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I’ve spent months monitoring AI personalities like Twitch streamer Neuro-sama and it seems like acceptance — however I believe we’re studying it incorrect

greater by greater
February 17, 2026
Reading Time: 7 mins read
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I’ve spent months monitoring AI personalities like Twitch streamer Neuro-sama and it seems like acceptance — however I believe we’re studying it incorrect


Neuro-sama is essentially the most subscribed-to person on streaming platform Twitch, the place folks broadcast themselves gaming, speaking, creating, or simply hanging out whereas audiences watch, remark, and work together stay. However Neuro-sama isn’t an individual. It’s an AI-powered character, able to producing real-time commentary, responding to speak, and pulling in critical viewing numbers.

We’re seeing many extra AI-generated personalities like this on-line. The definitions are fuzzy as a result of they aren’t all doing the identical factor, and audiences aren’t responding to them for a similar causes. For simplicity’s sake, let’s name them AI characters.

They’re not all alike. Below that umbrella sit AI influencers like Lil Miquela, with tens of millions of Instagram followers and model offers, and even Tilly Norwood, an AI-generated “actor” whose creator has prompt she could quickly signal with a expertise company. There’s additionally a rising gray zone of hybrids: half chatbot, half character, half model experiment.


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At first look, the eye these AI characters entice, the followers, likes and dialog, appears like a transparent sign that audiences are embracing them. However I believe that studying is just too neat.

After almost a 12 months overlaying AI, I’m sceptical of the concept that curiosity in AI characters routinely means all of us settle for them. Based mostly on my reporting, interviews, and time spent watching how folks really work together with these techniques, I believe one thing else is happening.

Novelty and the ‘new toy’ impact

Most new applied sciences undergo a type of spectacle part. Suppose daring demos, spectacular firsts and “wow” moments. AI characters aren’t any exception, significantly those who look and behave in convincingly human methods.

Which is why I imagine a giant a part of what’s occurring right here is just novelty. Many individuals aren’t dedicated AI lovers or hardened sceptics. They’re merely curious. Engagement spikes when folks encounter one thing new, then drops as soon as it turns into acquainted.

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That’s why AI streamers could perform much less like entertainers folks spend money on, and extra like experiments folks peek at. Neuro-sama is an effective instance. It isn’t only a generic chatbot dropped onto Twitch. It’s a fastidiously developed, idiosyncratic character constructed over years by its creator, vedal987. As TechRadar’s Eric Hal Schwartz famous once we coated Neuro-sama earlier this 12 months: “Neuro‑sama is the product of years of growth. It is a particular, idiosyncratic character. A generic chatbot on Twitch wouldn’t have any means of replicating that success.”

That stage of craft makes it attention-grabbing. It’s novel, technically spectacular, and weird sufficient to attract consideration, even from individuals who have little interest in changing human streamers with AI ones.

However novelty is simply a part of the story. Some viewers tune into AI character chats or comply with AI influencers to identify the cracks, see the slightly-off responses, unusual pacing, and moments the place the phantasm slips.


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This echoes what roboticist Masahiro Mori described because the uncanny valley: when one thing is sort of human however not fairly, it attracts consideration exactly as a result of it feels incorrect.

Many AI characters sit in that center zone. They behave human-like sufficient to intrigue us, however not convincingly sufficient to maintain emotional funding. As soon as the trick is known – sure, it will possibly chat; sure, it will possibly stream; sure, it appears lifelike – there’s little left to find. And as extra AI characters enter the identical areas, that sense of novelty or that morbid curiosity is prone to fade even quicker.

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Fashionable Vtubers. (Picture credit score: YouTube / Twitch / Nina Amaki / Gawr Gura / Kuzuha / Netflix / Kageyama Shien)

Why people nonetheless maintain the sting

Excessive view counts make for good headlines, however they’re a poor indication of long-term curiosity. That’s as a result of we all know folks click on on uncommon issues, algorithms amplify novelty and metrics routinely confuse curiosity with one thing deeper. It’s why you might need preferred one racoon video one time after which all you’re proven for every week is racoon movies.

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