Dr. Rhonda Patrick
Eccentric exercises, which emphasize lowering a weight rather than lifting it, increase muscle size and strength with fewer repetitions.
Untrained participants who lowered weights had similar gains to those who lifted & lowered weights - but they performed half the repetitions.
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Eccentric exercises, which emphasize lowering a weight rather than lifting it, increase muscle size and strength with fewer repetitions.
Untrained participants who lowered weights had similar gains to those who lifted & lowered weights - but they performed half the repetitions.
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Offshore
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Vova “words are a motherfucker” Zakharov
RT @vovahimself: @bakztfuture Jokes apart, one reason I can be clear and unfazed about the idea of consciousness in AI is that I took the time, actually two times, to read and internalize “The Conscious Mind” back in my early 20s.
If anyone hasn’t read it yet, please, for the sake of humanity, do. https://t.co/iIx846xDK1
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RT @vovahimself: @bakztfuture Jokes apart, one reason I can be clear and unfazed about the idea of consciousness in AI is that I took the time, actually two times, to read and internalize “The Conscious Mind” back in my early 20s.
If anyone hasn’t read it yet, please, for the sake of humanity, do. https://t.co/iIx846xDK1
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Robert Scoble
“I would never buy a car from that man.”
“So you would buy an inferior product?”
“The others have caught up.”
“@live_munro shows they haven’t and he tears them all apart and shows you.”
“I hate Elon.”
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“I would never buy a car from that man.”
“So you would buy an inferior product?”
“The others have caught up.”
“@live_munro shows they haven’t and he tears them all apart and shows you.”
“I hate Elon.”
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elvis
Scalable Diffusion Models with Transformers
Introduces Diffusion Transformers... replaces convolutional U-Net backbone with a Transformer giving way to a new class of diffusion models with "good scaling properties" and SoTA performance.
https://t.co/IBMvm2Vhgt https://t.co/T2cMmM6G6V
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Scalable Diffusion Models with Transformers
Introduces Diffusion Transformers... replaces convolutional U-Net backbone with a Transformer giving way to a new class of diffusion models with "good scaling properties" and SoTA performance.
https://t.co/IBMvm2Vhgt https://t.co/T2cMmM6G6V
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AK
BEATs: Audio Pre-Training with Acoustic Tokenizers
abs: https://t.co/OqDRTEzTOT https://t.co/I2zP9WaxXN
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BEATs: Audio Pre-Training with Acoustic Tokenizers
abs: https://t.co/OqDRTEzTOT https://t.co/I2zP9WaxXN
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Yann LeCun
RT @schrep: Unpopular opinion. Self-driving will progress rapidly in the next few years.
https://t.co/9FvsG3OSxy
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RT @schrep: Unpopular opinion. Self-driving will progress rapidly in the next few years.
https://t.co/9FvsG3OSxy
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AK
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
abs: https://t.co/MtSeqOUmuI https://t.co/ibEjXfAtz6
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MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
abs: https://t.co/MtSeqOUmuI https://t.co/ibEjXfAtz6
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AK
Point·E: A System for Generating 3D Point Clouds from Complex Prompts
abs: https://t.co/heHZOKVVMD
github: https://t.co/cE1W9nFjlj https://t.co/s18A5OorTM
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Point·E: A System for Generating 3D Point Clouds from Complex Prompts
abs: https://t.co/heHZOKVVMD
github: https://t.co/cE1W9nFjlj https://t.co/s18A5OorTM
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elvis
Quantization helps to build more efficient models. This paper shows that 4-bit precision "is almost universally optimal for total model bits and 0-shot accuracy." The chart shows bit-level scaling laws for performance across different OPT model sizes.
https://t.co/jmY6Au1BD3 https://t.co/H6ScxJLuKz
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Quantization helps to build more efficient models. This paper shows that 4-bit precision "is almost universally optimal for total model bits and 0-shot accuracy." The chart shows bit-level scaling laws for performance across different OPT model sizes.
https://t.co/jmY6Au1BD3 https://t.co/H6ScxJLuKz
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AK
Evaluating Human-Language Model Interaction
abs: https://t.co/ZmRXsyX01e https://t.co/WtEbS9eg9F
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Evaluating Human-Language Model Interaction
abs: https://t.co/ZmRXsyX01e https://t.co/WtEbS9eg9F
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