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Search - "facial recognition"
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I somehow want to make an ai that analyses porn videos and learns to distinguish the parts when he cums on her face. I would call it facial recognition.
Sorry.19 -
Facebook: "Our facial recognition automatically tags people in pictures."
Tesla: "Our deep learning algorithm drives cars by itself."
Andrew Ng: "I predict patients' likelihood of dying with 99% accuracy."
Google: "You know one of our algorithms is going to pass the Turing test very soon."
Wall Street: "We use satellite images to predict stock prices based how filled car parks of specific stores are."
The remaining majority of data sciencists: "We overfit linear models."2 -
What if Snapchat's filters are all a part of the government's plot to develop a facial recognition database? 🤔6
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(Warning: kinda long && somewhat of a political rant)
Every time I tell someone I work with AI, the first thing to come out of their mouth is "oh but AI is going to take over the world!"
No.
It was only somewhat recently that it started being able to recognize what was in a picture from over 3 million images, and that too it's not that great at. Honestly people always say "AI is just if-else" ironically, but it isn't really that far from the truth, we just multiply an input by weights and check the output.
It isn't some magical sauce, it's not being born and then exploring a problem, it's just glorified-probability prediction. Even in "unsupervised" learning, the domain set is provided; in "reinforcement learning" which has gotten super popular lately we just have the computer decide which policy is optimal and apply that to an environment. It's a glorified decision tree (and technically tree models like XGBoost outperform neural networks and deep learning on a large number of problems) and it isn't going to "decide" to take over the planet.
Honestly all of this is just born out of Elon Musk fans who take his word as truth and have been led to believe that AI is going to take over the world. There are a billion reasons why it can't! And to top it off this takes away a lot of public attention from VERY concerning ethical issues with AI.
Am I the only one who saw Google Duplex being unveiled and immediately thought "fraud"? Forget phone scammers, if you trained duplex on the mannerisms of, for example, a famous politician's voice, you could impersonate them in an audio clip (or even video clip with deepfakes). Or for example the widespread use of object detection and facial recognition in surveillance systems deployed by DoD. Or the use of AI combined with location tracking and browsing analytics for targeted marketing.
The list of ethics breaches are endless, and I find it super suspicious that those profiting the most off of unethical AI are all too eager to shift public concern to some science fiction Terminator style takeover that, if ever possible, would be a long way out and is not any sort of a priority issue right now.11 -
Many people told me that all my face expressions look pretty the same. Whatever my mood (angry, happy, surprised) there is no much difference that appears in my face.
Well I didn't believe them until I tested a "Facial Emotion" program written on Python, and it gives me ~almost~ all the time that my facial expression is: Neutral.
Well, I think the algorithm is not well implemented 😐8 -
Apple really needs to add a "Deceased" tag to its facial recognition system, I just had a "memory" appear with a full 1:30 minute long video of my Grandmother who passed away earlier this year with "extreme" music in the background1
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»The European Commission has revealed it is considering a ban on the use of facial recognition in public areas for up to five years.
Regulators want time to work out how to prevent the technology being abused.«
https://bbc.com/news/...12 -
No one ever tells you that once you start doing facial recognition that your computer gets filled with tons images of your colleagues.
Looks a bit suspicious.3 -
Data Disinformation: the Next Big Problem
Automatic code generation LLMs like ChatGPT are capable of producing SQL snippets. Regardless of quality, those are capable of retrieving data (from prepared datasets) based on user prompts.
That data may, however, be garbage. This will lead to garbage decisions by lowly literate stakeholders.
Like with network neutrality and pii/psi ownership, we must act now to avoid yet another calamity.
Imagine a scenario where a middle-manager level illiterate barks some prompts to the corporate AI and it writes and runs an SQL query in company databases.
The AI outputs some interactive charts that show that the average worker spends 92.4 minutes on lunch daily.
The middle manager gets furious and enacts an Orwellian policy of facial recognition punch clock in the office.
Two months and millions of dollars in contractors later, and the middle manager checks the same prompt again... and the average lunch time is now 107.2 minutes!
Finally the middle manager gets a literate person to check the data... and the piece of shit SQL behind the number is sourcing from the "off-site scheduled meetings" database.
Why? because the dataset that does have the data for lunch breaks is labeled "labour board compliance 3", and the LLM thought that the metadata for the wrong dataset better matched the user's prompt.
This, given the very real world scenario of mislabeled data and LLMs' inability to understand what they are saying or accessing, and the average manager's complete data illiteracy, we might have to wrangle some actions to prepare for this type of tomfoolery.
I don't think that access restriction will save our souls here, decision-flumberers usually have the authority to overrule RACI/ACL restrictions anyway.
Making "data analysis" an AI-GMO-Free zone is laughable, that is simply not how the tech market works. Auto tools are coming to make our jobs harder and less productive, tech people!
I thought about detecting new automation-enhanced data access and visualization, and enacting awareness policies. But it would be of poor help, after a shithead middle manager gets hooked on a surreal indicator value it is nigh impossible to yank them out of it.
Gotta get this snowball rolling, we must have some idea of future AI housetraining best practices if we are to avoid a complete social-media style meltdown of data-driven processes.
Someone cares to pitch in?14 -
I take the train well out side of rush hour when the trains are about half empty (though most seats taken). I have to come in because it's not like I can afford to have a workspace comparable to the cockpit of the millennium falcon both at home and at work.
I don't believe going into a panic about coronavirus but take obvious basic precautions to at least reduce the chance and slow the spread and that should do a good amount to reduce overloading the system. I kid you not, at this point medical facilities are considering buying diving equipment for enriched O2 supplies to keep up.
Today, as usual, some fucking piece of shit cunt twat psycho beggar that literally needs to be in an asylum with a massive fucking great gob of snot dangling out his nose is going up the entire train, every carriage, begging groping every hand rail along the way and potentially exposing several hundred people every hour.
I told this sorry sack of shit, surprisingly politely, that he'll end up rapidly spreading coronavirus if he keeps going all the way up and down the carriage like that. After he's fucking muttering on trying to make people feel bad about fucking ignoring him not being all caring and shit and then doesn't give a shit about giving everyone coronavirus after fucking waltzing down the entire fucking length of the train his pockets stuffed with coin. Then he threatens to assault me. I was fucking this > < far away from unleashing a life changing beat down and kicking his ass off the train with no pain or injury spared.
At the same time, that piece of scum waste of skin the mayor has apparently informed the public that you can't get coronavirus on the train or buses. How the fuck did he come to that conclusion? Is this really happening? How can something that clinically fucking thick as shit be our lord and master?
I fucking thought the great toilet paper rush was brain dead. Jesus fucking Christ and people voted for this fucking championship moron. Why don't they just all save themselves the fucking hassle and all march themselves off a fucking cliff?
These dumb shits without two neurons to rub together only need to put a dozen or so plain clothed police offices on the trains to catch these fuckers.
Why am I even fucking paying taxes? Where's it all fucking going? Another fucking lets give a billion quid to Fujitsu fucking failed IT project again I bet. Can't people bloody do anything these days? Does there have to be an app for fucking everything?
Someone should make a fucking facial recognition app so I can snap a shot of these fuckers and then if one of these fucking passes the phone camera anyone else with the app it'll set of there's a fucking imbecile in the vicinity alert.
These people need to be dragged out into the street, lined up against the wall and shot. No remorse. Toss them in a pit, cover it with dirt and be done with it. Why even bother with the execution? Throw them down the hole and fill it with dirt.
You don't have to go mental like it's the plague but people could at least show some fucking common sense, common decency and basic decorum. Even minimal measures, is that much to ask? Absolute scum of the Earth. How we even allow them to walk to Earth I do not fucking know.1 -
Can AI recognize fake smiles?
Context:
So, my good-for-nothing brother-in-law comes with his toddler. I'm pissed at him for reasons, but gentlemen are always polite IRL and look at each other for greetings.
His toddler has always loved me and runs towards me. But see my fake-ass smile and suddenly she is shy and nervous.
She has noticed the stealth-fake smile that fooled her mother and grandmother.
Can AI do that? are there enough markers to differentiate a fake smile from a real one? Or is it waaay to personal?
If is it trivial, can someone please make a fake-smile coach app?10 -
our government's work documentation is digital now. 2 hours to convince a facial recognition app that i have a face just so i can start my job. fucking hell7
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Brave Browser.
There’s a reason why brave is generally advised against on privacy subreddits, and even brave wanted it to be removed from privacytools.io to hide negativity.
Brave rewards: There’s many reasons why this is terrible for privacy, a lot dont care since it can be “disabled“ but in reality it isn’t actually disabled:
Despite explicitly opting out of telemetry, every few secs a request to: “variations.brave.com”, “laptop-updates.brave.com” which despite its name isn’t just for updates and fetches affiliates for brave rewards, with pings such as grammarly, softonic, uphold e.g. Despite again explicitly opting out of brave rewards. There’s also “static1.brave.com”
If you’re on Linux curl the static1 link. curl --head
static1.brave.com,
if you want proof of even further telemetry: it lists cloudfare and google, two unnecessary domains, but most importantly telemetry domains.
But say you were to enable it, which most brave users do since it’s the marketing scheme of the browser, it uses uphold:
“To verify your identity, we collect your name, address, phone, email, and other similar information. We may also require you to provide additional Personal Data for verification purposes, including your date of birth, taxpayer or government identification number, or a copy of your government-issued identification
Uphold uses Veriff to verify your identity by determining whether a selfie you take matches the photo in your government-issued identification. Veriff’s facial recognition technology collects information from your photos that may include biometric data, and when you provide your selfie, you will be asked to agree that Veriff may process biometric data and other data (including special categories of data) from the photos you submit and share it with Uphold. Automated processes may be used to make a verification decision.”
Oh sweet telemetry, now I can get rich, by earning a single pound every 2 months, with brave taking a 30 percent cut of all profits, all whilst selling my own data, what a deal.
In addition this request: “brave-core-ext.s3.brave.com” seems to either be some sort of shilling or suspicious behaviour since it fetches 5 extensions and installs them. For all we know this could be a backdoor.
Previously in their privacy policy they shilled for Facebook, they shared data with Facebook, and afterwards they whitelisted Facebook, Twitter, and large company trackers for money in their adblock: Source. Which is quite ironic, since the whole purpose of its adblock is to block.. tracking.
I’d consider the final grain of salt to be its crappy tor implementation imo. Who makes tor but doesn’t change the dns? source It was literally snake oil, all traffic was leaked to your isp, but you were using “tor”. They only realised after backlash as well, which shows how inexperienced some staff were. If they don’t understand something, why implement it as a feature? It causes more harm than good. In fact they still haven’t fixed the extremely unique fingerprint.
There’s many other reasons why a lot of people dislike brave that arent strictly telemetry related. It injecting its own referral links when users purchased cryptocurrency source. Brave promoting what I’d consider a scam on its sponsored backgrounds: etoro where 62% of users lose all their crypto potentially leading to bankruptcy, hence why brave is paid 200 dollars per sign up, because sweet profit. Not only that but it was accused of theft on its bat platform source, but I can’t fully verify this.
In fact there was a fork of brave (without telemetry) a while back, called braver but it was given countless lawsuits by brave, forced to rename, and eventually they gave up out of plain fear. It’s a shame really since open source was designed to encourage the community to participate, not a marketing feature.
Tl;dr: Brave‘s taken the fake privacy approach similar to a lot of other companies (e.g edge), use “privacy“ for marketing but in reality providing a hypocritical service which “blocks tracking” but instead tracks you.15 -
I did it. I switched from Android to iPhone. Why? Because they came out with a new UI and features with the iPhone X and it’s been 3 years since I’ve owned an iPhone; I don’t like to be left out of new tech.
I already don’t care for it. Don’t get me wrong, it’s a beautifully designed phone. The clicks, haptic, and general feel of the phone is great and so is the X’s different UI. But the features? I feel like I’ve gone backwards a few years from where my Galaxy S8 got me. Facial recognition is actually great, but I could have had that with my GS8, but I preferred iris scan.
I forgot my wallet at home and wanted to buy a drink from the drug store by my work. I usually use Samsung pay which uses MFC & NFC so I can just use it with any magnetic reader; no says iPhone. I try to unlock my phone in the car, but there’s not trusted device option like in Android, so I unsafely struggle. I want to sign into my gyms WiFi, but no sign in option pops up like in Android; I’ve got to pull up safari.
I fucking love my Apple Watch though.
It’s definitely better than the Android watches that I’ve tried, and that might keep my with an iPhone much ch longer than I want until a better Android watch comes out.
I just think it’s good not to fanboy anything. Be open, find all the pros and cons.3 -
https://github.com/Hironsan/...
Found this on /r/ProgrammerHumor.
Uses facial recognition to detect your boss approaching. If only that S.H.I.E.L.D technician had this in Avengers, nobody would have known... -
Hey guys!!...how about the idea to know, what clothes should I wear today, depending upon my mood..using facial recognition3
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Over the last few weeks, I've containerised the last of our "legacy" stacks, put together a working proof of concept in a mixture of DynamoDB and K8s (i.e. no servers to maintain directly), passing all our integration tests for said stack, and performed a full cost analysis with current & predicted traffic to demonstrate long term server costs can be less than half of what they are now on standard pricing (even less with reserved pricing). Documented all the above, pulled in the relevant higher ups to discuss further resources moving forward, etc. That as well as dealing with the normal day to day crud of batting the support department out the way (no, the reason Bob's API call isn't working is because he's using his password as the API key, that's not a bug, etc. etc.) and telling the sales department that no, we can't bolt a feature on by tomorrow that lets users log in via facial recognition, and that'd be a stupid idea anyway. Oh, and tracking down / fixing a particularly nasty but weird occasional bug we were getting (race hazards, gotta love 'em.)
Pretty pleased with that work, but hey, that's just my normal job - I enjoy it, and I like to think I do good work.
In the same timeframe, the other senior dev & de-facto lead when I'm not around, has... "researched" a single other authentication API we were considering using, and come to the conclusion that he doesn't want to use it, as it's a bit tricky. Meanwhile passed all the support stuff and dev stuff onto others, as he's been very busy with the above.
His full research amounts to a paragraph which, in summary, says "I'm not sure about this OAuth thing they mention."
Ok, fine, he works slowly, but whatever, not my problem. Recently however, I learn that he's paid *more than I am*. I mean... I'm not paid poorly, if anything rather above market rate for the area, so it's not like I could easily find more money elsewhere - but damn, that's galling all the same.5 -
im living in a place where it's restricted to use fingerprint scanner, my semester project was to create an identification software using fingerprints... ahhhh what a disappointment we ended up using facial recognition and it was a hell of a semester2
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If any iOS developers are wanting a good repo to follow, I believe HeadGazeLib is about to take off.
There's been a few articles about how eBay is using head tracking to allow for hands free shopping (huge for accessibility!) If the rumors are true, then Apple should be announcing many more devices that support Facial Recognition (like the iPhone X). If they do, then there will a huge surge in games/apps that tap into that technology.
HeadGazeLib makes it super easy to incorporate Head Tracking in your apps, so I think with all the publicity, it will quickly rise to the #1 head tracking "add-on".
https://github.com/eBay/HeadGazeLib2 -
Alright so this is just me throwing my thoughts down from today cause I need some outlet.
Gonna start programming a lot more than I do now cause I want to improve and I enjoy it.
I started my JavaScript course and that's going well so far. I need to figure out a way to make the info stick. I'm gonna def use the projects from each day as resources though.
I need to practice python (which I'm good with) occasionally so I dont lose my magic touch. I was thinking of doing a project on a raspberry pi that uses a camera for object/facial recognition and picking projects like that and occasional small ones I do in js.
Although theres still a lot I have to learn on the DOM side of js. I dont want to be a front end dev cause I dont have that artistic eye so I'm mostly gonna use it for node and small front end stuff
But mostly I need to be able to grasp more from tutorials, examples, courses, etc. And understand how and when and why I should use whatever it is.
Also I wanna use someones code to learn but it's never documented well enough for me to know what's happening I'm mostly referring to when theres a library or api I'm unfamiliar with.
Also JS is getting a little boring so hopefully python will help dull that feel6 -
hey guys
i've a project where i need to compare a picture of someone's face to a database of people's faces to determine who's face it is.
what library would be good for this?3 -
!rant
Need a programmer who has previously worked on nodejs/ opencv for facial recognition. Got an interesting idea.3 -
Does anyone know of a simple facial recognition program that I could train locally on a set of people’s faces?
I’m tasked with culling through a few hundred photos to find ones of certain people. I need the originals taken off the network drive and copied to a hard-disk.1