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Netflix Introduces “Play Something” Shuffle Feature
The new “Play Something” feature plays content based on your watch history, whether it’s something new, not yet finished, or just hanging around in your queue.
Do you sometimes turn on Netflix, only to find yourself unable to decide what you want to watch? You’re not the only one! Fortunately for you and all other indecisive viewers, the “Play Something” feature has just been officially announced by Cameron Johnson, Director of Product Innovation at Netflix.
“When you hit the ‘Play Something’ button, you’ll be instantly met with a series or film we know you’ll love based on what you’ve watched before,” writes Johnson in the official announcement.
If Netflix doesn’t get it right on the first try, you can simply click “Play Something Else” and get:
- Different series or film.
- Series or film you’re already watching.
- Series or film on your list.
- Unfinished series or film.
For now, the new feature is available only for smart TV, but testing for mobile devices is planned to start soon.
How To Use The “Play Something” Feature
- Launch the Netflix app on your smart TV.
- Select the “Press Something” button located:
- Underneath your profile name.
- In the tenth row on your Netflix homepage.
- In the navigation menu on the left of the screen.
- Press the “Play Something Else” button if you want another suggestion.
Netflix users who rely on screen readers will be pleased to know that the new feature fully supports Text-to-Speech (TTS).
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With the “Play Something” feature, Netflix becomes one step closer to the traditional cable experience, whose inherent element of surprise is both one of its biggest downsides and benefits.
Now that users can tell Netflix to pick something to watch for them, they are far more likely to discover hidden gems they might otherwise miss or become hooked on the company’s exclusive content. The latter is especially important for the streaming giant because exclusive content is what keeps subscribers subscribed.
News
Deezer Says AI Tracks Now Make Up 44% Of Uploads
The streamer says nearly 75,000 AI-made songs now hit its platform each day, even as those tracks account for just 1% to 3% of plays.
AI-generated music is becoming a real headache for music platforms, according to Deezer. The streaming service says it now receives nearly 75,000 AI-made tracks a day, equal to about 44% of all daily uploads to the platform.
The figure is up sharply from 10,000 daily AI uploads when Deezer launched its detection tool back in January 2025. The jump shows how quickly products such as Suno and Udio have made song creation cheap, fast, and easy to scale.
Despite the volume, Deezer says AI tracks still only account for 1% to 3% of total streams. The music gets few human listeners, but upload pressure is rising. The company says it is also seeing more “fraudulent” submissions.
Its response so far has been practical. Deezer has removed AI-generated songs from recommendation systems, demonetized them, and stopped storing high-resolution versions of those files.
The company also says it’s the only streaming platform currently tagging AI-generated tracks at scale, using that claim to position its moderation tools as a wider industry model.
“AI-generated music is now far from a marginal phenomenon and as daily deliveries keep increasing, we hope the whole music ecosystem will join us in taking action to help safeguard artist’s rights and promote transparency for fans,” CEO Alexis Lanternier said in a blog post.
Deezer has started licensing the detection technology to other companies, turning an internal control system into a commercial product. It says the tool can already identify music created with Suno and Udio, and can be extended to other generators if training data is available.
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The company is also working on detection methods that would not require training datasets, a harder technical step that could widen coverage as new music models appear.
Rivals are taking mixed approaches. Spotify has rolled out policies aimed at curbing AI music. Apple Music is asking artists and labels to disclose AI-made tracks. Qobuz has begun automated labeling, while Bandcamp has banned AI music outright.
For now, Deezer’s numbers suggest the real issue is not listener demand. It’s supply.
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