Ok I wrote another one for the nerds. ? Incredible paper out of @Caltech from @AnimaAnandkumar, @kazizzad, Andrew Stuart & students in which they introduced a new deep-learning technique for finding solutions to differential equations at record speeds. https://t.co/FakQRAlZHW

— Karen Hao (@_KarenHao) October 30, 2020

In a healthcare test that went horribly wrong, GPT-3 told a mock patient to kill themself. https://t.co/FMaqadrOsZ

— Futurism (@futurism) October 27, 2020

GPT-3 isn't just lacking context, it's lacking *meaning* and *communicative intent* (not to mention accountability for what it says). #WeCNLP2020

— ?Emily M. Bender? (@emilymbender) October 31, 2020

Excited to announce new research aimed at learning what’s driving the problem of high attrition on #AI teams — and how to fix it.

Interested in sharing your thoughts? #diversityandinclusion ✍️ → https://t.co/uaJs3k6ARr

— Partnership on AI (@PartnershipAI) October 27, 2020

Next week, @deviparikh will start releasing episodes of her new podcast, Humans of AI: Stories, Not Stats.

In these episodes, Parikh chats w/ leaders in #AI about their hobbies, thoughts on life, struggles w/ time management, & more. We can't wait!

?️: https://t.co/5PueQ2fDQp pic.twitter.com/fxs0ymwzDx

— ML@GT (@mlatgt) October 13, 2020

1/3 #WiML is starting a new initiative to promote the achievements and research of women working in ML. We will use dedicated hashtags to promote the work of women from different diversity groups and women who are working on specific ML topics. #WomeninSTEM #WomenInTech #ML

— WiML (@WiMLworkshop) October 26, 2020

While you wait for course 3 of the GANs Specialization, check out this special issue of The Batch: https://t.co/05ICzWM1QS

Read an exclusive interview with Ian Goodfellow (the inventor of GANs), a summary of GANs for Good (our online panel discussion last month), and more.

— DeepLearning.AI (@DeepLearningAI_) October 20, 2020