Anthropic just reset everyone’s 5-hour AND weekly rate limits. Either xAI’s Colossus compute is turning into a big win for all of us, or OpenAI and Codex competition is forcing Anthropic to give users more. Either way: big W for us.
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Codex AI tool for code development and file management explained
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Then open the web browser pointing to https://t.co/G5VusyT6qP, log in, open a new file, and you're done.
— Pietro Schirano (@skirano) 15 mai 2026
We built the skill so Codex is aware of your open project (you can also ask Codex to work on any file you want, or start a new one). pic.twitter.com/m0FPX0PdhaThen open the web browser pointing to http://
MagicPath.ai, log in, open a new file, and you're done. We built the skill so Codex is aware of your open project (you can also ask Codex to work on any file you want, or start a new one). -
MagicPath Native Canvas in Codex for Designing Functional Apps
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You can now run MagicPath as a native canvas inside Codex to design and build functional apps.
— Pietro Schirano (@skirano) 15 mai 2026
It's pretty incredible.
Here's how to do it 👇 pic.twitter.com/3dVKxq7pGeYou can now run MagicPath as a native canvas inside Codex to design and build functional apps. It's pretty incredible. Here's how to do it
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Weekly AI news roundup: New models, agents, and enterprise tools
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Here's all the AI news from the past week: – @thinkymachines unveiled “Interaction Models”
– @OpenAI launched Codex From Anywhere – @AnthropicAI launched Agent View in Claude Code and increased usage limits
– Anthropic also launched Claude for Legal and Claude for Small -
Recette pour annotations 3D via Gemini
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Those asking how to do this, here's the recipe:
TL;DR wiggle the camera around while taking screen shots and asking Gemini for screen space annotations and then clustering them so they are pinned to the right spot in 3d space. You can make it even more precise to project into -
Codex generalizes problems, limiting non-coding work unnecessarily
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Another aspect of this is that Codex, like a good programmer, wants to generalize problems. It has a tendency to write a repeatable code base that generates the required output. But for a lot of non-coding work, this is unnecessary and often limiting, since it anchors the work.
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Project GAIUS: Gesture Control Without the Cloud
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Point at a lamp. It turns on. Point at the TV. It changes the channel. No remote, no voice, no cloud. Project GAIUS by @KatusDavid: multi-camera 3D triangulation, arm raycasting, gesture recognition on Metis M.2. Fully offline, fully open source. Code + docs:
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A satirical take on AI agent labor and workplace automation
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first they put the harness on the agent to do all the work, and i said nothing because i wasnt an agent. then mario put the harness on the human and told me to do all the work, but no agent was able to speak up for me anymore
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LLM Failure Modes in Learning Negations During Fine-tuning
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“Negation Neglect: When models fail to learn negations in training” LLMs can understand a disclaimer in-context, but often fail to learn it during finetuning. So when training on documents saying a claim is false can still implant the claim as true. Qwen3.5 belief in
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Runway’s Agent mode builds complex stories from short text
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Fine, you all want to code like this I guess.
— Ethan Mollick (@emollick) 15 mai 2026
(Runway's new Agent mode is quite impressive, doing fairly complex story building from just a short text description of what you want. Not error free obviously, but this was pretty great for a one-shot attempt) https://t.co/vPNUwJI0gA pic.twitter.com/dO8lwbpgjKFine, you all want to code like this I guess. (Runway's new Agent mode is quite impressive, doing fairly complex story building from just a short text description of what you want. Not error free obviously, but this was pretty great for a one-shot attempt)