I have my AVP on order and expecting it on Friday. Can't wait to play with it and make content around it.
HARDWARE
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Grayskull and Tenstorrent roadmap discussion
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@IanCutress and @sallywf talk Grayskull and the #tenstorrent roadmap on the latest @TechTechPotato
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GPU Computing Solutions for AI Model Training
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Not a stupid question at all. I currently use a VM I have access to via Replicate. But before that I used lambda labs: https://
replicate.com/docs/guides/ge
t-a-gpu-machine
… I’ve done some cpu models on Mac. cc @anotherjesse -

Tech Earnings Season: Netflix, IBM Shine Amid AI Wave
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The TL Podcast for January 29th: The thick of earnings season Netflix and IBM shone while Intel and Tesla were duds as prime time for earnings season gets underway, and software and semiconductors ride a wave of excitement for AI in 2024. https://
thetechnologyletter.com/the-posts/the-
tl-podcast-for-january-29th-the-thick-of-earnings-season
… Or catch it on -

Electronics Manufacturers Beat Expectations: Signal Strong Tech Demand
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Here’s a good sign for global economic trends: two contract electronics manufacturers, Celestica and Sanmina, companies that manufacture things for other companies for a fee, both reported earnings results for the December-ending quarter that were higher than expected. Sell-side
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JAX vs PyTorch: TPU, GPU, CPU Performance Comparison
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Knowing all the development history, I'd say — JAX+XLA will be better on TPUs and slightly better on bf16 compatibility.
PyTorch will be better on NVIDIA and AMD GPUs, server-class and desktop-class CPUs, fp16 compat, vastly better on dynamic-shaped workloads.
They'll probably -

AI’s Impact on Jobs and Emerging Workplace Technologies
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Top stories in AI today: -Microsoft maps AI's coming impact on jobs
-OpenAI courts chip giants in South Korea -Feature your logo in a video with Runway
-AI-powered robot achieves record braille reading speed
-7 new AI tools & 4 new AI jobs Read more: http://
therundown.ai/p/ais-future-i
n-workplace
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JAX TPU Performance Limits Hardware Portability Claims
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would you draw a wider conclusion such as "hardware portability"?
I read the paper and concluded "JAX + TPU is unbeatable". It's hard to conclude anything more general.
The paper doesn't cover any other set of hardware — AMD, Trainium, GraphCore, etc. -

Neuralink’s Pager Monkey Mastered Pong via Brain Interface
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I remember writing this thread on Neuralink’s work with Pager the monkey a year ago.
— Rowan Cheung (@rowancheung) 30 janvier 2024
TL;DR: Pager learned how to play pong at an insane difficulty (better than most humans) using his brain via Neuralink.
Mindblowing.https://t.co/pGMHtohZpLI remember writing this thread on Neuralink’s work with Pager the monkey a year ago. TL;DR: Pager learned how to play pong at an insane difficulty (better than most humans) using his brain via Neuralink. Mindblowing.
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Neuralink completes first human brain chip implant
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Elon just revealed that the first Neuralink brain chip in a human was completed.
— Rowan Cheung (@rowancheung) 30 janvier 2024
Imagine going back in time 10 years and telling people humans would solve telepathy in 2024.pic.twitter.com/92hRqp940ZElon just revealed that the first Neuralink brain chip in a human was completed. Imagine going back in time 10 years and telling people humans would solve telepathy in 2024.