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Failed to connect to MySQL: (1203) User howardkn already has more than 'max_user_connections' active connectionsPath: ...!fu-berlin.de!uni-berlin.de!individual.net!not-for-mail From: rbowman Newsgroups: comp.os.linux.advocacy Subject: Re: GNU/Linux is the Empowerment of the PC. So What Do You Do? Date: 10 Apr 2024 01:09:34 GMT Lines: 38 Message-ID: References: <17c37c35720e7ddc$20295$3326957$802601b3@news.usenetexpress.com> <17c40c6de0c879aa$405$1351842$802601b3@news.usenetexpress.com> <17c417d563439fed$44$3121036$802601b3@news.usenetexpress.com> <17c43fa6cd7d5d2d$59197$3716115$802601b3@news.usenetexpress.com> <17c46a7f9e9e2dcb$3880$111488$802601b3@news.usenetexpress.com> Mime-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit X-Trace: individual.net xZVGnzpDeMAYWtdbEVBj2QIGzwik7tZ4MBMXd17pDyjlk6m4hk Cancel-Lock: sha1:leU3JJb++eKwm4NxCHv30li1gzM= sha256:AIEFYBHleLZQTWrcmkZNLXYHUJerMaY6thBeVIUUyRs= User-Agent: Pan/0.149 (Bellevue; 4c157ba) Bytes: 3038 On Tue, 9 Apr 2024 17:26:12 -0400, Chris Ahlstrom wrote: > I've seen some interesting books about neural logic circuits, but circa > 1980. Rumelhart and McClelland's 'Parallel Distributed Processing' was the text used in a seminar I took that summed up the state of the art. The perceptron went back to McColloch and Pitts in 1944. It was a start but had problems some of which were pointed out by Minsky. Hopfield came up with the network named after him. Rumelhart and Hinton threw in back propagation based on gradient descent in an '86 paper. Anyway, read the current literature and you'll see a lot of what was discussed in the '80s. The problem was hardware. Nvidia is making big bucks producing $40,000+ GPUs that can handle all the matrix operations involved. That sort of power wasn't available in the '80s outside of a few supercomputers and even they might have been breathing heavy. The other problem was the inevitable hype that oversold NNs. https://www.skynettoday.com/overviews/neural-net-history It may be tl;dr but if you're interested that covers the history very well. It's telling that 'neural network' became a little toxic amid the stumbles over the years and became 'machine learning'. Having watched the technology waxing and waning for close to 40 years I don't know if the current boom will become a bust. https://mitsloan.mit.edu/ideas-made-to-matter/why-neural-net-pioneer- geoffrey-hinton-sounding-alarm-ai Hinton is entering "what have we wrought?" territory. McClelland seems to be optimistic still. https://deepai.org/profile/james-mcclelland Rumelhart died relatively young before AI became a headline item.