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Suno’s upgraded AI music generator is technically impressive, but still soulless
Product Reviews

Suno’s upgraded AI music generator is technically impressive, but still soulless

by admin September 26, 2025


When it’s not trying to fend off lawsuits from major record labels, Suno is still working on refining its AI music creation tool. The latest model, Suno v5, is an obvious technical improvement over its previous version, v4.5+. But it still can’t seem to escape the bland emptiness that pervades most AI art.

There are some across-the-board upgrades in audio quality that are undeniable, like fewer artifacts and clearer separation between instruments. Some tracks produced using v4.5+ can smush all the melodic parts together in a way where the lines between guitar, bass, and synth are muddy at best. But with v5, the mixes are much cleaner.

During a demo, Henry Phipps, a Suno product manager, pointed to a song we had the model generate that included a flute-like synth with what sounded like a ping-pong delay effect on it: “I’ve never heard that before in previous models… what that says to me is that the model understands that this is an isolated sound that’s being affected and needs to be reproduced faithfully in different parts of the stereo field.” Since Suno isn’t actually applying effects in the traditional sense, this means the model is identifying a particular instrument and approximating the sound of a stereo delay because it’s decided that is what it should sound like.

There are no edges to any of the Suno vocals. Everything is bathed in reverb, layered with harmonies, and perfectly on pitch. Even if you explicitly tell it not to do these things, the model just ignores you.

Suno also claims that v5 has a better understanding of genre, though that claim seems questionable from my testing. With some of my prompts like “modern avant R&B with glitchy, but funky drums, atmospheric melodic parts, and breathy vocals,” neither v5 or v4.5+ seemed to be the clear winner in delivering what I had in mind (mostly Kelela’s Take Me Apart). They both got close, giving me downtempo tracks with some moody synths, but they lacked the weirdness I was hoping for.

Neither could Suno quite figure out what I was looking for with “early ‘90s lo-fi indie rock recorded on a 4-track cassette recorder with off key vocals and slightly out of tune guitars” either, but v5 was definitely more off target. Despite everything I tried, I could not get Suno to spit out anything that sounded even remotely like Pavement. The loose slacker noise pop I associate with Slanted and Enchanted was nowhere to be found. Instead, I got bombastic “indie” rock with chunky riffs and clean driving power chords. Suno v5 kept serving up songs that sounded more like Arctic Monkeys than anything released before the turn of the century.

Similarly, in my testing, v5 seemed to struggle with era- or decade-specific prompts at times. When I asked for “late 1970s krautrock,” v4.5+ basically nails it outside of the vocals (more on that later). But v5 often delivers ‘80s-tinged synthpop and tracks that are distinctly more modern sounding, even if they have some of that classic krautrock DNA.

What I will say is that the arrangements that Suno’s v5 model creates are much more complex. Compared to v4.5+, there are more one-off musical flourishes that keep things from getting too repetitive and more varied song structures. Where v4.5+ is usually content to stick with a basic verse-chorus-verse structure (with a bridge tacked on for good measure), v5 would often have pre- or post- chorus sections, multiple bridges or breakdowns, and generally build over the course of a track offering more of an arc than just distinct sections.

It also occasionally delivered interesting results when remixing existing tracks. I uploaded a song from an EP I released a few years back (which probably should have tripped its copyright filter) and look, I’m not going to lie, I kind of liked the way it transcribed parts of my guitar solo into a recurring synth motif and turned my big chord pads into driving arpeggios.

But what was missing in all of these covers of my song that I asked Suno to create was the raw, lo-fi nature of the track that I recorded in my living room at 3AM about six years ago. And that’s kind of a running theme here. While Suno can mimic some of the superficial features of an old recording or a human performance like tape hiss or breaths, it always feels inauthentic.

Phipps admits that he hasn’t heard the vocal model recreate the unique imperfections of a real human performance. In its early messaging about v5, Suno touted its “emotionally rich vocals” and “human-like emotional depth,” but that phrasing is now absent from any public-facing materials. Instead, the company has now chosen to describe the vocals as “natural, authentic,” chalking the change up to a “stylistic choice.”

But even that feels like a stretch. While, yes, compared to v4.5+ the vocals feel more human, they’re still stiff. Phipps explained that “when we perceive a vocal out of Suno [v4.5] to be emotionally flat, I think it’s because it’s just missing some detail that gives it that edge,” and that the higher fidelity of the v5 model delivers that detail.

It’s hard to argue with the technical aspects of that claim — vocal performances are more detailed — but they’re still all painfully generic. Every rock vocal ends up sounding like Imagine Dragons or Mumford and Sons, every R&B song like a sleepwalking Adele or a charmless Ariana Grande.

There are no edges to any of the Suno vocals. Everything is bathed in reverb, layered with harmonies, and perfectly on pitch. Even if you explicitly tell it not to do these things, the model just ignores you. I asked v5 for an “unprocessed emotional solo A cappella female vocal performance with no reverb, no harmonies, no effects, just dry vocals.” The two songs it delivered were bathed in reverb, included additional vocalists harmonizing with the first, and one even had what sounded like a bass accompaniment. (Though, it may have been a voice approximating a bass.) But Phipps wasn’t surprised. The “models don’t yet understand descriptions of specific effects and recording techniques. The way the vocal is performed is most influenced by the lyrics and the general mood,” he said.

So, I fed Suno lyrics that were just different enough from the Rolling Stone’s “Gimme Shelter” to avoid getting flagged for copyright infringement. At first brush it seemed to have all the elements that make the original so devastating. A powerful female vocalist shouting over a full, bluesy arrangement, but it had all of the emotional impact of a dentistry textbook.

When I listen to the “Gimme Shelter,” it’s the way Mary Clayton’s voice cracks as she belts out “rape and murder” during the bridge that causes me to choke up. It’s Robert Smith’s completely out-of-tune warble that conveys the desperation in “Why Can’t I Be You” and the tangible exhaustion in Kurt Cobain’s breath right before he delivers the last line in “Where Did You Sleep Last Night” that tells you this is a man struggling with real demons.

In general, trying to make Suno sound “bad” — out of tune, raw, off key, sloppy — was futile. For all the company’s talk about how “natural” the new model’s vocals sound it lacks the imperfections that often carry the emotional weight of a performance. Suno’s virtual vocalists still sound detached. Model v5 might understand that a particular lyric should be sad, but it has no actual emotional connection to the words, because it’s a pile of code, not an artist.

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September 26, 2025 0 comments
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Nvidia CEO Jensen Huang Is Bananas for Google Gemini’s AI Image Generator
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Nvidia CEO Jensen Huang Is Bananas for Google Gemini’s AI Image Generator

by admin September 17, 2025


Nvidia CEO Jensen Huang is in London, standing in front of a room full of journalists, outing himself as a huge fan of Gemini’s Nano Banana. “How could anyone not love Nano Banana? I mean Nano Banana, how good is that? Tell me it’s not true!” He addresses the room. No one responds. “Tell me it’s not true! It’s so good. I was just talking to Demis [Hassabis, CEO of DeepMind] yesterday and I said ‘How about that Nano Banana! How good is that?’”

It looks like lots of people agree with him: The popularity of the Nano Banana AI image generator—which launched in August and allows users to make precise edits to AI images while preserving the quality of faces, animals, or other objects in the background—has caused a 300 million image surge for Gemini in the first few days in September already, according to a post on X by Josh Woodward, VP of Google Labs and Google Gemini.

Huang, whose company was among a cohort of big US technology companies to announce investments into data centers, supercomputers, and AI research in the UK on Tuesday, is on a high. Speaking ahead of a white-tie event with UK prime minister Keir Starmer (where he plans to wear custom black leather tails), he’s boisterously optimistic about the future of AI in the UK, saying the country is “too humble” about the country’s potential for AI advancements.

He cites the UK’s pedigree in themes as wide as the industrial revolution, steam trains, DeepMind (now owned by Google), and university researchers, as well as other tangential skills. “No one fries food better than you do,” he quips. “Your tea is good. You’re great. Come on!”

Nvidia announced a $683 million equity investment in datacenter builder Nscale this week, a move that—alongside investments from OpenAI and Microsoft—has propelled the company to the epicenter of this AI push in the UK. Huang estimates that Nscale will generate more than $68 billion in revenues over six years. “I’ll go on record to say I’m the best thing that’s ever happened to him,” he says, referring to Nscale CEO Josh Payne.

“As AI services get deployed—I’m sure that all of you use it. I use it every day and it’s improved my learning, my thinking. It’s helped me access information, access knowledge a lot more efficiently. It helps me write, helps me think, it helps me formulate ideas. So my experience with AI is likely going to be everybody’s experience. I have the benefit of using all the AI—how good is that?”

The leather-jacket-wearing billionaire, who previously told WIRED that he uses AI agents in his personal life, has expanded on how he uses AI (that’s not Nano Banana) for most daily things, including his public speeches and research.

“I really like using an AI word processor because it remembers me and knows what I’m going to talk about. I could describe the different circumstance that I’m in and yet it still knows that I’m Jensen, just in a different circumstance,” Huang explains. “In that way it could reshape what I’m doing and be helpful. It’s a thinking partner, it’s truly terrific, and it saves me a ton of time. Frankly, I think the quality of work is better.”

His favorite one to use “depends on what I’m doing,” he says. “For something more technical I will use Gemini. If I’m doing something where it’s a bit more artistic I prefer Grok. If it’s very fast information access I prefer Perplexity—it does a really good job of presenting research to me. And for near everyday use I enjoy using ChatGPT,” Huang says.

“When I am doing something serious I will give the same prompt to all of them, and then I ask them to, because it’s research oriented, critique each other’s work. Then I take the best one.”

In the end though, all topics lead back to Nano Banana. “AI should be democratized for everyone. There should be no person who is left behind, it’s not sensible to me that someone should be left behind on electricity or the internet of the next level of technology,” he says.

“AI is the single greatest opportunity for us to close the technology divide,” says Huang. “This technology is so easy to use—who doesn’t know how to use Nano?”





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September 17, 2025 0 comments
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