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Meta’s Twitter Competitor, Threads, Is Available Today
The new platform uses your Instagram login and allows 500-character text posts, as well as photos, videos, and links.
Threads, the Twitter competitor created by Facebook and Instagram parent company, Meta, has finally launched after months of rumors and leaks. The platform can be accessed from a desktop site at Threads.net or via iOS and Android apps.
Threads allows users to create Twitter-style text posts of up to 500 characters plus share photos and videos of up to five minutes as well as links. The app looks much like Twitter, including a minimal interface with options to like, comment, repost, and share content. Because Threads is closely linked to Instagram, users can log in with their existing credentials and easily follow the same people from that platform.
The main feed on Threads features recommended content and posts from followed profiles, while a filter system allows users to block out certain words and limit who can reply to their threads.
Meta has decided not to add Threads support for ActivityPub right now. The decentralized social networking protocol — used by Mastodon and others — would allow the transfer of information from Threads to other hosts, among other functions.
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“We believe this decentralized approach, similar to the protocols governing email and the web itself, will play an important role in the future of online platforms,” Meta explained. “Threads is Meta’s first app envisioned to be compatible with an open social networking protocol — we hope that by joining this fast-growing ecosystem of interoperable services, Threads will help people find their community, no matter what app they use”.
The launch of Threads comes as Twitter users experience yet more drama. Elon Musk recently imposed a temporary rate limit for unverified users, limiting them to 600 daily post views. At one point, Twitter also blocked logged-out users from viewing tweets entirely before subtly reversing the decision shortly afterwards.
As for Threads, the app is available in over 100 countries — including the United Arab Emirates, Jordan, Lebanon, and Saudi Arabia — and has already been downloaded over 5 million times. Notably, the platform won’t be available in the European Union due to the complexities of complying with the region’s strict data protection regulations.
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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