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• technologyreview.com

The Download: controlling AI agents and “Super Intelligence” loyalty tests

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. How “reverse game theory” could keep AI agents in check A new approach known as “reverse game theory” aims to control powerful AI models by designing systems that incentivize them to…
The Download: controlling AI agents and “Super Intelligence” loyalty tests
• ai-supremacy.com

Full Guide to OpenAI dots

How to set up your Dot, connect it to Slack, and 4 real use cases from X.
Full Guide to OpenAI dots
• technologyreview.com

Making the internet better for AI agents might make it worse for everyone else

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Until recently, you could divide internet users into just two categories: bots and people. Websites have long allowed bots to perform automated tasks, like capturing the content of web pages, but rules…
Making the internet better for AI agents might make it worse for everyone else
• lennysnewsletter.com

🎙️ How I AI: Meta Muse Wonder + How Brooke Lacey is scaling video with AI

Your weekly listens from How I AI, part of the Lenny's Podcast Network
🎙️ How I AI: Meta Muse Wonder + How Brooke Lacey is scaling video with AI
• technologyreview.com

AI researchers stranded Claude on a virtual desert island. It started to “play.”

What do AI agents do if you don’t tell them to do anything? The answer looks a lot like play. Researchers repeatedly stranded them alone on a virtual desert island for 30 hours in an experiment reminiscent of the movies Cast Away or Home Alone. The agents—copies of Claude Opus 4.7 nicknamed Eko—were able to…
AI researchers stranded Claude on a virtual desert island. It started to “play.”
• lennysnewsletter.com

Meta’s new ‘Muse Wonder’ model: good for AI agents, bad for design

Watch now (24 mins) | 🎙️Meta launched Muse Wonder with claims of frontier agentic performance, so I ran it headlessly through Claude Code against nearly 20 tasks to find out if any of it is true
Meta’s new ‘Muse Wonder’ model: good for AI agents, bad for design
• blog.bytebytego.com

The LLM Blindspot: Why Models Forget What’s in the Middle of Your Prompt

In this article, we’ll look at why LLMs have this bias against middle information.
The LLM Blindspot: Why Models Forget What’s in the Middle of Your Prompt
• lennysnewsletter.com

OpenAI’s Head of ChatGPT: We’re entering a new era of AI (again) | Tibo Sottiaux

Listen now (37 mins) | Tibo Sottiaux on why Dots is OpenAI’s biggest bet, why agents will dominate internet traffic, and what builders are still getting wrong
OpenAI’s Head of ChatGPT: We’re entering a new era of AI (again) | Tibo Sottiaux
• oneusefulthing.org

The Dot and the Swarm

Benefitting from the Bitter Lesson
The Dot and the Swarm
• blog.bytebytego.com

How DoorDash Built a Toolbox for AI Agents

In this article, we will look at how the DoorDash engineering team built this gateway and the decisions they made.
How DoorDash Built a Toolbox for AI Agents