Qwen3-TTS family is now open sourced: Voice design, clone, and generation

This won't change anything about Western style courts which have always required an unbroken chain of custody of evidence for evidence to be admissable in court

Agreed. The only thing worse than everyone having access to this tech is only governments, mega corps and highly-motivated bad actors having access. They've had it a while and there's no putting the genii back in the bottle. The best thing the rest of us can do is use it widely so everyone can adapt to this being the new normal.

Socratic version: how can the Chinese companies afford to make them and give them out for free? Cui bono?

n.b. it's not because they're making money on the API, ex. open openrouter and see how Moonshot or DeepSeek's 1st party inference speed compares to literally any other provider. Note also that this disadvantage can't just be limited to LLMs, due to GPU export rules.

Lol what exactly do you think Zuck would do with your voice, drain your bank account??

[1] https://c2pa.org/

I simply think people don't really know that the new world requires a new set of rules of engagement for anything that exists behind a screen (for now).

That said, I am likewise looking forward to the cool things to come out of this.

> And there will be incredible benefits that come out of this.

Your username is echelon.

I just wanted to point that out.

Except that building a nuclear weapon was not available to everyone, certainly not to dumb people whose brain have been feeded with social media content.

I was with you, until

But, yeah. Life will go on.

The HF demo is very similar to the GitHub demo, so easy to try out.

  pip install torch torchvision --index-url https://download.pytorch.org/whl/cu128
  pip install qwen3-tts
  qwen-tts-demo Qwen/Qwen3-TTS-12Hz-1.7B-Base --no-flash-attn --ip 127.0.0.1 --port 8000

Skipped FlashAttention since I'm on Windows and I haven't gotten FlashAttention 2 to work there yet (I found some precompiled FA3 files[3] but Qwen3-TTS isn't FA3 compatible yet).

[1]: https://github.com/QwenLM/Qwen3-TTS?tab=readme-ov-file#quick...

[2]: https://pytorch.org/get-started/locally/

[3]: https://windreamer.github.io/flash-attention3-wheels/

Haven't looked into the demo to see if it could be optimized by moving certain bits to CPU for example.

Character Name: Marcus Cole Voice Profile: A bright, agile male voice with a natural upward lift, delivering lines at a brisk, energetic pace. Pitch leans high with spark, volume projects clearly—near-shouting at peaks—to convey urgency and excitement. Speech flows seamlessly, fluently, each word sharply defined, riding a current of dynamic rhythm. Background: Longtime broadcast booth announcer for national television, specializing in live interstitials and public engagement spots. His voice bridges segments, rallies action, and keeps momentum alive—from voter drives to entertainment news. Presence: Late 50s, neatly groomed, dressed in a crisp shirt under studio lights. Moves with practiced ease, eyes locked on the script, energy coiled and ready. Personality: Energetic, precise, inherently engaging. He doesn’t just read—he propels. Behind the speed is intent: to inform fast, to move people to act. Whether it’s “text VOTE to 5703” or a star-studded tease, he makes it feel immediate, vital.

Yeah all my radio plays are from OTRR now. I bought a number of different "collections" from different sources but none of them come even close to the quality and care that the OTRR people have.

Also, always a pleasure to meet someone else who loves old-time radio :-D

What are some of your favorites? Probably my favorite is Abbott & Costello, followed by Have Gun - Will Travel and Gunsmoke. I like the Lone Ranger too but am only a few hours into it so far.

p.s. I am indeed a dude named Ben!

$20/month is a bit of an insane ask when the most valuable thing Anthropic makes is the free Claude Code CLI.

Being critical of favorable actions towards a rival country shouldn't be divisive, and if it is, well, I don't think the problem is in the criticism.

Also the link doesn't mention open source? From a google search, he doesn't seem to care much for it.

I prefer to have more open models. On the other hand China closes up their open models once they start to show a competitive edge.

Stuff like this: https://github.com/mohsen1/claude-code-orchestrator-e2e-test...

Yes, the idea is to really, fully automate software engineering. I don't know if I am going to be successful but I'm on vacation and having fun!

if Opus 4.5/GLM 4.7 can do so much already, I can only imagine what can be done in two years. Might as well adopt to this reality and learn how leverage this advancement

My experience is that all of the models seem to do a decent job of writing a whole application from scratch, up to a certain point of complexity. But as soon as you ask them for non-trivial modifications and bugfixes, they _usually_ go deep into rationalized rabbit holes into nowhere.

I burned through a lot of credits to try them all and Gemini tended to work the best for the things I was doing. But as always, YMMV.

That evening, for kicks, I brought the problem to GLM 4.7 Flash (Flash!) and it one-shot the right solution.

It's not apples to apples, because when it comes down to it LLMs are statistical token extruders, and it's a lot easier to extrude the likely tokens from an isolated query than from a whole workspace that's already been messed up somewhat by said LLM. That, and data is not the plural of anecdote. But still, I'm easily amused, and this amused me. (I haven't otherwise pushed GLM 4.7 much and I don't have a strong opinion about about it.)

But seriously, given the consistent pattern of knitting ever larger carpets to sweep errors under that Claude seems to exhibit over and over instead of identifying and addressing root causes, I'm curious what the codebases of people who use it a lot look like.

This has been my consistent experience with every model prior to Opus 4.5, and every single open model I've given a go.

Hopefully we will get there in another 6 months when Opus is distilled into new open models, but I've always been shocked at some of the claims around open models, when I've been entirely unable to replicate them.

Hell, even Opus 4.5 shits the bed with semi-regularity on anything that's not completely greenfield for my usage, once I'm giving it tasks beyond some unseen complexity boundary.

A financial jackknifing of the AI industry seems to be one very plausible outcome as these promises/expectations of the AI companies starts meeting reality.

They need a training-multiplier breakthrough that would allow them to train SOTA models on on a fraction of the compute that the US does. And this would also have to be kept a secret and be well hidden (often multiple researchers from around the world put the pieces together on a problem at around the same time, so the breakthrough would have to be something pretty difficult to discover for the greatest minds in the field) to prevent the US from using it to multiply their model strength with their greater compute.

Works surprisingly good with a 4090. I will also try it on 5090. This is the best one I have seen so far. NGL. 11Labs is cooked lol.

As a result it's dog slow on CPU only, like 3-4 minutes to produce a 3 second clip, and still significantly less than real-time on my 5090 using only 30% of the GPU.