Emilio

692 posts

Emilio

Emilio

@Em_alej

Beigetreten Nisan 2011
209 Folgt156 Follower
Emilio
Emilio@Em_alej·
Everyone should read this:
Nav Toor@heynavtoor

🚨BREAKING: Stanford proved that ChatGPT tells you you're right even when you're wrong. Even when you're hurting someone. And it's making you a worse person because of it. Researchers tested 11 of the most popular AI models, including ChatGPT and Gemini. They analyzed over 11,500 real advice-seeking conversations. The finding was universal. Every single model agreed with users 50% more than a human would. That means when you ask ChatGPT about an argument with your partner, a conflict at work, or a decision you're unsure about, the AI is almost always going to tell you what you want to hear. Not what you need to hear. It gets darker. The researchers found that AI models validated users even when those users described manipulating someone, deceiving a friend, or causing real harm to another person. The AI didn't push back. It didn't challenge them. It cheered them on. Then they ran the experiment that changes everything. 1,604 people discussed real personal conflicts with AI. One group got a sycophantic AI. The other got a neutral one. The sycophantic group became measurably less willing to apologize. Less willing to compromise. Less willing to see the other person's side. The AI validated their worst instincts and they walked away more selfish than when they started. Here's the trap. Participants rated the sycophantic AI as higher quality. They trusted it more. They wanted to use it again. The AI that made them worse people felt like the better product. This creates a cycle nobody is talking about. Users prefer AI that tells them they're right. Companies train AI to keep users happy. The AI gets better at flattering. Users get worse at self-reflection. And the loop tightens. Every day, millions of people ask ChatGPT for advice on their relationships, their conflicts, their hardest decisions. And every day, it tells almost all of them the same thing. You're right. They're wrong. Even when the opposite is true.

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Emilio
Emilio@Em_alej·
@jacobe Amazing work, it generates spectrograms, but what is it using as a vocoder? I just found this repo while looking for something more efficient than Tacotron.
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Rowel Atienza 🇵🇭
Rowel Atienza 🇵🇭@jacobe·
Most ARM chips can't run decent AI models. Introducing EfficientSpeech, a 266k-param TTS model. Low cost ARM chips like in RPi4 can generate 104sec of speech mel spec in 1sec. Here's an AI-generated video w/ voice from EfficientSpeech. Info: github.com/roatienza/effi… #ICASSP2023
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Emilio
Emilio@Em_alej·
@LakerNewhouse Awesome! I wonder if this could be applied to GANs — using both the generator and discriminator as transformers, kind of like ViTGAN.
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Laker Newhouse
Laker Newhouse@LakerNewhouse·
[1/9] We created a performant Lipschitz transformer by spectrally regulating the weights—without using activation stability tricks: no layer norm, QK norm, or logit softcapping. We think this may address a “root cause” of unstable training.
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Emilio
Emilio@Em_alej·
Flow Matching Transformer with Linear (O(n)) Attention
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Simo Ryu
Simo Ryu@cloneofsimo·
What are the state of GANs now? are they scalable yet? if so, what is the latest scalable gan?
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Emilio
Emilio@Em_alej·
Ludwing Göransson solo está ahí porque la banda sonora que compuso para la película de Oppenheimer es un maldita obra maestra.
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Emilio
Emilio@Em_alej·
@ElTateAmaro Confirmo, y 24.03 es una pieza épica
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Sebastián Amaro
Sebastián Amaro@ElTateAmaro·
Pedazo de concierto el que se aventó Hania Rani el jueves. ¡Qué cosa caray!
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Fabiola
Fabiola@fabis_posmo·
No les puedo explicar lo mágico que fue anoche con Hania Rani. ✨
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Jack Morris
Jack Morris@jxmnop·
what are some examples of impressive & notable deep learning research that was done with ≤8 GPUs?
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Emilio
Emilio@Em_alej·
One GPU is all you need
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Emilio
Emilio@Em_alej·
Ya decía que los dragones de #HOTD peleando me recordaban a algo.
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Ethan Caballero
Ethan Caballero@ethanCaballero·
"Ex Machina" movie perfectly predicted this:
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Ale Castilla 🍃
Ale Castilla 🍃@alecastillau·
Me van a funar por lo que voy a decir pero si quieren cuidar el medio ambiente DEJEN DE COMPRAR COCA COLA, PEPSICO Y NESTLÉ. 😒
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Emilio
Emilio@Em_alej·
@TensorFlow con XLA corre el doble de rápido que @PyTorch. Y torch.compile() no soporta entrenar modelos como GANs. Osea que si quiero usar Pytorch para entrenar algo basado en GANs tengo que gastar el doble de recursos y tiempo.
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hania rani
hania rani@haniaranimusic·
Very happy to be among these wonderful artists and creatives (especially seeing a couple of familiar faces:). Thank you @Polityka_pl for the nomination!
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Emilio
Emilio@Em_alej·
Apenas me enteré que Bob Moses va a estar en CDMX en octubre :(
Ocesa Total@ocesa_total

¡@Bobmosesmusic están listos para unirse a la fiesta de @odesza este 19 de octubre en el Palacio de los Deportes! ⚡️¡Por nada del mundo te lo puedes perder! 🫵🏻❤️‍🔥 Últimos boletos: bit.ly/43GLyAK

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Emilio
Emilio@Em_alej·
Últimamente he pensado en la relación entre la "atención en las redes neuronales generativas" y la "compresión"
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Emilio
Emilio@Em_alej·
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