I suspect that a lot of “brilliant insights” are natural next steps from someone who has deep intimacy with a research topic. And that actually seems more profound.
— Chris Olah (@ch402) August 16, 2020
I suspect that a lot of “brilliant insights” are natural next steps from someone who has deep intimacy with a research topic. And that actually seems more profound.
— Chris Olah (@ch402) August 16, 2020
Research intimacy is also different from research taste. But it does feed into it, and I suspect it’s one of the key ingredients in beating the “research taste market.”
— Chris Olah (@ch402) August 16, 2020
Research intimacy is different from theoretical knowledge. It involves internalizing information that hasn’t become part of the “scientific cannon” yet. Observations we don’t (yet) see as important, or haven’t (yet) digested. The ideas are raw.
— Chris Olah (@ch402) August 16, 2020
Dev 1: lol holy shit I screwed up so bad
— Chris Albon (@chrisalbon) August 16, 2020
Dev 2: Hahaha nothing close to me, I am basically a technical debt machine
Dev 3: I have literally given talks on mistakes I’ve made in our codebase
CEO: Uh... should we fire these people?
CTO: Dear god no, we are lucky to have them https://t.co/n1qilom2L3
Surprised to read that a green outfit might be better than a white or yellow outfit to improve your visibility in the dark. Source: https://t.co/5hrh9S3OAT pic.twitter.com/d5tp6MRsWt
— Simon Kuestenmacher (@simongerman600) August 14, 2020
Cheapest V100 GPUs I've seen - $0.45/hour for https://t.co/GEOZuodrZj community members. These are pretty much the fastest GPUs available anywhere.
— Jeremy Howard (@jeremyphoward) August 13, 2020
Let me know how you go, if you try them out.https://t.co/x4kChOhYmT pic.twitter.com/YiD0tVy1aH
"Data are not bricks to be stacked, oil to be drilled, gold to be mined, opportunities to be harvested. Data are humans to be seen, maybe loved, hopefully taken care of." @rajiinio 13/ pic.twitter.com/fEVIABnPJA
— Rachel Thomas (@math_rachel) August 12, 2020
Thanks to everyone that replied to my question on what the AI community should work on. I think if we come together as a community we can make better progress. I wrote about this in The Batch today (reposted here). Would love to hear your thoughts! pic.twitter.com/7wS6QQZscX
— Andrew Ng (@AndrewYNg) August 12, 2020
That “not a real doctor” thing . . . It’s kind of silly for people to think that going to medical school for a few years will give you the skills necessary to be able to evaluate research claims in medicine or anything else. https://t.co/cV5M2wMWK5
— Andrew Gelman (@StatModeling) August 11, 2020
“It was really better to get interviews and observations of people who were willing to trust you and would tell you the truth than it was to get interviews of people who were a random sample of the population who’d lie to you.” 3/4https://t.co/7IVGnKCR4M
— Rediet Abebe ረድኤት (@red_abebe) August 10, 2020
As a (mostly) quantitative researcher, I've been reflecting on the unstated hierarchies on different ways of knowing and whose perspectives these hierarchies prioritize. I've also been learning and including more qualitative methodologies in my work. 1/4
— Rediet Abebe ረድኤት (@red_abebe) August 10, 2020
Cool project looking at false positives for wakewords. I especially appreciate the direct links to edit privacy settings. https://t.co/aVnW3LzFms
— Rachael Tatman (@rctatman) August 10, 2020