keithyjohnson
Re:Ask HN: What's the best paper you've read in 2020?
on Tuesday December 08, 2020 @08:03PM (#25353973)
Which inductive bias?
Re:Moldova Shuts Down Bootleg Helicopter Factory
on Wednesday July 01, 2020 @07:23PM (#23708028)
Hai davai!
Re:A one-year moratorium on police use of Rekognition
on Wednesday June 10, 2020 @08:43PM (#23483966)
Keep it up
Re:Ask HN: What scientific phenomenon do you wish someone would explai...
on Monday April 27, 2020 @09:01AM (#22995394)
Agile, an empirical survey of whatever the hell it actually is.
Re:Causal Inference and Data-Fusion in Econometrics (2019)
on Monday April 20, 2020 @11:15AM (#22924555)
The Book of Why by Judea Pearl may be a good starting point for anyone interested in this.
Re:Causal Inference and Data-Fusion in Econometrics (2019)
on Monday April 20, 2020 @11:14AM (#22924532)
Looks like you can request to beta test it here - https://docs.google.com/forms/d/1wOal6PSRxXcMmmzXXHygDC5_rGR...
Re:Crystal 0.34
on Tuesday April 07, 2020 @12:08AM (#22800277)
I hope someday Crystal will supplant Java.
Re:AWS Ground Station
on Sunday March 29, 2020 @06:10PM (#22723236)
Thank god I now have an easy way to communicate with all my satellites.
Re:The AI Index 2019 Report
on Monday December 16, 2019 @10:17AM (#21803583)
I get that these bullets points are answering What instead of Why but for those that are more readily discernible, like "In a year-and-a-half, the time required to train a large image classification system on cloud infrastructure has fallen from about three hours in October 2017 to about 88 seconds", what's causing this? Are models getting smaller without a loss in accuracy? Is training distributed over a greater amount of cheaper machines? Personally, I'd be more excited about the former rather than the latter. We can't all afford MegatronLM-type experiments - https://nv-adlr.github.io/MegatronLM.
Re:The Lesson to Unlearn
on Saturday December 07, 2019 @09:00AM (#21730288)
Is it ironic that I'm going to quote this passage in my grad school admissions essay?
Re:The Lesson to Unlearn
on Saturday December 07, 2019 @08:54AM (#21730266)
As an engineer, this makes me wish there were a better path to FANG employment than hacking their whiteboarding interviews by leetcoding for weeks. They probably do this because it's more objective and simpler than something like the "long conversation with a professor" test that pg suggests.
Re:AWS Is Now Available from a Local Zone in Los Angeles
on Tuesday December 03, 2019 @03:48PM (#21696541)
Who's excited about this? What's your use case that just became viable because of it? Definitely don't mean these questions in a condescending way, just want to get a read on the pulse from the folks here that will use it :)
Re:Ask HN: How do you roll back production?
on Sunday November 03, 2019 @12:15PM (#21435129)
Cost can be a killer here though. If you're flipping from blue to green and vice versa you either have to have capacity in stand-by(expensive) or spin up new capacity before flipping(time-consuming).
Efficiency metrics would be really useful is evaluating DNNs for embedded solutions as well.
Re:We can’t trust AI systems built on deep learning alone
on Sunday September 29, 2019 @10:07AM (#21107102)
Understanding a sentence is fundamentally different from recognizing an object. But people are trying to use deep learning to do both.
I agree with most of the article but I think this^^ skips over the different types of networks used to solve perception and language problems. A CNN is very different from say, word2vec, which isn't a very deep network at all.
Re:At Tech’s Leading Edge, Worry About a Concentration of Power
on Thursday September 26, 2019 @09:30AM (#21080717)
Maybe this is a good time for university researchers to develop AI algorithms that are not so data and compute hungry. Here's a promising bit of that--https://www.csail.mit.edu/news/smarter-training-neural-netwo.... This is easier said than done but necessity is the mother of all invention they say.
Re:Anthony Levandowski Charged with Theft of Trade Secrets
on Tuesday August 27, 2019 @02:19PM (#20812826)
Great article, I liked that it illuminates the question--whats a trade secret vs knowledge from on-the-job-experience? And where's the line across which a company can say you've used a trade secret? It's scary to think that one of the outcomes of this case could be a precedent that allows companies to go after what's in your head.
Re:Monads as a Programming Pattern
on Monday August 12, 2019 @10:09AM (#20675540)
I watched that talk a while ago and it was great, thank you.
Re:Ask HN: How has volunteering helped you grow?
on Monday April 24, 2017 @09:32AM (#14184138)
I did Peace Corps and it was the most valuable experience I've ever had from a personal growth perspective, and others too.
Re:Modern JavaScript for Ancient Web Developers
on Thursday March 23, 2017 @03:27PM (#13943287)
Oh god here comes yet another JS framework - http://vanilla-js.com/
Re:Lyme Is 'All in Your Head' – A Wake-Up Call to Mental Health Profes...
on Tuesday March 07, 2017 @10:17AM (#13810916)
These kinds of articles are dangerous. It doesn't help that the author's livelihood comes from treating people who believe they have this illness.
Good link: "... which noted the diagnosis of chronic Lyme disease is used by a few physicians despite a lack of "reproducible or convincing scientific evidence", leading the authors to describe this diagnosis as "the latest in a series of syndromes that have been postulated in an attempt to attribute medically unexplained symptoms to particular infections."
Re:I am an Uber survivor
on Monday February 27, 2017 @04:24PM (#13748274)
Great list, great comment, well done.