Simulations of the real world aren't good enough. What does it feel like to have water run through your fingers, or embrace in a warm hug? The feeling of doing a handstand or a plate slipping out of your finger tips? Robot sensors, proprioception, simulation still need work imo.
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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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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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 -
Architectural Cleverness Cannot Compensate for Raw Scaling Gap
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http://
incompleteideas.net/IncIdeas/Bitte
rLesson.html
… is about the surprisingly limited impact of architectural cleverness versus raw scaling. I am analogizing to suggest that a radical hardware architecture like https://
en.m.wikipedia.org/wiki/Cerebras probably won’t make up for being back a few stages, but hope springs -
Applied Materials Divests Multi-Billion Investment Amid Stock Decline
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Applied Materials sells off: multi-billion-dollar investment to be announced Monday Keep in mind the stock is eighty-three percent off its 52-week low. https://
thetechnologyletter.com/the-posts/appl
ied-materials-sells-off-multi-billion-dollar-investment-to-be-announced-monday
… $AMAT $KLAC $LRCX $ASML #investing #semiconductors #China