While they're not ready to read your mind, word for word, they can read your emotions and some formed pictographs in the brain. Sort of. Although, deep underground in some unnamed base, with unnamed scientists, using unnamed tech, I'm fairly sure that they CAN read your mind.

Anyone ready for the 'precrime' unit?

~NightSky

By Frank Landymore
Published Nov 8, 2025

We’re racing towards a future in which devices will be able to read our thoughts.

You see signs of it everywhere, from brain-computer interfaces to algorithms that detect emotions from facial scans. And though the tech remains imperfect, it’s getting closer all the time: now a team of scientists say they’ve developed a model that can generate descriptions of what people’s brains are seeing by simply analyzing a scan of their brain activity.

They’re calling the technique “mind captioning,” and it may represent an effective way for transcribing what someone’s thinking, with impressively comprehensive and accurate results.

“This is hard to do,” Alex Huth, coauthor of a new study in the journal Science Advances, and a computational neuroscientist at the University of California, Berkeley, told Nature. “It’s surprising you can get that much detail.”
https://www.science.org/doi/10.1126/sciadv.adw1464

The implications of such technology are a double-edged sword: on the one hand, it could give a voice to people who struggle speaking due to stroke, aphasia, and other medical difficulties, but on the other hand, it may threaten our mental privacy in an age when many other facets of our lives are surveilled and codified. But the team stress the model can’t decode your private thoughts. “Nobody has shown you can do that, yet,” Huth added.

While it sounds like an elaborate chain of guessing games, the results were remarkably descriptive and mostly on the money. According to Nature, by analyzing the brain activity of a participant who watched a video of someone jumping from the top of a waterfall, the AI model initially predicted the string “spring flow,” refined that into “above rapid falling water fall” on the tenth guess, and finally landed on “a person jumps over a deep water fall on a mountain ridge” on the 100th guess.

Overall, the generated text descriptions achieved a 50 percent accuracy in identifying the correct video out of 100 possibilities. That’s significantly higher than random chance, which would be around one percent, and impressive in the context of essentially divining coherent thoughts out of brain patterns.

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https://futurism.com/health-medicine/scientists-transcribe-thoughts-mri-scan