A Roadmap For Enterprise Leaders: Are You #AI-Ready?
by @rajesh05 @Forbes Learn more: https://
bit.ly/3PUJbcA #ArtificialIntelligence #MachineLearning #ML
MACHINE LEARNING
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Enterprise Leaders AI Readiness: A Strategic Roadmap
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Summarized thinking traces useful despite trade secret internal reasoning
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(thinking traces are always summaries of the internal reasoning, since the actual internal chain of thought is a trade secret, but that doesn't mean they aren't useful when summarized, especially when those summaries contain the tools used by the model and web searches it made)
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Tesla Self-Driving Navigates Dutch Roundabouts Successfully
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Tesla self-driving handles Dutch roundabouts well
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AI models debate power usage of local OpenClaw on Mac
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And if you are interested in the answer, Claude and ChatGPT 5.4 Pro think running OpenClaw with local inference on your Mac uses more total power. Gemini doesn't think so (but appears to have not thought about that too hard)
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Point-VLA: Robots Understanding Real-World Scenes Accurately
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How can we make robots understand exactly what we mean, even in the most cluttered real-world scenes? Researchers from Tongji University, Shanghai Jiao Tong University, Spirit AI, and Tsinghua University introduce Point-VLA. This innovative system supercharges robot
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DataAISummit 2026: Building Accurate Grounded AI Agents
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#DataAISummit 2026 is less than two months away! Join us June 15-18 for practical insights and real-world case studies on transforming your organization with data and AI.
— Databricks (@databricks) 12 avril 2026
Across 800+ sessions, you’ll hear from teams on how to:
• Build AI agents that are accurate and grounded… pic.twitter.com/Qjf8wehQmJ#DataAISummit 2026 is less than two months away! Join us June 15-18 for practical insights and real-world case studies on transforming your organization with data and AI. Across 800+ sessions, you’ll hear from teams on how to: • Build AI agents that are accurate and grounded
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JCBOT Wheeled Humanoid Combines Speed AI Interaction
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JCBOT Wheeled Humanoid Blends Speed, #AI Interaction and Home-Friendly Design
— Ronald van Loon (@Ronald_vanLoon) 12 avril 2026
via @XRoboHub#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/VS4J9xIzfcJCBOT Wheeled Humanoid Blends Speed, #AI Interaction and Home-Friendly Design
via @XRoboHub #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -
Comparing 26B A4B and 31B Model Performance
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Have you tried the 26B A4B one? I've been impressed by it, I've not compared it to the 31B yet though
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GitHub Repository: Andrej Karpathy Skills Learning Resource
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GitHub repo: github.com/forrestchang/andr…
→ View original post on X — @akshay_pachaar, 2026-04-12 17:02 UTC
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AI Predictive Maintenance: From Knowing to Doing
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Velocity indicators beat lagging indicators. Lagging: dashboard shows machine running hot. Velocity: AI recommends specific bearing replacement during scheduled 2-hour window next Tuesday. From knowing to doing changes everything. pic.twitter.com/a7by2oyiPS
— Lucian Fogoros (@fogoros) 12 avril 2026Velocity indicators beat lagging indicators. Lagging: dashboard shows machine running hot. Velocity: AI recommends specific bearing replacement during scheduled 2-hour window next Tuesday. From knowing to doing changes everything.