I also don't know if the crowdsourced skiplist works for podcasts as well as for youtube ads, since I think a larger proportion of podcasts use dynamic ad insertion - do they have consistent length? Might mess up ad tags/flags
I haven't tried, but youtube music podcasts can redirect to youtube interface, which I assume will work on 3rd party apps like newpipe with sponsorblock integration. Sponsorblock mostly helpful in skipping sponsor reads, 3rd party apps (or youtube premium) blocks injected ads.
Ultimately, IMO there's too many niche podcasts out there for sponsorblock route. Better to have AI solution to figure out and tag ads + sponsors + filler content to autoskip according to timestamp on downloaded audio file podcasts which could be variable length due to localized ads.
Agree that it could be seen as excessive, but this was not just in response to these commits, but also to the university's failure to act once they were informed of them.
They university, and indeed, the researchers, only acted once the ban was imposed - i.e. they were getting away with it without reputational damage, and only once it was stained did they actually do anything.
> We just want you to know that we would never intentionally hurt the Linux kernel community and never introduce security vulnerabilities. Our work was conducted with the best of intentions and is all about finding and fixing security vulnerabilities.
Either this is a bald-faced lie or they didn't think through the implications of their research, neither of which bode well for their trustworthiness in future. However, if it's the latter, then they possibly deserve additional leeway.
On the other hand, I wonder whether this letter would have eventuated without the ban - if not, then they've likely been forced to write it, in which case any remorse is either selfish (i.e. they've been professionally reprimanded and feel bad about getting caught, or making such an egregious error in judgement), or hollow.
> I agree, but let's give them a little extra benefit of the doubt. I thought as I was reading it that it seemed stilted and forced, then I wondered if the author(s) don't speak / write English as a primary language.
I think that it's straightforward enough in Australia, but that's partially because we file and pay only federal taxes, with states levying payroll tax, land tax (or stamp duty), etc, but those are less frequent transactions and generally accountants are involved.
For federal taxes, payroll systems typically transmit your data to our taxation office on each payrun, and then a few weeks (or sometimes, immediately) after the end of the financial year, your details are already in the system and you just need to hit the button to submit.
Our tax office has also tried to make it easier for individuals with simple requirements to keep records of work-related tax deductions, etc, such that you can use a mobile app to record them, and then it can also be imported into your return with a single click.
I think for many people - myself included - it's easy enough that you can (and I have) complete it on your phone on the way to work on July 1st (the first day of our income tax year, and the first day you can file for the prior year).
On android, Firefox beta (and maybe stable; haven't used stable in a while) allows you to have bookmarks as well as open all links in a private tab by default.
On desktop I use multi account containers and wipe history on exit, and have a handful of bookmarks for convenience.
For both, I use the bitwarden add-on/app to manage passwords.
I'm not sure that refusing a gay wedding cake to a straight person would avoid your action as being discriminatory toward a protected class, since that's the effect. Perhaps it would.
I also don't know that I would want Trump to be silenced, since he's often his own worst critic.
I don't think Twitter is stopping him from saying bad things, either; in fact, they're pretty explicitly letting him say things, and they just happen to have something to say about what he's said, too.
Not sure where 15,000 to 45,000 comes from, as the report itself concludes only c.8500 cases of duplicate voting.
I'm also not sure about the methodology there, so perhaps someone could explain it to me.
From what it looks like, GAI started with 60,000 matches from the state data. Then they... added additional identifiers and confirmed c.7000 of them? How do you get from uncertain data to more certain data in this way?
There seem to be c.15,000 instances of prohibited addresses being registered, which I don't believe alone indicates voter fraud.
"Extending GAI’s conservative matching method to include all 50 states would indicate an expected minimum of 45,000 high-confidence duplicate voting matches"
GAI was unable to conduct a comprehensive review since a complete data set of state voter rolls is currently unobtainable. (it was denied)
I don't quite understand why the expect that there would be ~6x the number detected, though, assuming that the ~8500 cases detected is accurate. It would be very (and probably statistically naive) if the minimum total cases was simply because they have only ~1/6 of the total number of state pairings.
I think the other major concern I have, other than the methodology, are the definitions - I still don't know whether 8500 represents 8500 people who voted twice (17000 total votes cast), or 4250 people who voted twice, or something in between, or some thing completely different. Perhaps I missed this.
I also don't know if the crowdsourced skiplist works for podcasts as well as for youtube ads, since I think a larger proportion of podcasts use dynamic ad insertion - do they have consistent length? Might mess up ad tags/flags