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Every Fucking Website (2020)

https://lxe.github.io/everywebsite/
407•doubletwoyou•1h ago•223 comments

Seven books I keep close because I love them

https://blog.plover.com/2026/08/02/
45•surprisetalk•1h ago•18 comments

Introducing Toast 1

https://www.mixedbread.com/blog/toast-1
46•mplappert•1h ago•13 comments

GLM-5.3: Frontier coding with emergent cyber capabilities

https://z.ai/blog/glm-5.3
860•pella•10h ago•451 comments

When Genius Fails: The Intellectual Arrogance of the AI Labs

https://weightythoughts.com/p/when-genius-failsthe-intellectual
108•gmays•1h ago•88 comments

Qwen3.8-27B

https://twitter.com/alibaba_qwen/status/2088280182356611304
202•mfiguiere•1h ago•74 comments

In Australia, a Home Battery Boom Has Helped Cut Wholesale Power Prices in Half

https://e360.yale.edu/digest/australia-home-batteries
161•speckx•2h ago•120 comments

I turned my RSS feeds into an e-ink newspaper to stop reading on my phone

https://heyjonny.dev/posts/rss-to-eink-newspaper/
31•speckx•1h ago•12 comments

Don't classify, hallucinate!

https://softwaredoug.com/blog/2026/08/10/hypothetical-classifications
147•softwaredoug•3d ago•69 comments

"Solving a largely imaginary user goal"

https://unsung.aresluna.org/solving-a-largely-imaginary-user-goal/
9•euthymiclabs•25m ago•5 comments

DeepSeek peak/off-peak pricing update

https://api-docs.deepseek.com/news/news260813/
182•fagnerbrack•6h ago•102 comments

Show HN: Graft – Claude Code hooks that cut grep tokens by 42%

https://github.com/NanoNets/Graft
13•shrishdwi•52m ago•3 comments

Self-hosted web push Cloudflare Worker, works on iOS

https://kukuroo.cc/
21•saiday•1h ago•4 comments

The TEMU-Fication of Software, Digital Goods and Services

https://xn--gckvb8fzb.com/the-temu-fication-of-software-digital-goods-services/
56•surprisetalk•4h ago•34 comments

AV1 vs. AV2: Which Video Codec Should You Use in 2026?

https://www.red5.net/blog/av1-vs-av2/
6•mondainx•53m ago•2 comments

HashAgent – Share an AI agent as a URL, runs locally via WebGPU

https://hashagent.pages.dev/
24•masonhsu•3h ago•3 comments

Qwen 3.8 27B is out: open weights, best local dense model yet

https://huggingface.co/Qwen/Qwen3.8-27B-FP8
68•erdaltoprak•1h ago•14 comments

WhatCable: Know what your USB-C cable can do

https://www.whatcable.uk/
53•mikecarlton•4h ago•28 comments

AI Model Atlas – visualizing populations of ML models as interconnected 3D graph

https://run.cosmograph.app/public/ca9fd1ad-fe83-4238-8b69-b707c633aef0
13•bj-rn•1h ago•3 comments

Show HN: Online SNMP MIB database - upload/view your own MIBs

https://mib-viewer.com/
3•beefstew123•24m ago•0 comments

Gödel, Escher, Elisp: The Beauty of Macros

https://www.chiply.dev/post-elisp-macros-are-beautiful
19•JNRowe•1w ago•9 comments

Private prisons announce $1.4B in revenue as immigration detentions climb

https://www.npr.org/2026/08/08/nx-s1-5923881/geo-group-corecivic-immigration-detention
21•speckx•58m ago•6 comments

Differential Heuristics

https://www.redblobgames.com/blog/2026-08-08-differential-heuristics/
88•ibobev•5d ago•5 comments

Hello, me. It's been a while

https://themech.net/2026/08/hello-me-its-been-a-while/
336•somesoftdev•21h ago•178 comments

Earth.nullschool.net

https://earth.nullschool.net/
8•TremendousJudge•1h ago•2 comments

Why does Opus 5 feel worse to work with?

https://mun-logadan.github.io/why-does-opus-5-feel-worse/
373•numeri•6h ago•360 comments

Show HN: We Implemented the IPv8 Internet-Draft in Linux, Libc, and BGP

https://goonhost.rocks/blog/implementing-ipv8-internet-draft
38•turborigby•3h ago•11 comments

Accelerating GPT-5.6 Sol Ultrafast

https://www.cerebras.ai/blog/accelerating-gpt-5-6-sol-ultrafast-with-openai
678•pr337h4m•22h ago•263 comments

Unsloth Qwen3.8-27B GGUF files

https://huggingface.co/unsloth/Qwen3.8-27B-GGUF
28•apitman•1h ago•0 comments

We're not done with point clouds

https://claytonwramsey.com/blog/mvt/
50•claytonwramsey•3d ago•6 comments
Open in hackernews

Qwen 3.8 27B is out: open weights, best local dense model yet

https://huggingface.co/Qwen/Qwen3.8-27B-FP8
68•erdaltoprak•1h ago

Comments

TomGarden•1h ago
Really excited to see what people do with this. 3.7 27B was probably the best compromise between size and intelligence to run on consumer hardware
erdaltoprak•1h ago
This is one of the most important model releases since most use cases don't need SOTA/Frontier
expedited123•59m ago
Kinda was expecting to see Gemma 4 26B in benchmark comparisons :(
kamranjon•36m ago
Since Qwen 3.6 27b outperforms Gemma 4 26b in most benchmarks I'm not sure the value - also Gemma 26b is a MOE model whereas this is a dense model, so not typically direct competitors at their sizes - Gemma 4 31b comparison would be interesting though.
onlyrealcuzzo•57m ago
If the benchmarks don't lie, this is getting very close to Opus 4.6 capability - which was the turning point for me for when AI was "good enough" that it became very hard to justify not using it.

I'm sure there's some benchmaxxing going on, and some things you get only with a a larger model.

But I'm feeling pretty confident if not by Gemma 5 than by mid 2028 we'll have local models that are almost always as good as Opus 4.6 was and in many cases far better.

DanielHB•37m ago
What kind of things you only get with a larger model?
versteegen•27m ago
IME using 5.6 Luna and DS V4 Flash, I notice that although they are excellent at programming, even Opus-like in the way they try to debug, the thing they are worst at is inferring user intent and making good decisions with little information. They are absolutely terrible at that, will misinterpret small wording ambiguities. I suspect that's an ability you can't add with RL training, that it requires the depth of understanding from vast pre-training.
ThouYS•56m ago
I am so happy right now, qwen3.6-27b was an absolute game changer. To see another one in the same league.. phew
karimf•44m ago
Related: https://news.ycombinator.com/item?id=49299684
xlayn•44m ago
The file "Just loads" on llama.cpp, the Unsloth https://huggingface.co/unsloth/Qwen3.8-27B-GGUF is an MTP file, I see mostly the same speed on pp and generation. There has to be something wrong with those benchmarks, I find extremely hard to believe a 27B model can work similar or exceed opus 4.6.
Mr_Eri_Atlov•35m ago
This is the homelab model hands down
synergy20•35m ago
I wish this can run directly on my RTX 4090, seems like 30B is the sweet spot for dense model to run locally, sadly RTX 5090 is very expensive and I need a new PC and new power supply(and UPS) to run that, adding a second RTX 4090 is another option, but not sure if my PC can do that yet.
baron3dl•31m ago
even a 3090 will give you the VRAM headroom. i run Q8 on an 3090/A6500 combo. well, Q8 of 3.6-27B. I'm building the Q8 GGUF for 3.8 now, assuming mine will finish before someone else's.
piyh•35m ago
Qwen 3.6 is ~$2/m tok, 3.8 should be drop in replacement. Gemma 31B is $0.34/m tok. The price differential on these models is massive on openrouter.