Here we go Confirmation from MiniMax’s Head of Engineering on what I have been saying: MiniMax-M2.7 weights will be opensourced within the next couple of weeks
RESEARCH
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Can AI Agents Reach Agreement? New Research Paper
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Can AI Agents Agree? Frédéric Berdoz, Leonardo Rugli, Roger Wattenhofer: https://
arxiv.org/abs/2603.01213 #ArtificialIntelligence #AIAgents -

Can AI Agents Reach Consensus and Agreement?
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Can AI Agents Agree? Frédéric Berdoz, Leonardo Rugli, Roger Wattenhofer: https://
arxiv.org/abs/2603.01213 #ArtificialIntelligence #AIAgents -
OpenAI’s sophisticated process avoids constant drift
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OAI's process is quite a bit more sophisticated than just yolo, and you don't want constant drift.
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Open Models Still Lack Intelligence Capabilities
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most folks will want as much intelligence as possible, and open models aren't there yet.
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How LSTM Architecture Improves Upon Traditional RNN Models
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How the LSTM Improves the RNN. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/LSTM-RNN -

Eight Strategies for Scalable Accountable Enterprise AI Systems
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Eight Strategies Leaders Need To Build Scalable, Accountable Enterprise #AI Systems
by Girish Joshi @Forbes Learn more: https://
bit.ly/4drMEc7 #ArtificialIntelligence #MachineLearning #ML #DL -

Diffusion Language Models: Powerful, Fast, Practical Survey
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Can AI language models be powerful, fast, and practical? A team from CAS, CUHK, & Harvard University presents a new comprehensive survey. Their work details optimizing Diffusion Language Models (dLLMs). These unique AIs generate text by refining masked sequences for parallel
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AI Scaling Crisis: Can Power Infrastructure Keep Pace?
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We obsess over AI model scaling laws. Nobody talks about the scaling crisis for the electricity to run them. 1 billion weekly LLM users generating billions of queries per day. Are we building AI faster than we can power it? pic.twitter.com/onf1zHDv01
— Lucian Fogoros (@fogoros) 22 mars 2026We obsess over AI model scaling laws. Nobody talks about the scaling crisis for the electricity to run them. 1 billion weekly LLM users generating billions of queries per day. Are we building AI faster than we can power it?
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How Much Has Already Changed in AI
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Yep. Few people realize how much things have already changed.
