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

https://qwen.ai/blog?id=qwen3.8
127•ai2027•1h ago•45 comments

Show HN: Isopolis – Isometric pixel map of SF

https://sf.isopolis.city/
84•nuwandavek•3h ago•19 comments

CP/M-386 – CP/M for 386 protected mode, derived from CP/M‑68K

https://github.com/johnsonjh/cpm386
42•TMWNN•3h ago•9 comments

Karpathy’s Pelican

https://twitter.com/karpathy/status/2083749667410727319
482•delichon•23h ago•354 comments

Show HN: ssh ssh.place

https://ssh.place
52•jeninh•3h ago•28 comments

Why Book Corners won't sync contributions back to OpenStreetMap

https://www.andreagrandi.it/posts/why-book-corners-wont-sync-contributions-back-to-openstreetmap/
61•pizzaiolo•3h ago•34 comments

Autoregressive Language Model on the 6502 Processor

https://mattbeton.com/blog/bitnet-6502.html
72•nmstoker•2d ago•7 comments

Show HN: Kakehashi – Experimental userspace to run macOS binaries on Linux ARM

https://github.com/wie-project/kakehashi
192•vlad_kalinkin•11h ago•40 comments

RFC 9851: TLS 1.2 is in Feature Freeze

https://www.rfc-editor.org/rfc/rfc9851.html
19•Jimmc414•2h ago•6 comments

Show HN: A Handwritten Blogging Platform

https://handwritten.blog/
24•emilesilvis•2d ago•5 comments

Note-Taking and Personal Knowledge Management

https://unattributed.cc/note-taking-and-personal-knowledge-management
150•surprisetalk•5d ago•44 comments

Developers are attached to tools because tools encode trust

https://stackoverflow.blog/2026/07/29/developers-are-attached-to-tools-because-tools-encode-trust/
171•HieronymusBosch•4d ago•90 comments

SwiftUI After 7 Years

https://ykvm.com/2026/07/swiftui-a-story-of-mediocrity/
131•mpweiher•8h ago•112 comments

Why we write our own C and C++ inference engines

https://localai.io/blog/why-we-write-our-own-engines/
5•eatonphil•2d ago•1 comments

Read the novels and forget everything else

https://hedgehogreview.com/web-features/thr/posts/read-the-novels-and-forget-everything-else
67•samclemens•2d ago•38 comments

The Computational Theory of Mind (2015)

https://plato.stanford.edu/entries/computational-mind/
41•cyanregiment•5h ago•16 comments

The myth of Snow Leopard

https://www.rubenerd.au/the-myth-of-snow-leopard/
55•speckx•9h ago•50 comments

How the words we teach English language learners changed

https://pudding.cool/2026/07/essential-words/
195•c-oreills•12h ago•140 comments

Show HN: Mu – Tools for Agents

https://github.com/micro/mu
42•asim•5h ago•12 comments

Show HN: Make your Framework 12 sound like a creaky door

https://github.com/ArcaEge/creakwork12
62•arcaege•7h ago•8 comments

My personal AI benchmark: “Generate an SVG of a frog with a Habsburg jaw”

https://frogs.vaguespac.es/
120•thebigship•8h ago•52 comments

F*: A general-purpose proof-oriented programming language

https://fstar-lang.org/
168•ducktective•15h ago•76 comments

Twenty Years of RISC OS Open

https://www.riscosopen.org/news/articles/2026/06/20/twenty-years-of-risc-os-open
154•AlexeyBrin•15h ago•30 comments

Show HN: NixOS-DGX-Spark – Nix and NixOS on the DGX Spark

https://github.com/graham33/nixos-dgx-spark
102•graham33•10h ago•31 comments

TinyNES Review – A Super Niche NES Console

https://blog.lon.tv/2023/02/05/tinynes-review-a-super-niche-nes-console/
41•throwoutway•7h ago•10 comments

Californians' data deletion requests, DROP, become enforceable Aug. 1

https://www.nbcsandiego.com/nbc-7-responds-2/californians-data-deletion-requests-drop-become-enfo...
113•MilnerRoute•5h ago•48 comments

When transit passes were designed by hand (2022)

https://letterformarchive.org/news/milwaukee-transit-passes/
116•nate•2d ago•29 comments

Show HN: Shitty – fast terminal. Memory-unsafe and faster than yours

https://github.com/pg83/shitty
101•pshirshov•4h ago•99 comments

Playing with Georgia

https://mighil.com/playing-with-georgia
16•surprisetalk•4d ago•7 comments

Folding Paper Globes

https://foldingglobes.com/globes
157•dango2506•4d ago•32 comments
Open in hackernews

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

https://qwen.ai/blog?id=qwen3.8
127•ai2027•1h ago

Comments

VladVladikoff•48m ago
Are these latest Qwen models still open weights or has Qwen moved away from that?
a2dam•47m ago
The second sentence of the page: "This also marks the first time we will open-source the weights of a Qwen-Max-class model — the open weights will be released next week."
VladVladikoff•47m ago
Page won’t load for me it’s just grey bars fading back and forth forever.
Larrikin•11m ago
You can always wait until the page loads before posting your thoughts on the Internet
jofzar•47m ago
Lmao I love their video with the idea that people will be able to do their hobbies while ai does their job.

Surely Alibaba is leading by example here by reducing work hours per week while keeping pay the same right? Right?

mlmonkey•44m ago
That's the thing. Wny are companies like OpenAI/Anthropic/Alibaba/Kimi/Deepseek still hiring SWEs if their models have become so good?
Mythorian•33m ago
I mean its pretty obvious right? This models are not flawless and sometimes reach stupid conclusions so there needs to be some one who watches it. Thought i must say u are right. Every one of them pretends that this new model is gonna finally take ur jobs lol
wmf•29m ago
There's infinite work to be done, so higher productivity makes people worth more. (Obviously this doesn't apply if AI can do everything but we're not there yet.)
BetterThanSober•27m ago
The models are good even by skeptics standard, it's just that evangelists are overselling the capabilities. If you understand the limits of LLMs not using them as a business is shooting yourself in the foot.

However, they are not at the point where they can effectively train themselves, nor did they are capable of researching their own method of learning. SWEs in mid-corps on my country are right now relegated to reviews and sanity check, basically babysitting the LLMs and making sure they're not spouting nonsense. If you think about it, that's basically QA and can also be delegated to another AI. If Bun's rust rewrite that they tout as fully LLM-led can pass the test of time in a year or so I think that's it.

I believe all that is now constrained by compute and capital, not tech.

cute_boi•12m ago
simonw•47m ago
> Today, we are officially releasing Qwen 3.8-Max, the most capable model in the Qwen family to date. This also marks the first time we will open-source the weights of a Qwen-Max-class model — the open weights will be released next week.

I don't understand. That's dated today, but:

https://twitter.com/alibaba_qwen/status/2078759124914098291

> Qwen3.8 is launching and going open-weight soon! [...] You don't have to wait to test it. Just now, the Qwen3.8-Max-Preview made its debut on Alibaba’s Token Plan, Qoder, and QoderWork.

That was on July 19th. I used it to draw this pelican: https://simonwillison.net/2026/Jul/20/afraid-of-chinese-mode...

So what are they releasing today?

telemaxs•41m ago
they releasing Max.
bloomsa•38m ago
July 19th post mentions “Max-Preview” vs. today’s post dropping the “Preview”. Unclear what changed if anything though.. Maybe broader availability or it’s a slightly improved checkpoint
Jowsey•38m ago
My understanding is that these "preview" models are usually earlier RL checkpoints, and that "official release" happens when they're happy with the training run?

I believe they mentioned around the preview announcement that they'd be releasing improvements to capability, which I assume means continued training.

simonw
toshinoriyagi•44m ago
They've also announced Qwen3.8-27B being released open-weight next week. Qwen3.6-27B is widely regarded as one of the best local models, especially since nothing else comes close to it, that isn't benchmaxxed, without being significantly larger. If 3.8 truly improves upon it that would be awesome.
icelancer•23m ago
This is what I've been waiting for. We are still using fine-tuned deployments of Qwen3.6-27B with a lot of success but could use a bump in intelligence. Here's hoping.
nozzlegear•22m ago
Qwen3.6-35B is my daily driver for AI, and what convinced me to cancel my Claude subscription back in April. The Qwen3.6 line is easily the best local model I've tried, and I've tried a lot. I've got it diligently grinding away on my laptop right now, reviewing and fixing some bugs in my F# code.
neumann•12m ago
compared to claude - how 'fast' is it in terms of throughput on your laptop?
pettijohn•10m ago
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!
mattnewton•
ddxv•44m ago
It seems this is the only mention of cost?

> Qwen3.8-Max comes with the official support for reasoning_effort, which can be used to adjust reasoning depth and control cost:

> xhigh (default): for complex tasks demanding thorough analysis

> medium: balancing accuracy and speed

> low: efficient reasoning optimizing for speed and cost

I hope this is significantly cheaper. I've been loving Deepseek for it's nearly free usage costs, hard to justify switching from cents per day.

daemonologist•40m ago
The linked qwencloud page has pricing; it's $2/6.

https://www.qwencloud.com/models/qwen3.8-max

ddxv•4m ago
Thanks, totally missed that!
Jowsey•40m ago
They mention it explicitly in the Twitter post [0].

> Pricing: Input: $2.0 / M tokens Output: $6.0 / M tokens Implicit Caching: $0.25 / M tokens

[0]: https://x.com/Alibaba_Qwen/status/2084100707423289643

wxw•44m ago
> This also marks the first time we will open-source the weights of a Qwen-Max-class model — the open weights will be released next week.

Nice!

choppaface•41m ago
“self-evolves through feedback loops”

Does this mean they distilled Claude? Sounds like what Claude Code will often do.

Art9681•37m ago
Of course they did.
charcircuit•33m ago
It's meaningless. Models have always been able to do this and this capability is strengthened during RL since being able to explore the solution space to figure something out will give it a reward.

What is important is how long it can go without requiring human intervention. Not just that it's possible to run on its own for a time.

BeriV2•40m ago
We will eventually need a self evolution benchmark to see where these large models can create recursive solutions that improve
adi2907•36m ago
Once OpenAI and Anthropic are public, every such announcement will become a reliable sell signal
MangoCoffee•14m ago
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?

LLMs are useful, and dare I say they’re on par with the internet. Making them cheaper and affordable is good for everyone. The fear mongering from Anthropic and OpenAI looks like an attempt to corner the US market into using only US models so they can keep the profits, especially since China has proven that LLMs are a commodity. US AI labs should work on making LLMs cheaper or better harness. Altman and Dario are not trustworthy.

_jayhack_•13m ago
Only the ones that beat expectations
int32_64•5m ago
It's not so simple, if such a headline can get them closer to the regulatory capture they want to lock in American businesses and forbid them from using Chinese AI.
luciana1u•28m ago
the benchmark I trust most is whether the model can explain its own pricing page without getting confused
usrnm•17m ago
Not even humans can do that, you're literally asking for something beyond AGI
Stitch4223•6m ago
Bistromathics

https://www.hhgproject.org/entries/bistromathics.html

boredatoms•7m ago
3.8 27b is the real news here
TacticalCoder•3m ago
> In this case, Qwen3.8-Max was asked to create the oh-my-cli project from scratch and, over a 10+ day long-horizon autonomous coding run, build a self-evolving harness.

They don't explain how successful that went but it's a bit hilarious seen that an Anthropic dev explained that it's been 15 days Claude was hard at work --with nothing to show yet-- trying to rewrite itself in another language.

"You rewrite Claude Code, we rewrite oh-my-pi."

"You're nowhere after 15 days, we do it in 10."

Sure, it's apples to oranges and all that. But part of me thinks they know fully well what they did there.

The world never runs out of problem. There is so much work to do.
rrix2•3m ago
https://en.wikipedia.org/wiki/Jevons_paradox
SyneRyder•11m ago
> I love their video with the idea that people will be able to do their hobbies while ai does their job...

Are you not already experiencing this? I think this is fairly common for people using AI now, though the time may not always go into hobbies or sports. It's common for me to setup Claude with an hour+ task while I catch up on housework, or while I'm getting ready in the morning.

In the last couple of weeks I've unfortunately had multiple family illnesses - it has been helpful to have Claude keep up with much of my product development programming work while I visit my mother in hospital and check on my father's recovery. I'm able to give more time to family without worrying that business progress isn't keeping up. The overnight Claude sessions while I'm asleep have been particularly helpful.

•
18m ago
... other comments were right, this is the full qwen3.8-max model, two weeks ago was the qwen3.8-max-preview release.

Here's a pelican I just got out of the new model. It took 11 minutes and forgot the wheels! https://tools.simonwillison.net/markdown-svg-renderer#url=ht... (scroll to bottom)

The reasoning trace is pretty great:

> More additions: basket with fish in it? Cute detail — a fish poking out of a basket on the handlebars! This adds charm and pelican context.

If the price is $2/$6 that cost me 17 cents: https://www.llm-prices.com/#it=90&ot=29734&ic=2&oc=6

pettijohn•8m ago
Wow, bike geometry is really good! Except for the missing wheels lol
applfanboysbgon•5m ago
Do pelican bikes need wheels? They've got wings, after all... I think Qwen is on to something here.
6m ago
There was a 3.5 122B 10A release -

https://huggingface.co/Qwen/Qwen3.5-122B-A10B

ufish235•8m ago
What laptop?
XCSme•6m ago
If they trained it well, and can do computer use, it will be a new era. Companies can keep PCs, put Qwen 3.8 27b on it and get rid of the employees, lol...