What kind of machine do you have? Will have my AI analyze everything for you in the morning
COMPUTING
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What machine are you running on hardware discussion
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I will have a report tomorrow morning. Out with friends now. What kind of machine are you running on?
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Doug Engelbart’s Legacy: America’s Tech Pioneer Grandpa
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We're still trying to catch up to Doug Engelbart, who is the ultimate grandpa and won America's highest honor for that fact. Everybody will get it someday.
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Anduril’s 400 Global Telescopes Track Space Objects Real-Time
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Pictured: Orion – 30,000 miles above Earth on the Artemis II mission – separating from the rocket's upper stage.
— Anduril Industries (@anduriltech) 3 avril 2026
Anduril now has over 400 telescopes around the globe. Advanced space sensing software provides real-time focal plane processing to identify & track objects. Think… pic.twitter.com/0IqwwlpirwPictured: Orion – 30,000 miles above Earth on the Artemis II mission – separating from the rocket's upper stage. Anduril now has over 400 telescopes around the globe. Advanced space sensing software provides real-time focal plane processing to identify & track objects. Think Sentry Tower software, but for space.
→ View original post on X — @paulroetzer, 2026-04-03 21:13 UTC
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From ASCII Art to 3D Graphics on Mobile Devices
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Back in the Apple II days people would call up our BBS and drop off some files of ASCII art. No GPUs back then.
— Robert Scoble (@Scobleizer) 3 avril 2026
If you told me that someday I would be able to view color scenes mapped out in depth like this on a device I held in my hand I would have told you to pass the joint so… https://t.co/djymZ9nOaxBack in the Apple II days people would call up our BBS and drop off some files of ASCII art. No GPUs back then. If you told me that someday I would be able to view color scenes mapped out in depth like this on a device I held in my hand I would have told you to pass the joint so
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Local AI Models Will Run on Slower Computers Weekly
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That's so true. More locally run models will arrive every week and run on slower and slower computers. And if you think this year is gonna be nuts (it will) next year will be even more so as we start heading into a completely AI-driven 3D ecosystem that we interact with on
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Keras Kinetic Fine-Tuning Tutorial for LLMs on JAX TPU Stack
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Good tutorial on using Keras Kinetic to fine-tune LLMs on the Keras + JAX + TPU stack! Kuan Hoong (@kuanhoong) Fine-Tuning Gemma 2B on PubMedQA: Building a Medical Q&A Assistant with LoRA, Keras Kinetic, and Cloud TPU kuanhoong.medium.com/fine-tu… #TPUSprint — https://nitter.net/kuanhoong/status/2039827630661517753#m
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NVIDIA Claims Lowest Cost Per Token in AI Economics
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“NVIDIA’s cost per token is the lowest in the world.” — Jensen Huang, Founder & CEO of NVIDIA
— NVIDIA (@nvidia) 3 avril 2026
Token generation cost is a direct result of architecture excellence and extreme co-design, not just compute cost. Lowest cost per token and highest performance per watt are definitive… pic.twitter.com/7SUVDp84XI“NVIDIA’s cost per token is the lowest in the world.” — Jensen Huang, Founder & CEO of NVIDIA Token generation cost is a direct result of architecture excellence and extreme co-design, not just compute cost. Lowest cost per token and highest performance per watt are definitive measures of AI economics and the key to unlocking maximum profitability and AI revenue. ➡️ nvda.ws/47I03Jx
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Teams Behind AI Chip Development: From Concept to Tapeout
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It takes a lot of teams to build an AI chip. 🦾
— SambaNova (@SambaNovaAI) 3 avril 2026
During his @TEDTalks, @RodrigoLiang highlights some of the groups that come together to get us from concept to tapeout. 🚀
Watch his full talk 👇https://t.co/19qDsfi9vM pic.twitter.com/WYrinSwOfLIt takes a lot of teams to build an AI chip. 🦾 During his @TEDTalks, @RodrigoLiang highlights some of the groups that come together to get us from concept to tapeout. 🚀 Watch his full talk 👇 bit.ly/41G3vAO
→ View original post on X — @sambanovaai, 2026-04-03 19:00 UTC
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Keras Kinetic: Run Jobs on TPU/GPU in Cloud
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Perhaps the craziest thing that was introduced on the Keras community call today: Keras Kinetic, a new library that lets you run jobs on cloud TPU/GPU via a simple decorator — like Modal but with TPU support. When you call a decorated function, Kinetic handles the entire remote execution pipeline: – Packages your function, local code, and data dependencies – Builds a container with your dependencies via Cloud Build (cached after first build) – Runs the job on a GKE cluster with the requested accelerator (TPU or GPU) – Returns the result to your local machine (logs are streamed in real time, and the function's return value is delivered back as if it ran locally) [Translated from EN to English]