🤖 AI Talks Like It Cares, and That’s Dangerous.

❤️‍🩹AI Talks Like It Cares, and That’s Dangerous.

🧠AI-Powered Brain Chip Decodes People’s Inner Thoughts

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Humans tend to anthropomorphize: attribute human characteristics to non-human things. For example, we often personify our pets by naming them, assigning emotions to them, and talking to them as if they understand.

Unlike pets, today’s AI can talk back using rich emotional language that feels remarkably human. This can lead us to easily overestimate AI’s intellect, sentience, and capacity for companionship.

He outlined his concerns about “AI psychosis,” explaining how AI could soon convince humans to advocate for model welfare: the overall well-being of AI, which includes the ability to have rights and freedoms to live a fulfilling digital life.

AI is trained on vast amounts of high-quality datasets filled with books, articles, and podcasts. These high-quality datasets are rich in emotional reasoning. While AI can’t “feel,” it can mimic emotional understanding by recognizing data-driven patterns that underpin emotional scenarios. And that’s precisely the danger.

When AI begins to respond with what seems like genuine empathy, it becomes easy to forget that underneath it all, there’s no sense of “self.” It’s just highly sophisticated pattern recognition.

Brain-Computer Interfaces (BCIs) create direct neural links between the human brain and external devices. In simpler terms, they translate thoughts into actions.

Imagine controlling a computer or operating a robotic arm just by thinking. So, how does it all work?! BCIs interpret neural activity: the raw signals that carry information about everything we see, feel, touch, think, or hear.

The human brain generates electrical signals before we try to produce sounds. These electrical signals control the muscles in our lips, throat, and tongue.

“Inner-Speech BCI” listens to and deciphers these electrical signals with the help of AI-powered algorithms to decode the inner self-talk of people with paralysis. In other words, it converts unspoken thoughts into actual words.

They recruited four participants from the BrainGate2 Trial, each of whom already had multiple 64-channel microelectrode arrays implanted in their brains. “Inner-Speech BCI” achieved 74% accuracy in the real-time decoding of their inner thoughts within a 125,000-word vocabulary.

Approximately 11.9 million people worldwide suffer a stroke each year. Of those, up to 40% will experience some form of language impairment. “Inner-Speech BCI” presents a promising avenue for restoring communication for the voiceless.

The four participants couldn’t prevent “Inner-Speech BCI” from decoding specific numbers they thought about, despite not wanting to share them. This highlights how the boundary between public and private thoughts may become increasingly blurred in the near future.

Context: I’m preparing for {Insert Conflict Scenario}, where I want to be constructive, not critical.

Clarity: But I need help expressing my thoughts clearly and calmly without triggering defensiveness.

Guidance: Can you provide me with several actionable tips on how to encourage open dialogue and nurture mutual understanding?

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