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Open Source libraries are evolving into reference implementations

https://jacobtomlinson.dev/posts/2026/open-source-libraries-are-evolving-into-reference-implement...
1•iyanuashiri•1m ago•0 comments

We put llms.txt on 83 websites. In 12 weeks OpenAI's crawler read it 7 times

https://www.ezy.ai/research/do-ai-bots-read-llms-txt
1•jamesmackie•3m ago•0 comments

Agentic Code Quality

https://twitter.com/addyosmani/status/2087427868343373919
2•samuel246•10m ago•0 comments

Steam Game Recommender, with a RAG System That Focuses on Explainability First

https://nextsteamgame.com
2•apeczon•11m ago•1 comments

Fideliya Pass

https://www.fideliyapass.com/
2•zakox•13m ago•0 comments

Anthropic in Talks to Buy World Model AI Startup Decart for $6B

https://www.bloomberg.com/news/articles/2026-08-13/anthropic-said-in-talks-to-buy-ai-startup-deca...
3•htrp•14m ago•0 comments

Video game lawyer says all her clients have anti-AI contracts

https://www.gamesradar.com/games/echoing-palworld-dev-video-game-lawyer-says-all-her-clients-have...
2•eatonphil•17m ago•0 comments

Lightweight Haar Wavelet Subband Pruning for LLMs

https://aclanthology.org/2026.findings-acl.798/
1•wslh•17m ago•0 comments

Why your LLM ignores what you asked for

https://github.com/CamjamPNG/skills
2•camjampng•18m ago•0 comments

Apple and AI: Siri the Early Years

https://thechipletter.substack.com/p/apple-and-ai-siri-the-early-years
1•chmaynard•23m ago•0 comments

Shot on iPhone. Now Prove It

https://blog.ppb1701.com/shot-on-iphone-now-prove-it
2•meetpateltech•25m ago•0 comments

When the Denominator Disappears: FDA's Next Evolution Should Be Causal Inference

https://www.realclearhealth.com/articles/2026/08/05/when_the_denominator_disappears_1198625.html
2•tmoertel•26m ago•0 comments

Show HN: Chatlens – Search and browse your ChatGPT and Claude chats offline

https://github.com/david-g-3654/chatlens
1•davai-g•27m ago•0 comments

Is Alibaba going back on their words on qwen3.8 27B? this page is now 404

https://modelscope.cn/models/Qwen/Qwen3.8-27B
1•yakisuragi•28m ago•0 comments

Greatest Concept Albums

https://www.rollingstone.com/music/music-lists/best-concept-albums-1234604040/
2•kaycebasques•31m ago•0 comments

The web's newest weapon against AI scrapers is a font

https://arstechnica.com/ai/2026/08/new-font-turns-ordinary-webpages-into-nonsense-for-ai-scrapers/
2•gpi•34m ago•0 comments

Proofs and Prompts

https://proofsandprompts.com/
1•nill0•37m ago•0 comments

The Machine Is My Session Band, but It Cannot Hear Me

https://expulvisinteractive.com/press/the-machine-is-my-session-band/
1•forgeforward•37m ago•0 comments

Stunning Eclipse turns daylight into darkness across Europe

https://www.bbc.co.uk/news/resources/idt-72837d31-18c9-43be-9863-fbd1bec82c7d
2•andsoitis•39m ago•0 comments

Whoop replacement noop 10.0 released

https://github.com/ryanbr/noop
3•mp3geek•41m ago•1 comments

Show HN: Interspectr – automated interview prep generated from a job posting

https://interspectr.com/
2•ShinApekusay•43m ago•0 comments

ICE plans to equip agents with gloves that can deliver electric shocks

https://www.bbc.com/news/articles/c20d292gdp4o
4•decimalenough•47m ago•0 comments

Show HN: A local RAG desktop app: piFlow

https://github.com/ifoxhz/piflow
1•ifoxhz•47m ago•1 comments

NagaAI – Cheaper AI Aggregator (Like Poe, OpenRouter, etc.)

https://naga.ac
1•peter_d_sherman•48m ago•0 comments

AMD Instinct MI455X Deep Dive: CDNA 5 Marks the Next Era of Instinct

https://www.servethehome.com/amd-instinct-mi455x-deep-dive-cdna-5-marks-the-next-era-of-instinct/
2•pella•53m ago•0 comments

Jarvis – autonomous assistant for real-world tasks

https://jarvis.foundation/
2•modinfo•53m ago•0 comments

Schema - new language for serialized data in C++/C#/Golang and Rust

https://github.com/mas-bandwidth/schema/blob/main/README.md
1•gafferongames•54m ago•0 comments

Jeff Dean has been in talks for a $10B valuation for his new AI startup

https://www.businessinsider.com/former-google-exec-jeff-dean-valuation-for-new-ai-startup-2026-8
2•nsoonhui•55m ago•0 comments

Vercel Sandbox Now Runs on Vercel Managed Images

https://vercel.com/changelog/vercel-sandbox-managed-images
3•0xedb•58m ago•0 comments

What Is AI Governance and How to Operationalize It?

https://www.etherionconsulting.com/blog/what-is-ai-governance-and-how-to-operationalize-it/
3•koanvai•1h ago•0 comments
Open in hackernews

Packed Data Support in Haskell

https://arthi-chaud.github.io/posts/packed/
77•matt_d•1y ago

Comments

nine_k•1y ago
> Introducing the ‘packed’ data format, a binary format that allows using data as it is, without the need for a deserialisation step. A notable perk of this format is that traversals on packed trees is proven to be faster than on ‘unpacked’ trees: as the fields of data structures are inlines, there are no pointer jumps, thus making the most of the L1 cache.

That is, a "memory dump -> zero-copy memory read" of a subgraph of Haskell objects, allowing to pass such trees / subgraphs directly over a network. Slightly reminiscent of Cap'n Proto.

90s_dev•1y ago
We are always reinventing wheels. If we didn't, they'd all still be made of wood.
Zolomon•1y ago
They mention this in the article.
spockz•1y ago
It reminds me more of flat buffers though. Does protobuf also have zero allocation (beyond initial ingestion) and no pointer jumps?
cstrahan•1y ago
No, one example of why being variable sized integers.

See https://protobuf.dev/programming-guides/encoding/

carterschonwald•1y ago
One thing that sometimes gets tricky in these things is handling Sub term sharing. I wonder how they implemented it.
tlb•1y ago
> the serialised version of the data is usually bigger than its in-memory representation

I don’t think this is common. Perhaps for arrays of floats serialized as JSON or something. But I can’t think of a case where binary serialization is bigger. Data types like maps are necessarily larger in memory to support fast lookup and mutability.

nine_k•1y ago
I suppose all self-describing formats, like protobuf, or thrift or, well, JSON are bigger than the efficient machine representation, because they carry the schema in every message, one way or another.
IsTom•1y ago
If you use a lot of sharing in immutable data it can grow a lot when serializing. A simple pathological example would be a tree that has all left subtrees same as the right ones. It takes O(height) space in memory, but O(2^height) when serialized.
gitroom•1y ago
honestly i wish more stuff worked this way - fewer hops in memory always makes me happy
lordleft•1y ago
This was very well written. Excellent article!
NetOpWibby•1y ago
Is this like MessagePack for Haskell?