AI-Assisted Programming for Web and Machine Learning โ Improve your development workflow with ChatGPT and GitHub Copilot: https://
amzn.to/48TFU2Z by @chris_noring v/ @PacktDataML ๐๐ฎ๐ ๐๐ฎ๐ช๐ฝ๐พ๐ป๐ฎ๐ผ:
Utilize prompts to enhance frontend & backend web development.
Develop
COMPUTING
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Advanced Computational Geometry in AI Hardware and Software
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Scobleizer tests new AI architecture
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I use a cognitive architecture from https://
levangielabs.com (am the first non enterprise user to have access to this new form of AI). It pulls down all new posts from the X API. Then analyzes them. You'll see more of its work within days as @blevlabs gets up a site it builds. -
AI Agents Summarize X Tech News in One Hour
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And here's today's AI news from X as a video.
— Robert Scoble (@Scobleizer) 10 mars 2026
In an hour I had my AI agents read all of tech on X, find all the important news, papers, and much more. Write a report. Bring that report over to @NotebookLM. Then create all this and post it back to you.
It's all X. https://t.co/5IA1vDPBRR pic.twitter.com/tRsopCmv7EAnd here's today's AI news from X as a video. In an hour I had my AI agents read all of tech on X, find all the important news, papers, and much more. Write a report. Bring that report over to @NotebookLM
. Then create all this and post it back to you. It's all X. -
Storage Buckets: S3-like mutable storage for AI workloads
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We just shipped Storage Buckets: S3-like mutable storage, cheaper & faster Git falls short for everything on high-throughput side of AI (checkpoints, processed data, agent traces, logs etc) Buckets fixes that: fast writes, overwrites, directory sync All powered by Xet
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Human-AI Collaboration on Next Generation Hardware with NVIDIA
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Building technologies for better human-AI collaboration on next gen hardware at scale. Exciting. Thinking Machines (@thinkymachines) We are partnering with @nvidia to power our frontier model training and platforms delivering customizable AI. thinkingmachines.ai/news/nvidia-partnership/ [Translated from EN to English]
โ View original post on X โ @lilianweng, 2026-03-10 17:08 UTC
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Tenstorrent Shipping 56 800Gig Ethernet Port Galaxies
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Super busy 2 months, great progress @Tenstorrent 56 800Gig Ethernet port Galaxies shipping
โ View original post on X โ @tenstorrent, 2026-03-10 16:59 UTC
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TAT-8: The First Transatlantic Cable Being Removed From Ocean Floor
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Fun fact: The first transatlantic internet cable is being pulled off the ocean floor right now.
— Rowan Cheung (@rowancheung) 10 mars 2026
Almost no one knows it's happening.
TAT-8 went live in 1988. First fiber-optic cable to connect Europe and the US.
Isaac Asimov called it a "maiden voyage across the sea on a beamโฆ pic.twitter.com/8ALwcPLkkeFun fact: The first transatlantic internet cable is being pulled off the ocean floor right now. Almost no one knows it's happening. TAT-8 went live in 1988. First fiber-optic cable to connect Europe and the US. Isaac Asimov called it a "maiden voyage across the sea on a beam of light." The engineers behind it genuinely believed it might be the last transatlantic cable the world would ever need. The tech was so far ahead of copper they thought global bandwidth was solved. But it filled to capacity within 18 months. That forced the industry to immediately start laying more cables, a race between demand and infrastructure that still hasn't stopped. After developing a fault too expensive to fix, the cable was retired in 2002. It's been sitting on the seabed ever since. Now a small crew aboard this ship is dragging it back up. Meanwhile, Meta announced Project Waterworth last year, a 50,000 kilometer cable stretching across 5 continents, partly to feed the data demands of AI. …The entire global internet runs on cables like this, built and maintained by a few thousand people working in places most of us will never see.
โ View original post on X โ @rowancheung, 2026-03-10 16:13 UTC
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Data Engineering Guide: Build Scalable Pipelines Faster
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Data engineering is getting more complex, but it doesn't have to slow you down. The Big Book of Data Engineering is a practical guide packed with how-tos, code snippets, and real-world examples to help you build and scale pipelines faster and deliver high-quality data for AI,
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Running Claude Code with Local Models on Home GPUs
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I think langgraph/smith is generating solid revenue though last public report was a bit ago