Technologies

Gen AI Chatbots Are Starting to Remember You. Should You Let Them?

An AI model’s long memory can offer a better experience — or a worse one. Good thing you can turn it off.

Until recently, generative AI chatbots didn’t have the best memories: You tell it something and, when you come back later, you start again with a blank slate. Not anymore.

OpenAI started testing a stronger memory in ChatGPT last year and rolled out improvements this month. Grok, the flagship tool of Elon Musk’s xAI, also just got a better memory.

It took significant improvements in math and technology to get here but the real-world benefits seem pretty simple: You can get more consistent and personalized results without having to repeat yourself.

«If it’s able to incorporate every chat I’ve had before, it does not need me to provide all that information the next time,» said Shashank Srivastava, assistant professor of computer science at the University of North Carolina at Chapel Hill.

Those longer memories can help with solving some frustrations with chatbots but they also pose some new challenges. As with when you talk to a person, what you said yesterday might influence your interactions today.

Here’s a look at how the bots came to have better memories and what it means for you.

Improving an AI model’s memory

For starters, it isn’t quite a «memory.» Mostly, these tools work by incorporating past conversations alongside your latest query. «In effect, it’s as simple as if you just took all your past conversations and combined them into one large prompt,» said Aditya Grover, assistant professor of computer science at UCLA.

Those large prompts are now possible because the latest AI models have significantly larger «context windows» than their predecessors. The context window is, essentially, how much text a model can consider at once, measured in tokens. A token might be a word or part of a word (OpenAI offers one token as three-quarters of a word as a rule of thumb).

Early large language models had context windows of 4,000 or 8,000 tokens — a few thousand words. A few years ago, if you asked ChatGPT something, it could consider roughly as much text as is in this recent CNET cover story on smart thermostats. Google’s Gemini 2.0 Flash now has a context window of a million tokens. That’s a bit longer than Leo Tolstoy’s epic novel War and Peace. Those improvements are driven by some technical advances in how LLMs work, creating faster ways to generate connections between words, Srivastava said.

Other techniques can also boost a model’s memory and ability to answer a question. One is retrieval-augmented generation, in which the model can run a search or otherwise pull up documents as needed to answer a question, without always keeping all of that information in the context window. Instead of having a massive amount of information available at all times, it just needs to know how to find the right resource, like a researcher perusing a library’s card catalog.

Read more: AI Essentials: 27 Ways to Make Gen AI Work for You, According to Our Experts

Why context matters for a chatbot

The more an LLM knows about you from its past interactions with you, the better suited to your needs its answers will be. That’s the goal of having a chatbot that can remember your old conversations.

For example, if you ask an LLM with no memory of you what the weather is, it’ll probably follow up first by asking where you are. One that can remember past conversations, however, might know that you often ask it for advice about restaurants or other things in San Francisco, for example, and assume that’s your location. «It’s more user-friendly if the system knows more about you,» Grover said.

A chatbot with a longer memory can provide you with more specific answers. If you ask it to suggest a gift for a family member’s birthday and tell it some details about that family member, it won’t need as much context when you ask again next year. «That would mean smoother conversations because you don’t need to repeat yourself,» Srivatsava said.

A long memory, however, can have its downsides.

You can (and maybe should) tell AI to forget

Having a chatbot recommend a gift poses a conundrum that’s all too common in human memories: You told your aunt you liked airplanes when you were 12 years old, and decades later you still get airplane-themed gifts from her. An LLM that remembers things about you could bias itself too much toward something you told it before.

«There’s definitely that possibility that you can lose your control and that this personalization could haunt you,» Srivastava said. «Instead of getting an unbiased, fresh perspective, its judgment might always be colored by previous interactions.»

LLMs typically allow you to tell them to forget certain things or to exclude some conversations from their memory.

You may also deal with things you don’t want an AI model to remember. If you have private or sensitive information you’re communicating with an LLM (and you should think twice about doing so at all), you probably want to turn off the memory function for those interactions.

Read the guidance on the tool you’re using to be sure you know what it’s remembering, how to turn it on and off and how to delete items from its memory.

Grover said this is an area where gen AI developers should be transparent and offer clear commands in the user interface. «I think they need to be providing more controls that are visible to the user, when to turn it on, when to turn it off,» he said. «Give a sense of urgency for the user base so they don’t get locked into defaults that are hard to find.»

How to turn off gen AI memory features

Here’s how to manage memory features in some common gen AI tools.

ChatGPT

OpenAI has a couple types of memory in its models. One is called «reference saved memories» and it stores details that you specifically ask ChatGPT to save, like your name or dietary preferences. Another, «reference chat history,» remembers information from past conversations (but not everything).

To turn off either of these features, you can go to Settings and Personalization and toggle the items off.

You can ask ChatGPT what it remembers about you and ask it to forget something it has remembered. To completely delete this information, you can delete the saved memories in Settings and the chat where you saved that information.

Gemini

Google’s Gemini model can remember things you’ve discussed or summarize past conversations.

To modify or delete these memories, or to turn off the feature entirely, you can go into your Gemini Apps Activity menu.

Grok

Elon Musk’s xAI announced memory features in Grok this month and they’re turned on by default.

You can turn them off under Settings and Data Controls. The specific setting is different between Grok.com, where it’s «Personalize Grok with your conversation history,» and on the Android and iOS apps, where it’s «Personalize with memories.»

Technologies

Apple Needs to Launch Its Foldable iPhone Flip in 2026. Here’s Why

Commentary: Foldables are everywhere now and Apple is the only major phone-maker without one.

I love Apple’s flagship cosmic orange iPhone 17 Pro — even when I managed to turn mine pink — but I was disappointed not to see the company’s long-rumored foldable iPhone Flip. Pretty much every major Android phone-maker, including Samsung, Google, Motorola, OnePlus, Xiaomi and Honor are now multiple generations into their own folding phone lineups, with the hardware continuing to become more and more refined with each revision. Oppo is now in its fifth year of foldables and its latest Find N6 is the result of those years of development. Apple isn’t even at step one yet and it’s beginning to feel like it’s late to the party. That might be a problem.

Apple dominates in the premium phone category, but foldables — which fit into the premium space in terms of price — are already nipping at its heels, with Motorola telling CNET that 20% of customers buying its Razr foldable jumped ship from Apple. Meanwhile, Samsung is in the seventh generation of its Flip and Fold series. As Lisa Eadicicco discovered during a visit to Seoul, «foldables are everywhere» in Samsung’s home country of South Korea.

With nearly every major Android phone-maker entering the foldable market, Apple risks losing potential customers. It also runs the risk of letting a rival like Samsung or Motorola becoming the go-to name for foldables, which could make it harder for Apple to make an impact if it eventually launches its own device. Furthermore, early adopters drawn to foldable tech may be too entrenched in the Android ecosystem by the time Apple’s phone arrives to want to switch to iOS.

Apple is unlikely to be worried. It’s estimated that around 20 million foldables from all manufacturers were sold worldwide in 2023, while Apple reportedly sold 26.5 million iPhone 14 Pro Max handsets in the first half of that year alone. In 2024, foldable sales were flat — and 2025 didn’t fare much better, according to analysts at CounterPoint Research, although Samsung did report record numbers of preorders for its most recent foldable. Clearly, Apple feels it has yet to miss the boat.

Apple has always found success in biding its time, observing the industry and launching its own take on a product when it’s ready. Apple didn’t invent phones, tablets, smartwatches or computers, but it found ways to take existing products and make them more useful, more valuable in day-to-day life and — dare I say — more exciting. It’s why the iPhone, iPad, Apple Watch and Mac lines dominate the market today.

For me, I need to see Apple’s take on the foldable phone. I’ve written before about how disappointed I am in foldables. I’ve been a mobile reporter for over 14 years and phones have become increasingly dull as they’ve converged to become slight variations on the same rectangular slab.

Read more: Best Flip Phone for 2026

Foldables promised something new, something innovative, something that briefly sparked some excitement in me, but years in, that excitement has dwindled to the point of being extinguished. They are fine products and while I like the novelty of a screen that bends, they’re not a revolution in how we interact with our phones. Not in the way that the arrival of the touchscreen was when we were still pushing buttons to type out texts.

I did hope that Google’s Pixel Fold would be the phone to catapult the foldable forward, and while the recent Pixel 10 Pro Fold — the second generation of Google’s foldable — does offer some great updates, it still doesn’t offer any kind of revolution. Instead, it feels more like a «me too» move from Google. Ditto for the OnePlus Open. So I’m left instead to look toward Apple, a company with a track record for product revolutions, to create a new take on the genre that genuinely drives forward how we use our phones.

That innovation won’t just come from the product design. Apple works closely with its third-party software developers, and it’s that input that would help a folding iPhone become genuinely useful. My biggest complaint around foldables right now is that while the hardware is decent, the devices are essentially just running standard versions of Android with a handful of UI tweaks thrown in. They’re just regular phones that just happen to bend.

Few Android developers are embracing the folding format, and it’s not difficult to see why; the users aren’t there in sufficient numbers yet to justify the time and expense to adapt their software across a variety of screen sizes. The multiple folding formats already available mean Android foldables face the same fragmentation issue that has plagued the platform since the beginning. Android-based foldables are simply a more difficult platform for developers to build for than regular phones. Apple would be able to change that, as it proved with the iPhone and iPad.

Given Apple’s close relationships with top-tier developers — not to mention its own vast developer team — I expect an eventual Apple foldable to offer innovations that make it more than just an iPhone that folds in half.

And I truly hope it does. I want to look forward to tech launches again. I want to feel excited to get a new gadget in my hands and feel that «wow» moment as I do something transformative for the first time.

In short, I don’t want to be bored by technology anymore. Apple, it’s over to you.

I Took 600+ Photos With the iPhone 15 Pro and Pro Max. Look at My Favorites

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Technologies

Verum Messenger Goes Desktop: Launches macOS Version as Part of Expanding Digital Ecosystem

The team behind Verum Messenger has announced a new update, introducing a full-featured macOS version of the application.

The launch of the Mac version marks a significant step in the platform’s development, enabling users to access Verum Messenger not only on mobile devices but also on desktop environments.

The macOS version ensures seamless synchronization across devices while maintaining the platform’s core principles: security, stability, and independence.

Unified Digital Experience

With the release of the macOS version, users can now:

— communicate on a larger screen
— manage chats and files more efficiently
— use the messenger in a full desktop environment
— access core features without limitations

This is particularly valuable for users who rely on messaging platforms for both communication and professional use.

Expanding Capabilities

Verum Messenger continues to evolve into a multifunctional platform combining:

— secure communication
— financial tools (Verum Finance)
— digital asset operations, including Tether
— investment features such as Verum Gold

Toward a Full Ecosystem

The macOS release reflects Verum Messenger’s strategy to become a universal digital platform available across all major devices.

According to the team, the goal is to provide users with continuous access to communication and financial services regardless of device or environment.

Verum Messenger continues to build technologies focused on security, usability, and global accessibility.

Technologies

Google, Meta and Amazon Join Global Pact to Fight Rising Online Scams

The companies will share fraud intelligence and coordinate responses as AI makes scams faster, cheaper and harder to detect.

Modern online scams operate across multiple platforms, perhaps spanning social media, messaging apps, email and online marketplaces. Google, Meta and Amazon are among 11 tech, retail and payments companies that have signed a new agreement to combat online scams by sharing threat intelligence across platforms, Axios first reported Monday.

The initiative, called the Industry Accord Against Online Scams & Fraud, is designed to improve how companies detect and respond to fraud that spans multiple services. Participants say they will exchange signals, such as scam-linked accounts and fraudulent domains, and coordinate enforcement actions.

By sharing intelligence in near real time, companies hope to identify these scams earlier and stop them before they spread.

The effort reflects how modern scams operate. A victim might encounter a fake celebrity investment ad on social media, move to a messaging app where the scammer builds trust, then faces prompts to send money through a fraudulent website, payment app or crypto wallet — spanning multiple companies’ ecosystems.

Google said it now blocks hundreds of millions of scam-related results every day using AI, underscoring how both attackers and defenders are increasingly relying on the same technology. Meta removed more than 159 million scam ads in 2025 and is expanding AI tools to detect impersonation and warn users.

Online scams are growing rapidly, in part because generative AI has lowered the barrier to entry. AI can be used not only to produce realistic phishing emails but also to clone voices and deepfake videos that impersonate executives, public figures and even family members.

The agreement is voluntary and doesn’t create new legal obligations, but it comes after regulators’ increased pressure on tech platforms to address fraud more aggressively. The companies say they will begin building frameworks for reporting and intelligence-sharing, though it’s not yet clear how quickly those systems will be deployed or how effective they will be in practice.