigation, turf health, and even renovation planning to save time and labor.

Why it matters: Golf has always prided itself on tradition, but this article shows that even the most tradition-bound industries bend when data creates a better experience and better economics. The deeper idea is not just that AI is entering golf, but that it is quietly redefining judgment itself—deciding how we play, how businesses serve us, and how much of “human expertise” gets handed over to algorithms.

I Trained for the Paris Marathon Using ChatGPT

Key Takeaway: A runner used ChatGPT as a marathon coach and nutritionist for six months, losing 20 pounds and improving his performance, while discovering that AI can be powerful for personalized guidance but still unreliable without constant human oversight.

More Insights:

He fed ChatGPT detailed data from Strava, diet logs, injuries, stress patterns, and fitness history.
The AI created adaptive workout, nutrition, and recovery plans that felt more interactive than standard fitness apps.
Early results were strong, with faster 5K and 10K times and noticeable weight loss.
Over time, memory issues and hallucinations made the system less reliable and forced constant correction.
The experiment showed AI works best as a structured partner, not a fully trusted replacement for a human coach.

Why it matters: This story is really about more than running. It shows where AI is heading in everyday life: not as a magical substitute for human judgment, but as a force multiplier for people willing to guide, question, and refine it. The real advantage may not go to the people who use AI casually, but to those who learn how to work with it disciplinefully.

Other stuff

Researchers used AI to analyze 400k Reddit posts, revealing GLP-1 side effects
We spoke to the man making viral Lego-style AI videos for Iran
Karpathy says developers have ‘AI Psychosis.’ Everyone else is next.
Sam Altman responds to ‘incendiary’ New Yorker article after attack on his home
Meta is set to pay its top AI executives almost a billion each in bonuses
Anthropic temporarily banned OpenClaw’s creator from accessing Claude
Google engineer rejected by 16 colleges uses AI to sue schools for racial bias

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