This is the wrong way to look at it. Facebook employs people who consider themselves researchers but who are actually PR fronts. https://t.co/LGzNvz5dqj
— Cathy O'Neil (@mathbabedotorg) September 30, 2021
This is the wrong way to look at it. Facebook employs people who consider themselves researchers but who are actually PR fronts. https://t.co/LGzNvz5dqj
— Cathy O'Neil (@mathbabedotorg) September 30, 2021
Common error in both beginner machine learning and epidemiology:
— Jeremy Howard (@jeremyphoward) September 29, 2021
A 98% accurate model is not nearly as good as a 99% accurate one. The latter makes *half* the number of mistakes!
A 80% vaxxed population is not nearly as good as 90% vaxxed. The latter has *half* the # vulnerable
AI is a marketing term meant to intimidate and engender blind trust. https://t.co/EvSP02sy2I
— Cathy O'Neil (@mathbabedotorg) September 23, 2021
Deep Learning is a form of human-assisted but mostly constraint-driven software development. It works because a particular smooth relaxation of program space allows a surprisingly efficient and effective local search. Something like that, my favorite definition.
— Andrej Karpathy (@karpathy) September 19, 2021
"Getting angry at people for making mistakes doesn't teach them not to make mistakes.
— Bojan Tunguz (@tunguz) September 11, 2021
It teaches them to hide their mistakes."
Helping juniors the right amount can feel like tricky business. Let me throw out some ideas that I've found helpful. And if you have ideas, HMU. I think we all have lots to learn here. A 🧵(in no particular order of importance) ... https://t.co/w9Pt0wzt4o
— JD Long (@CMastication) August 30, 2021
This.
— (((ل()(ل() 'yoav))))👾 (@yoavgo) August 26, 2021
Not all uses of "NLP" in a socially sensitive area are automatically bad.
It really depends on the method you are using, how you are using it, and what you will do with the results. NLP is a *measurement tool* over text. What we measure, how we interpret: that's up to us. https://t.co/byiG2kb2YK
debiasing & similar approaches are about *mitigating* the impact of specific latent variables that are relevant to the current application and that's genuinely the best you can hope for
— Rachael Tatman (@rctatman) August 25, 2021
Science is all about getting good at "I don't know"—getting good at recognising "I don't know", getting good at saying "I don't know", getting good at knowing what to do next.
— Michael A Osborne (@maosbot) August 14, 2021
I’m growing tired of the “can ML help us crush the virus?” Headlines. Of course it can… but it won’t because mostly it will be deployed by social media apps in ways that subtly encourage the worst of society to divide and separate us into tribal groups. Because engagement…
— JD Long (@CMastication) August 11, 2021
How to make steady progress in my research?
— Jia-Bin Huang (@jbhuang0604) July 27, 2021
I worked so damn hard but "IT JUST DOESN'T WORK!"😤
How can I unblock myself quickly and make good progress toward the goals?
Below I compiled a list of tips that I found useful. 👇
Most time coding is not taken up in writing code, but with designing, debugging, and maintaining code. When code is automatically generated, it’s easy to end up with a lot more of it.
— Jeremy Howard (@jeremyphoward) July 20, 2021
Especially since Copilot code tends to be verbose.