Hosting many web sites for years using basic tech. Early adopter. Thinker. Tinkerer. Looking for coding partners, mentors, business partners, and people I can help along the way as well.
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many of the gas stations, I think cracker barrel, and many other tourist knick knack stores around my (tourist heavy) city have them.. of course printing your own is not hard these days.
I do think many people with websites an visiting websites would enjoy using webrings again.
Interesting to see some misconceptions in this comments here, and the graphic at wikipedia showing it as an actual ring of links, but I don't believe that was ever a solid explanation.
Sure there was the option to add your website to most webrings, and some had checker settings to see if a recip link existed then plublish and share.. but that was short lived because spammers, and google's change of 'bad neighborhoods hurt you' - then corporate rollup / walls up..
However on many websites it was great to find similar sites and other sites the author had an interest in and wanted to share with friends / visitros.. recip link or not.
It was a useful tool for discovery and sharing. Google got so important so fast that people (and even at the software level (starting at you wordpress)) removed blogrolls entirely.
Now that it's understood that you can share with the nofollow attribute added to links, I think we will see more people adding blogrolls / webrings and that will naturally lead to more links back, and people appreciating sharing of other places of interest.
I started developing a new webrings plugin to make it easier for people to share and get submissions / suggestions, with options for checking for recip links, having a default nofollow link and such.
This led me to thinking about other uses for the same data / DB / fields.. and decidedly that the same backend parts can also create 'directory pages' - which are essentially what webrings were just as a footer scrolling widget verses full page per category.. so I added that.
Then I realized the same bits are basically waht is needed for creating a directory or associates.. could be other people who meet at a conference, could be people you work with, other companies you've done business with, or other professionals you've bumped into at other job sites / projects.. so I added that and it also is becoming a contact sharing / directory / roledex kind of system.
Right now I'm working through the backend being difficult to chose what shows up on the front end and under what conditions.. hope to have sorted by end of month - when will hope people will help with testing and suggestions.
Trying to make it as standalone react system that can work into any website and a wordpress plugin at the same time has led to so challenges.. but it's getting close.
I expected more information from the article and 'the paper' -
I see nothing that shows any system was making a decision on race. How is the race being presented to the AI?
All this is showing from what I can see, is that certain groups of people were more often denied a next step in the process - but why?
Was the AI going by spelling and grammar? Were there names that were different but the rest of the resume was exactly the same? Were there pictures?
There were mentions that the rate of each group may be more prominent in the data when you split apart different types of jobs instead of all jobs in aggregate..
One could read that like it's inferred; that more warehouse jobs are offered to a race and less admin jobs..
but that same would happen if AI was more focused on perfect grammar for one job and it was not as much of a factor for a warehouse job.
Also if the people applying for the various jobs were self selecting, acceptance percentages this would skew things based upon which ones were applied / not applied to right?
There are so many ways you could draw conclusions like this from data, however correlation is not causation, yet this seems to say it is.
I feel this is an important thing to watch, but Stanford may not be the place to trust with 'Policy Recommendations' as it's very unclear there is any proof that 'AI Hiring Tools Yield Racial Bias and Systemic Rejection' from this study and paper.
PS - now that I see the HN title did not have the word "can" in it, and the title of the article is actually "Tools Can Yield" - maybe that is less accusing and more noting.
I was thinking this months ago and asked AI what would be done.
IT quickly spit out a half dozen things it expected to be issues and the counter measures that would be deployed instantly and likely proactively.
It showed me videos of things like these 24/7 drones for people detected and less lethal things like soundwaves as deterrents.
It showed me videos of cables hardening and other systems being used to prevent cutting cables and stealing electricity.
Discussed the size of the jails that will be built, an expected number of people that move into a few groups of cybercrime (and which would continue to thrive with that) -
Had numbers of number of people that will be eating mealworms for lunch, the political and cult shifts that will occur, all sorts of interesting things.
I'll be putting out a movie about all this that AI already knows and expects to happen. And this is all with currently known and in use technologies.
Millions will be leaving many cities, and direct to needy from farms systems may keep people alive. Office buildings being converted to mealworm and similar farming may happen.
I do not see the millions of people who make a living via call centers to be able to find similar paying jobs. Most of them, and the people who currently make a living supporting them (sandwich shops, cleaning, etc) - will be competing for delivery jobs, which will depress wages, and they will be competing with robots and x-tunnels, etc.
I need to get a working title for all this info I gathered and come back and edit.
Really appreciate you taking the time and thinking of some alternative methods!
Not sure if there is a blocker from youtube in some way, but making backups of public playlists would certainly come in handy for a lot of people.
Seeing the articles and youtube videos and other articles about how to find your YT profile URL and searching the archive - obviously it's a thing bigger than I thought, and not something I ever considered.
The pivotal displacement I believe is going to come for all of the call centers, India has several major cities, and there are others in the US and elsewhere that could be seeing millions that no longer have a job in customer service and IT support - that had been keeping them working, and 1 or 2 other people in their local economy.
Many of the workers in call center IT, sales or customer support I do not think will find a lateral move in any workplace - which will put pressure on the no skill job market like uber and similar, which is already being displaced by waymo for rides and the 200 new delivery robots deployed in LA (and already taking jobs in Chicago)
Finance support jobs in NC, call people in Arizona and Vegas and others will be hit hard.
I have a bunch docs I may turn into a movie on this soon.
AI customer service is already better than many of the call center employees and depending on needs may replace a worker for under $100 / month, right now.
Only thing keeping these places afloat is contracts already in place, and that it may take a few months to ramp up the knowledge bases.
As far as fast food goes; Bojangles a block from me has AI voice bot that handles orders, questions, substitutions, different accents.. I tried to trip it up - and its better than most humans I have at the speaker box.
The inside kiosks at McDs started replacing humans long ago, if they took cash they would be better than humans today.
Replacing humans with cooking or cleaning? There are so many poor people in the US that it will likely just be cheaper to have humans doing that sort of thing.
Other commercial cleaning will likely replace 2 of 3 (or 1 of 3 if they are using child / other limited labor) workers with floor bots not too long from now.
When robots are skilled enough to clean chickens is when I worry about the impending desperation around my local in the US.
would be great if they could recover youtube playlists - I recently discovered that clicking to edit your playlist can turn into an oops deletion when you are off my a milliliter - and there is no 'are you sure delete' modal - it's just gone.
searching for 'recovery my deleted youtube music playlist' basically says find the url and go to internet archive and pray. Mine was shown in two IA pages, but clicking to view list was some 404 type error.
cloudlfare is not hosting - they are DNS against ddos.
Without internet or dns your hosting doesn't matter.
I know they have added additional services and you could say that they offer a type of hosting and domain names and other such stuff.. but generally when place get kicked from cloudflare, it is not their web host.
I would also say that they know pretty well when they kick someone from the dns protection that they are going to be bombarded with ddos and other issues that will take them offline more than likely.
1 - hold the parents accountable for putting a dangerous weapon in the hands of munchkins without supervision.
2 - phone manufactures and or internet providers that sell and connect them, must include a bouncer bot system like a locked phone. The parents get to choose and change which set of bouncers filter the phones.
These can be simple like 18 and over content according to your jurisdiction block.. but I would hope they would spend time to choose multiple bouncers that block different things for different values and offer ways to request access to blocked things.
DDG searches say this is something for linkedin. - I had two tabs for linkedin open but left behind as I opened other tabs to research.
So I had not reopened these tabs in over 9 hours and they are still just humming along sucking down almost 10% of cpu and a couple gigs of ram for what?
This is firefox with ublock origin - quick searches saw malwarebytes browser guard considered it (protechts.net) malware for a bit and then took it off the list of things it blocked / warned about.
Not sure this is related to the scan mentioned, but it may be related to the overall concerns about data and unknown usage of resources.
I'm considering blocking this at the dns hosts level at this point.
This does not surprise me as I have been pointing others to move ad dollars from google over the meta campaigns for most of the last year. In many markets there may still be people who can win with google ads, but it's not going to be most of the advertisers on the page, more like 1 or 2 will have success and all the others will just waste resources.
Anecdotal for sure, ymmv.
The problems with meta ads is that the rules are complex, opaque, and that's likely to just increase. I've seen businesses lose their ad account and have their fb page banned with no recovery options.
Meta is not handling the scale very well, and is likely to lose many advertising customers for life. Comparatively, google has recently announced a new system to help people understand and change ads that run into rules issues.
I myself spent hundreds of hours prepared campaigns and systems to deploy meta ads, had a set of ads run for 8 days and was perma banned from running ads.
"Our technology found your ad account doesn’t follow our Advertising Policies. As a result, our technology took action."
I must say the process was a terrible experience, no one wants to be treated like that. I still don't know why. I do know that 'support' for this is mind boggling.
They are doing outreach for small businesses? Many will try and give up with this kind of support.
Now I have a meta bulk ads generator system I created, and this is funny, an ad compliance checker system I built to help businesses create ads and run them through a checker to learn about things they may be outside the rules.
And now, I can't run ads offering to help people, and I can't run ads for other people / businesses.
Half the jobs that are sent my way have 'manage meta ads' in the requirements. Though I have been trained for it and done it, I can't ever again.
I see this turning into a situation where only agencies that have dozens of pre-created burner accounts are able to do ads for people who want to run ads but can't, which will be tons of small businesses. This will raise the cost, and for many small businesses it won't be worth it.
When an account is banned does support offer an export?
My experience with similar 'some things are okay, we know it when we see it' - is that support is extremely hostile if it responds (vimeo) .. non-existant if you are banned (google, meta / facebook)
and most often "sorry everything is deleted, your content, friends list, messages - all gone." (all of the above including tumblr)
So yeah, building content and friend's lists on other people's farmland is a thing of the past. with censorship that costs you friends and data people are better off self hosting and doing the fediverse thing, or going to places that explicitly allow almost all explicit things.
There was a time when flickr was very cool for sharing and making friends with people in niches that was to hard find in many places, same with tumblr and it was ruined in a similar way.
It's fine, and I completely understand, it's just not what it once was. Many things are not.
I think it matters what the project and tech stack is, and how much you try to get done before starting a fresh chat.
I've had interesting chats where it explained that it's choice of tailwind for example was because it had a ton of training knowledge on it.
I've also had it try to build more in one chat than it should many times.
For some reason openai codex handles building too much without failing better - but that is total anecdata from my particular projects and ymmv.
I've had these things try to build big when a little nudge gets them to change direction and not build so much. Explain which libraries and such and asking it to change the tech stack and the steps to build at once seem to make things much better for my use cases.
Also running extra checks and cleanup later is a thing, that sure a human might have seen an obvious thing at time of build, but we have bigger memory context comparatively imho.