Have you ever had that feeling that someone might be listening to your phone calls? It’s a creepy thought, right? Well, for inmates in some US prisons, it’s not just a feeling—it’s becoming a reality, and it's powered by AI.
A US telecom company called Securus Technologies has built an AI model trained on years of recorded phone and video calls from inmates. And now, they're starting to use it to scan calls, texts, and emails in real-time, all in the name of predicting and preventing crimes.
It’s a wild concept, and it immediately brings up a ton of questions. Let’s get into what’s happening here, along with some of the other major tech stories that are flying under the radar.
So, an AI is Now Listening to Prison Phone Calls?
Yep, you read that right. Securus, a company that provides communication services to correctional facilities, confirmed they started building these AI tools in 2023. To give you an idea of the scale, one of their models was trained on seven years of calls just from the Texas prison system alone. Now, they're working on models for other states and counties.
From the company's perspective, the goal is public safety. They believe the AI can flag conversations about planned criminal activity, potentially stopping it before it happens.
But here’s the thing that makes this so complicated: prisoner rights advocates are sounding the alarm, and for good reason. They argue this is a massive step up in invasive surveillance. Think about it—it’s one thing for a human to review a call based on a specific suspicion. It’s another thing entirely for an AI to constantly scan every single word, text, and email, looking for patterns. The courts haven’t really set clear limits on this kind of power yet, which leaves a lot of room for potential overreach. It's a classic tech dilemma: a tool built for security that walks a very fine line with privacy and civil liberties.
And That's Just the Tip of the Iceberg...
That story alone is a lot to chew on, but the tech world never sleeps. Here’s a quick rundown of some other fascinating, and sometimes concerning, things that happened recently.
Big Tech, Big Brother, and Your Data
It feels like our data is always in the spotlight, and this week is no exception.
- New York Puts a Stop to Sneaky Pricing: You know how you sometimes suspect the price of a flight or a product changes based on who’s looking? Well, you’re not crazy. A new law in New York is forcing retailers to come clean if they use your personal data to set personalized prices. Naturally, the National Retail Federation wasn't thrilled and tried to block it, but the law passed. It's a small but significant win for transparency.
- Police Body Cam Footage Goes Viral: This one is just… weird. Police body cam footage, which was intended for accountability, has become a source of viral content on YouTube. People who have been arrested are now living with the fear that one of their worst moments could end up as entertainment for millions. It’s a strange and unsettling side effect of a technology that was supposed to make things better.
The Global AI Race Heats Up
Everyone’s talking about AI, but the conversation is getting more complex every day.
- American Startups Are Loving Chinese AI: Here’s an interesting twist in the US-China tech rivalry. American startups are increasingly using open-source AI models from China. Why? They’re cheap, they’re powerful, and you can customize them easily. It just goes to show that when it comes to getting a business off the ground, practicality often wins out over politics.
- Disney’s New Animation Shortcut: Remember when animated movies took years to make? Disney is experimenting with an AI animation accelerator that is dramatically speeding things up. They say a process that used to take five months can now be done in under five weeks. Even James Cameron, who famously warned us about Skynet, seems to be warming up to AI's creative potential.
- Is Your AI Companion a Character in a Novel? One startup is taking a unique approach to making AI companions feel more real. Instead of just programming a chatbot, they’re treating their AIs like characters in a book, with backstories and personalities. It’s a fascinating idea—could this be the key to making our interactions with AI feel less… robotic?
Know Someone Changing the World?
Speaking of all these incredible (and sometimes scary) innovations, it’s the people behind them that really matter.
On that note, MIT Technology Review has officially opened nominations for its 2026 "Innovators Under 35" list. This is a huge deal—for over two decades, they've been recognizing the brightest young scientists and inventors on the planet.
If you know someone under 35 who is doing groundbreaking work, you should absolutely nominate them. It’s free, only takes a few minutes, and it’s a fantastic way to shine a spotlight on the people who are genuinely building the future. You can even nominate yourself!
A Few More Things Before You Go...
Before we wrap up, here are a couple of other stories that caught my eye.
First, a quote from actress Jenna Ortega that really stuck with me. When asked about AI in filmmaking, she said she hopes it "comes to a point where it becomes sort of mental junk food and we feel sick and we don’t know why." It’s a sharp, insightful take on the potential downside of AI-generated content—that it could become so prevalent and unsatisfying that it just leaves us feeling empty.
And finally, here’s a story that has nothing to do with code but everything to do with a similar kind of existential threat. You’ve heard of antibiotic-resistant bacteria, right? Well, agriculture is facing its own version of that problem with herbicide-resistant weeds.
Basically, since the 1980s, we’ve been spraying weeds with the same chemicals, and they’ve been slowly evolving to survive. Weeds have now developed resistance to 168 different herbicides. This is a massive threat to our food supply. Out-of-control weeds can slash crop yields by 50% or more, and in some cases, wipe out entire fields. It’s a slow-moving crisis that forces us to rethink how we approach agriculture, pushing for more diversity in how we control weeds instead of relying on a single chemical fix.
It’s a powerful reminder that complex problems, whether in a farm field or in a line of code, rarely have simple solutions. We have to keep adapting, just like everything else around us.
