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A New Year In AI
Your Weekly AI Digest. 4-01-25
Hello community member,
Welcome to 2025, Thank you for sticking with us. This newsletter exists because you keep coming back to each edition to see what we have for you. This year, we promise to keep feeding you with the best stories in AI and that starts today - So, grab a seat, sit back, and indulge. It’s time to savor the excitement of what the AI world has served up this week!
Here's your curated dose of the most significant events in the AI ecosystem this week:
Telegram introduces third-party account verification, filters
Meta plans to introduce AI bots to its Apps
Hugging Face launches lightweight agent framework
AgiBot releases powerful dataset to help train robots faster
Telegram’s starting the year strong with some exciting new updates. First up, they’ve introduced a fresh way to verify accounts. While they’ve already had a system for public figures and organizations, now third-party authorities—like food safety regulators or educational groups—can verify accounts too. Instead of the usual blue checkmark, these verified accounts will get a unique logo. The goal? To fight scams and misinformation by adding another layer of trust. If you or your organization wants to get verified, there’s a process to follow, and once you’re verified, you can even validate other accounts tied to your organization, with your logo displayed on their profiles. You can now turn gifts into NFTs with custom icons and backgrounds. You buy these with Telegram Stars, and if you’re into trading, you can even sell them on other platforms. Just keep in mind, there’s a small fee for the blockchain transactions.
Meta is planning to add AI-generated characters to Facebook and Instagram. These are not just bots, they will have profiles, bios, and even post content, just like regular users. So picture scrolling through your feed and seeing a post from an AI character. The motive behind this innovation is that Meta have spent a lot on AI technology and are finding ways to integrate it into their platforms. Also, they are looking to attract younger users and stay ahead of competitors. They have even bought a platform called SocialAI, where bots interact as different characters. The interesting part is that Meta has spent years fighting fake profiles, and now they are introducing their own AI personas. Whether these bots make social media more engaging or blur the lines between real and artificial interactions is something we will have to watch closely.mpanies, like Aurora Innovation, which works on self-driving cars, and Niantic, the folks behind Pokémon Go. Uber’s already recruiting in places like the U.S., Canada, and India.
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Hugging Face is working on something very interesting and it’s called the SmolAgents. It is a lightweight toolkit designed to make creating AI agents straightforward and practical. SmolAgents uses Hugging Face’s pretrained models to handle tasks like summarizing data, fetching information, or even writing and running code. You don’t need to be a tech expert to use it. It’s simple, efficient, and adapts to whatever project you are working on—whether it’s quick experiments or full-scale solutions. For example, one developer used SmolAgents to pull real-time stock trends and generate a Python script to visualize the data. All of that was done in seconds. If you have ever thought AI development was out of reach, this might be the push you need
AgiBot, a top AI and robotics company in China, just released a huge dataset called AgiBot World Alpha. This dataset is open to researchers and includes data from over 100 robots working in real-world settings. The idea is simple, make training humanoid robots easier and faster by giving them high-quality, real-world data to learn from. Teaching robots to do complex tasks, like using tools or working together with other robots, has always been a challenge. Most training happens in controlled environments, which doesn’t reflect real-world scenarios. AgiBot World Alpha changes that by offering over a million data points to help robots learn better. If you’re a researcher, you can access this dataset on GitHub or Hugging Face.
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