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Certain companies train their AIs to plagiarise work by unnamed scholars, extending an AI history permeated by plagiarism and misattributions. It started a long time ago. In the 1900s, the old method of least squares (Gauss & Legendre, 1795-1805) was renamed "neural network," #AIethics #Plagiarism #NeuralNetworks #Therearenospecificcountrymentionsinthetweetprovided.Therefore #nocountrycodescanbereturned.

Yann LeCun claimed on social media [7] that my foundational 1990 paper on Neural World Models [1] "was never accepted through peer review." This is simply false. The core concepts from the tech report [1] were peer-reviewed and published at international conferences right away: https://t.co/vVg15Qh05U #NeuralNetworks #PeerReview #AIResearch #Nospecificcountriesarementionedinthetweet.

A recent NYT article by @CadeMetz [1] claims that neural network distillation was first developed in 2015 by a team of Google researchers including G. Hinton [2]. Not true! I published the technique in 1991 [3]. [2] failed to cite [3]. See the overviews [4][6]. The NYT article #NeuralNetworks #AI #ResearchHistory #Thetweetdoesnotmentionanyspecificcountries #sotherearenocountrycodestoreturn.

antirez May 29

It's blind thinking that the wonderful and terrifying things AI may bring us, from medicine, to universe understanding, to terrible social issues and potentially extinction, are up to a few CEOs. It's a path that was unavoidable since initial discovery of neural network. #ArtificialIntelligence #NeuralNetworks #FutureOfTech #Nospecificcountrycodesarementionedinthetweet.

Linda Liukas May 19

RT @GoodfireAI: Neural networks might speak English, but they think in shapes. Understanding their rich *neural geometry* is key to unders… #NeuralNetworks #AI #MachineLearning #Thetweetdoesnotmentionanyspecificcountries.

Yann LeCun May 3

RT @CaptainInsightX: Neural networks were declared scientifically dead in 1987. A French PhD student bet his entire career on them anyway ~… #NeuralNetworks #AI #MachineLearning

VTM.cz Apr 9

České podnebí se zásadně mění, s nárůstem průměrné teploty o 1,1 °C a úbytkem sněhu o 15 dnů ročně, což vedlo k nutnosti revize klimatických oblastí, přičemž nová klasifikace identifikovala čtrnáct nových oblastí, včetně teplejších agroklimatických zón, které ovlivňují zemědělce. #klimatickázměna #neuralnetwork #zemědělství

České podnebí se zásadně proměňuje. Průměrná teplota roste, sníh rychle mizí a zemědělci musí reagovat