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#AiResearch

17 posts15 participants0 posts today
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djsolar913

Am I the only one that thinks that AI is really unnecessary? And then of course, like usual, the impact on the planet was the last thing we thought about and now we have to deal with the huge costs. #AiResearch

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Hacker News

UCSD: Large Language Models Pass the Turing Test

arxiv.org/abs/2503.23674

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arXiv.orgLarge Language Models Pass the Turing TestWe evaluated 4 systems (ELIZA, GPT-4o, LLaMa-3.1-405B, and GPT-4.5) in two randomised, controlled, and pre-registered Turing tests on independent populations. Participants had 5 minute conversations simultaneously with another human participant and one of these systems before judging which conversational partner they thought was human. When prompted to adopt a humanlike persona, GPT-4.5 was judged to be the human 73% of the time: significantly more often than interrogators selected the real human participant. LLaMa-3.1, with the same prompt, was judged to be the human 56% of the time -- not significantly more or less often than the humans they were being compared to -- while baseline models (ELIZA and GPT-4o) achieved win rates significantly below chance (23% and 21% respectively). The results constitute the first empirical evidence that any artificial system passes a standard three-party Turing test. The results have implications for debates about what kind of intelligence is exhibited by Large Language Models (LLMs), and the social and economic impacts these systems are likely to have.
#HackerNews#UCSD#LLM
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Hacker News

Matrix Calculus (For Machine Learning and Beyond)

arxiv.org/abs/2501.14787

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arXiv.orgMatrix Calculus (for Machine Learning and Beyond)This course, intended for undergraduates familiar with elementary calculus and linear algebra, introduces the extension of differential calculus to functions on more general vector spaces, such as functions that take as input a matrix and return a matrix inverse or factorization, derivatives of ODE solutions, and even stochastic derivatives of random functions. It emphasizes practical computational applications, such as large-scale optimization and machine learning, where derivatives must be re-imagined in order to be propagated through complicated calculations. The class also discusses efficiency concerns leading to "adjoint" or "reverse-mode" differentiation (a.k.a. "backpropagation"), and gives a gentle introduction to modern automatic differentiation (AD) techniques.
#HackerNews#MatrixCalculus#MachineLearning
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Hacker News

Self-Supervised Learning from Images with JEPA

arxiv.org/abs/2301.08243

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arXiv.orgSelf-Supervised Learning from Images with a Joint-Embedding Predictive ArchitectureThis paper demonstrates an approach for learning highly semantic image representations without relying on hand-crafted data-augmentations. We introduce the Image-based Joint-Embedding Predictive Architecture (I-JEPA), a non-generative approach for self-supervised learning from images. The idea behind I-JEPA is simple: from a single context block, predict the representations of various target blocks in the same image. A core design choice to guide I-JEPA towards producing semantic representations is the masking strategy; specifically, it is crucial to (a) sample target blocks with sufficiently large scale (semantic), and to (b) use a sufficiently informative (spatially distributed) context block. Empirically, when combined with Vision Transformers, we find I-JEPA to be highly scalable. For instance, we train a ViT-Huge/14 on ImageNet using 16 A100 GPUs in under 72 hours to achieve strong downstream performance across a wide range of tasks, from linear classification to object counting and depth prediction.
#HackerNews#SelfSupervisedLearning#JEPA
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EPFL

🤖⚡ Daniel Gatica-Perez, named the best teacher in the digital humanities section for 2024, believes it’s important to stress the human factor in how technology is adopted and used. His research looks at social computing and human-centered artificial intelligence (AI) – both of which are fast-moving fields.

#DigitalHumanities #InnovationInEducation #AIResearch

Read more 👉 : go.epfl.ch/uDV-en

go.epfl.ch · “Technology alone won't be able to solve major societal challenges”Daniel Gatica-Perez, named the best teacher in the digital humanities section for 2024, believes it’s important to stress the human factor in how technology is adopted and used. His research looks at social computing and human-centered artificial intelligence (AI) – both of which are fast-moving fields.
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