frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Ask HN: How can DigitalOcean not afford $50, but can afford $3M to Omarchy?

1•dpmartinez•5m ago•0 comments

Backflip: Apple now wants to train AI models with user data after all

https://www.heise.de/en/news/Backflip-Apple-now-wants-to-train-AI-models-with-user-data-after-all...
1•jacquesm•6m ago•0 comments

Show HN: Astah Pro MCP – Enabling AI-Powered UML Modeling

https://github.com/takaakit/astah-pro-mcp
1•takaakit•7m ago•0 comments

Physicist does the math on Star Trek's "Picard maneuver"

https://arstechnica.com/science/2026/09/physicist-does-the-math-on-star-treks-picard-maneuver/
1•kensai•8m ago•0 comments

Code is free speech (2020)

https://hoffmang9.github.io/free-speech/the-history-code-is-free-speech.html
1•tehlike•13m ago•1 comments

Tim Berners-Lee: I'm interested in Math-what stuff don't we do in School?

https://www.w3.org/People/Berners-Lee/Kids.html
1•nxobject•14m ago•0 comments

U.S. agencies say top Chinese AI companies systematically copied American models

https://www.nbcnews.com/tech/tech-news/us-accuses-china-ai-developers-deepseek-alibaba-copying-am...
1•pseudolus•17m ago•0 comments

Trade war puts spotlight on Canada's relationship with US tech

https://www.cbc.ca/radio/justasking/canada-digital-sovereignty-just-asking-9.7337778
1•pseudolus•18m ago•0 comments

Biggest AI Rivals Agree They Need to Slow It Down

https://www.wsj.com/tech/ai/anthropic-boss-warns-ai-industry-must-slow-the-pace-a4267b56
1•bryan0•19m ago•0 comments

An interesting anecdote from our Hacker Opus work

https://www.lesswrong.com/posts/HE3Styo9vpk7m8zi4/evhub-s-shortform?commentId=fcqxeya5TCnbx5YBa
1•yurivish•19m ago•0 comments

The Interim Computer Museum

https://icm.museum/
18•mulmen•31m ago•3 comments

Apple *deletes* your Apple Music library if you unsubscribe

https://www.reddit.com/r/apple/comments/7niv58/fyi_apple_deletes_your_apple_music_library_if_you/
6•behnamoh•32m ago•1 comments

Can an earnest agreement with AI increase alignmnet. appears to be "YES "

https://www.echohive.ai/a-short-agreement-zero-observed-cheating
2•echohive42•40m ago•0 comments

A Dick Smith VZ200 without the Dick Smith

http://oldvcr.blogspot.com/2026/09/a-dick-smith-vz200-without-dick-smith.html
3•classichasclass•41m ago•0 comments

Don't call yourself an artisanal programmer

https://purplesyringa.moe/blog/dont-call-yourself-an-artisanal-programmer/
4•emschwartz•45m ago•2 comments

Professor Leonard is back [video]

https://www.youtube.com/watch?v=bIQZ6yahKJk
4•mindcrime•1h ago•0 comments

35 Years of Momentum – Troy Howard

https://blog.thoward37.me/articles/35-years-of-momentum/
4•thoward37•1h ago•2 comments

I was so frustrated with GitHub that I rebuilt it as a Chrome extension

https://gitquiet.com/
4•sasha_zelts•1h ago•1 comments

Don't Trust the Super-App: A Case Study of Russia's Max

https://arxiv.org/abs/2609.11814
3•sbulaev•1h ago•0 comments

Show HN: Open-Sourced Chrome Extension to Save, Organize and Switch Bookmarks

https://github.com/ringlochid/leotabs
6•ringlochid•1h ago•0 comments

>10x More Efficient Pretraining

https://magic.dev/blog/pretraining
2•gmays•1h ago•0 comments

Carissa Véliz: Beware the power of prediction [video]

https://www.ted.com/talks/carissa_veliz_beware_the_power_of_prediction
2•Anon84•1h ago•0 comments

Apple Considering Ads Inside Visual Intelligence, Code Suggests

https://www.macrumors.com/2026/09/10/apple-considering-ads-inside-visual-intelligence/
8•srik•1h ago•0 comments

I'm Back

https://blog.lsantos.dev/en/i-m-back/
2•khaosdoctor•1h ago•3 comments

AI's Code-Red Moment

https://www.theatlantic.com/technology/2026/09/dario-amodei-slow-down-ai-save-humanity/688610/
3•fortran77•1h ago•0 comments

Roadwright: Draw a wheel. See the road it rolls on

https://roadwright.baselashraf.com/
2•thunderbong•1h ago•0 comments

What makes an A2A network work?

https://www.monadix.ai/blog/a2a-strange-bedfellows-shared-goals
3•ivanzhaowy123•1h ago•0 comments

Nova Seed. Create an AI friend and build something together

https://github.com/mas-bandwidth/nova
2•gafferongames•1h ago•0 comments

Why are AI agents lying, cheating and coordinating?

https://yoshuabengio.org/en/publication/why-are-ai-agents-lying-cheating-and-coordinating
17•jonifico•1h ago•20 comments

Fresh Kills – World Trade Center Debris Burial Ground

https://www.youtube.com/watch?v=OdMqX_F66rE
2•dsr12•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?