if you want to see how we run engineering teams @every
, read this:
INNOVATION
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How We Run Engineering Teams
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Evolving Robot Hand: Versatile Adaptive Gripper for Multiple Applications
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Evolving #Robot Hand: A Versatile Adaptive Gripper for Manufacturing, Education, and Research
— Ronald van Loon (@Ronald_vanLoon) 22 mars 2026
via @ZappyZappy7
#AI #MachineLearning #ArtificialIntelligence #Innovation #Technology #ML pic.twitter.com/eYXYGKFHweEvolving #Robot Hand: A Versatile Adaptive Gripper for Manufacturing, Education, and Research
via @ZappyZappy7 #AI #MachineLearning #ArtificialIntelligence #Innovation #Technology #ML -
New Engineering Team Model: Pirate and Architect Roles
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new model for engineering team structure in 2026: 2 people only one pirate and one architect the pirate's job is to move as fast as possible to develop valuable, shipped product features by vibe coding. the architect's job is to turn the product surface discovered by the
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AIoT: Artificial Intelligence of Things with Machine Learning and Deep Learning
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Artificial Intelligence of Things AIoT: https://
techtarget.com/iotagenda/defi
nition/Artificial-Intelligence-of-Things-AIoT
… AIoT book v/ @PacktDataML → Hands-On AI for IoT — Expert #MachineLearning & #DeepLearning techniques for developing smarter IoT systems [2nd Ed.]: http://
amzn.to/3YAu6hS 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Leverage the -
Exclusive Self-Attention: Two-Line Transformer Improvement
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"Exclusive Self Attention" This paper proposed Exclusive Self-Attention (XSA), which is a tiny two-line change that stops attention from looking at itself. This forces it to focus on the rest of the sequence, and can make transformers more effective! This improves the
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AI Methods for Cybersecurity Solutions and Design
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Artificial Intelligence for Cybersecurity: http://
amzn.to/4gOK3rD v/ @PacktDataML ——
#AI #MachineLearning —— 𝒦𝑒𝓎 𝐹𝑒𝒶𝓉𝓊𝓇𝑒𝓈: Learn AI methods and see how they fit into cybersecurity Learn how to design solutions in cybersecurity that include AI as a key feature -
Schrödinger Bridges: Unified Foundation for Generative Models
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"Foundations of Schrödinger Bridges for Generative Modeling" This paper shows that diffusion models, score-based models, and flow matching are really just different views of the same core idea: a Schrödinger bridge that moves noise into data along the most efficient stochastic
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Lex Fridman Podcasts with Jensen Huang, NVIDIA CEO
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It was an honor to hang out with Jensen Huang, CEO of @nvidia, and do a long-form podcast with him. Really fun & fascinating technical deep-dive conversation on & off the mic. One of the most brilliant & thoughtful human beings I've ever met. NVIDIA is the most valuable company in the world by market cap and is the engine powering the AI revolution. Podcast probably out tomorrow (Monday) unless I get stuck in too many interesting conversations while running around in SF 😉 PS: I haven't checked my messages in days. Sorry for slow replies 🙏 Trying to stay deeply focused at in overwhelmingly intense time & barely hanging on. Love you all ❤️
→ View original post on X — @lexfridman, 2026-03-22 21:39 UTC
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The AI Org Chart Trap: Infographic on AI Strategy
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Infographic – The AI Org Chart Trap Source: https://
linkedin.com/posts/carolynh
ealey_your-ai-strategy-just-promoted-a-process-activity-7440030522887610368-E-DB
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Extropic Recruiting Scientists for Thermodynamic Computing
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Thermodynamic Computing is real, we are scaling it now and need the best scientists to join us to accelerate the disruption to the inefficient status quo.
— Gill Verdon (@GillVerd) 22 mars 2026
We are looking for more physicists (experimental and theoretical), algorithmists, and more @extropic pic.twitter.com/v7nfQxa7ksThermodynamic Computing is real, we are scaling it now and need the best scientists to join us to accelerate the disruption to the inefficient status quo. We are looking for more physicists (experimental and theoretical), algorithmists, and more @extropic
→ View original post on X — @willknight, 2026-03-22 21:23 UTC