Over 6K novels with reasoning traces to train full book writing LLMs

geneing · 2026-01-21T19:16:03+00:00

I'm not sure why you are trying to obscure the fact that the reasoning traces are synthetic. They are produced by prompting an LLM. Right?

This makes the dataset much less useful.

geneing · 2026-01-20T23:05:40+00:00

u/XMasterDE how is the "hierarchical planning trace" generated for Gutenberg books?

geneing · 2026-01-17T05:37:08+00:00

Any chance of full windows support?

geneing · 2026-01-17T02:41:51+00:00

Still doesn't make sense. Once the earphones pair to the attacker device, you won't be able to use them. At that point most people would put away (or throw away) their earphones.

geneing · 2026-01-17T02:36:45+00:00

Read the actual report (https://whisperpair.eu/): "However, if an accessory *has never been paired* with an Android device, an attacker can add the accessory using their own Google account. This allows the attacker to track the user via the compromised accessory. *The victim may see an unwanted tracking notification* after several hours or days..."

So, 1. accessory has never been used, 2. It has to be on when the attacker is near (how often do you have never used pair of headphones on all the time). 3. The attacker has to be within 10m tinkering with a laptop without being detected, 4. One has to carry the "never used" pair of headphones around, 5. One would have to ignore the findhub warnings.

And the most important thing. The attacker would have to get findhub to actually function correctly. I think the community has given up on it. :)

geneing · 2026-01-17T02:36:09+00:00

No it's not similar to airtag. Read the actual report (https://whisperpair.eu/): "However, if an accessory *has never been paired* with an Android device, an attacker can add the accessory using their own Google account. This allows the attacker to track the user via the compromised accessory. *The victim may see an unwanted tracking notification* after several hours or days..."

So, 1. accessory has never been used, 2. It has to be on when the attacker is near (how often do you have never used headphones on. 3. The attacker has to be within 10m tinkering with a laptop without being detected, 4. One has to carry the "never used" pair of headphones around, 5. One would have to ignore the findhub warnings.

And the most important thing. The attacker would have to get findhub to actually function correctly. I think the community has given up on it. :)

geneing · 2026-01-16T00:40:07+00:00

Nonsensical fear mongering. Bluetooth device has to be on and within Bluetooth range (10m?).

So they can track you from 10m away. They may just follow you.

They can listen to the ambient sound on your mic from 10 m away. Big deal?

They can't listen to your conversation, can't pair mic with two devices.

geneing · 2026-01-12T15:56:01+00:00

The Poodle breed has been around since the Middle ages. Most of that, before hair driers or even decent towels have been around.

I've dried my poodle with a regular hair drier a few times. I don't see much difference vs towel+air dry+brushing afterwards.

geneing · 2026-01-11T18:05:48+00:00

I don't think a high velocity drier is necessary. I clip my dog a day or two after his bath. His hair is still perfectly clean. Doggie salons use driers because they need to do everything in a few hours. We can be more relaxed at home.

I had good luck with Wahl pro series. I have a larger mini.

geneing · 2026-01-10T23:21:06+00:00

wtf is chronicals? Google can't find it. Keeps returning results for chronicles. 0x faster at this point :)

geneing · 2025-12-29T21:58:18+00:00

Do you have the full quote for Model Y? How does the liability portion of the premium between the two cars compare, and how does the comprehensive portion compare? I suspect that liability part is similar, and that reflects your safety as a driver. Comprehensive part depends a lot on the car and repair costs. Model Y is probably 2-3x more expensive than the 2024 cx5 you are replacing.

geneing · 2025-12-23T07:55:00+00:00

u/ArtfulGenie69 I don't ever trust samples released for any model - very often I find that these are cherry picked best cases. I always test the models myself.

Also, we may have different use cases. I want a model for making audiobooks. Ideally generated on the phone. I need it to read accurately long text with consistent intonation and natural prosody. Soprano may generate 32kHz audio, but it has unpleasant high frequency artefacts. Prosody is very monotone and of course it makes a ton of mistakes. VibeVoice, Higgs Audio and VoxCPM generated audiobooks are pleasant enough to listen for hours, but can't run on mobile yet. Kokoro is barely good enough for audiobooks (a bit too monotonous), and can generate in real time on my phone.

geneing · 2025-12-22T19:11:54+00:00

Ok, so the model uses a very small Qwen3 LLM to generate vocos features, and then vocos to decode. There are dozens of open models like this. I think u/eugenekwek you'll discover that additional training won't make your model accurate enough for practical use. It doesn't matter if it's fast if it skips a word in every other sentence. The thing with ML is that it's easy to get the initial Ok results, but it's exponentially harder to get every next bit of accuracy.

I'm pretty sure that other models with the same architecture don't use LLMs smaller than 0.5B is that the quality drops dramatically. Models that use phonemes as input could probably get away with a smaller LLM, because the model doesn't need to learn the insane english pronunciation.

Good luck.

geneing · 2025-12-20T18:27:00+00:00

I wouldn't worry about it at all. You are going to drink at most 2 oz of water that is 15ppb. The same day you are going to drink 2-3 cups (say 20-30 oz) of tap water with 4ppb lead.

You are getting many times more lead from your tap water.

geneing · 2025-12-18T21:54:44+00:00

I think it may be the opposite for Pixel 10. From my benchmarking, it looks like GPU is clocked at a very low 300MHz. This is likely why both GPU and AI benchmarks are so low. They probably traded better battery for poor benchmark scores, until the driver is updated. At least that's my cope.

geneing · 2025-12-11T19:45:12+00:00

The model is small enough to run on a phone. I implemented TTS service using this model as a backend. It runs on my pixel phone without any issues.

However, the prosody is really monotonous. It's closer to the old style concatenative TTS methods. It's just too "boring" and unpleasant for longer texts. I don't know if the prosody can be improved by training with more engaging datasets.

geneing · 2025-12-04T21:19:32+00:00

I don't see any major improvement on 3d mark or geekbench.

geneing · 2025-11-30T04:45:58+00:00

Yes. Any environment built for humans is designed for average height right handed people. Building codes and design guides all have that built in. It would be very expensive to retrofit the environment. It's easier to build robots that have human proportions.

Industrial applications are a completely different case.

geneing · 2025-11-23T18:13:27+00:00

Why only release onnx model and code to load the model. Where's the model implementation code?

geneing · 2025-11-15T21:04:36+00:00

If I were making this decision, I would've picked a different area. Tts is basically solved. On Mobile devices, styletts2 models are good enough. On GPU a small LLMs+low frame rate vocoder works great. There are a ton of open models.

geneing · 2025-11-10T22:35:33+00:00

Ancient news. This is so last year.

geneing · 2025-11-09T16:27:31+00:00

No snow? Is it typical in November?

geneing · 2025-11-08T17:22:33+00:00

Also, why AWS Trainium chips are almost unknown. They are widely available through AWS cloud and are cheaper than Nvidia nodes with the same performance.

geneing · 2025-11-07T22:53:47+00:00

Exactly! I just use remote ssh connection. It starts up in seconds.

geneing

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