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Since last spring, OpenAI has offered Codex. What started life as the company's response to Claude Code is becoming something more sophisticated with the release of a new dedicated macOS app. At its most basic form, Codex is a programming agent capable of writing code for users, but now it can also manage multiple AI assistants that can work together to complete more complex tasks.
OpenAI gives an example of how this could work in practice. The company used Codex to create a Mario Kart-like racing game, complete with a selection of different playable cars, eight tracks and a collection of powerups players can use against the competition. For a single AI agent, generating a game from scratch, with all the needed visual assets, would be a tough ask, but Codex was able to complete the task because it could delegate the work of making the game to different models with complementary capabilities.
For example, it turned to GPT Image for the visual assets, while a separate model simu
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While it's important to stay informed about what's going on in the world, endlessly scrolling through your social media feeds and absorbing what's likely to be a largely negative influx of information can't be great for your mental wellbeing. Perhaps with an eye on stopping you from doomscrolling, developer Lyra Rebane created Xikipedia, a social media-style feed of Wikipedia entries.
The web app algorithmically displays info from Simple Wikipedia. "It is made as a demonstration of how even a basic non-[machine learning] algorithm with no data from other users can quickly learn what you engage with to suggest you more similar content," the Xikipedia landing page reads. "No data is collected or shared here, the algorithm runs locally and the data disappears once you refresh or close the tab."
You can opt to see entries from certain categories (including custom ones) and you can like "posts," each of which is a summary of the relevant Simple Wikipedia entry. Liking a post makes it more likely for posts from the same category, parent categories and linked articles to appear in your feed, Rebane explained.
You can click or tap on a post to visit the full article. It's important to note that, since Xikipedia pulls text and images from random articles, you'll probably see some NSFW material if you scroll for long enough, so be warned. You'll also likely need to wait a beat for Xikipedia to load its 40MB of data.
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This past summer, Google DeepMind debuted Genie 3. It's what's known as a world world, an AI system capable of generating images and reacting as the user moves through the environment the software is simulating. At the time, DeepMind positioned Genie 3 as a tool for training AI agents. Now, it's making the model available to people outside of Google to try with Project Genie.
To start, you'll need Google's $250 per month AI Ultra plan to check out Project Genie. You'll also need to live in the US and be 18 years or older. At launch, Project Genie offers three different modes of interaction: World Sketching, exploration and remixing. The first sees Google's Nano Banana Pro model generating the source image Genie 3 will use to create the world you will later explore. At this stage, you can describe your character, define the camera perspective — be it first-person, third-person or isometric —
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