Maskinlæring

Ten Myths About Machine Learning, Pedro Domingos - Medium, 2016-09-15

Approximately Correct - Technical and Social Perspectives on Machine Learning 

GPT-3, Wikipedia

Energy and Policy Considerations for Deep Learning in NLP, ArXiv, 2019-06-05

Training a single AI model can emit as much carbon as five cars in their lifetimes, MIT Technology Review,  2019-06-06

Lex Fridman: GPT-3 vs Human Brain, YouTube, 2020-08-01

OpenAI's GPT-3 Language Model: A Technical Overview, Lambda, 2020-06-03

A robot wrote this entire article. Are you scared yet, human? GPT-3, the Guardian, 2020-09-08

On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?, FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, ACM Library,

Machine Learning Gets a Quantum Speedup, Quanta Magazine, 2022-02-04

Quantum Complexity Tamed by Machine Learning, Quanta Magazine, 2022-02-07

Computers can write their own code. So are programmers now obsolete?, the Guardian, 2022-02-12

How many words does it take to make a mistake?, London Review of Books, 2022-02-24

Gary Marcus: Deep Learning Is Hitting a Wall, Nautilus, 2022-03-10

Deep Learning Poised to ‘Blow Up’ Famed Fluid Equations, Quanta Magazine, 2022-04-12

The Great AI Reckoning - Deep learning has built a brave new world—but now the cracks are showing, IEEE Spectrum Special Report, 2022-09

LaMDA Is Nothing Like a Person. This is Why, the Wire Science, 2022-06-26

Building explainability into the components of machine-learning models, MIT News, 2022-06-30

AI ‘Mischief Models’ Have the Potential To Make a Fresh Internet Hell, the Wire Science, 2022-08-06

Interview: Why Mastering Language Is So Difficult for AI, Undark, 2022-10-07

AI Language Models Are Struggling to “Get” Math, IEEE Spectrum,2022-10-12

John Naughton: Machine-learning systems are problematic. That’s why tech bosses call them ‘AI’, the Guardian, 2022-11-05

Chatbot løste eksamens­oppgave på få sekunder. Fikk karakter B, Khrono, 2022-12-08

Medie­professor: — Kunstig intelligens vil ta jobben frå mange forskarar, Khrono, 2022-12-09

Gary Marcus: AI's Jurassic Park moment, The Road to AI We Can Trust, 2022-12-10

John Naughton: I wrote this column myself, but how long before a chatbot could do it for me?, the Guardian, 2022-12-10

Gary Marcus: A Few Words About Bullshit, The Road to AI We Can Trust, 2022-11-16

Physical deep learning with biologically inspired training method: gradient-free approach for physical hardware, Nature Communications, 2022-12-26

Australian universities to return to ‘pen and paper’ exams after students caught using AI to write essays, the Guardian, 2023-01-10

Gary Marcus: Scientists, please don’t let your chatbots grow up to be co-authors, The Road to AI We Can Trust, 2023-01-14

OpenAI releases tool to detect machine-written text, Axios, 2023-01-31

Infographic: Generative AI Explained by AI, Visual Capitalist, 2023-02-01

Solving a machine-learning mystery, MIT News, 2023-02-07

Japan develops world's first optical computing AI algorithm inspired by human brain, HPCWire, 2023-02-08

Murray Shanahan: Talking About Large Language Models, ArXiv, 2023-02-16

The LLaMA is out of the bag. Should we expect a tidal wave of disinformation?, AI Snake Oil, 2023-03-06

The rise of machine learning in weather forecasting, ECMWF, 2023-06-20

Gary Marcus: Has Sam Altman gone full Gary Marcus?, Marcus on AI, 2023-11-17

The Ouroboros Of Machine Learning, indi.ca, 2024-02-28

A Sky Full of Data: Weather forecasting in the age of AI, Harvard SiTN, 2024-03-04

Gary Marcus: Two years later, deep learning is still faced with the same fundamental challenges, Marcus on AI, 2024-03-10





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When Particle Physics and Artificial Intelligence Collide, Weizmann Institute of Science, 2021-09-20

Machine learning predicts antibiotic resistance spread, Cornell Chronicle, 2021-10-22

The Human-Machine Game, the Shape of Reality, 2021-11-25

Deep Learning Alone Isn’t Getting Us To Human-Like AI, Noema Magazine, 2022-08-11


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