xAI is exploring the possibility of customizing Grok sub-agents. Users will be able to set a name and a custom prompt for each agent working together on a given task. And one to rule them all
GENERATIVE AI
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Qwen Image 2 Pro Now Available on Replicate
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Qwen Image 2 Pro here: https://
replicate.com/qwen/qwen-imag
e-2-pro
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Try Qwen Image 2 Model on Replicate Platform
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Try Qwen Image 2 here: https://
replicate.com/qwen/qwen-imag
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Qwen Image 2 Launches with Perfect Text Rendering and 2K Quality
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Qwen Image 2 is here Text rendering that actually works (no more glitchy letters!), pro typography for slides/posters/comics, and stunning 2K photoreal magic. Type a paragraph → instant pro slides
Describe a scene → photoreal 2K
Add text → flawless every time Lighter -
AI Output Now Preferred Over Fiverr Freelancers
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After using AI a lot and finding the output quality and speed really good, not perfect, but good. And then trying to do something with @Fiverr folks on cases where the #AI wasn't doing what I wanted… I have to say… I prefer AI. Fiverr is no longer worth it.
→ View original post on X — @rschmelzer, 2026-03-04 20:29 UTC
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Guitar amp and pedals simulator in NAM format by @jessyseonoob
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oki let's create an amp and pedals simulator for guitar using NAM format
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AI-Powered Video Creation for Pet Content
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5. Creating videos about your friend’s cathttps://t.co/p5KAvoTRjs
— Pika (@pika_labs) 4 mars 20265. Creating videos about your friend’s cat
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AI-Generated Music Tracks From Your Personal Inside Jokes
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2. Producing killer tracks about your inside jokes (🔊on!)https://t.co/k2knOTpht3
— Pika (@pika_labs) 4 mars 20262. Producing killer tracks about your inside jokes (on!)
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AI Selves Transform iMessage and SMS: Six Real Examples
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It’s been mere days since people started adding their AI Selves to iMessage and SMS, and the results are a mix of heartwarming, task-annihilating, and hilarious. Here are 6 examples of what they’re doing in your chats
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New JAX Course: Build and Train LLMs from Scratch
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New course: Build and Train an LLM with JAX, built in partnership with @Google and taught by @chrisachard.
— Andrew Ng (@AndrewYNg) 4 mars 2026
JAX is the open-source library behind Google's Gemini, Veo, and other advanced models. This short course teaches you to build and train a 20-million parameter language… pic.twitter.com/iBJTIjTOIWNew course: Build and Train an LLM with JAX, built in partnership with @Google and taught by @chrisachard. JAX is the open-source library behind Google's Gemini, Veo, and other advanced models. This short course teaches you to build and train a 20-million parameter language model from scratch using JAX and its ecosystem of tools. You'll implement a complete MiniGPT-style architecture from scratch, train it, and chat with your finished model through a graphical interface. Skills you'll gain: – Learn JAX's core primitives: automatic differentiation, JIT compilation, and vectorized execution – Build a MiniGPT-style LLM using Flax/NNX, implementing embedding and transformer blocks – Load a pretrained MiniGPT model and run inference through a chat interface Come learn this important software layer for building LLMs! deeplearning.ai/short-course…
→ View original post on X — @andrewyng, 2026-03-04 18:41 UTC