i mean in this case it's cheating if they already are building for it they have access which means they got strong network, credibility, skills, etc but apple xr seems to be what we wanted from xr
AI HARDWARE
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Replacing Oculus VR with everyday technology alternatives
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My smartphone, my TV, my computer, zoom, my brain, my feet… I don’t feel like I’ve replaced the oculus with anything, per se, I just don’t do the things it wanted me to do (ie play ping pong with friends in another country)
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Essential features for next-generation AR glasses platforms
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Here’s my 1-2-3 punch (see tweet). Other things (as I think of VR, google glass, spectacles, XRAI etc): long battery life, able to work outside, doesn’t look absurd, low latency, big dev community, low-ish barriers to dev entry (apps > games), strong security.
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HPE and Tokyo Tech Build TSUBAME4.0 AI Supercomputer
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HPE and Tokyo Tech collaborate to build the next generation TSUBAME4.0 supercomputer for artificial intelligence, scientific research, and innovation #HPE #HPEDiscover #HPEinfluencer https://
hpe.com/us/en/newsroom
/press-release/2023/05/hpe-and-tokyo-tech-collaborate-to-build-the-next-generation-tsubame40-supercomputer-for-artificial-intelligence-scientific-research-and-innovation.html?utm_source=dlvr.it&utm_medium=twitter
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Facebook builds ML-focused Google Cloud competitor with LLaMA
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But there's another part of the story here: Facebook has built what seems to be a very early machine learning-focused prototype of.. Google Cloud. It has a training cluster technology it's developed, hardware for inference, and owns a massively popular OSS-ish LLM, LLaMA.
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AI Chip Startups Face Setbacks Amid Market Challenges
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Some of the hottest chip startups are now hitting snags. Graphcore laid off 160 people last year as a deal to supply Microsoft fell through, and SambaNova also went through some layoffs earlier this year. Cerebras has pushed hard into LLMs with its own OSS LLM models.
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Big Tech Invests in GPU Superclusters for AI Training
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Google allocated a portion of its i/o announcements to a new supercomputer—powered by H100s. Facebook's RSC announcement pointed out that it was powered by Nvidia A100s. Amazon and Microsoft have A100s. And while all have some form of custom silicon, it's largely in inference.
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Nvidia’s Dominance: Why Startups Failed to Compete
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With Facebook's announcement yesterday, the biggest players in the AI industry have coalesced around Nvidia for training. A pack of startups once sought to beat Nvidia, but the dream of beating Nvidia is a much taller one than imagined in 2016-2017.
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Meta Reimagines Infrastructure for the AI Age
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This week we shared updates on how we're reimagining Meta's infrastructure for the AI age.
— AI at Meta (@AIatMeta) 19 mai 2023
Want to get caught up?
⏪ Scroll back through the thread
📺 Watch the video below
🔗 Read more ➡ https://t.co/IjsoGucEnD pic.twitter.com/LlsQ2Pg3euThis week we shared updates on how we're reimagining Meta's infrastructure for the AI age. Want to get caught up? Scroll back through the thread Watch the video below Read more https://
bit.ly/3BAFhel -
Cerebras’ James Wang Discusses AI Hardware Innovation on ARK Podcast
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ICYMI – Cerebras' James Wang joined the ARK Investment Management LLC podcast to discuss everything going on with #AI and how Cerebras is pushing the frontier of AI hardware. Listen here: https://
hubs.li/Q01QxyT90