The Journal

Suno & AI music, explained by people who use it daily.

We build Tha Mega Boy Band and teach AI:M Workshops on this stuff every week, so when something changes in Suno or the wider AI music world, here's our actual take — the good, the useful and the "read the fine print" moments.

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A person sitting alone at a laptop late at night, illustrating the Suno data breach story

Suno's data breach just exposed 55 million accounts — here's what to actually do about it

Security researcher Troy Hunt's Have I Been Pwned service confirmed a data dump tied to Suno affecting more than 55 million user accounts, made up mostly of email addresses, with phone numbers included for anyone who'd signed up that way.

If you've got a Suno account, treat this as your prompt to actually do something rather than scroll past it. Change your Suno password, especially if you've reused it anywhere else — most of us have. Turn on two-factor authentication if it's offered, and be sceptical of any "Suno support" email that lands in your inbox over the next few weeks, since breaches like this are usually followed by a wave of phishing attempts using the leaked addresses. We run our own catalogue through Suno, so we're taking our own advice here too.

Read the original report — The Register

The music industry just rolled out AI labels — and honestly, we're for it

Eight major music organisations, including the RIAA, IFPI, the Recording Academy and SAG-AFTRA, announced a voluntary labelling system for streaming tracks: "AI-Generated" for songs where generative AI created most of the core elements, and "AI-Assisted" for tracks where a human performed lead vocals or instruments with some AI help. Suno's response focused on the value of transparency and pointed to its existing investment in watermarking and audio fingerprinting.

As a studio putting out entirely AI-composed music through Tha Mega Boy Band, we don't see this as a threat — if anything it's the opposite. A clear label doesn't undercut the case for AI music, it strengthens it, because it removes the "wait, was a person actually involved?" question that follows every AI track around right now. If your process is genuinely collaborative, a label that says so is a good look, not a bad one.

Read the original report — Music Business Worldwide

Suno rebuilt its lyrics editor — and it fixes the thing everyone complained about

Suno shipped a redesigned lyrics editor with a dedicated Lyricist profile, natural-language editing (tell it what to change instead of hand-editing every line), rhyme and reference suggestions, and a distraction-free full-screen writing mode with autosave.

This one lands squarely on the workflow gap we talk about constantly in AI:M Workshops — Suno has always been brilliant at turning a prompt into a finished track, but the old lyrics box felt like an afterthought bolted onto a music tool. Autosave alone will save people a lot of lost verses. If you tried writing your own lyrics in Suno once, gave up because the editor felt clunky, and let the AI generate them for you ever since, this update is worth a second look.

Read the official release notes — Suno

Suno's new artist grant program comes with a catch: don't ever say anything bad about Suno

Suno launched Spark, an incubator offering independent artists project funding, grants, marketing support and mentorship. Buried in the terms is a non-disparagement clause that bars participants, at any time — including after the program ends — from making any statement that puts Suno, its staff or its products in a negative light, on penalty of being removed from the program.

We'd genuinely be excited about this if it stopped at the grants and mentorship — more funding pathways for independent artists using AI tools is exactly the kind of thing our AI:M Workshops audience should have access to. But a non-disparagement clause that outlives the program itself is a hard pass in our book, and it's the same advice we'd give anyone in our workshops: read the terms before you sign, especially the clause that keeps applying after you've left. Free money that costs you your right to say what you actually think isn't free.

Read the original report — Stereogum

Suno is now worth $5.4 billion, and users are making 7 million songs a day

Suno closed a $400 million round led by Menlo Ventures, pushing its valuation to $5.4 billion. At the time of the raise, users were generating more than 7 million songs a day, and the app had reached #1 in the App Store's Music category in dozens of countries.

Seven million songs a day is a genuinely wild number, and a solid reminder of how mainstream AI music creation has gone in a short window. We've been building on Suno since well before this raise, and the pace of improvement release to release backs that scale up. The open question is the right one, though: a huge valuation doesn't settle whether the user base converts into durable, venture-scale revenue, and the copyright litigation working through the courts is still hanging over all of it.

Read the original report — Fortune

Suno v5.5 landed with Voices — use your own vocals inside a generated track

Suno's v5.5 model launched with Voices, letting Pro and Premier subscribers capture and use their own singing voice inside generated tracks, with a verification step to confirm the voice is actually theirs. The release also added Custom Models trained on a subscriber's own catalogue, and My Taste, a personalisation feature available to everyone.

Voices is the update that made Suno feel less like "type a prompt, get a stranger's voice" and more like an actual instrument. For anyone building a real body of work — which is most of what we teach in AI:M Workshops — having a consistent voice across releases matters more than people expect going in. It's the difference between a one-off novelty track and something that sounds like an artist. If you tried Suno early and bounced off the generic vocals, this is the update that changes that.

Read the official announcement — Suno
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