The likely future. How long before everyone is using AI assistants via wearables? Does it represent an exit direction for LLM startups desperate to make money? How hard or costly is it to replicate the tech? Would love to hear serious thoughts on this.
HARDWARE
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CUDA and C++ Origins Behind AlexNet’s Deep Learning Revolution
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# CUDA/C++ origins of Deep Learning Fun fact many people might have heard about the ImageNet / AlexNet moment of 2012, and the deep learning revolution it started. https://
en.wikipedia.org/wiki/AlexNet What's maybe a bit less known is that the code backing this winning submission to the -
Cybertruck Experience Changes Perspective on Future Vehicles
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Ok. I've officially seen the Cybertruck now. Wasn't a big believer before – seemed too scifi / extravagant (but obv very cool!) a vehicle to be considered something you'd actually drive. But… well, let's just say you definitely need to see it to believe it.
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cuBLASLt and cuDNN Dependencies for Optimized Performance
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Yes, cuBLASLt for gemms, cuDNN for flash attention
The fp32 version will become more educational and will delete these dependencies. The "mainline" version we just want to be really fast, so we're less discriminating. cuBLASLt I think is ~ok dep, but cuDNN turned out surprisingly -

UAI’s Automotive AI Accelerator: EV and ADAS Integration
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UAI's @beach66 joined @sallywf on @eetimes
' "AI with Sally" podcast to discuss our automotive #AI #accelerator plans: Collab with @Arm for efficient #EVs Flexible architecture for #ADAS & voice AI Timeline for #vehicle platform integration https://
eetimes.com/podcasts/autom
otive-ai-adas-functional-safety-and-chiplets/
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Rodney Brooks visits Matic Robots and praises their engineering
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Thanks @mehul and @navneetdalal for showing me around your company @maticrobots and sharing your passion for exquisitely well engineered solutions to hard problems using clever mixtures of mechanical design and just enough silicon compute.
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MacBook Pro M2/M3 pricing impacts personal laptop ownership trends
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A good M2/M3 MacBook Pro is $4,000+ I imagine a lot of people no longer have a personal laptop in the same class as their work laptop these days
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MacBook M1 Pro achieves 20-25 tokens per second performance
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Totally, depends on the usecase and the number of users you concurrently want to serve. I get 20-25 tokens/sec on my Macbook M1 pro 16 GB.
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Qualcomm AI growth and Enovix hardware validation in phones
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Enovix’s saying they are moving to “development” with one unnamed phone company customer was the surprise of the evening. Sell-side most interesting: Qualcomm’s AI luster, Enovix’s validation Qualcomm’s sales to Chinese phone makers suggest artificial intelligence upside,
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Received Rabbit R1, asking for opinions and suggestions
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Guys, I just received my Rabbit R1!! Any thoughts? What should I try???? So excited.
