Tired of LLMs maxing out memory even on powerful supernode architectures? Shanghai Jiao Tong University and Huawei Technologies Co., Ltd. introduce HyperOffload! This new compiler-assisted framework intelligently plans data movement for large language models. By treating
INNOVATION
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Human Science’s Ability to Generalize Models from Available Information
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Basically, consider a high-profile scientific problem (one that is getting enough attention from smart humans and their externalized cognitive infrastructure). How good is human Science at converting the information available about the problem into generalizable models of the
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Phantom MK-1: Foundation’s Humanoid Robot for Factories
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Phantom MK-1: Foundation’s New Humanoid #Robot Aimed at Factories and High-Risk Environments
— Ronald van Loon (@Ronald_vanLoon) 29 mars 2026
by @IntEngineering#Robotics #MachineLearning #ArtificialIntelligence #ML pic.twitter.com/vJaXNzhtwNPhantom MK-1: Foundation’s New Humanoid #Robot Aimed at Factories and High-Risk Environments
by @IntEngineering #Robotics #MachineLearning #ArtificialIntelligence #ML -
Closer Look at Replit x Alif Hackathon
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A closer look at Replit x Alif Hackathon. pic.twitter.com/sj2iain1RN
— Replit ⠕ (@Replit) 29 mars 2026A closer look at Replit x Alif Hackathon.
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Reinforcement Learning as Time Travel for Rewards
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Reinforcement learning is time travel for rewards.
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MLB Adopts Sony Computer Vision AI for Ball-Strike Calls
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69% of baseball fans say they'd rather have a computer vision AI system call balls and strikes than a human umpire.
— The Rundown AI (@TheRundownAI) 29 mars 2026
This season, the MLB gave them one.
For the first time in league history, a human ump's ball-strike call is not final. A Sony computer vision system called… pic.twitter.com/MsbZYcy1ih69% of baseball fans say they'd rather have a computer vision AI system call balls and strikes than a human umpire. This season, the MLB gave them one. For the first time in league history, a human ump's ball-strike call is not final. A Sony computer vision system called
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Research-driven AI company focused on practical applications
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Fully opensource stack, and I trust their mission than I trust Intel (which NVIDIA is in an investor in btw) Do people not realize that we need healthy competition for local inference? I am hoping to actively help mature that stack myself btw
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Agentic AI: Beyond Intelligence to Execution
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Agentic AI = more than intelligence • Proactive decisions
• Goal-driven actions
• Context awareness
• Real-time learning
• Human collaboration
• Resource optimization
• Scalability
• Ethics It’s not about answers anymore.
It’s about execution. #AgenticAI #AI -
Claude Code MCPs Slack Integration: Where Open Claw Fits
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If Claude Code is already connected to Slack via MCP then in the steps you outlined: >you tell Claude Code something
>Claude Code calls messages_send
>Slack message sent Where does Open Claw even come in? Why do we need the Claw if Claude Code + MCPs can do it all? -
Codex Security Research Preview Now Available for Testing
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Seeing a lot of interest here! If you want to try Codex Security, you can read more about how it works and early findings on our blog: https://
openai.com/index/codex-se
curity-now-in-research-preview/
… And here’s how to get started: https://
developers.openai.com/codex/security
/setup
…