Readit NewsIs there any good summary of the history of AI/deep learning from, say, late 00s/2010 to the present? I think learning some of this history would really help be better understand how we ended up at the current state of the art.
https://www.kaggle.com/competitions/m5-forecasting-accuracy/...
Does anyone know similar challenges/competitions?
ACIC links to years I could find:
- 2016: https://arxiv.org/abs/1707.02641
- 2017: https://arxiv.org/abs/1905.09515
- 2019: https://sites.google.com/view/acic2019datachallenge/data-cha...
> [2] “I’m not very impressed with what you’ve been doing.” As recounted the famous physicist Freeman Dyson himself, this is how Nobel laureate Enrico Fermi started their 1953 meeting. “Well, what do you think of the numerical agreement?”, Dyson countered. To which, Fermi replied “You know, Johnny von Neumann always used to say: With four parameters I can fit an elephant, and with five I can make him wiggle his trunk. So I don’t find the numerical agreement impressive either.”
He basically chooses the most clickbaity headline possible and then posts it up to hacker news. The actual content itself is almost always totally banal and adds nothing new or insightful to the world.
No one was arguing that AI was going to build an engineering team, I haven’t read or heard or seen this take from anyone.
Taking up this controversial notion as the premise of an article (as though it’s actually a thing), when no one was positing it in the first place, is a classic way of driving traffic to your blog.