#Telegram bot development | Explore Tumblr posts and blogs

mariacallous · 8 months ago

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In early 2020, deepfake expert Henry Ajder uncovered one of the first Telegram bots built to “undress” photos of women using artificial intelligence. At the time, Ajder recalls, the bot had been used to generate more than 100,000 explicit photos—including those of children—and its development marked a “watershed” moment for the horrors deepfakes could create. Since then, deepfakes have become more prevalent, more damaging, and easier to produce.

Now, a WIRED review of Telegram communities involved with the explicit nonconsensual content has identified at least 50 bots that claim to create explicit photos or videos of people with only a couple of clicks. The bots vary in capabilities, with many suggesting they can “remove clothes” from photos while others claim to create images depicting people in various sexual acts.

The 50 bots list more than 4 million “monthly users” combined, according to WIRED's review of the statistics presented by each bot. Two bots listed more than 400,000 monthly users each, while another 14 listed more than 100,000 members each. The findings illustrate how widespread explicit deepfake creation tools have become and reinforce Telegram’s place as one of the most prominent locations where they can be found. However, the snapshot, which largely encompasses English-language bots, is likely a small portion of the overall deepfake bots on Telegram.

“We’re talking about a significant, orders-of-magnitude increase in the number of people who are clearly actively using and creating this kind of content,” Ajder says of the Telegram bots. “It is really concerning that these tools—which are really ruining lives and creating a very nightmarish scenario primarily for young girls and for women—are still so easy to access and to find on the surface web, on one of the biggest apps in the world.”

Explicit nonconsensual deepfake content, which is often referred to as nonconsensual intimate image abuse (NCII), has exploded since it first emerged at the end of 2017, with generative AI advancements helping fuel recent growth. Across the internet, a slurry of “nudify” and “undress” websites sit alongside more sophisticated tools and Telegram bots, and are being used to target thousands of women and girls around the world—from Italy’s prime minister to school girls in South Korea. In one recent survey, a reported 40 percent of US students were aware of deepfakes linked to their K-12 schools in the last year.

The Telegram bots identified by WIRED are supported by at least 25 associated Telegram channels—where people can subscribe to newsfeed-style updates—that have more than 3 million combined members. The Telegram channels alert people about new features provided by the bots and special offers on “tokens” that can be purchased to operate them, and often act as places where people using the bots can find links to new ones if they are removed by Telegram.

After WIRED contacted Telegram with questions about whether it allows explicit deepfake content creation on its platform, the company deleted the 75 bots and channels WIRED identified. The company did not respond to a series of questions or comment on why it had removed the channels.

Additional nonconsensual deepfake Telegram channels and bots later identified by WIRED show the scale of the problem. Several channel owners posted that their bots had been taken down, with one saying, “We will make another bot tomorrow.” Those accounts were also later deleted.

Hiding in Plain Sight

Telegram bots are, essentially, small apps that run inside of Telegram. They sit alongside the app’s channels, which can broadcast messages to an unlimited number of subscribers; groups where up to 200,000 people can interact; and one-to-one messages. Developers have created bots where people take trivia quizzes, translate messages, create alerts, or start Zoom meetings. They’ve also been co-opted for creating abusive deepfakes.

Due to the harmful nature of the deepfake tools, WIRED did not test the Telegram bots and is not naming specific bots or channels. While the bots had millions of monthly users, according to Telegram’s statistics, it is unclear how many images the bots may have been used to create. Some users, who could be in multiple channels and bots, may have created zero images; others could have created hundreds.

Many of the deepfake bots viewed by WIRED are clear about what they have been created to do. The bots’ names and descriptions refer to nudity and removing women’s clothes. “I can do anything you want about the face or clothes of the photo you give me,” the creators’ of one bot wrote. “Experience the shock brought by AI,” another says. Telegram can also show “similar channels” in its recommendation tool, helping potential users bounce between channels and bots.

Almost all of the bots require people to buy “tokens” to create images, and it is unclear if they operate in the ways they claim. As the ecosystem around deepfake generation has flourished in recent years, it has become a potentially lucrative source of income for those who create websites, apps, and bots. So many people are trying to use “nudify” websites that Russian cybercriminals, as reported by 404Media, have started creating fake websites to infect people with malware.

While the first Telegram bots, identified several years ago, were relatively rudimentary, the technology needed to create more realistic AI-generated images has improved—and some of the bots are hiding in plain sight.

One bot with more than 300,000 monthly users did not reference any explicit material in its name or landing page. However, once a user clicks to use the bot, it claims it has more than 40 options for images, many of which are highly sexual in nature. That same bot has a user guide, hosted on the web outside of Telegram, describing how to create the highest-quality images. Bot developers can require users to accept terms of service, which may forbid users from uploading images without the consent of the person depicted or images of children, but there appears to be little or no enforcement of these rules.

Another bot, which had more than 38,000 users, claimed people could send six images of the same man or woman—it is one of a small number that claims to create images of men—to “train” an AI model, which could then create new deepfake images of that individual. Once users joined one bot, it would present a menu of 11 “other bots” from the creators, likely to keep systems online and try to avoid removals.

“These types of fake images can harm a person’s health and well-being by causing psychological trauma and feelings of humiliation, fear, embarrassment, and shame,” says Emma Pickering, the head of technology-facilitated abuse and economic empowerment at Refuge, the UK’s largest domestic abuse organization. “While this form of abuse is common, perpetrators are rarely held to account, and we know this type of abuse is becoming increasingly common in intimate partner relationships.”

As explicit deepfakes have become easier to create and more prevalent, lawmakers and tech companies have been slow to stem the tide. Across the US, 23 states have passed laws to address nonconsensual deepfakes, and tech companies have bolstered some policies. However, apps that can create explicit deepfakes have been found in Apple and Google’s app stores, explicit deepfakes of Taylor Swift were widely shared on X in January, and Big Tech sign-in infrastructure has allowed people to easily create accounts on deepfake websites.

Kate Ruane, director of the Center for Democracy and Technology’s free expression project, says most major technology platforms now have policies prohibiting nonconsensual distribution of intimate images, with many of the biggest agreeing to principles to tackle deepfakes. “I would say that it’s actually not clear whether nonconsensual intimate image creation or distribution is prohibited on the platform,” Ruane says of Telegram’s terms of service, which are less detailed than other major tech platforms.

Telegram’s approach to removing harmful content has long been criticized by civil society groups, with the platform historically hosting scammers, extreme right-wing groups, and terrorism-related content. Since Telegram CEO and founder Pavel Durov was arrested and charged in France in August relating to a range of potential offenses, Telegram has started to make some changes to its terms of service and provide data to law enforcement agencies. The company did not respond to WIRED’s questions about whether it specifically prohibits explicit deepfakes.

Execute the Harm

Ajder, the researcher who discovered deepfake Telegram bots four years ago, says the app is almost uniquely positioned for deepfake abuse. “Telegram provides you with the search functionality, so it allows you to identify communities, chats, and bots,” Ajder says. “It provides the bot-hosting functionality, so it's somewhere that provides the tooling in effect. Then it’s also the place where you can share it and actually execute the harm in terms of the end result.”

In late September, several deepfake channels started posting that Telegram had removed their bots. It is unclear what prompted the removals. On September 30, a channel with 295,000 subscribers posted that Telegram had “banned” its bots, but it posted a new bot link for users to use. (The channel was removed after WIRED sent questions to Telegram.)

“One of the things that’s really concerning about apps like Telegram is that it is so difficult to track and monitor, particularly from the perspective of survivors,” says Elena Michael, the cofounder and director of #NotYourPorn, a campaign group working to protect people from image-based sexual abuse.

Michael says Telegram has been “notoriously difficult” to discuss safety issues with, but notes there has been some progress from the company in recent years. However, she says the company should be more proactive in moderating and filtering out content itself.

“Imagine if you were a survivor who’s having to do that themselves, surely the burden shouldn't be on an individual,” Michael says. “Surely the burden should be on the company to put something in place that's proactive rather than reactive.”

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submissivewelshranger · 9 months ago

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Fake spam-bot accounts have really irked me today. If you recognise yourself in the following rant then please accept that you are an unwelcome parasite!

I, like countless others, are bombarded by dozens of unsolicited DMs spamming our inboxes from accounts claiming to be “experienced and well trained” mistresses. Most will have reposts that we will have previously “liked” but no original posts. Others will have maybe a single post if lucky.

The vast majority will have empty bios or a simple “your mistress”.

99% will send a greeting along these lines: “Hey sissy, Hi slut or Hello slave”.

First and foremost YOU DON’T KNOW US! What on this Goddess—given Earth makes you assume you can speak to a complete stranger in this way? You have to EARN the right to address us in this way.

Yes we may be submissive, I know some REAL DOMMES who have also been approached in this manner. Show some RESPECT FFS! Don’t be surprised if I address you back in a similar manner.

DISCLAIMER: UNSOLICITED BOT DMs WILL BE SHARED AND POSTED FOR TRAINING PURPOSES!

Secondly, we’re not all looking for an owner. I even have it clearly stated in my bio! I know I’m not the only one who does this.

Speaking of bios, READ THEM YOU MORONS! Asking for name, age and location WHEN IT’S CLEARLY STATED AT THE TOP OF THE BIO shows a complete lack of respect for the account you’re attempting to contact! It’s a number One telltale sign that you’re a bot!

On a similar vein, castigating our bios when yours are empty just screams BOT or AI account.

We are REAL PEOPLE who want to chat with other PEOPLE with similar interests. If I want to get intimate with a Bot then I will stick my dick in a blender: it would certainly be a more pleasant experience!

Finally you are giving real Masters and Mistresses a bad name. It’s a very rare occasion for a genuine Domme to message us out of the blue; I’m still waiting to be contacted by Mistress Alice in Bondageland, Mistress Natalie Mars or ideally the Goddess, London Andrews offering to collar me. Those three Ladies would definitely give me the perfect reason to submit willingly, heart, body and soul!

In the meantime I am happy to chat with anyone- PROVIDING YOU HAVE THE DECENCY to actually take the time to find out about us from our blogs.

For the benefit of the accounts asking me to chat privately on other platforms, i only do so with people i feel a connection with. In most circumstances this will develop over weeks or months. Don’t expect me to provide my Telegram or Zangi to an empty account that’s been active for literally five minutes!

Here’s the Bot test; I’m now 53 and live in the heartland of Eryri, North Wales’ beautiful mountainous area where we still speak our native language. 🏴󠁧󠁢󠁷󠁬󠁳󠁿

Thank you for your patience.

#rant post #fake dommes #spam domme

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cyber-sec · 2 months ago

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Rogue npm Packages Mimic Telegram Bot API to Plant SSH Backdoors on Linux Systems

Source: https://thehackernews.com/2025/04/rogue-npm-packages-mimic-telegram-bot.html

More info: https://socket.dev/blog/npm-malware-targets-telegram-bot-developers

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bimagine · 2 months ago

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There is sweet guy from australia i met randomly on telegram's annonymous chat bot. He doesnt like the others i think... i hope. I hope he's really genuine because i feel like everytime we started to have conversation, i wanted to combust. We dont know each other that well, let alone our looks, but i feel like... we have this unspoken tension that make me feel numb. I have a feeling that he aint like other guys i met and exchanged ids but still, my trust issues are developing to 200%.

#telegram #annonymous #crush #love #best friends #idk what else to tag

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khariscrypt · 4 months ago

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Tobi and STON.fi: A Game-Changer for Crypto Trading on Telegram

The way we trade crypto is evolving. We’ve seen decentralized exchanges (DEXs) transform how we swap assets, and we’ve seen AI-driven tools make complex processes simpler. But what happens when you combine the efficiency of AI with the power of a top-tier DEX?

That’s exactly what’s happening with Tobi, an AI-powered trading bot on Telegram, and STON.fi, a leading DEX on the TON blockchain. This integration brings a seamless, user-friendly, and fully decentralized trading experience—all within Telegram.

What Makes Tobi Unique

Tobi isn’t just another trading bot. It’s built to simplify crypto trading, making it accessible to both beginners and experienced traders. Here’s what users can do with Tobi:

Swap assets across multiple networks with minimal effort.

Store assets securely with its built-in non-custodial wallet.

Access real-time market data and asset insights without leaving Telegram.

By integrating with STON.fi, Tobi now expands its reach to the TON blockchain, enabling smooth token swaps on one of the fastest-growing networks.

Why Does This Matter

Crypto trading often comes with challenges—high fees, complex interfaces, and multiple steps just to execute a simple swap. For many, trading on DEXs can feel overwhelming. But with this new integration, users can now trade directly in Telegram without navigating through different platforms.

What this means for traders:

No more switching between apps—all trades happen within the chat.

Lower fees and faster transactions thanks to TON’s scalability.

Complete ownership of assets since everything remains decentralized.

This integration streamlines the process, removing unnecessary barriers and making DeFi trading more accessible.

STON.fi’s Expanding Influence

The STON.fi SDK has already been adopted by several major projects, including Tonkeeper, Wallet, Punk City, Tap Fantasy, and TapSwap. These platforms are leveraging STON.fi’s technology to provide users with better DeFi experiences, proving that its impact extends far beyond just one integration.

For developers and crypto projects, this SDK offers a straightforward way to incorporate decentralized swaps into their products, enabling more platforms to provide frictionless DeFi services.

The Future of AI in Crypto Trading

The integration of AI-powered tools with DeFi solutions is a major step toward fully automated and intelligent trading systems. As AI continues to evolve, we’ll likely see even more innovations in:

Automated trading strategies that analyze market trends in real time.

Risk management tools that help users make better financial decisions.

More intuitive trading experiences that eliminate complexities for users.

With Tobi and STON.fi working together, this marks the beginning of a new era where AI and DeFi create smarter, faster, and more accessible trading experiences.

Final Thoughts

Crypto trading shouldn’t be complicated. By merging AI automation with decentralized finance, we are moving toward a future where anyone can trade easily, securely, and with full control of their assets. The Tobi-STON.fi integration is proof that innovation in DeFi is far from slowing down.

This is just the beginning. The future of crypto trading is smarter, faster, and fully decentralized.

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kirke-social · 10 months ago

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📣 🥕 ARTISTS CALL 🥕📣

Looking for human artists to Betatest Kirke

Marketplace + social network in one single cozy corner ☕️

We’re mixing Kofi, Vgen, Tumblr, Patreon, flour, eggs, 180 degrees in oven 🍰

We need the art community’s feedback to do it in the best way possible! 🚀

🥕 Our mission

As fans and artists ourselves, we wanted to tidy up the situation.

Artists are shadowbanned, scattered, difficult to find, to keep in touch with and to purchase from in safety; all because there isn’t one main, tailored place!

“I will do my own art platform, with Blackjack and hookers” - Futurama

🥕 How to join the cult project

For fans

Go on www.kirke.social > Sign up as fan 🐣

For artists

Check our mutuals in common > Ask them an “Artist invitation link” > Join as artist 👨‍🎨

ALTERNATIVE

Go on www.kirke.social > Sign up as fan > Enter the Discord group > Show your portfolio in the “artists-waiting-for-invitation” channel and wait for our talent scout to check if you’re human 👽

🥕 Now on Kirke

• NO AI, artists invite artists or you join as fan

• Portfolio building

• Commissions info collecting

• 100% community reach

🥕 Soon on Kirke

• Safe commission system & fanbase management + marketplace

• Shop&donations

• More social network features

🥕 The team

• Italians

• Volunteering

• In our 20s

• Queer & Neurodivergent supportive (otherwise it would be like punching ourselves)

🥕 Betatesting

Right now there are +1400 international Beta Testers trying Kirke features and telling us what to develop next: today we’re focusing on the safe commissions system.

We have a Discord group and a Telegram group of 600 artists. To avoid bots, you get the link right after creating your Kirke account✨

We’re active daily on Instagram at kirke.social, Tumblr is new territory, I hope I did good 🥹

#artists on tumblr

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digitaldetoxworld · 5 months ago

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"Telegram Marketing Hacks: Build Your Audience and Drive Conversions"

Telegram has emerged as a powerful platform for entrepreneurs. With its robust functions, high engagement rates, and developing international consumer base, Telegram offers specific possibilities for manufacturers to connect with their target audience. This manual explores how to leverage Telegram for marketing success.

Creating keyword-rich content for Telegram marketing

Why Choose Telegram for Marketing?

1. Massive User Base

Telegram has over 800 million month-to-month lively users (as of 2023), making it a fertile ground for accomplishing a diverse target audience.

2. High Engagement Rates

Telegram customers generally tend to interact more with content in comparison to other social media platforms. Its notification machine ensures that messages are visible through a huge percentage of subscribers.

Three. Secure and Private

With cease-to-stop encryption, Telegram is a trusted platform for customers concerned approximately privateness, which enables construct credibility to your logo.

4. Rich Features

Telegram gives channels, companies, bots, and media sharing capabilities that allow companies to execute diverse advertising strategies.

Getting Started with Telegram Marketing

1. Create a Telegram Account

Start by way of growing a Telegram account and set up a commercial enterprise profile. Use a expert profile photo, together with your brand logo, and write a compelling bio that describes your commercial enterprise.

2. Choose Your Marketing Approach

Decide whether or not to apply:

Telegram Channels: Best for broadcasting messages to a huge target audience.

Telegram Groups: Ideal for fostering network and direct engagement.

Bots: Automate customer service, surveys, and lead generation.

Building Your Audience

1. Promote Your Telegram Channel or Group

Share your channel hyperlink across other social media systems, your website, and e-mail newsletters.

Offer incentives, along with distinct content, reductions, or giveaways, to encourage sign-ups.

2. Use QR Codes

Generate QR codes related in your channel and encompass them in offline materials like posters, enterprise playing cards, or product packaging.

3. Collaborate with Influencers

Partner with influencers for your niche who have an active Telegram presence. They can sell your channel or group to their target market.

4. Optimize Your Channel Description

Use key phrases to your channel’s description to make it searchable on Telegram. Include a clean name-to-movement (CTA) that encourages customers to subscribe.

Content Strategies for Telegram Marketing

1. High-Quality Content

Post visually attractive and well-crafted content material. Use pix, films, infographics, and concise textual content to seize interest.

2. Consistency

Maintain a consistent posting schedule. Analyze your target market’s lively hours and put up as a consequence.

Three. Personalized Messages

Use Telegram's personalization functions to segment your target market and send tailored content material. For example, you may use bots to deliver personalised offers.

4. Interactive Content

Encourage engagement by posting polls, quizzes, and questions. For instance, a clothing brand may want to ask, “Which fashion do you decide on?” to collect insights and engage fans.

Leveraging Telegram Features

1. Channels

Channels are excellent for one-manner communique. Use them to:

Share updates, promotions, and announcements.

Provide exclusive content material, together with at the back of-the-scenes movies or early get right of entry to to income.

2. Groups

Groups permit -way verbal exchange. They are top notch for:

Building a community around your emblem.

Hosting Q&A sessions or discussions.

Collecting comments and ideas out of your audience.

Three. Bots

Telegram bots can automate tasks including:

Sending reminders about promotions.

Providing instant customer support.

Collecting email addresses or different leads.

Four. Polls and Quizzes

Use polls to accumulate critiques or comments. Quizzes may be used for academic content or to gamify engagement.

Best Practices for Telegram Marketing

1. Don’t Spam

Avoid overloading your subscribers with messages. Respect their time and keep your updates relevant and concise.

2. Offer Value

Ensure each message can provide price, whether it’s information, enjoyment, or a unique provide.

Three. Encourage Sharing

Make it clean for users to proportion your content. Use CTAs like “Forward this to a friend” to increase your attain.

Four. Monitor Analytics

Use Telegram’s integrated analytics equipment to tune subscriber increase, engagement rates, and content performance. Adjust your method based on records.

Examples of Telegram Marketing Campaigns

1. Product Launch

Use a channel to announce new merchandise. Share teasers, countdowns, and at the back of-the-scenes content material main up to the launch.

2. Exclusive Discounts

Offer specific discounts in your Telegram subscribers. For instance, “Get 20% off with the code TELE20, best for our Telegram community!”

three. Community Engagement

Create a group where customers can speak your brand, percentage opinions, and ask questions. Moderators can ensure the conversation remains fine and relevant.

Four. Educational Content

Share guidelines, tutorials, or courses related to your niche. For example, a fitness brand could publish exercise routines or meal plans.

Measuring Success

1. Engagement Metrics

Track the quantity of perspectives, clicks, and stocks for each put up.

2. Subscriber Growth

Monitor how speedy your channel or organization is growing. A regular growth suggests effective marketing.

Three. Feedback

Use polls, surveys, and direct messages to gather comments from your audience. Ask what content material they find most valuable.

4. ROI

Calculate the go back on investment (ROI) by way of evaluating the cost of your Telegram advertising efforts to the sales generated.

Challenges in Telegram Marketing

1. Building a Subscriber Base

It can take time to develop your target audience, especially inside the preliminary degrees. Consistent promotion and valuable content material are key.

2. Keeping Subscribers Engaged

Maintaining engagement calls for sparkling and thrilling content material. Avoid repetitive posts.

3. Handling Negative Feedback

In agencies, you may come upon grievance. Respond professionally and use poor comments as an possibility to improve.

#telegram marketing #tech #digital marketing

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atcuality5 · 2 months ago

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Build Telegram Bots That Drive Engagement and Save Time

Atcuality is your trusted partner for building intelligent, intuitive Telegram bots that help you scale your communication and engagement strategies. Whether you need a bot for broadcasting content, managing subscriptions, running interactive polls, or handling customer queries, we’ve got you covered. Our development process is rooted in innovation, testing, and real-world user experience. In the center of our offerings is Telegram Bot Creation, a service that transforms your ideas into reliable, automation-driven tools. Each bot is tailored to your brand voice, target audience, and functionality needs. With Atcuality, you benefit from fast development, clean code, and responsive support. Our bots are not just tools—they’re digital assets designed to grow with you. Trust us to deliver a solution that enhances your Telegram presence and makes a measurable impact.

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atcuality1 · 5 months ago

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Streamline Operations with ATCuality’s Telegram Bot Creation Services

Are you looking to streamline your operations and improve customer communication? Atcuality offers top-notch Telegram Bot Creation services that can automate repetitive tasks and make your business more efficient. Our expert developers can create bots that perform a variety of functions, from processing orders and collecting feedback to handling customer queries and updating clients. With our Telegram bots, you’ll free up valuable time and resources, allowing your team to focus on more strategic tasks. We take a user-centered approach, ensuring that the bots we create are intuitive, functional, and seamlessly integrate with your business systems. Let us help you transform your workflow and enhance your operational efficiency with a custom Telegram bot.

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panaromicinoftechs · 1 year ago

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The Impact of AI on Conversational Design in Chatbot Development

The advent of artificial intelligence (AI) has dramatically transformed the landscape of conversational design in chatbot development. As AI technologies continue to evolve, they are making chatbots more intelligent, intuitive, and capable of providing seamless user experiences. This blog explores the profound impact AI has on conversational design, highlighting the key advancements and benefits it brings to chatbot development.

1. Natural Language Processing (NLP)

Natural Language Processing (NLP) is at the heart of AI-driven conversational design. NLP enables chatbots to understand, interpret, and respond to human language in a way that is both natural and meaningful. With advancements in NLP, chatbots can now handle complex queries, understand context, and maintain coherent conversations, making interactions more human-like. Tools like Google's Dialogflow, Microsoft's LUIS, and open-source libraries such as spaCy and NLTK are instrumental in developing sophisticated NLP capabilities for chatbots.

2. Contextual Understanding

AI enhances chatbots' ability to understand the context of a conversation. Unlike traditional rule-based chatbots, AI-driven chatbots can remember previous interactions, recognize user intent, and provide contextually relevant responses. This leads to more fluid and engaging conversations, as users feel understood and valued. Contextual understanding is particularly beneficial for customer service, where chatbots can efficiently resolve issues based on past interactions.

3. Personalization

AI enables chatbots to deliver personalized experiences by analyzing user data and behavior. Personalization can range from addressing users by their names to offering tailored recommendations based on their preferences and history. By leveraging machine learning algorithms, chatbots can continuously learn from user interactions and refine their responses, making each interaction more relevant and personalized. This level of personalization enhances user satisfaction and loyalty.

4. Emotion Detection and Sentiment Analysis

Advanced AI algorithms can now detect emotions and analyze the sentiment behind user messages. This capability allows chatbots to respond empathetically and appropriately to users' emotional states. For example, if a user expresses frustration, the chatbot can recognize this and respond with a calming and supportive tone. Emotion detection and sentiment analysis improve the overall user experience by making interactions more human-centric and emotionally intelligent.

5. Multilingual Support

AI-driven chatbots can support multiple languages, breaking down language barriers and expanding their reach to a global audience. With AI's ability to understand and generate text in different languages, businesses can provide consistent and high-quality customer support across various regions. This is particularly important for companies with a diverse customer base, as it ensures accessibility and inclusivity in their services.

6. Voice Integration

Voice-activated chatbots, powered by AI, are becoming increasingly popular. These chatbots use speech recognition and synthesis technologies to enable voice interactions, providing a hands-free and convenient user experience. AI enhances voice integration by improving the accuracy of speech recognition and generating natural-sounding responses. Voice-activated chatbots are particularly useful in scenarios where typing is impractical, such as driving or performing manual tasks.

7. Continuous Learning and Improvement

AI enables chatbots to continuously learn and improve over time. Machine learning algorithms analyze user interactions, identify patterns, and update the chatbot's knowledge base. This iterative learning process ensures that chatbots become more accurate and efficient with each interaction. Continuous improvement is crucial for maintaining the relevance and effectiveness of chatbots in meeting evolving user needs and expectations.

The impact of AI on conversational design in chatbot development is profound, driving significant advancements in how chatbots interact with users. From understanding natural language and context to providing personalized and emotionally intelligent responses, AI is making chatbots smarter, more intuitive, and more user-centric Panoramic Infotech is a leading chatbot development company that harnesses the power of AI to create cutting-edge chatbot solutions. Partner with Panoramic Infotech to leverage the latest advancements in AI and elevate your customer interactions to new heights.

#AI Chatbots #Chatbot Development company #Chatbot Development #Chatbot Developers #facebook chatbots #slack bots #telegram bots

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obanicrypto · 6 months ago

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STON.fi: The Future of Decentralized Trading on TON Blockchain

In a world where control over your finances is more important than ever, STON.fi steps up as the leading decentralized exchange (DEX) on The Open Network (TON) blockchain. It’s not just about trading; it’s about empowering you to take full control of your digital assets. Let’s break it down into simple, relatable terms.

What Makes STON.fi Special

Have you ever traded crypto and worried about losing access to your funds? Or felt frustrated by slow, costly transactions? STON.fi solves these problems by letting you trade directly without intermediaries. You control your private keys, ensuring your funds are always safe.

With advanced tech like Request for Quote (RFQ) protocols and Hashed Timelock Contracts (HTLC), STON.fi guarantees quick, transparent, and secure transactions. You’re either getting exactly what you agreed on, or the trade doesn’t happen. No middlemen, no surprises.

Trade Made Simple: Swapping TON-Based Tokens

Imagine swapping one crypto for another without the hassle of converting to fiat first. That’s what STON.fi offers. You can trade $TON for other TON-based tokens with ease, all while enjoying low fees (just 0.3% per trade).

Here’s the kicker: when you trade, part of the fee goes back to liquidity providers, meaning the community benefits as a whole.

Earning Opportunities on STON.fi

Who doesn’t love making their money work for them? STON.fi offers several ways to earn:

1. Provide Liquidity: By adding your tokens to liquidity pools, you earn rewards based on your contribution.

2. Farming: Stake LP tokens to get even more rewards from specific pools.

3. STONbassador Program: Promote STON.fi and earn for helping the platform grow.

Meet the $STON Token

Think of $STON as the backbone of the STON.fi ecosystem. It’s used for governance, gas fees, and transactions. Plus, it has a limited supply of 100 million, making it a valuable asset over time.

STON.fi takes community seriously. That’s why half of all $STON tokens are reserved for the DAO (Decentralized Autonomous Organization). This means you get a say in how the platform evolves, from deciding new features to choosing supported assets.

For Builders: The STON.fi SDK & Grants

Are you a developer? STON.fi has something for you too. Their SDK (Software Development Kit) makes it easy to integrate wallets, exchanges, and games into the platform. And if you have a great idea, the STON.fi grant program can fund you with up to $10,000 USDT.

The Future: STON.fi V2

STON.fi isn’t just about today; it’s building for tomorrow. Here’s what’s coming:

Multi-Chain Integration: Trade across networks like Polygon and EVM-compatible chains.

Telegram Bot for Cross-Chain Swaps: Trade assets directly from your Telegram app.

Margin Trading: Use borrowed funds to amplify your trades.

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Why STON.fi

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mariacallous · 2 months ago

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American police departments near the United States-Mexico border are paying hundreds of thousands of dollars for an unproven and secretive technology that uses AI-generated online personas designed to interact with and collect intelligence on “college protesters,” “radicalized” political activists, and suspected drug and human traffickers, according to internal documents, contracts, and communications that 404 Media obtained via public records requests.

Massive Blue, the New York–based company that is selling police departments this technology, calls its product Overwatch, which it markets as an “AI-powered force multiplier for public safety” that “deploys lifelike virtual agents, which infiltrate and engage criminal networks across various channels.” According to a presentation obtained by 404 Media, Massive Blue is offering cops these virtual personas that can be deployed across the internet with the express purpose of interacting with suspects over text messages and social media.

Massive Blue lists “border security,” “school safety,” and stopping “human trafficking” among Overwatch’s use cases. The technology—which as of last summer had not led to any known arrests—demonstrates the types of social media monitoring and undercover tools private companies are pitching to police and border agents. Concerns about tools like Massive Blue have taken on new urgency considering that the Trump administration has revoked the visas of hundreds of students, many of whom have protested against Israel’s war in Gaza.

404 Media obtained a presentation showing some of these AI characters. These include a “radicalized AI” “protest persona,” which poses as a 36-year-old divorced woman who is lonely, has no children, is interested in baking, activism, and “body positivity.” Another AI persona in the presentation is described as a “‘Honeypot’ AI Persona.” Her backstory says she’s a 25-year-old from Dearborn, Michigan, whose parents emigrated from Yemen and who speaks the Sanaani dialect of Arabic. The presentation also says she uses various social media apps, that she’s on Telegram and Signal, and that she has US and international SMS capabilities. Other personas are a 14-year-old boy “child trafficking AI persona,” an “AI pimp persona,” “college protestor,” “external recruiter for protests,” “escorts,” and “juveniles.”

Our reporting shows that cops are paying a company to help them deploy AI-powered bots across social media and the internet to talk to people they suspect are anything from violent sex criminals all the way to vaguely defined “protestors” with the hopes of generating evidence that can be used against them.

“This idea of having an AI pretending to be somebody, a youth looking for pedophiles to talk online, or somebody who is a fake terrorist, is an idea that goes back a long time,” Dave Maass, who studies border surveillance technologies for the Electronic Frontier Foundation, told 404 Media. “The problem with all these things is that these are ill-defined problems. What problem are they actually trying to solve? One version of the AI persona is an escort. I’m not concerned about escorts. I’m not concerned about college protesters. So like, what is it effective at, violating protesters’ First Amendment rights?”

Massive Blue has signed a $360,000 contract with Pinal County, Arizona, which is between Tucson and Phoenix. The county is paying for the contract with an anti-human trafficking grant from the Arizona Department of Public Safety. A Pinal County purchasing division report states that it has bought “24/7 monitoring of numerous web and social media platforms” and “development, deployment, monitoring, and reporting on a virtual task force of up to 50 AI personas across 3 investigative categories.” Yuma County, in southwestern Arizona, meanwhile, signed a $10,000 contract to try Massive Blue in 2023 but did not renew the contract. A spokesperson for the Yuma County Sheriff’s Office told 404 Media “it did not meet our needs.”

Massive Blue cofounder Mike McGraw did not answer a series of specific questions from 404 Media about how Massive Blue works, what police departments it works with, and whether it had been used to generate any arrests. “We are proud of the work we do to support the investigation and prosecution of human traffickers,” McGraw said. “Our primary goal is to help bring these criminals to justice while helping victims who otherwise would remain trafficked. We cannot risk jeopardizing these investigations and putting victims’ lives in further danger by disclosing proprietary information.”

The Pinal County Sheriff’s Office told 404 Media that Massive Blue has not thus far been used for any arrests.

“Our investigations are still underway. Massive Blue is one component of support in these investigations, which are still active and ongoing. No arrests have been made yet,” Sam Salzwedel, Pinal County Sheriff's Office public information officer, told 404 Media. “It takes a multifaceted approach to disrupting human traffickers, narcotics traffickers, and other criminals. Massive Blue has been a valuable partner in these initiatives and has produced leads that detectives are actively pursuing. Given these are ongoing investigations, we cannot risk compromising our investigative efforts by providing specifics about any personas.”

Salzwedel added, “Massive Blue is not working on any immigration cases. Our agency does not enforce immigration law. Massive Blue’s support is focused on the areas of human trafficking, narcotics trafficking, and other investigations.”

Law enforcement agencies have taken steps to prevent specifics about what Massive Blue is and how it works from becoming public. At public appropriations hearings in Pinal County about the Massive Blue contract, the sheriff’s office refused to tell county council members about what the product even is. Matthew Thomas, Pinal County Deputy Sheriff, told the county council he “can’t get into great detail” about what Massive Blue is and that doing so would “tip our hand to the bad guys.”

Pinal County Sheriff’s Office did not respond to multiple requests for comment. The Arizona Department of Public Safety said, “From what we can ascertain, Pinal County planned to implement technology to help identify and solve human trafficking cases, and that is what we funded,” but was unaware of any of the specifics of Overwatch.

While the documents don’t describe every technical aspect of how Overwatch works, they do give a high-level overview of what it is. The company describes a tool that uses AI-generated images and text to create social media profiles that can interact with suspected drug traffickers, human traffickers, and gun traffickers. After Overwatch scans open social media channels for potential suspects, these AI personas can also communicate with suspects over text, Discord, and other messaging services. The documents we obtained don’t explain how Massive Blue determines who is a potential suspect based on their social media activity. Salzwedel, of Pinal County, said “Massive Blue’s solutions crawl multiple areas of the Internet, and social media outlets are just one component. We cannot disclose any further information to preserve the integrity of our investigations.”

One slide in the Massive Blue presentation obtained by 404 Media gives the example of a “Child Trafficking AI Persona” called Jason. The presentation gives a short “backstory” for the persona, which says Jason is a 14-year-old boy from Los Angeles whose parents emigrated from Ecuador. He’s bilingual and an only child, and his hobbies include anime and gaming. The presentation describes his personality as shy and that he has difficulty interacting with girls. It also says that his parents don’t allow him to use social media and that he hides his use of Discord from them. This AI persona is also accompanied by an AI-generated image of a boy.

The presentation includes a conversation between this AI persona and what appears to be a predatory adult over text messages and Discord.

“Your parents around? Or you getting some awesome alone time,” a text from the adult says.

“Js chillin by myself, man. My momz @ work n my dadz outta town. So itz jus me n my vid games. 🎮,” Jason, the AI-generated child, responds.

In another example of how the “highly adaptable personas” can communicate with real people, the presentation shows a conversation between Clip, an “AI pimp persona,” and what appears to be a sex worker.

“Dem tricks trippin 2nite tryin not pay,” the sex worker says.

“Facts, baby. Ain’t lettin’ these tricks slide,” the Clip persona replies. “You stand your ground and make ’em pay what they owe. Daddy got your back, ain’t let nobody disrespect our grind. Keep hustlin’, ma, we gonna secure that bag💰💪✨”

“The continuous evolution of operational, communication & recruitment tactics by bad actors drives exponential increases of threats and significant challenges in reducing demand,” says a one-page brochure provided to police departments that explains Overwatch’s functionality. “The Overwatch platform harnesses the power of AI & blockchain to scale your impact without operational or technical overhead.”

Jorge Brignoni took notes for the Cochise County, Arizona, Sheriff’s Office at a meeting with Massive Blue in August 2023, which 404 Media obtained. In the notes, he wrote that Overwatch does “passive engagement, then active engagement, towards commitment” with a “Bad Actor, Predator, DTO,” or drug trafficking organization. These targets are then “HAND[ed] OFF to L.E. [law enforcement] to arrest, indict, convict.”

“Why is he talking about converting folks into ‘buying something,’” Brignoni wrote. “So dumb. Talk about the widget, not how you’re selling the widget to L.E.”

According to Brignoni’s notes, in addition to collecting intelligence via these AI personas, Overwatch also leverages “Telco & Geo Data” and “Blockchain Data” in the form of “full transaction history, top associated wallet IDs, sending & receiving cryptocurrency, potential off-ramps (Exchange names).” The Cochise County Sheriff’s Office ultimately did not buy Massive Blue and did not provide answers to 404 Media’s questions about its meeting with the company.

Besides scanning social media and engaging suspects with AI personas, the presentation says that Overwatch can use generative AI to create “proof of life” images of a person holding a sign with a username and date written on it in pen.

The Massive Blue presentation gives an example of an “Overwatch Recon Report” based on “24 hours of activity across Dallas, Houston, and Austin.” It claims that Overwatch identified 3,266 unique human traffickers, 25 percent of which were affiliated with “larger sophisticated trafficking organizations” and 15 percent of which were flagged as “potential juvenile traffickers.” 404 Media was not able to verify what these accounts were and whether they actually engaged in any criminal activity, and Massive Blue didn’t respond to questions about what these accounts were and how exactly it identified them.

On top of the ongoing contract with the Pinal County Sheriff’s Office and the pilot with the Yuma County Sheriff’s Department last year, Massive Blue has pitched its services to Cochise County in Arizona and the Texas Department of Public Safety, according to documents obtained as part of this investigation.

In September 2023, Yuma County set up a meeting that was going to include federal law enforcement, but Massive Blue had to cancel the meeting: “That’s unfortunate, we had federal agents here that focus on human trafficking ready to go,” a Yuma County sergeant wrote in an email to Massive Blue CEO Brian Haley after Haley canceled the meeting.

Much of Massive Blue’s public-facing activity has been through its executive director of public safety, Chris Clem, who is a former US Customs and Border Protection agent who testified before Congress about border security last year and regularly appears on Fox News and other media outlets to discuss immigration and the border. In recent months, Clem has posted images of himself on LinkedIn at the border and with prominent Trump administration members Tulsi Gabbard and Robert F. Kennedy Jr. Massive Blue has also relied on former Kansas City Chiefs kicker Nick Lowery to introduce and endorse Overwatch to police departments.

Clem and Lowery have spoken most extensively publicly about Overwatch, where they have described it as an amorphous “cyberwall” that can do everything from stopping human traffickers to preventing hackers from breaking into 401(k) accounts to taking money back from hackers who have stolen from you, though they provide no specifics about how that would work.

In a two-and-a-half-hour interview with podcaster Theo Von, Clem said, “My company Massive Blue, we basically use deep tech to identify the habits and process of you know, look, I worked on a physical wall, now we’ve created a cyberwall,” adding that he believed it would “save lives.”

Von asked, “OK, but how does your company do that?”

“Well, I’m not going to get into that too much,” Clem responded, adding that he is trying to sell the technology to US Border Patrol.

On June 5, a Pinal County Board of Supervisors meeting was asked to approve a $500,000 contract between the county and Massive Blue in order to license Overwatch.

“I was looking at the website for Massive Blue, and it’s a one-pager with no additional information and no links,” Kevin Cavanaugh, the then-supervisor for District 1, said to Pinal County’s Chief Deputy at the Sheriff’s Office, Matthew Thomas. “They produce software that we buy, and it does what? Can you explain that to us?”

“I can’t get into great detail because it’s essentially trade secrets, and I don’t want to tip our hand to the bad guys,” Thomas said. “But what I can tell you is that the software is designed to help our investigators look for and find and build a case on human trafficking, drug trafficking, and gun trafficking.”

Cavanaugh said at the board meeting that the basic information he got is that Massive Blue uses “50 AI bots.” He then asked whether the software has been successful and if it helped law enforcement make any arrests. Thomas explained they have not made any arrests yet because they’ve only seen the proof of concept, but that the proof of concept was “good enough for us and our investigators to move forward with this. Once this gets approved and we get them [Massive Blue] under contract, then we are going to move forward with prosecution of cases.”

Cavanaugh asked if Overwatch is used in other counties, which prompted Thomas to invite Clem to the podium to speak. Clem introduced himself as a recently retired border agent and said that Massive Blue is currently in negotiations with three counties in Arizona, including Pinal County.

“As a resident of 14 years of Pinal County I know what’s happening here,” Clem said to the Board of Supervisors. “To be able [to] use this program [...] to provide all the necessary information to go after the online exploitation of children, trafficking victims, and all the other verticals that the sheriff may want to go after.”

Cavanaugh again asked if Massive Blue gathered any data that led to arrests.

“We have not made arrests yet, but there is a current investigation right now regarding arson, and we got the leads to the investigators,” Clem said, explaining that the program has been active for only about six months. “Investigations take time, but we’ve been able to generate the necessary leads for the particular counties that we’re involved with and also in the private sector.”

The Pinal County Board of Supervisors concluded the exchange by approving payment for a handful of other, unrelated projects, but with board members asking to delay the vote on payment for Massive Blue “for further study.”

The decision not to fund Massive Blue that day was covered in a local newspaper. Cavanaugh told the paper that he asked the company to meet with supervisors to explain the merits of the software.

“The State of Arizona has provided a grant, but grant money is taxpayer money. No matter the source of the funding, fighting human and sex trafficking is too important to risk half a million dollars on unproven technology,” he said. “If the company demonstrates that it can deliver evidence to arrest human traffickers, it may be worthwhile. However, it has yet to achieve this goal.”

404 Media’s public record requests yielded several emails from Cavanaugh’s office to IT professionals and other companies that provide AI products to law enforcement, asking them if they’re familiar with Massive Blue. We don’t know what was said in those meetings, or if they occurred, but when the Pinal County Board of Supervisors convened again on June 19 it voted to pay for Massive Blue’s Overwatch without further discussion.

“Supervisor [Cavanaugh] ultimately voted for the agreement because Massive Blue is alleged to be in pursuit of human trafficking, a noble goal,” a representative from Cavanaugh’s office told 404 Media in an email. “A major concern regarding the use of the application, is that the government should not be monitoring each and every citizen. To his knowledge, no arrests have been made to date as a result of the use of the application. If Overwatch is used to bring about arrests of human traffickers, then the program should continue. However, if it is just being used to collect surveillance on law-abiding citizens and is not leading to any arrests, then the program needs to be discontinued.”

In an August 7, 2024, Board of Supervisors meeting, Cavanaugh asked then-Pinal County Sheriff Mark Lamb for an update on Massive Blue. “So they have not produced any results? They’ve produced no leads? No evidence that is actionable?” Cavanaugh asked. “That would be public knowledge, that would be public information.”

“I think there’s a lot of ongoing investigations that they’re not going to give you information on, and we’re not going to give you information on,” Lamb said.

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