frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

A Scorecard for the AI Age

https://openai.com/index/a-scorecard-for-the-ai-age/
1•yruzin•45s ago•0 comments

RDMA in gVisor: A Deep Dive into GPU Networking

https://atoniolo76.github.io/writing/post/rdma-in-gvisor
3•atoniolo76•6m ago•0 comments

Texas Court Orders Adult Site Domain Locked for AV Violations

https://www.xbiz.com/news/299218/texas-court-orders-adult-site-domain-locked-for-av-violations
1•us0r•7m ago•1 comments

Does operational privacy guidance change code generated by Qwen?

https://github.com/broodingGoat/qwen-privacy-codegen-pilot
1•sushaantmujoo•13m ago•0 comments

Northwestern's Phantom Twist spins at 1,500 RPM to evade human vision

https://runtimewire.com/article/northwestern-phantom-twist-drone-1500-rpm-motion-blur
3•ryanmerket•14m ago•0 comments

Continuous Contact (2005)

http://k-punk.abstractdynamics.org/archives/004826.html
2•DiscourseFan•19m ago•0 comments

Compiled List of over $1000 in AI/GPU/LLM Credits (100% Free)

https://sairc.vercel.app/resources
1•imranmk•23m ago•0 comments

How Claude can do your shopping

https://andrewacomb.substack.com/p/buying-screws-with-http-402
1•acombandrew•23m ago•0 comments

Majorana: "Microsoft's topological qubit is real"

https://dotient.com/blog/microsoft-majorana-particle
1•localdeclan•25m ago•0 comments

TSMC is accelerating Arizona factory buildout to capitalize on AI 'megatrend'

https://www.cnbc.com/2026/07/20/tsmc-arizona-fab-capacity-ai-chip-demand.html
2•ekorbia•28m ago•0 comments

Asymptote

https://asymptote.ualberta.ca/
3•joebig•31m ago•0 comments

The entropy tax: Why true randomness costs so much

https://psyll.com/articles/technology/cybersecurity/the-entropy-tax-why-true-randomness-costs-so-...
2•iamnow1982•31m ago•0 comments

The biggest winners of the American economy fear they're sinking fast

https://www.washingtonpost.com/technology/2026/07/19/tech-has-never-been-richer-its-workers-have-...
3•sseagull•32m ago•1 comments

Cut the number of choices you make each day; Your brain will thank you

https://apnews.com/article/too-many-choices-making-decisions-8ae0bfaac1d51cc5fc7b2e59336ff0dd
3•1659447091•34m ago•0 comments

Kevin O'Leary's view on AI is interesting, 9 minute video [video]

https://www.youtube.com/watch?v=PHhLhL1GIac
1•theMezz•36m ago•1 comments

Impro is a handbook for running a cult

https://www.seangoedecke.com/impro/
2•zdw•38m ago•0 comments

A Brief History of Computing

https://jasoneckert.github.io/myblog/a-brief-history-of-computing/
2•jasoneckert•41m ago•1 comments

Who's responsible for bug reports on old software versions?

https://pointieststick.com/2026/07/19/whos-responsible-for-bug-reports-on-old-software-versions/
1•zdw•43m ago•0 comments

What Bad Bases Are Good For

https://mathenchant.wordpress.com/2026/07/19/what-bad-bases-are-good-for/
2•jamespropp•43m ago•0 comments

FileVault on versus Off on Apple Silicon Macs

https://derflounder.wordpress.com/2026/07/18/filevault-on-versus-off-on-apple-silicon-macs/
2•zdw•44m ago•0 comments

Show HN: Deploy AI agent in 5 lines of code

https://www.custodianlabs.io
1•sherryf123•47m ago•1 comments

Trump to fund MAGA-aligned projects in Europe as he reorders US aid

https://www.ft.com/content/1cb986a4-2428-4e64-a559-7867cfa1a3e3
3•petethomas•48m ago•0 comments

Haunt 0.4.0 Released

https://git.dthompson.us/haunt/commit/?id=100da093a804f04d3b10c9db49da663f2246c446
1•birdculture•49m ago•0 comments

AI should have senior lawyers sharpening their hunting spears

https://www.ft.com/content/905e18e6-f054-4995-b5a7-0ff52a65ae57
3•petethomas•53m ago•0 comments

MSI Slyly Shows Off an Upcoming DLC AMD EPYC Venice Platform

https://www.servethehome.com/msi-slyly-shows-off-an-upcoming-dlc-amd-epyc-venice-platform-with-cd...
1•ksec•55m ago•1 comments

Pastors Using AI to Help Write Sermons Grapple with Where to Draw the Line

https://www.wsj.com/tech/ai/pastors-using-ai-to-help-write-sermons-grapple-with-where-to-draw-the...
2•bookofjoe•56m ago•3 comments

Show HN: Promptdna.org- a community library of composable prompt blocks with MCP

https://promptdna.org
1•impendingchange•57m ago•0 comments

I Read the Bonsai 27B Paper. What You Gain–and Lose–With 1-Bit Compression

https://medium.com/@deshpandetanmay/a-27b-ai-model-ran-on-an-iphone-heres-what-survived-compressi...
2•tanmaydesh5189•1h ago•0 comments

Show HN: A self-hosted AI that turns Hacker News into a daily briefing

https://github.com/RecNes/hn-ai-summarizer
1•SencerH•1h ago•0 comments

Self-evolving repo for team and coding agent collaboration

https://www.sepo.sh/
3•liangqiyao99•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?