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   Tane Piper ⁂ (tanepiper@tane.codes)'s status on Wednesday, 18-Dec-2024 20:05:42 JST Tane Piper ⁂

   • Kevin Beaumont

   @GossiTheDog absolutely no conflict of interest at all 🤔

   • Embed this notice
     Rich Felker (dalias@hachyderm.io)'s status on Wednesday, 18-Dec-2024 20:07:11 JST Rich Felker

     in reply to

     • Kevin Beaumont

     @tanepiper @GossiTheDog Should be criminal charges for this plus fiduciary duty lawsuits by stockholders. Conflict of interest shit like this, not upholding professional ethics, is the real way CEOs violate that obligation.

   • Embed this notice
     AnimalSpirits (animalspirits@infosec.exchange)'s status on Wednesday, 18-Dec-2024 20:07:57 JST AnimalSpirits

     • Kevin Beaumont

     @GossiTheDog

     Managers braying about how they are gonna make so much money replacing their workforce is such a huge L.

     Not only will your regurgitated AI output be substandard, but future employees will not want to join I Will Replace You Inc.

     Literally shooting your business in both feet.

   • Embed this notice
     SearingTruth (searingtruth@infosec.exchange)'s status on Thursday, 19-Dec-2024 03:21:37 JST SearingTruth

     • Kevin Beaumont

     @GossiTheDog

     "There is zero artificial intelligence today. There could have been, but 50 years ago the decision was made by most scientists and companies to go with machine learning, which was quick and easy, instead of the difficult task of actually reverse engineering and then replicating the human brain.

     So instead what we have today is machine learning combined with mass plagiarism which we call ‘generative AI’, essentially performing what is akin to a magic trick so that it appears, at times, to be intelligent.

     While the topic of machine learning is complex in detail, it is simple in concept, which is all we have room for here. Essentially machine learning is simply presenting many thousands or millions of samples to a computer until the associative components ‘learn’ what it is, for example pictures of a daisy from all angles and incarnations.

     Then companies scoured the internet in the greatest crime of mass plagiarism in history, and used the basic ability of machine learning to recognize nouns, verbs, etc. to chop up and recombine actual human writings and thoughts into ‘generative AI’.

     So by recognizing basic grammar and hopefully deducing the basic ideas of a query, and then recombining human writings which appear to match that query, we get a very faulty appearance of intelligence - generative AI.

     But the problem is, as I said in the beginning, there is no actual intelligence involved at all. These programs have no idea what a daisy, or love, or hate, or compassion, or a truck, or horse, or wagon, or anything else, actually is. They just have the ability to do a very faulty combinatorial trick to appear as if they do.

     And while the human brain consumes around 20 watts, these massive pattern matching computers consume uncounted millions, and counting.

     However there is hope that actual general intelligence can be created because, thankfully, a handful of scientists rejected machine learning and instead have been working on recreating the connectome of the human brain for 50 years, and they are within a few decades of achieving that goal and truly replicating the human brain, creating true general intelligence.

     In the meantime it's important for our species to recognize the danger of relying on generative AI for anything, as it's akin to relying on a magician to conjure up a real, physical, living, bunny rabbit.

     So relying on it to drive cars, or control any critical systems, will always result in massive errors, often leading to real destruction and death."
     SearingTruth