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Qwen3.7-Max: The Agent Frontier

qwen.ai

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Re: Qwen3.7-Max: The Agent Frontier

#311

Post by SR2Z »

jorvi wrote: post #237
speed_spread wrote: post #215

Earlier quoted context omitted.

Yes. A model that can answer "I don't know" would be much more trustable than the current used car salesman we have now.

Its very annoying this has been in the capability of models since the very beginning. It could check how probable its token values are and if those fall below a certain threshold either say "I don't know", or output the most probable (well, more like least improbable) tokens but give a very clear, very strong warning that it is a shot in the dark and likely to contain hallucinations. But no, Google and OpenAI would r…

The probability of tokens is unfortunately a poor proxy for confidence because it is entirely possible for "mixing glue" to appear in a sentence about making pizza depending on context. It might even be likely if the user has asked the model to lie.

Re: Qwen3.7-Max: The Agent Frontier

#312

Post by SR2Z »

slaw wrote: post #144
SR2Z wrote: post #97

Earlier quoted context omitted.

The reason is to create domestic demand for Chinese AI chips so they can eventually be free of NVIDIA.

Replacing NVIDIA is not a problem, replacing ASML is.

China can't do EUV lithography, but they have done a great job of pushing DUV to its limits. If they have the chip design talent they can still produce useful chips for their domestic markets.

Re: Qwen3.7-Max: The Agent Frontier

#313

Post by SR2Z »

logicchains wrote: post #152
embedding-shape wrote: post #122

Earlier quoted context omitted.

Compared to what we have proof the US government have engaged in before? Do people not remember PRISM anymore? It was virtually impossible to think of the scope before it was leaked, and you'd be marked as a conspiracy theorist for believing that happened, before it was made concretely true. I think it's borderline naive to assume various agencies haven't infiltrated OpenAI, Anthropic and others, essentially the enti…

Agencies like the CIA have infiltrated the news agencies, so they have indirect power over the information that LLMs consume.

So there's no reason for the CIA to poison LLMs at all then according to you?

Re: Qwen3.7-Max: The Agent Frontier

#314

Post by gcr »

milch wrote: post #302
flockonus wrote: post #210

Earlier quoted context omitted.

For coding tasks 27B is reported to be much more effective, altho you can probably only run 4b or 5b quants @ this memory. Recommend https://www.reddit.com/r/LocalLLaMA/ as a great source for this type of discussion.

I played around with local LLMs on my M4 Max 64GB this weekend and this is exactly what I found. I put Opus 4.7 "head to head" on the same task as Qwen 3.6 and a few other local models. The 35B did not perform well IME - it needed a lot of handholding and even then the final result did not work until a few more tweaks, while Claude one shot the task. The 27B was much better and also one shot the task, but took about…

This matches my experience too. The little a3b model is quite capable for its size class, as is the 27B model, but it’s still an order of magnitude less effective than Claude on the “effectiveness / time” curve

Re: Qwen3.7-Max: The Agent Frontier

#315

Post by arkadiytehgraet »

kroaton wrote: post #228
solenoid0937 wrote: post #176

Earlier quoted context omitted.

Opus 4.6 was never nerfed, that's FUD. There were harness-level problems that were fixed. 4.7 is much better. But perception is a funny thing, once you think something is bad you start looking for it everywhere.

Did you even use it? It was nerfed to hell and back. It stopped following instructions, forgot what sub-agents responded and so on. Stop spreading this pro-Anthropic narrative. They did a rug pull due to lack of compute.

You are replying to an Anthropic shill, check their comment history. They likely never used AI in development, only LLMs for their comments on HN.

Re: Qwen3.7-Max: The Agent Frontier

#316

Post by rao-v »

DiabloD3 wrote: post #293
rao-v wrote: post #251

Earlier quoted context omitted.

Hey some of us are on hardware (gfx906 based Radeon MI50s with 32GB of stupidly fast VRAM and basically no compute) that inference significantly faster with Q_0 and Q_1 quants

Vega... unfortunately kinda sucks. Its not amazing at compute (yet is a member of the GCN family, which I have been a fan of since its inception) and ended up being too expensive for perf/$ and perf/watt. The only thing it did was make Nvidia rush Series 10 out the door and make it too good. Nvidia has been unable to live up to the gen-to-gen uplift Series 10 did, all because AMD made Nvidia blink. Basically, you're…

I'd have to try the KV cache trick but folks get pretty competitive speeds with the current 31B/27B dense models e.g. https://www.reddit.com/r/LocalLLaMA/comments/1tc9j6u/mi50s_q...
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