CHORUS
— AK (@_akhaliq) 12 juin 2026
Decentralized Multi-Embodiment Collaboration with One VLA Policy pic.twitter.com/QIyWXsMdiL
CHORUS Decentralized Multi-Embodiment Collaboration with One VLA Policy
By
–
CHORUS
— AK (@_akhaliq) 12 juin 2026
Decentralized Multi-Embodiment Collaboration with One VLA Policy pic.twitter.com/QIyWXsMdiL
CHORUS Decentralized Multi-Embodiment Collaboration with One VLA Policy

By
–



Free Machine Learning eBooks – 2026! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Free-DL-eBooks
By
–
Or the Dead Lady of Clown Town, who was a "personality recording" – lots of options, but the LLMs don't get Smith, too weird. (and they over-index on the underpeople, which at least fits into more common anthropomorphic animal tropes, reinforced by elsewhere in the training data)
By
–
had an idea for a big fable project, set it up, and let it cook came back an hour later and it had triggered the safeguards and fell back to 4.8 10 minutes in back to codex
By
–
Free Machine Learning eBooks – 2026! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Free-DL-eBooks

By
–



Transformers Explained! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode

By
–



TCN-QRNN Model for Short Term Energy Consumption! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/TCN-QRNN-Model
By
–
My Hermes agent can now create LIVE datasets on the fly.
— Shubham Saboo (@Saboo_Shubham_) 12 juin 2026
Just added a real-time data layer to Hermes using the open-source TinyFish BigSet.
First it builds the dataset. Then it finds the signal.
This is WHAT agent-native research looks like in 2026. pic.twitter.com/QQtk9yfPY8
My Hermes agent can now create LIVE datasets on the fly. Just added a real-time data layer to Hermes using the open-source TinyFish BigSet. First it builds the dataset. Then it finds the signal. This is WHAT agent-native research looks like in 2026.

By
–
On a first read, this paper seems far ahead of the pack in terms of (1) understanding some reasons why a task might stay difficult even in the face of gradient descent, and (2) distilling out propositions they'd need to somehow verify before they started expecting nice things.
By
–
Good paper on a first fast read. I have misc quibbles, eg "setting aside" the chance that N can't align N+1; the more a fair solution is hard, the more likely a fake solution gets found instead. The main point not spelled out is, "Absent a method, ASI must not proceed."