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Groups > comp.lang.prolog > #14870
| From | Mild Shock <janburse@fastmail.fm> |
|---|---|
| Newsgroups | comp.lang.prolog |
| Subject | Linus Torvalds has it possibly all wrong [Artificial Intelligence] (Was: Hades: fast hardware synthesis tools and a reconfigurable coprocessor) |
| Date | 2025-09-30 08:40 +0200 |
| Message-ID | <10bfu15$9sp2$1@solani.org> (permalink) |
| References | <vmrajs$apg0$1@solani.org> <10beqcj$980p$1@solani.org> <10bersh$98qq$2@solani.org> |
Hi, Was Linus Torvalds cautious or clueless? "I think AI is really interesting and I think it is going to change the world. At the same time, I hate the hype cycle so much that I really don't want to go there. So, my approach to AI right now is I will basically ignore it because I think the whole tech industry around AI is in a very bad position, and its 90% marketing and 10% reality. And, in 5 years, things will change and at that point, we will see what of the AI is getting used for real workloads". https://www.tweaktown.com/news/101381/linux-creator-linus-torvalds-ai-is-useless-its-90-marketing-while-he-ignores-for-now/index.html I think his fallacy is to judge AI as hype. So his timeline 2030 might have received a suckerpunch by Copilot+ already now in late 2025. Before in 2024, when he made his statement, AI was already not hype at all: 2009–2012 (Deep Learning Wave): GPUs began being used for deep learning research, thanks to frameworks like Caffe and Theano. This was when convolutional networks for vision really took off. 2012–2015 (Big Data + Deep Learning): Data centers started leveraging clusters of GPUs for large-scale training, using distributed frameworks like TensorFlow and PyTorch (from 2016). Text analysis and recommendation systems were already benefiting from this. 2015–2020 (Specialized Accelerators): Companies like Google (TPU), Nvidia (A100), and Qualcomm (Hexagon DSP) developed purpose-built hardware for AI inference and training. Large-scale NLP models like BERT were trained in these environments. 2020–2024 (Commercial AI Explosion): On-device AI, cloud AI services, Copilot+, Claude integrations — all of these are the practical realization of what had been quietly powering research and enterprise workloads for over a decade. Bye
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USA is still Shitting its Pants [Artificial Intelligence] Mild Shock <janburse@fastmail.fm> - 2025-01-22 18:41 +0100
With MedGamma I can analyse my own broken ribs (Was: USA is still Shitting its Pants [Artificial Intelligence]) Mild Shock <janburse@fastmail.fm> - 2025-09-29 22:32 +0200
Hades: fast hardware synthesis tools and a reconfigurable coprocessor (Re: With MedGamma I can analyse my own broken ribs) Mild Shock <janburse@fastmail.fm> - 2025-09-29 22:57 +0200
Linus Torvalds has it possibly all wrong [Artificial Intelligence] (Was: Hades: fast hardware synthesis tools and a reconfigurable coprocessor) Mild Shock <janburse@fastmail.fm> - 2025-09-30 08:40 +0200
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