Daily AI Newsletter: OpenAI launches Codex, an AI coding agent, in ChatGPT

In today’s email:

👑 Uncovering the Lost City of Z: OpenAI’s Ultimate Amazonian AI Quest
👀 Sam Altman’s goal for ChatGPT to remember ‘your whole life’ is both exciting and disturbing
⌚️ Oops! I accidentally vibe-coded a ChatGPT client for my Apple Watch
🧰 11 new AI-powered tools and resources. Make sure to check the online version for the full list of tools.

OpenAI launches Codex, an AI coding agent, in ChatGPT

Key Takeaway: OpenAI has introduced Codex, a sandboxed AI coding agent in ChatGPT that writes, tests, and debugs code autonomously for paid subscribers.

More Insights:

Optimized for Engineering: Powered by the codex-1 model, Codex produces cleaner code, follows instructions precisely, and iteratively runs tests until they pass.
Sandboxed Cloud Environment: Runs in a virtual machine with optional GitHub integration, completing tasks from feature builds to bug fixes in 1–30 minutes without locking you out of your own system.
Tiered Rollout & Credits: Available now to ChatGPT Pro, Enterprise, and Team users with generous early access; upcoming rate limits let you buy extra credits, and Plus/Edu access is on the horizon.
Strategic Expansion: Follows OpenAI’s $3 billion Windsurf acquisition and competition from Anthropic’s Claude Code and Google’s Gemini Code Assist, signaling a broader push into “agentic” developer tools.

Why it matters: This marks a pivotal shift toward AI-driven software engineering—transforming developers into supervisors of autonomous coding agents, speeding up delivery cycles and redefining what it means to collaborate on code.

Create How-to Videos in Seconds with AI

Stop wasting time on repetitive explanations. Guidde’s AI creates stunning video guides in seconds—11x faster.

Turn boring docs into visual masterpieces
Save hours with AI-powered automation
Share or embed your guide anywhere

How it works: Click capture on the browser extension, and Guidde auto-generates step-by-step video guides with visuals, voiceover, and a call to action.

Best part? It’s 100% free.

👉 Download the extension now

China launches first of 2,800 satellites for AI space computing constellation

Key Takeaway: China has launched the first 12 satellites of its “Three-Body Computing Constellation,” kicking off a planned 2,800-satellite AI-driven on-orbit computing network designed to process data in space rather than on the ground.

More Insights:

Launch Details: A Long March 2D rocket lifted off from Jiuquan on May 14, carrying the inaugural 12 Three-Body Computing satellites into orbit.
On-Orbit Performance: The initial cluster delivers a combined 5 peta-operations per second (POPS) and 30 TB of onboard storage, with 100 Gbps laser links for rapid inter-satellite data transfer.
Advanced Payloads: One satellite hosts a cosmic X-ray polarimeter to detect and classify transient events (e.g., gamma-ray bursts) and trigger follow-up observations.
Broader Program: Led by ADA Space and Zhejiang Lab, the “Star-Compute Program” partners with SoftStone and Kepu Cloud to integrate this space network with ground-based AI centers, aiming for full deployment of 2,800 satellites.

Why it matters: It heralds the era of space-based cloud computing—enabling real-time AI processing in orbit, slashing ground-infrastructure bottlenecks, and reshaping both commercial innovation and strategic competition in space.

Uncovering the Lost City of Z: OpenAI’s Ultimate Amazonian AI Quest

Key Takeaway: The OpenAI to Z Challenge invites anyone to harness cutting-edge AI and open-source data to discover and validate previously unknown archaeological sites in the Amazon, with top prizes and real-world field support on the line.

More Insights:

Leverage high-resolution satellite imagery, LiDAR tiles, historical texts, and indigenous oral maps to pinpoint hidden settlements under the canopy.
Use OpenAI o3/o4 mini and GPT-4.1 models to generate, verify (with two independent methods), and package evidence—including precise coordinates and write-ups.
Submit a Git repo, detailed findings, and a 200-word abstract by 9 PM PST on June 29, 2025; the top five teams will livestream their discoveries for final judging.
Awards up to $250K (cash/API credits) plus funding and fieldwork opportunities, judged on archaeological impact, ingenuity, and reproducibility.

Why it matters: By democratizing archaeological research and uniting AI with indigenous knowledge, this challenge could rewrite the history of Amazonian civilizations and inspire a new era of collaborative exploration.