Wasn’t your PhD thesis on attack-resistant trust metrics? At least I remember reading it.
1,125 karma · joined August 9, 2008
Wasn’t your PhD thesis on attack-resistant trust metrics? At least I remember reading it.
While it's third-hand, word on the local parent chat is that the parent dropped their kid off on the opposite side of the street from Grant. Even though there was a crossing guard, the kid ran behind a car an ran right out in to the street.
If those rumors are correct, I'll say the kid's/family's fault. That said, I think autonomous vehicles should probably go extra-slowly near schools, especially during pickup and dropoff.
(Edit: per tssva—LTD & life are generally state laws, GINA is health ins and employment)
There’s a good history of the SAT and where it succeeded and failed in its goal of making college admissions more fair, The Big Test by Nicholas Lehmann.
In the United States, there are two bits of case law that are widely cited and relevant: In Kelly v. Arriba Soft Corp (9th), found that making thumbnails of images for use in a search engine was sufficiently "transformative" that it was ok. Another case, Perfect 10 (9th), found that thumbnails for image search and cached pages were also transformative.
OTOH, cases like Infinity Broad. Corp. v. Kirkwood found that that retransmission of radio broadcast over telephone lines is not transformative.
If I understand correctly, there are four parts to the US courts' test for transformativness within fair use (1) character of use (2) creative nature of the work (3) amount or substantiality of copying (4) market harm.
I'd think that training a neural network on artwork--including copyrighted stock photos--is almost certainly transformative. However, as you show, a neural network might be overtrained on a specific image and reproduce it too perfectly--that image probably wouldn't fall under fair use.
There are also questions of if they violated the CFAA or some agreement crawling the images (but Hiq v Linkedin makes it seem like it's very possible to do legally) and whether they reproduced Getty's logo in a way that violates trademarks (are they trying to use it in trade in a way there could be confusion though?)
[0] https://www.nytimes.com/2021/10/27/business/mckinsey-climate...
[1] https://www.nytimes.com/2018/06/26/world/africa/mckinsey-sou...
1) Parent expectations higher -> college becomes more expensive
2) People would love colleges to do everything but they'd always say "we're a nonprofit spending all our $ on teaching/research so can't" and parents accept that -> colleges can get much larger amounts of money -> colleges compete on these non-circular programs -> students/parents raise their expectations.
I'm sure both are true, but I think something had to change. I would have loved all those services in the 90s but it wasn't considered practical.
Ultimately a Rhode Island plumbing co, Gem Plumbing, bought it from Brown and used it in their ads.
See https://www.youtube.com/watch?v=TJJPbpHoPWo for a video of the pong demo in humans.
The motor cortex seems to have a clear, learnable signal though it is rather noisy sampling <1000 locations.
Mary Lou Jepsen at Open Water has ideas about how to do this non-invasively [3].
[1] https://www.braingate.org/publications/
[2] https://www.brown.edu/Administration/News_Bureau/2006-07/06-...
[3] https://www.ted.com/talks/mary_lou_jepsen_how_we_can_use_lig...
BiasSync is a mission-driven startup working to help companies and employees understand, manage, and mitigate unconscious bias’s impact in the workplace. We’ve started with a focus on race & gender bias but are building tools looking at other biases as well.
We get to work with academic researchers, top diversity & inclusion experts and others to create something that really changes workplaces and is unlike traditional boring D&I training.
Our backend is built with Python, Flask, PostgreSQL, Terraform, and a ton of AWS services—especially Lambda. But we're really looking for passionate folks who can learn, so if you use a different stack, still reach out. Our front-end is build in React/TS and our data science side is PANDAS-centric. We’re looking for a backend engineer to join and help build out
Being interested in diversity & inclusion, changing workplace cultures, psychology/psychometrics, and stats are all plusses.
https://biassync.applytojob.com/apply/99CEE53EeR/Back-End-En...
Or dan.hn at biassync.com
Eventful, founded by Brian Dear (a regular HN poster) had this as a feature before it was acquired if I recall correctly. I think the feature had a decent level of success, so it’d be worth talking to him/getting him to post about learnings here.
As I understand it, the cases established a multi-part test for whether a particular use of images is infringing. One of the key parts is whether the use is “transformational”—I would argue that most GAN output would fall under this fair use exception for transformational use and thus would be ok (at least here in Calif).
In the aforementioned cases, thumbnailing a la Google images was sufficiently transformational so synthesizing whole new images certainly should be. The tests do, however, depend on the use so I wouldn’t say that re-synthesizing similar-but-different images with a NN is always and automatically fair use.
(Full-disclosure: I'm an angel investor in them and not a dentist, so only reporting what I've heard from the dentists.)
Core to their argument is that most things we care about in society have increasing returns to scale so that under our current system we systematically under-allocate and mis-allocate to public goods.
While I disagree with a lot of it in practice, I highly recommend reading it if you're thinking the way the parent comment of this comment does.
[0] https://www.amazon.com/Radical-Markets-Uprooting-Capitalism-...
(Though, as-expected, he won't be prosecuted https://www.techdirt.com/articles/20180313/15105739419/clock...)
He didn't set out to build the empire that he did--he really wanted independence for one person (and it just turned out that what we built was so good that lots of people wanted it). He doesn't want to be in the limelight. So, as the article mentioned, he's chosen to focus on philanthropy and art and just watches our business from afar. He's a smart, great guy.