It is a big trend in AI community. Everyone is setting it up and getting it to do a ton of things. I'm having my agents go through thousands of posts here on X to write the ultimate guide and report about what's going on here. Be back soon. Created by @steipete
@scobleizer
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New AI Model and World Simulator Releases
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🤖 AI Product Launches
— Robert Scoble (@Scobleizer) 23 janvier 2026
@MiniMax__AI launches M2.1 coding model – Chinese AI company with competitive benchmarks [https://t.co/iYgbOneo8e] (from AI Investors)@odysseyml introduces Odyssey-2 Pro world simulator – generates interactive 720p simulations [https://t.co/VD9Ogq6rmg]…AI Product Launches @minimax_ai launches M2.1 coding model – Chinese AI company with competitive benchmarks [
https://
x.com/MiniMax__AI/st
atus/2003550306073039221
…] (from AI Investors) @odysseyml introduces Odyssey-2 Pro world simulator – generates interactive 720p simulations [
https://
x.com/odysseyml/stat
us/2014781263224459293
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Comparing AI Capabilities in Autonomous Robotaxi Systems
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Most Robotaxi rides are single riders. Zoox is too limited and too expensive to operate and doesn’t have as nice an experience. And its AI isn’t nearly as good as Tesla’s.
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Discussion on AI system architecture and training data transparency
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There really isn't an algorithm in these new AI systems. More like billions of algorithms. And, no, I can't see Elon open sourcing his dataset that goes into training these billions of algorithms.
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World Models in Robotics Training
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True. World Models is what everyone in robotics is building. Trained on video data. See my latest post.
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Defining AGI through embodied AI capabilities
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New definition of AGI: can your AI cook dinner while embodied in a robot over an open flame without setting the house on fire? Five years away. Minimum. The world models, even those from Google or @worldlabs aren't ready. Until AI can do that I won't believe AGI is here.
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Reflecting on the black-box nature of neural network weights
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Yeah, I've been reading through the source code too. It's quite interesting. What's really interesting is that a lot of it is run by neural networks that we can't see inside of; we don't know the weights, for instance, but we can see the effect. My feed is generally better today
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Transparency and Weight Accessibility in Open Source AI Models
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It's a good thing that it's open source so that we can analyze it. Whether the algorithm is any good or not relies on the neural network that is being called by the structure we can see in the source. However, since we can't see the weights, it's not completely "open source."
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Grok analyzes social media posting behavior for engagement optimization
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Grok will give everyone a more personalized answer too. Here Grok analyzes my posting behavior and says that I'm doing everything wrong if my goal is to get reach: https://
x.com/i/grok/share/1
e866d1e49614e04b01d762a4b670b44
… It suggests that I will need to shift toward reply-bait hooks, stronger emotional pattern -
Using Grok to analyze content strategy and algorithmic reach
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Is the new open source algorithm fair? Or even good? Here Grok analyzes my posting behavior and says that I'm doing everything wrong if my goal is to get reach: https://
x.com/i/grok/share/1
e866d1e49614e04b01d762a4b670b44
… It suggests that I will need to shift toward reply-bait hooks, stronger emotional pattern