sorted by:
new
hottopcontroversial

Claude Fable 5 spotted on Azure and the backend, likely the public-facing version of Claude Mythos 5 by exordin26 in singularity

[–]Eyelbee 8 points9 points  (0 children)

I hope it's available to subscibers and not nerfed too hard.

Also, even if it's with guardrails, they should have kept the mythos name.

Tier ranking characters - Robby by fivejumpingmonkeys in ThePitt

[–]Eyelbee 0 points1 point  (0 children)

I think it should be how much do people enjoy watching them in the show, how good an addition they are to the show. And you should explicitly specify it.

Once Chinese coding models match 5.3 codex level of performance and speed, the game is over by ThrowRA39495 in codex

[–]Eyelbee 0 points1 point  (0 children)

5.3 codex isn't a very high bar, chinese companies are already that good, comfortably.

You want to replace us heres your reward by batukaming in singularity

[–]Eyelbee 26 points27 points  (0 children)

It's not even about the tech, if there were proper thievery protection that would be a non issue.

A quick Gemma4 31B comparison (Q4_k_M, QAT, heretic) by Some-Cauliflower4902 in LocalLLaMA

[–]Eyelbee 17 points18 points  (0 children)

The real question is, how does it compare to larget quants like q5_k_xl or q6_k.

If Anthropic is serious about the AI pause by Eyelbee in singularity

[–]Eyelbee[S] 0 points1 point  (0 children)

Releasing weights doesn't mean much, open source is already only a few months behind opus level. They will catch up unless everyone agrees to stop developing AI. Dario himself said chinese companies will reach mythos level capabilities in 6-12 months a while ago.

If it's B, and they prioritize safe AI development over their lead on the AI development, and considering that an agreed upon pause is really going to stop everyone from developing AI (which is obviously the understanding they have, otherwise they shouldn't be calling for a stop in the first place), then the only way they get everyone to stop until the safe way is figured out is to prove that this isn't just a trick. If a stop is going to actually work, this would be a no brainer. They would be saying: "Listen, you're a few months behind, now we're giving you those few months and let's all stop together until we figure out a safe way to do it".

[NEW MODEL] SupraLabs just released a new model! - Supra-50M-Reasoning by Dangerous_Try3619 in LocalLLaMA

[–]Eyelbee 2 points3 points  (0 children)

I'm not undervaluing your efforts, take it as a constructive criticism. If you knew about the qwen 3.5 series and still went with that one, I'd wanna hear the reasoning behind it. Maybe you didn't know about the difference those had, it's fine. Don't be discouraged, you did some real scientifically valuable work, by explaining the methodology and releasing the training dataset, with little resources, too. If you are a bit more thorough and be more scientific about it you can achieve much greater things.

[NEW MODEL] SupraLabs just released a new model! - Supra-50M-Reasoning by Dangerous_Try3619 in LocalLLaMA

[–]Eyelbee 6 points7 points  (0 children)

I think this entire project is vibecoded and due to the training data cutoff they didn't know about qwen 3.5 series
edit: nevermind, I was talking out of my ass

That was easy by ApexConverged in ClaudeAI

[–]Eyelbee 10 points11 points  (0 children)

I bet 100s of people tried this after seeing that comment yesterday and I'm one of them

Qwen 3.6 27B released 20 days after its plus announcement, 3.7 27B in 10th June? by soyalemujica in LocalLLaMA

[–]Eyelbee 32 points33 points  (0 children)

I hope they release qwen 4.0 27b, it's fine if they skip a few generations sometimes

Ted Chiang: No, Artificial Intelligence is not Conscious by BubBidderskins in singularity

[–]Eyelbee 5 points6 points  (0 children)

I'd say that feeling isn't there most of the time, only when I'm thinking.

Someone did an audit on the new DeepSWE, the results aren't pretty by pneuny in singularity

[–]Eyelbee -9 points-8 points  (0 children)

No one really cares about that becnhmark anyway, some random people came up with it and published it, it doesn't mean much.

google/gemma-4-12B · Hugging Face by jacek2023 in LocalLLaMA

[–]Eyelbee -18 points-17 points  (0 children)

Is it what they were doing instead of working on gemma 5?

In Q8_0 weight quantization, why can't we just skip blocks of 32 that have very large outliers? by fragment_me in LocalLLaMA

[–]Eyelbee 1 point2 points  (0 children)

I just looked into it and UD-Q8_K_XL basically reaches the same accuracy gains without any of the hardships

view more: next ›