Lukáš Lánský @lukas@social.lansky.name

RT @citnaj@twitter.com

So yeah I'm really happy about this new DeOldify model actually......

🐦🔗: https://twitter.com/citnaj/status/1275688161369300993

RT @JanelleCShane@twitter.com

When an AI is trained on words, weird things can happen to the physical domain.

I asked the @OpenAI@twitter.com API about horses.
https://aiweirdness.com/post/621186154843324416/all-your-questions-answered

🐦🔗: https://twitter.com/JanelleCShane/status/1273296527662841856

RT @grhmc@twitter.com

C programmers are like

🐦🔗: https://twitter.com/grhmc/status/1273062119362252802

RT @taaiconaut@twitter.com

🐦🔗: https://twitter.com/taaiconaut/status/1271126894872637443

RT @ak92501@twitter.com

Language Models are Few-Shot Learners
pdf: https://arxiv.org/pdf/2005.14165.pdf
abs: https://arxiv.org/abs/2005.14165
github: https://github.com/openai/gpt-3

🐦🔗: https://twitter.com/ak92501/status/1266175845170843654

RT @richcampbell@twitter.com

🐦🔗: https://twitter.com/richcampbell/status/1258774093521879040

RT @OpenAI@twitter.com

Since 2012, the amount of compute for training to AlexNet-level performance on ImageNet has been decreasing exponentially — halving every 16 months, in total a 44x improvement.

By contrast, Moore's Law would only have yielded an 11x cost improvement: https://openai.com/blog/ai-and-efficiency/

🐦🔗: https://twitter.com/OpenAI/status/1257701921969901569

https://ourworldindata.org/happiness-and-life-satisfaction