Today is the last day to sign up to join our VP of #AI Matthew Mattina for our 'Building Computers for AI' Webinar tomorrow at 2:30 pm ET. Find out more here –> http://
tenstorrent.com/webinar #hardware #software
HARDWARE
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Building Computers for AI: Webinar with Tenstorrent VP
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Vision Pro and VR Follow Computing Platform Price Decline Pattern
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Excited for Vision Pro. With Meta and now Apple investment, VR will follow the same pattern as past computing platforms, quickly becoming cheaper, faster, lighter, etc.
— Chris Dixon (@cdixon) 5 juin 2023
(Reminder that at launch the original Apple 2 cost $1300 — that’s $6K in today’s dollars). https://t.co/IgEgSBJkjXExcited for Vision Pro. With Meta and now Apple investment, VR will follow the same pattern as past computing platforms, quickly becoming cheaper, faster, lighter, etc. (Reminder that at launch the original Apple 2 cost $1300 — that’s $6K in today’s dollars).
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Apple’s Vision Team Contradicts Face Computer Strategy for Kids
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Apple: our vision team is going to make sure your kids go outside and aren't too close to the iPad Also Apple: face computer go brrr
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Apple Vision Pro: Expensive Now, Cheaper Versions Coming Soon
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And here is the Apple Vision Pro: cool tech but expensive too. Expect lower cost non-Pro versions in the future.
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Spatial Computing Emerges as Next Major Technology Frontier
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Yeah Spatial Computing is the real next big thing. All in.
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IoT Skills and Expertise for Legacy System Upgrades
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Advancing new IoT initiatives and upgrading existing legacy systems call for the skills and expertise of developers, architects, engineers, and a variety of other IoT professionals. Source @101Blockchains Link https://
bit.ly/3qjXzhO via @antgrasso #IoT #IIoT #skills -
Apple’s Transformer Model for Autocorrect on Neural Engine
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Autocorrect/Dictation now leverages a transformer-based model using Apple Silicon/Neural Engine… with no info on how it's inferenced. Is this an Apple-based LLM from scratch or something fine-tuned? Or something diff altogether? (Knowing the company it's probably the former.)
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LLaMA Inference on Mac Studio with 192GB Memory
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You can literally inference LLaMA. And that 192GB in the new Mac Studio is way more than enough to go beyond the 13B param model.