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Show HN: Trust – Coding Rust like it's 1989

https://github.com/wojtczyk/trust
1•wojtczyk•23s ago•0 comments

How to Buy Cheap Claude Tokens in China

https://www.chinatalk.media/p/how-to-buy-cheap-claude-tokens-in
1•tristanj•3m ago•0 comments

DNA donors help identify Franklin expedition members

https://www.theglobeandmail.com/canada/science/article-dna-donors-help-identify-franklin-expediti...
1•petethomas•5m ago•0 comments

I'm now "writing" my blog

https://www.310networks.com/posts/im-now-writing-my-blog/
1•kookster310•6m ago•0 comments

Show HN: StackSense – AI/data/systems engineering knowledge graph

https://www.stacksense.cc/
1•langtang1996•6m ago•0 comments

Show HN: Password-less authentication via Ramanujan's 1/π series and Nvidia-B200

https://zenodo.org/records/20049892
1•Prakash_1•11m ago•0 comments

MRC Protocol: Supercomputer networking to accelerate large scale AI training

https://openai.com/index/mrc-supercomputer-networking/
1•eyalitki•12m ago•1 comments

The surprisingly complex journey to text-selectable client-side generated PDFs

https://sdocs.dev/blogs/journey-to-pdf-generation
4•FailMore•22m ago•0 comments

Actor alleges James Cameron used her teenage face to create 'Avatar' character

https://www.nbcnews.com/pop-culture/movies/actor-alleges-james-cameron-teen-face-create-avatar-ch...
3•anigbrowl•26m ago•0 comments

Show HN: CRO analysis tool that finds conversion issues

https://spectry.io/analyze
2•spectry•27m ago•0 comments

Show HN: Kstack – Skill pack for monitoring/troubleshooting K8s in Claude Code

https://github.com/kubetail-org/kstack
3•andres•34m ago•0 comments

Great Attractor

https://en.wikipedia.org/wiki/Great_Attractor
2•the-mitr•35m ago•0 comments

Don't Automate Your Moat: Matching AI Autonomy to Risk and Competitive Stakes

https://www.oreilly.com/radar/dont-automate-your-moat-matching-ai-autonomy-to-risk-and-competitiv...
3•knightabu•35m ago•1 comments

LAWS: A new transform operation turning LLM inference into cheap cache lookups

https://arxiv.org/abs/2605.04069
5•EGreg•38m ago•0 comments

Elon Musk's Lawyers Ask OpenAI's President Why He Is Worth $30B

https://www.nytimes.com/2026/05/04/technology/elon-musk-greg-brockman-openai-trial.html
5•1vuio0pswjnm7•40m ago•0 comments

Publishers sue Meta, claiming it violated copyrights in training AI with books

https://www.washingtonpost.com/national-security/2026/05/05/publishers-sue-meta-ai-copyright/
2•1vuio0pswjnm7•42m ago•0 comments

Red Button, Blue Button

https://softmax.com/blog/red-button-blue-button
1•tosh•43m ago•0 comments

ABG – An Online Bioinformatics Lab

https://abg-discord.vercel.app/
1•jeremykalfus•46m ago•0 comments

'FOMO has proven a stronger incentive than poor stock performance' Goldman Sachs

https://fortune.com/2026/05/06/is-ai-a-bubble-goldman-sachs-skeptics-overhyped/
3•1vuio0pswjnm7•47m ago•0 comments

Europe Tech Tools

1•RickyFarmer•48m ago•1 comments

Prompt API: No web standard should require users to agree an ads company's TOC

https://wil.to/posts/googles-prompt-api/
1•maxloh•49m ago•0 comments

GitHub outage: CCR and CCA failing to start for PR comments

https://www.githubstatus.com/incidents/qp0lxr014sw8
5•paulannesley•50m ago•5 comments

ZAYA1-8B: Frontier intelligence density, trained on AMD

https://www.zyphra.com/post/zaya1-8b
3•armcat•51m ago•0 comments

Russia's top secret spy school teaching hacking and election meddling

https://www.theguardian.com/world/2026/may/07/revealed-russia-top-secret-spy-school-hacking-weste...
8•svenfaw•52m ago•0 comments

Gephi 0.11 is out: performance improvements

https://gephi.wordpress.com/2026/05/05/gephi-0-11-major-performance-upgrade-and-new-features/
2•seinecle•54m ago•0 comments

The boring way to build a startup

https://plausible.io/blog/ignore-startup-advice
1•tjek•58m ago•2 comments

Openrouter SDK for Elixir

https://hex.pm/packages/openrouter_sdk
4•ThatDumbGirl•59m ago•0 comments

Blink – AI Assistant. A knowledge destination

https://blink-oi.vercel.app
1•Pascal1997•1h ago•0 comments

Citadel Securities: Why C++ wins in finance [video]

https://www.youtube.com/watch?v=InLxLEqg_fs
1•vincentchau•1h ago•0 comments

Open weights are quietly closing up – and that's a problem

https://martinalderson.com/posts/open-weights-are-quietly-closing-up/
1•signa11•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?