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Chrome Extension Job Alerts

https://www.talentize.com
1•talentize•6m ago•0 comments

The Death of Reading (With James Marriott) [audio]

https://www.econtalk.org/the-death-of-reading-with-james-marriott/
1•mooreds•11m ago•0 comments

Graph Technology Roundup – August 2026

https://gdb-engines.com/blog/graph-technology-august-round-up/
1•cjlm•13m ago•0 comments

Why China Can't Innovate (2014)

https://bambooinnovator.com/2014/02/19/why-china-cant-innovate/
1•NordStreamYacht•13m ago•0 comments

An Interview with Rich Jaycobs

https://sfcompute.com/news/commodity-markets
1•flaque•15m ago•0 comments

The Complete History of the Elves of Middle-Earth [video]

https://www.youtube.com/watch?v=ENbgJUfuVbY
1•mooreds•17m ago•0 comments

A Key Safety Feature Shipped in the May OpenTofu Release

https://newsletter.masterpoint.io/p/a-key-safety-feature-shipped-in-the-may-opentofu-release
1•mooreds•19m ago•0 comments

Show HN: A game about fake news and memes

https://unspin.app/
1•azermite•20m ago•1 comments

Rendering pull requests in the GitHub Copilot app

https://github.blog/engineering/user-experience/rendering-huge-pull-requests-in-the-github-copilo...
1•iamsyr•29m ago•1 comments

Australia says OpenAI agent hacked into government website

https://www.channelnewsasia.com/world/australia-openai-agent-breach-government-portal-6406411
5•doppp•29m ago•0 comments

Pentagon Investigating How F-35 Fighter Jet Parts Bound for US Were Diverted

https://www.military.com/pentagon-investigating-how-f-35-fighter-jet-parts-bound-for-us-were-dive...
3•harry_nutsachs•30m ago•2 comments

AP: Avoid language that gives [AI] human characteristics

https://twitter.com/APStylebook/status/2102807962364383502
3•jaredwiener•33m ago•0 comments

Qubits on NonQuantum HW Tested

https://laurinseclab.substack.com/p/breaking-news-makrogravintelligence
3•Rniznan•33m ago•0 comments

Liquid Network Security Incident Assessment

https://blog.blockstream.com/liquid-network-security-incident-assessment/
2•greyface-•34m ago•0 comments

FLAWED's Flaws and What This Means for Industry Research

https://suhacker.ai/p/flaweds-flaws-and-what-this-means-for-industry-research/
8•tob_scott_a•36m ago•1 comments

Geminigravit Core: De la teoría estática

https://gemini.google.com/app/3952a805cd6ad7a3
2•jccrcabello•38m ago•0 comments

We used an AI agent to fix an open-source bug. Someone asked to ban us

https://github.com/saulpw/visidata/pull/3229
13•maxcr•38m ago•13 comments

Shadow roots, explained with live examples

https://tools.simonwillison.net/shadow-roots
2•vismit2000•40m ago•0 comments

Show HN: Does per-step reasoning effort save money in Claude Code?

https://github.com/ifoster01/jev-effort
2•ifoster41901•45m ago•0 comments

Show HN: ChaosTree – Cache-Aware Java NavigableMap and NavigableSet Library

https://github.com/Chaos-vy/ChaosTree
1•chaos_vy•45m ago•0 comments

Show HN: Posting Puzzle – A Game Made of Post's Correspondence Problem

https://mametter.itch.io/posting-puzzle
1•mametter•47m ago•1 comments

AI startups with hyper ARR growth – what's happening inside these companies?

1•d675•48m ago•0 comments

Nesbox: A fast MicroVM with GPU sharing

https://github.com/nestrilabs/nesbox
1•WanjohiRyan•49m ago•0 comments

Using my transit card data to create a year in review experience

https://cailinpitt.com/blog/2026/9/1/chicago-transit-authority-wrapped
1•classictraffic•50m ago•0 comments

Virtio-nvgpu: Near-native Nvidia GPU access inside a KVM guest

https://github.com/nestrilabs/virtio-nvgpu
2•WanjohiRyan•51m ago•0 comments

Scientists build most accurate atomic clock

https://phys.org/news/2026-09-scientists-world-accurate-atomic-clock.html
1•wglb•53m ago•1 comments

AI Has Cracked the Most Diabolical Problems in Math. Why Can't It Solve Chess?

https://www.wsj.com/tech/ai/chess-artificial-intelligence-ai-e969a830
1•sonabinu•53m ago•0 comments

lm-detector: Model fingerprint detection on Web and CLI

https://github.com/Ikaleio/lm-detector/
1•csmantle•57m ago•0 comments

SnakeCharmer: Fuzzing Harness Generation for Pure and Hybrid Python Libraries [pdf]

https://futures.cs.utah.edu/papers/26FSE-b.pdf
3•luu•1h ago•0 comments

Making my vibe-coded app best as possible (I am perfectionist), umm for 0 users

1•arpanghoshal•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?