Hello and welcome to the Automated, your AI tour guide.

As many have already predicted, 2025 is shaping up to be the year of Agentic AIs.

Yesterday, we got a glimpse of Meta’s vision, and today, OpenAI is stepping up with a brand-new feature that will transform ChatGPT from just a chatbot into something more like your personal assistant.

Here’s what we have for you today:

ChatGPT is now one step closer to becoming your fully autonomous personal assistant!

If you’re a paying user (weather Plus, Team, or Pro), you now have access to “Tasks”, a brand new beta feature that lets you set reminders and recurring tasks.

How does it work? It’s ridiculously simple.

You can tell ChatGPT something like, “Remind me when my passport expires in six months,” or “Every Friday, plan my weekend based on the weather” and like an overachieving, super-organized calendar app, ChatGPT will send push notifications to keep you on track.

Even better, it’s smart enough to browse the web on a schedule, including checking monthly for concert tickets. Just don’t expect it to buy them for you.

To get started, simply select "4.0 with scheduled tasks" from the dropdown menu in ChatGPT, and then tell it what to do—whether it’s setting reminders, fetching info, or even suggesting new tasks based on your chats.

You can manage everything through a dedicated web tab, though mobile and voice commands aren’t available just yet.

But here's the bigger picture: Tasks isn’t just a convenience feature—it’s part of OpenAI’s larger vision to introduce AI agents that can act semi-independently to the mix.

Remember when CEO Sam Altman called 2025 the big year of AI agents and how it would likely “join the workforce”? Well, think of Tasks as the opening act to a much bigger show.

While still in its early stages, this feature offers a glimpse into the future, where ChatGPT evolves from a simple chatbot into a true digital assistant, capable of handling more complex tasks.

But before you go ditching your other reminder apps, keep in mind: Tasks is still in beta, so don’t be surprised if a few quirks (or even a missed deadline) pop up along the way.

Oh, and by the way, OpenAI isn’t stopping here—they’re reportedly working on even bigger projects, like “Operator”, a fully autonomous AI agent, and something intriguingly codenamed “Caterpillar”.

Could these projects someday handle everything from analyzing data to navigating websites? It’s possible.

But for now, Tasks is a handy experiment, not a flawless replacement for your brain, but definitely smarter than the typical reminder apps, kind of like Siri or Alexa with a little extra edge.

So, if you’re a paying ChatGPT user, go ahead and give Tasks a try. Just maybe hold off on using it for wedding reminders, critical meetings, or, you know, your taxes.

Instead, think of it as a sneak peek into the future of AI assistants, with a few training wheels still firmly in place.

Want to explore this new feature in more detail? Click here to see everything Tasks has to offer.

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Imagine asking an AI how many R’s are in “strawberry,” and halfway through its calculations, it starts thinking… in Chinese. Strange? Absolutely.

Welcome to the curious case of OpenAI’s new AI reasoning model, o1, which has been puzzling users by unexpectedly switching languages mid-thought.

When OpenAI unveiled its first reasoning model, o1, users were intrigued—until they noticed something odd.

Even when asked questions in English, o1 occasionally performed parts of its reasoning in other languages like Chinese or Persian.

One Redditor observed, “[o1] randomly started thinking in Chinese halfway through,” while another user on X exclaimed, “Why is it thinking in Chinese? No part of our conversation was in that language!”

So, what’s going on? Even the experts are scratching their heads.

Some suggest it could be linked to how o1 was trained. Models like this rely on massive datasets, many of which include Chinese characters and text.

Ted Xiao from Google DeepMind speculated that OpenAI and other labs use third-party data labeling services—often from China—for training high-level reasoning models.

This, he suggests, might explain a “Chinese linguistic influence” on o1’s reasoning.

Labels, essential for helping AI understand data, can sometimes skew outcomes. For example, biased labels have previously led to AI models that unfairly flagged certain dialects as toxic.

Could a similar bias be influencing o1’s multilingual musings? Not everyone is convinced, though.

Critics point out that o1 has also been spotted switching to Hindi, Thai, or other languages, suggesting the issue might be broader than just Chinese influence.

Matthew Guzdial, an AI researcher, theorized that o1 doesn’t see languages the way we do. “The model doesn’t know what language is; it’s all just text to it,” he explained.

AI processes information as tokens, breaking down text into words, syllables, or even individual letters. These tokens are tools for prediction, not cultural comprehension.

Another theory comes from Tiezhen Wang at Hugging Face. Wang speculates that o1 might be leaning on languages it associates with efficiency.

“I prefer doing math in Chinese because each digit is one syllable, making calculations crisp and efficient,” he wrote.

Could o1 be choosing languages based on what it “thinks” works best for the task?

Still, the mystery persists.

As Luca Soldaini from the Allen Institute for AI noted, “This type of observation is impossible to back up due to how opaque these models are. It highlights the need for more transparency in AI development.”

For now, the question of why o1 dreams in different tongues remains unanswered.

Until OpenAI sheds some light, we’re left wondering why synthetic biology is in Mandarin or songs in French.

Click here to dive deeper into the mysteries of o1.

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That's all we've got for you today.

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