/AI News/Issue 68

Issue #68 15 stories

Global AI Weekly

Crazy New AI Learned To Rewrite Doom and Apple and Nvidia could be OpenAI’s next big investors

Published Tuesday, September 3, 2024

In this issue

Highlights

2 stories
‘He was in mystic delirium’: was this hermit mathematician a forgotten genius whose ideas could transform AI – or a lonely madman?
theguardian.com

‘He was in mystic delirium’: was this hermit mathematician a forgotten genius whose ideas could transform AI – or a lonely madman?

In isolation, Alexander Grothendieck seemed to have lost touch with reality, but some say his metaphysical theories could contain wonders One day in September 2014, in a hamlet in the French Pyrenean foothills, Jean-Claude, a landscape gardener in his late 50s, was surprised to see his neighbour at the gate. He hadn’t spoken to the 86-year-old in nearly 15 years after a dispute over a climbing rose that Jean-Claude had wanted to prune. The old man lived in total seclusion, tending to his garden in the djellaba he always wore, writing by night, heeding no one. Now, the long-bearded seeker looked troubled.

Apple and Nvidia could be OpenAI’s next big investors
techcrunch.com

Apple and Nvidia could be OpenAI’s next big investors

Nvidia and Apple are reportedly in talks to contribute to OpenAI’s next fundraising round — a round that could value the ChatGPT maker at $100 billion. Per its sources, the New York Times says earlier OpenAI investor Thrive Capital would lead the deal should it happen. (Bloomberg was the first to report Nvidia’s involvement.

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Research

1 story
arxiv.org

Estimating demand for deliveries in a city

How do you plan drivers, cars, and package deliveries in a busy city? It's a hard problem to solve. Efforts are being made to try and solve part of the equation with AI. Estimating demand across a city with a graph-based approach. A fun to read paper with some pretty cool ideas.

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Video

3 stories
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Articles

7 stories
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Code

2 stories
Training AI Models on CPU
towardsdatascience.com

Training AI Models on CPU

To simplify matters, PyTorch offers the torch.backends.xeon.run_cpu script for automatically configuring the memory and threading libraries so as to optimize runtime performance. Importantly, the impact of the optimizations that we discuss on runtime performance is likely to vary greatly based on the model and the details of the environment (e.g., see the high degree of variance between models on the official PyTorch TouchInductor CPU Inference Performance Dashboard ).

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