A deeper follow up from Paul Conyngham on his amazing story of creating a cancer treatment for his rescue dog Rosie using AI:
INNOVATION
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HighByte validates factory sensor data for AI models
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#paidpartnership with @HighbyteInc
— Lucian Fogoros (@fogoros) 27 mars 2026
Everyone talks about which AI model to pick, but is their factory data good enough to feed it? HighByte Intelligence Hub validates and contextualizes data from thousands of sensors before it ever touches an algorithm.
Hannover Messe, Hall 15,… pic.twitter.com/yhAJE9yUrZ#paidpartnership with @HighbyteInc Everyone talks about which AI model to pick, but is their factory data good enough to feed it? HighByte Intelligence Hub validates and contextualizes data from thousands of sensors before it ever touches an algorithm.
Hannover Messe, Hall 15, -
TensorFlow natively runs on MacBook Pro M4 finally
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I just installed TensorFlow nightly 2.22.0-dev20260326 on my MacPro Max M4 with Python 3.13. Almost a year after I bought it I can *finally* run TensorFlow natively on the bare metal on this machine.
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Multi-Agent Self-Evolution for LLM Reasoning
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// Multi-Agent Self-Evolution for LLM Reasoning // Most self-play methods for LLM reasoning lack explicit planning and quality control. This leads to unstable training on complex multi-step tasks. New research introduces a cleaner closed-loop approach. SAGE co-evolves four
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From Data to AI Agents: The New Business Paradigm
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2016: here is a lot of data, build me a business! 2026: here are a lot of agents, build me a business!
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Microsoft and Crusoe Launch 900MW AI Factory in Texas
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Great way to wrap up the week! We’re partnering with Crusoe on a 900MW AI factory in Abilene, Texas. Super excited to add more capacity to our AI fleet. https://
crusoe.ai/resources/news
room/crusoe-announces-new-900-mw-ai-factory-campus-in-abilene-texas-to-support-microsoft-ai-infrastructure
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Mojo Kernels: Reducing conv2d Code from 870 to 130 Lines
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130 lines instead of 870. That's the difference between our conv2d implementation on Blackwell and CUTLASS's. We broke kernels into three swappable pieces: one for moving data, one for coordinating the pipeline, one for compute. When you need a new kernel, you only change the piece that actually needs to change. Part 3 of our Structured Mojo Kernels series walks through the details: modular.com/blog/structured-…
→ View original post on X — @jeremyphoward, 2026-03-27 15:00 UTC
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SambaNova RDU: Dataflow Architecture for Efficient AI Processing
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Want faster, more efficient AI? It starts with dataflow—the natural way AI models process data. Our RDU is built for exactly that. See how it works: https://
sambanova.ai/products/dataf
low-architecture?utm_source=x&utm_medium=organic&utm_campaign=developer
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ChatGPT Pro Access for Open Source Developers via Codex
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did we set you up with ChatGPT Pro as part of Codex for Open Source? if not, DM me!