Live data from Hacker News

Qwen3.8-Max: A New Bar for Coding and Cowork

qwen.ai

71–80 of 653 posts

Re: Qwen3.8-Max: A New Bar for Coding and Cowork

#72

Can a model be stripped off anything not relevant to coding and get a lot lighter? Or is that impossible? Just like we have professors with specialisation wondering if AI models can also be so.

I guess it can but it will be useless. After all the model superpower is awareness and ability to guess and infer some stuff. Right now a model saves you time not only by coding faster, but that it can figure out some stuff about the shape of the data and its purpose.

If you throw general purpose model at a codebase - it will look at the table and data logical connections beyond what is explicitly declared. It will figure out on its own that Salaries should be displayed on SalariesTable.php and it will "know" that your prices should include vat and so on.

A human knows that VAT and price go together and are related, full size LLM does too, stripped one - doesn't.

Re: Qwen3.8-Max: A New Bar for Coding and Cowork

#73
post #52

Earlier quoted context omitted.

US AI labs really rub me the wrong way, especially with the doom and scare tactics they use. Both Altman and Dario keep talking about how AI will replace workers and how we should regulate LLMs for national security, Dario’s main point. LLMs are useful. We can all see that in agentic coding. But replacing everyone’s job? Hardly. And what’s with the scare tactic of trying to get the US government to ban foreign models…

Sam drank the "superintelligence" kool aid early on and said 30-40% of jobs could be impacted by AI, but recently admitted he was wrong > “My scorecard, at the highest level, would be we’ve been roughly right on technological predictions and pretty wrong on the social and economic implications” https://www.cxtoday.com/ai-automation-in-cx/sam-altman-softe... I agree re: Dario quietly pushing for government control. He…

I imagine it will be a long tail. Most companies won’t fire people for AI but probably won’t immediately replace a person that leaves, if at all.

Re: Qwen3.8-Max: A New Bar for Coding and Cowork

#74
post #64

Earlier quoted context omitted.

You are right to feel that way about the frontier labs, especially Anthropic. From https://stratechery.com/2026/anthropics-safety-superpower/ > "Anthropic believes that they are the ones who should have final say over how Anthropic is used; given that they think only they should be developing leading edge AI, they by extension think that only they should have final say over AI generally. When you further combine this…

To be fair, we're simultaneously mocking anthropic for believing in safety so much and also for them thinking they're the only ones that care enough about it. It's true that no one else seems to care as much. Judging by reactions from everyone, all their safety talk is very bad PR.

[dead]

Re: Qwen3.8-Max: A New Bar for Coding and Cowork

#77

Earlier quoted context omitted.

35B MoE is certainly a good and fast local model. I find 27B dense to be quite a bit smarter, so I daily drive that. I wish there was a ~100B MoE with maybe 10B active. It would be super smart and fast!

There was a 3.5 122B 10A release - https://huggingface.co/Qwen/Qwen3.5-122B-A10B

I tried it for a bit, and It was not really worth its size. It got swept up in all the other AI news recently, but laguna s 2.1 I think is the best ~100B moe model right now

Re: Qwen3.8-Max: A New Bar for Coding and Cowork

#78
post #56
post #20

Once OpenAI and Anthropic are public, every such announcement will become a reliable sell signal

Can they still go public ? MiniMax M3 Pro is also coming, then DeepSeek-v4-Pro GA, then GLM5.5. There will only be bad news for them in the coming few weeks/months.

Fable 5.1 is coming, then GPT-6...

Re: Qwen3.8-Max: A New Bar for Coding and Cowork

#79
I'm trying and failing to find value running a potential Qwen 3.8 27b dense model on a 16 core, 128 GB of ram, 2080ti box. Yes, the GPU yells for help, but the problem is that no math works to upgrade this machine even when pouring $200 in rent every month into the large model providers...

How are you all justifying economical use of these local models right now? What's the cost efficient way to do this and do better (even with models evolving over time and losing now vs later) than the big labs?

Post reply on HN