bots

What it is, what you can do with it and how it works to create your bots within Telegram

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Let’s explain to you What is BotFather and how does it work? This father of bots, a bot created by Telegram to be able to create other bots within the messaging app. When you want to proceed to carry out projects such as controlling an AI agent from Telegram, or you simply want to have your information and news bot, this will always be the first step to take. Let’s start by explaining what exactly this bot is. Then, we’ll go on to summarize the things you can do with it, and we’ll finish by telling you how you can use it to create your own bot. What is BotFather BotFather is the official Telegram bot to create and manage bots created by you. Its idea is to be a bot that literally acts as the father of all the bots within the platform. Being official, this bot has been created and is maintained by the official Telegram team, not by third parties. With this Telegram bot you will be able to create a bot, give it a name, add a description and avatar, and manage it as you wish. It will also give you a bot token to connect to it. to an external program with which to control it and make it work. Therefore, what BotFather allows you to do is create the bot shellbut then you will need to connect it to some program to give it functionality. Of course, it will also allow you to edit the welcome message, configure visible commandsactivate or deactivate privacy mode or manage your permissions. But then, the actual programming of the bot will have to be done outside. In summary, we can say that this is a bot for creating bots, and that it works in such an extremely simple way that democratizes creating them so that anyone can do it. Of course, without forgetting that you only create the framework, then making it work depends on your skills connecting it with the tools where you program it. What you can do with BotFather The main function of BotFather is to create new bots which will remain in your name so that you can use them as you wish. You will be able to create a name and you will have to give them a username to be located. When you create a bot, you will receive the access token to connect it to external tools. You can also customize the bot you created to adapt it to your needs. You can change their description, their “about” presentation, and their profile photo. You can also choose the list of commands it accepts, and activate or deactivate advanced functions such as inline mode to use it from the text bar of any chat, its payment system, or its privacy in groups. In addition to this, you will also be able to edit the bot to change these aspects as you want, as well as regenerate access tokens in case you need a new one. How to use BotFather. Creating bots is as easy as open a chat in BotFather and write /newbot. This will open a process where you will first have to type the bot name and then the username. The bot’s username, the @bot to find and write to, must be empty and end in “bot.” Once you have it, you will be given the API token and the address to access it. Then, in the bot you will always have a button open that opens a window with your bots. By pressing one of them you can enter its settings and change all the aspects you want about it, from the commands to the information or the internal games and all its settings. In these options you will also be able to configure your payment system, and transfer or delete it. If you delete it, the bot will disappear forever and its username will be free. And if you transfer it, you will make a different user own it and be able to control and configure it. You will no longer be able to do it. In Xataka Basics | How to create a Telegram bot that sends you a summary made by Gemini of each email you receive in Gmail and other emails

Tinder has a serious problem with bots posing as humans. So it’s going to ask you for facial recognition.

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Creating a fake profile on Tinder can take just a few minutes. Soon it won’t be so simple. The app is implementing a security measure to combat the problem of fake accounts which will force all users to undergo facial verification. Show me your face. Face verification was optional, but with Face Check it is made mandatory for all new users. During the account creation process, a selfie video will have to be taken as “proof of life”. The measure is already underway in some countries such as the United States, Australia, Canada, Colombia and India, among others. There is no date, but it is expected that it will soon be deployed in the rest of the world. Does not save the photo. Tinder’s security manager tells it in Wired. During verification, the app does not save a photo of our face, but instead saves reference points on the shape of the face and converts them into a mathematical hash. The app compares that file with its database to check if it matches another account. With this measure, Tinder will prevent the creation of bot accounts, but it will also prevent the same person from having multiple accounts. a serious problem. We don’t have updated data on the volume of fake accounts, but in 2021 it was at least 23%. Tinder admits that almost all (98%) of the moderation actions they carry out are motivated by fake accounts, spam and fraud. And the problem is serious. In 2024, Bloomberg published a report about the extent of romance frauds, many of them carried out through fake profiles created by AI. The usual topic is cryptocurrencies and other fraudulent platforms. According to the Federal Trade CommissionIn 2022 alone, more than $1.3 billion were scammed in the United States. Loss of interest. After the boom of the pandemic, Tinder began to lose users, especially paid. Others like Bumble also began to decline and the trend has continued. According to this survey78% of users were tired of using these apps. It’s what they call ‘dating fatigue‘ and basically it is that we are too lazy to flirt through apps. and trustworthy. The fact that apps are full of fake profiles does not help their growth and Tinder knows it. The new measure is aimed at regaining the trust of users, ensuring them that they are talking to a real person and not a bot or a multi-account. Of course, it still does not address other problems, such as those who upload fake photos, lie about their relationship status or they use ChatGPT to seem more interesting than they really are. Image | Pexels In Xataka | Singles are fed up with Tinder. So they are starting to turn to an old acquaintance: marriage agencies

The Captcha had become an excellent tool to fight the bots. Until Chatgpt Agent arrived

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In 2003 a young Guatemalan named Luis von Ahn published a unique study along with two colleagues from the Carnegie Mellon University and an IBM researcher. That project described an automated test that was easy to solve for humans but practically insurmountable for artificial intelligence systems. Those researchers called that test Captcha. The concept was simple and focused on the already famous Moravec paradox: there are things that humans do effortlessly – such as solving the visual puzzles that the captcha propose – but that the machines fail to solve. The idea turned out to be one of those between one million. Von ahn He ended up creating an improved version to which He called recaptcha that not only verified that you were human: I did it helping Train and perfect OCR systems. That other complementary idea was another unique moment “Eureka!” De von Ahn, and in fact he ended up making him a millionaire in 2009, the year Google decided to buy his service. Then he would dedicate himself to another equally striking project (or perhaps more): Duolingo. A dizzying (and juicy) evolution While doing so, the captcha continued to grow and evolve. Putting it more and more difficult for machines that gradually stated that perhaps those tests were no longer so valid. From those basic captchas we ended up moving to recaptchas of all kinds in which visual puzzles not only challenged the abstraction capacity of machines, but also helped to train no longer OCR systems, but artificial vision systems to better recognize cars, buses, zebra crossings or, how not, fire mouths. But artificial vision and intelligence systems also improved, and that struggle between these tests (Captcha comes from Completely Automated Turing Tests to Tell Computers and Humans Apart) and the machines became more and more interesting. It was a Singular cat and mouse game with spambotsand when some AI system managed to overcome a captcha or any of its variants, the puzzles became more and more difficult. The story has repeated again. He did this Friday. It was then that a User of the R/OpenAI community in Reddit published captures of Chatgpt agent overcoming without apparent problems one of the recaptchas more popular and used today on the Internet. This is the system TURONSTIL from Cloudflare, which presents a small box with the text “I’M not a robot“(” I am not a robot “) to click on it. It seems very simple and simple, but it is not so much for the machines. As indicated in Cloudflare, this recaptcha variant analyzes various signals such as the mouse movement, the time we take to click, the “digital footprint” of our browser, the “reputation” of our IP or some Javascript execution patterns. With them determines whether the user is a human being or is suspicious of being a bot. And if there is suspicion, the system presents after that first captcha another in which we do have to solve some type of visual puzzle. AI does not know if it is human, it only tries to operate as such The funny thing here is that Openai’s agent solved the problem in an obvious way: seeing what was on the screen to act accordingly, something that had not been easy until now. The agent was even narrating what he was doing, and while doing that step he showed the following text: “The link is inserted, so I will click on the” verify that you are human “click to complete the verification in Cloudflare. This step is necessary to demonstrate that I am not a bot and be able to continue with the action.” Or what is the same: The machine was self -healing like a human being. It is something unusual, but perhaps not quite strange considering that 1) AI does not really know what it says and 2) has been trained to speak (and act, at least in a limited way) as a human being. Operator, Openai’s previous agriculture, passed it really bad With these systems. Does this mean that captcha are threatened with death? Probably not. This is nothing more than another battle of that war between the bots and the captcha. One that for example we saw Another AI victory In October 2024 but it did not involve the debacle of this type of user verification tests. As they point out In Ars Technicathe captcha systems have not stopped evolving. From those blurred and deformed texts we go to recaptcha in which we had to solve visual puzzles of all kinds that lately force us not to identify traffic lights, but to place an image in a specific orientation – a increasingly popular system called Arkose MatchKey– Oa having to identify some element of an image that does not agree on it. In fact, the most recent captchas are no longer so much to prevent bots from exceeding that barrier to slow them so much that making brute force attacks with bots does not compensate. Captchas not as a barrier, but as a bots brake An article of those responsible for Arkose Labs, creators of Matchkey, made it clear that “There is no completely impenetrable captcha“, and that with their proposal what they intended was” to introduce an economic deterrence or cost proof for the malicious behavior of the bots. “Or what is the same: than to develop a bot that exceeds those captcha was so expensive that It was not worth it. Thus, we should not worry much in case the agents of AI can overcome this test, because surely they will appear captchas that continue to assume an almost impassable barrier for these systems. It is precisely the same concept with which it works THE ARC-AGI 2 TESTwhich measures visual understanding and abstract reasoning of AI systems and that is so complicated that the best AI models, which are also very expensive, do not exceed 4% of cases in the best case (O3-Preview). Will there come a time when those agents of ia get … Read more

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