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How to Build an ML Framework in Rust, from Scratch, in a Weekend

https://www.erikkaum.com/blog/zml/index.html
1•tosh•1m ago•0 comments

NASA Says Farewell to Maven Mars Mission

https://www.nasa.gov/news-release/nasa-says-farewell-to-maven-mars-mission-hosts-media-call-today/
1•ironyman•2m ago•0 comments

Why open standards matter for AI infrastructure

https://openenvelope.org/writing/open-standards-ai-infrastructure/
1•ashconway•2m ago•0 comments

Compiling Zig to RISC-V

https://www.erikkaum.com/blog/advent-05/index.html
1•tosh•4m ago•0 comments

Counterfeit G.Skill and V-Color DDR5 modules hit Chinese marketplaces

https://www.tomshardware.com/pc-components/dram/counterfeit-g-skill-and-v-color-ddr5-modules-hit-...
1•speckx•4m ago•0 comments

The Public Should Own Half of the Big A.I. Companies

https://www.sanders.senate.gov/op-eds/the-public-should-own-half-of-the-big-a-i-companies/
2•droidjj•5m ago•0 comments

If AI Data Centers Are So Great, Why Are They Being Built in Secret?

https://www.thebrockovichreport.com/p/if-data-centers-are-so-great-why
2•thisislife2•6m ago•0 comments

Overwhelmed by AI Cost Management? The Tokenomics Foundation Can Help

https://techstrong.ai/articles/overwhelmed-by-ai-cost-management-the-tokenomics-foundation-can-help/
1•CrankyBear•7m ago•0 comments

An Audience of One

https://generativead.bearblog.dev
1•GlowingFern•7m ago•0 comments

Marcia Lucas, Oscar-Winning Editor Behind 'Star Wars,' Dies at 80

https://www.hollywoodreporter.com/movies/movie-news/marcia-lucas-dead-star-wars-george-lucas-1236...
2•bookofjoe•8m ago•2 comments

Google AI Edge Eloquent

https://ai.google.dev/edge/eloquent
1•xyzzy_plugh•11m ago•1 comments

Update on supply chain compromise of Red Hat cloud-services NPM packages

https://access.redhat.com/security/vulnerabilities/RHSB-2026-006
1•dralley•11m ago•0 comments

Vintage "Greetings From " postcards production design notes

https://bethmathews.substack.com/p/the-found-production-design-notes
1•thebent•11m ago•0 comments

Angular v22

https://blog.angular.dev/announcing-angular-v22-c52bb83a4664
2•Klaster_1•12m ago•0 comments

The War on Waymo

https://www.profgmedia.com/p/the-war-on-waymo
2•JumpCrisscross•12m ago•0 comments

Strengthening Europe's Tech Sovereignty

https://digital-strategy.ec.europa.eu/en/policies/eu-tech-sovereignty
2•robalni•14m ago•0 comments

Dismay as Trump officials to dismantle key ocean monitoring system

https://www.theguardian.com/environment/2026/jun/02/trump-administration-ocean-observatories-init...
5•ndsipa_pomu•16m ago•0 comments

Show HN: Capture, compress, and copy screenshots to clipboard

https://github.com/sauravtom/Screenshot2Clipboard
1•sauravt•17m ago•0 comments

Can LLMs Reason Structurally? Benchmarking via the Lens of Data Structures

https://arxiv.org/abs/2505.24069
1•matt_d•19m ago•0 comments

NanoLog – A <17KB Shadow DOM widget for changelogs and roadmaps

https://www.nanolog.dev/
1•ahm-labs•22m ago•0 comments

Show HN: Rscrypto, pure-Rust crypto with industry leading public benches

https://github.com/loadingalias/rscrypto
2•LoadingALIAS•22m ago•1 comments

EWD 1041: By Way of Introduction (Science is hated)

https://www.cs.utexas.edu/~EWD/transcriptions/EWD10xx/EWD1041.html
1•ethanwillis•22m ago•0 comments

Ideogram 4.0: A 9.3B open-weight image model

https://ideogram.ai/blog/ideogram-4.0/
1•victormustar•23m ago•0 comments

Rebuilding Postgres Metrics on Self-Hosted VictoriaMetrics with Zero Downtime

https://xata.io/blog/how-we-rebuilt-postgresql-branch-metrics-on-victoriametrics-per-cell
1•ClaudiuDasca•23m ago•0 comments

Google Expands AirDrop Support to More Android Phones

https://www.macrumors.com/2026/06/02/google-airdrop-support-more-android-phones/
1•tosh•24m ago•0 comments

A company didn't spend $500M on Claude in a month

https://stax.sh/articles/500-million-claude-bill
1•Topfi•26m ago•1 comments

$3.6M an Hour–and Other Ways to Measure Elon Musk's Fortune

https://www.wsj.com/tech/3-6-million-an-hourand-other-ways-to-measure-elon-musks-fortune-04e590a5
3•fortran77•26m ago•1 comments

Inteligencia

https://www.bing.com/search?qs=AS&pq=tra&sk=CSYN1&sc=14-3&pglt=299&q=traductor&cvid=d442becfe57f4...
1•BedoyaDC•26m ago•0 comments

Designing a terminal for listening instead of scanning

https://derekriemer.com/posts/2026/03/15/designing-a-terminal-for-an-audio-first-workflow/
1•blindprototypes•26m ago•0 comments

Resolving Feynman's Restaurant Problem

https://www.pnas.org/doi/full/10.1073/pnas.2509612123
1•FergusArgyll•27m 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?