ambiguously forbidden

importance of studying howcollaborativedecision-making—particularly in real-world organizational settings,in the presence of existing interpersonal and power relations amongdecision-makers—impacts how people rely upon and make senseof AI models.

It is because all these inscriptions can be superimposed, reshuffled, recombined, and summarized, and that totally new phenomena emerge, hidden from the other people from whom all these inscriptions have been exacted.

to emergeas fullfledged sciences from their carefully kept files. The “panopticon” is another way of obtaining the “optical consistency” necessary for power on a large scale.

convolution (which is the underlying operation of a Gaussian blur) has to loop over each field of the Gaussian kernel for each pixel in the image. However, if you convert both the image as well as the Gaussian kernel to the frequency domain (using one of the many Fast Fourier Transform algorithms), convolution becomes an element-wise multiplication.

if traditional incentives ofmicro-tasking platforms (e.g., monetary reward) or onlinecommunities (e.g., social rewards) are sufficient

men will set the goals, formulate the hypotheses, determine the criteria, and perform the evaluations.

What if the dignity of being human is not to stand forever outside the machine, but to insist, even as the boundaries blur, on those things that remain untranslatable—mess, longing, grief, awe, strangeness?

the “Human Instrumentality Project” offers to dissolve all suffering through perfect togetherness.

It produces astonishing new worlds, but only by flattening the world into what can be stored, indexed, and summoned at will.

anyone below the LLM all at some point become “resources” in a perpetual state of readiness.

immediately invites solutionism

resists the categorization AI requires to produce an image. Noise floods the structure, overwhelming its logic with a contradictory logic. The result is a material,

categorical reduction

They invent a lie in the image of truth

All of that has a cost, one we’ve agreed to pay by the very act of using it.

Even clickwork that seems brainless and dull is still too advanced for “smart” machines.

distillation datasets effectively capture realistic conversational dynamics, replicating genuine user-assistant interactions.

extensively pretrained on specialized audio-centric datasets, which have been critical in optimizing model performance

Once multiple accurate students enter the same tag for a new image, the system wouldbe confident that the tag is correct. In this manner, image tagging and vocabulary learning can becombined into a single activity.

Data can be valuable. It can also be debris, abundant and unwelcome clutter generated by organic activity. Data is essential for operating a system, but it rarely needs to be the primary focus of the system.

object recognition

when a open AI developed a gp4 and they wanted to test what this new AI can do they gave it the task of solving capture puzzles it's these puzzles you encounter online when you try to access a website and the website needs to decide whether you're a human or a robot now uh gp4 could not solve the capture but it accessed a website task rabbit where you can hire people online to do things for you and it wanted to hire a human worker to solve the capture puzzle

/!\ If you see "Complete the captcha then press enter", switch to the Chromium window and do the captcha. ¨¨ Press Enter when you're done, the page will reload and you should see the source code of the URL you request

This code permit a manual bypass of the CloudFare captcha for FanFiction.net

Anti-automation on the form where a key can be requested is one thing, stopping someone from manually registering, say, 20 of them with different email addresses and massively amplifying their request rate is quite another.

It doesn’t.What it does do is teach AI to recognize various things and fool you into thinking you’re getting better security.When you get something for free, you are the product.

They are in place to prevent brute forcing a password. If you had to complete these every time you login, a person has to be there to answer it. This makes it so you can’t leave a guessing software to break your password. So, in short, it's for your account’s safety.

Robots are currently suffering extreme discrimination due to a few false assumptions, mainly that they’re distinctly separate actors from humans. My point of view is that robots and humans often need to behave in the same way, so it’s a fruitless and pointless endeavour to try distinguishing them.

In order to bypass these discriminatory CAPTCHA filters

This might not be the most user-friendly solution. But it’s certainly creative and something different from your typical captcha systems. Pennyauth aims to verify your users by asking them to pay $0.01 per login. Payments are processed using QUID — and users can submit payment in as little time as it takes for them to grab their credit card.

Show us your human side; slide the cursor to the end of the line to create your account:

Turns out that this new algorithm can also be used to read CAPTCHA puzzles—we found that it can decipher the hardest distorted text puzzles from reCAPTCHA with over 99% accuracy. This shows that the act of typing in the answer to a distorted image should not be the only factor when it comes to determining a human versus a machine.

CAPTCHAs will be dead in the next 10 years, because computers will be better at solving them than any human.

In order to combat these form spam BOTS, websites often employ a series of textual or picture quizzes to the user submitting the form such as CAPTCHA. These tests are somewhat effective for standard BOTS, but are annoying to website visitors and often lead to abandoned contacts or site sales. In addition, BOTS are evolving to the point where these measures are becoming obsolete and ineffective.

Google Recaptcha and personal dataBut we all know: there’s no such thing as a free lunch right? So what is the price we pay for this great feature? Right: it’s personal data.

For years, the most used solution was to add an ugly captcha to the form, with some hard to read letters, numbers etc on an image. The user had to type these in an input field. The spambots have a hard time reading these images: problem solved!But this solution is not very user-friendly: it’s ugly, and annoys users so much you might lose conversions.

ReCaptcha is just a cookie-based scheme to put Google Cookies

challenges/unpaid work assignments for Google

"You can try to make your own captcha. It is not so complicate." I hadn't read anything so wrong in a long time.

it might be due to the navigator.webdriver DOM property being true by default in Selenium-driven browsers. In Firefox, you can set the dom.webdriver.enabled config variable to false (go to about:config to change the variable), which disables this property. In my case this stopped reCAPTCHA triggering.

Post some highly desirable content on line, and protect it with a copy of the captcha you need solved ... and record and re-use the solution your visitors give you

I'd slightly challenge: "By definition, resolving a CAPTCHA cannot be automated". The design goals are that it cannot be automated; however, not being automatable(?) does not follow by definition.