๐ Browsing Evolution, Meta's VR Challenge, Streamlining AI Tech
Todayโs pick
Arc Search combines browser, search engine, and AI into something new and different. A few minutes ago, I opened the new Arc Search app and typed, โWhat happened in the Chiefs game.โ That game, the AFC Championship, had just wrapped up. Normally, I'd Google it, click on a few links, and read about the game that way. But in Arc Search, I typed the query and tapped the โBrowse for meโ button instead. By David Pierce via The Verge
๐: a little Sunday surprise for youโฆ meet @browsercompany's 2nd product: Arc Search it's a default browser for your iPhoneโฆ that BROWSES FOR YOU - Josh Miller (@joshm)
Meta Welcomes Headset War With Apple. The social-media company wagered its reputation on the technology in 2021, changing its name to reflect an expansive vision that the future would rest in immersive virtual worlds. By Salvador Rodriguez via WSJ ย ย
๐: Anyone that doesnโt recognize how consequential the launch of Vision Pro is fundamentally doesnโt understand the XR industry. This is the biggest thing to happen since Facebook bought Oculus in 2014. - Ben Lang (@benz145)
The best way to reach new readers is through word of mouth. If you click THIS LINK in your inbox, itโll create an easy-to-send pre-written email you can just fire off to some friends.
Paper page - SliceGPT: Compress Large Language Models by Deleting Rows and Columns. Large language models have become the cornerstone of natural language processing, but their use comes with substantial costs in terms of compute and memory resources. Sparsification provides a solution to alleviate these resource constraints, and recent works have shown that trained models can be sparsified post-hoc. By Saleh Ashkboos via Hugging Face
๐: Microsoft presents SliceGPT Compress Large Language Models by Deleting Rows and Columns. Show that SliceGPT can remove up to 25% of the model parameters (including embeddings) for LLAMA2-70B, OPT 66B and Phi-2 models while maintaining 99%, 99% and 90% zero-shot task performance of the dense model respectively. - AK (@_akhaliq)
Building Unorthodox Deep Learning GPU Machines. ย When you look at building a deep learning machine, almost all of the information out there is based around consumer-grade materials and parts that the typical gaming enthusiast is familiar with. Threadrippers, premium Intel CPUs, gaming boards catered to working with SLI bridges and PCIe risers, and so forth. These work, but thereโs massive competition for them amongst gamers, power users, and deep learning enthusiasts alike. By Kyle Boddy via kyleboddy.com
๐: First post in this series goes over our GPU cluster build and why you should scour the Internet for good rack-mounted server deals - not gaming machines. - Kyle Boddy (@drivelinekyle)
Hottest Job in Corporate America? The Executive in Charge of A.I.. In September, the Mayo Clinic in Arizona created a first-of-its-kind job at the hospital system: chief artificial intelligence officer. Doctors at the Arizona site, which has facilities in Phoenix and Scottsdale, had experimented with A.I. for years. But after ChatGPTโs release in 2022 and an ensuing frenzy over the technology, the hospital decided it needed to work more with A.I. and find someone to coordinate the efforts. By Yiwen Lu via The New York Times
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