Ingmar Schuster

233 posts

Ingmar Schuster

Ingmar Schuster

@IngmarSchuster

Founder with a background in machine learning.

参加日 Şubat 2022
116 フォロー中59 フォロワー
Ingmar Schuster
Ingmar Schuster@IngmarSchuster·
@nathanbenaich So the business model for open source AI has to be around deployment/consulting of the model then I guess?
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Nathan Benaich
Nathan Benaich@nathanbenaich·
Wikipedia vs. Encarta is an analogy I’ve come back to many times re: competitive dynamics in AI. While neither Wikipedia nor Encarta were actually good money printing businesses, it’ll be different for AI, clearly.
Yann LeCun@ylecun

Open source AI foundation models will wipe out closed and proprietary AI models for the same reason Wikipedia wiped out generalist commercial encyclopedia: crowd-sourced human contributions to open platforms can cater to a high diversity of interests, cultures, and languages.

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Ingmar Schuster
Ingmar Schuster@IngmarSchuster·
@geoffreyhinton AI is not an existential threat, and way way way less dangerous than climate change.
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Geoffrey Hinton
Geoffrey Hinton@geoffreyhinton·
Andrew Ng is claiming that the idea that AI could make us extinct is a big-tech conspiracy. A datapoint that does not fit this conspiracy theory is that I left Google so that I could speak freely about the existential threat.
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Ingmar Schuster
Ingmar Schuster@IngmarSchuster·
@josipK Intellectually you're right. I think an "I stand with Israel" serves mostly emotional purposes and thus has its place. If somebody gets beaten up, their friends, kids, parents murdered and raped, they need emotional support. Then you can come back to principles of course
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Josip Krapac
Josip Krapac@josipK·
All this pro-Israel and pro-Palestine support gatherings (or anti-Israel or anti-Palestine protests) are wrong. It's *not* about taking sides. Taking side is *not* helping bring peace. It's about supporting principles: pro-peace, pro-prosperity, anti-terror and anti-destruction.
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Ingmar Schuster
Ingmar Schuster@IngmarSchuster·
@SamuelAinsworth This is super great! So basically it's glue code connecting the torch API with a Jax backend?! I'm astounded it takes so few lines of code
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Samuel "curry-howard fanboi" Ainsworth
Announcing torch2jax! Run PyTorch code natively in JAX. 🤝 Mix-and-match PyTorch and JAX code with seamless, end-to-end autodiff, use JAX classics like jit, grad, and vmap on PyTorch code, and run PyTorch models on TPUs.
Samuel "curry-howard fanboi" Ainsworth tweet media
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Fabian Pedregosa
Fabian Pedregosa@fpedregosa·
Surprising property mentioned to me by @gowerrobert about the stochastic Polyak step-size variant below is that the iterate error is monotonically decreasing with just (star) convexity. Note decrease is _not_ in expectation! What other stochastic methods have this property?
Fabian Pedregosa tweet media
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Ingmar Schuster
Ingmar Schuster@IngmarSchuster·
@fpedregosa 🤔 this is interesting indeed. Conjecture that large mini-batches are required goes against the advice "as small as possible batches" in this other cool work: arxiv.org/abs/2306.04815 which is about SGD in particular for NN generalization
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Ingmar Schuster
Ingmar Schuster@IngmarSchuster·
We also delve into the question of AI biases and whether machines are conscious by now. 📺 Now streaming on YouTube and across all your podcast platforms.
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Ingmar Schuster
Ingmar Schuster@IngmarSchuster·
🎙️ Machines, Molecules and …? We're back with another episode of "Machines and Molecules," where we explore the intersections of science, AI, and human experiences.
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Rona Wang
Rona Wang@ronawang·
saw a dating app profile that listed the guy’s SAT score
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Ingmar Schuster
Ingmar Schuster@IngmarSchuster·
@syhw This is great Gabriel! Any plans to make this easily usable in IDEs/code editors?
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Gabriel Synnaeve
Gabriel Synnaeve@syhw·
I'm very thankful for everybody from the team who worked on this in the past few months, and thankful for all the partners who helped with the release. 7/7
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Gabriel Synnaeve
Gabriel Synnaeve@syhw·
Happy to be releasing Code Llama! We've built it on Llama 2 and improved it for code use cases. In particular it supports infilling out of the box, and was trained with sequences up to 16k tokens. Looking forward to what the community will build with it! 1/7
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Ingmar Schuster
Ingmar Schuster@IngmarSchuster·
We nerd out about "all models are wrong, but some are useful," by talking about model misspecification, and discuss how FX has grown during his academic career.
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Ingmar Schuster
Ingmar Schuster@IngmarSchuster·
🎙️ Machines, Molecules and …? We're back with another episode of "Machines and Molecules," where we delve deep into the intersections of science with machine learning and stats, learning from a prominent researcher in the field.
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