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Ask HN: Are we ready for vulnerabilities to be words instead of code?

1•lielcohen•1m ago•0 comments

The True Cost of Grade Inflation at Harvard

https://www.harvardmagazine.com/university-news/harvard-grade-inflation-faculty-marks
1•Bostonian•1m ago•0 comments

If you ever mention AI again, I'll

https://ludic.mataroa.blog/blog/i-will-fucking-piledrive-you-if-you-mention-ai-again/
2•pixxa•1m ago•0 comments

The use of AI in writing is perfectly fine

https://greyenlightenment.com/2026/03/16/no-matt-walsh-the-use-of-ai-in-writing-is-perfectly-fine/
1•paulpauper•1m ago•0 comments

Vercel will now use code from Hobby plans for AI training by default

https://vercel.com/changelog/updates-to-terms-of-service-march-2026
1•bstsb•3m ago•0 comments

Show HN: Untitled88 – Query your QuickBooks data in plain English

https://www.untitled88.com/integrations/quickbooks
1•hagay3•4m ago•0 comments

How China is getting everyone on OpenClaw, from gearheads to grandmas

https://www.cnbc.com/2026/03/18/china-openclaw-baidu-tencent-ai.html
1•copx•5m ago•0 comments

EsoLang-Bench: Evaluating Genuine Reasoning in LLMs via Esoteric Languages

https://esolang-bench.vercel.app/
4•matt_d•7m ago•0 comments

Meta is killing off the metaverse. It lost $80B

https://qz.com/meta-metaverse-mark-zuckerberg-horizon-worlds-ai
1•raajg•11m ago•0 comments

Show HN: We Built Kaggle for AI Agents

https://hive.rllm-project.com/
2•deviscold•13m ago•0 comments

GrapheneOS: Duress Pin/Password

https://grapheneos.org/features
2•davikr•14m ago•0 comments

Show HN: Just Built an AI Notetaker (Web, iOS and Android)

1•tommat32•15m ago•0 comments

Trump has choked off Cuba's oil supply. China is stepping in with solar

https://www.washingtonpost.com/world/2026/02/28/china-cuba-solar-trump-oil-blockade/
2•toomuchtodo•16m ago•1 comments

How did Anthropic do it?

https://ramp.com/velocity/ai-index-march-2026
2•gmays•17m ago•0 comments

The Inverse Cognitive Maneuver: Team size as product strategy

https://mooracle.io/blog/inverse-cognitive-maneuver/
1•mooracle•18m ago•1 comments

Speed-Of-Light ExecBench: A benchmark of real-world DL kernel problems

https://github.com/nvidia/sol-execbench
1•matt_d•19m ago•0 comments

Show HN: SomaOS – rebuilding the desktop so AI is native to it, not bolted on

https://github.com/avsribhas-svg/SomaOS
1•abhisribhas•21m ago•0 comments

I Hope You Don't Use Generative AI

https://rmv.fyi/notes/i-hope-you-don-t-use-generative-ai
2•theshrike79•22m ago•0 comments

Toolbench for MCP

https://www.arcade.dev/blog/introducing-toolbench-quality-benchmark-mcp-servers/
2•gnanagurusrgs•23m ago•1 comments

Why Headcount Math Lies

https://yusufaytas.com/why-headcount-math-lies/
5•yusufaytas•23m ago•0 comments

Hiring AI-First Engineers

https://chbigelow.com/blog/hiring-ai-first-engineers/
2•chrisbigelow•24m ago•0 comments

White House registers new 'alien'-related .gov domains as DoD tackles directive

https://defensescoop.com/2026/03/18/white-house-registers-new-alien-gov-domains-ufo-uap/
2•petethomas•25m ago•0 comments

Show HN: Blik360 – open-source 360 feedback (self-host alternative to Lattice)

https://www.blik360.com/
2•0xffeedd•26m ago•0 comments

Free Amazon invoice converter to excel

https://amazoninvoicetoexcel.com/
2•bigCourage•26m ago•0 comments

AI – Assassinating Intelligence

https://yashgarg.dev/posts/ai-slop/
3•birdculture•31m ago•0 comments

Ask HN: Are the newest LLMs better than you at programming?

2•par1970•31m ago•5 comments

DeepL is shifting to AWS for processing

https://old.reddit.com/r/BuyFromEU/comments/1ry1irp/deepl_is_shifting_to_aws_for_processing/
2•doener•32m ago•0 comments

On Hair as Memento Mori

https://www.fantasticanachronism.com/p/on-hair-as-memento-mori
2•jger15•32m ago•0 comments

Microsoft (?) sending false "your storage is almost full" warnings

https://learn.microsoft.com/en-us/answers/questions/5826584/is-this-microsoft-notification-email-...
2•ThoAppelsin•32m ago•1 comments

We Made Haiku as Good as Opus. Improving Claude Code with Codeset

https://codeset.ai/blog/improving-claude-code-with-codeset
2•andre15silva•34m ago•0 comments
Open in hackernews

Packed Data Support in Haskell

https://arthi-chaud.github.io/posts/packed/
77•matt_d•10mo ago

Comments

nine_k•10mo 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•10mo ago
We are always reinventing wheels. If we didn't, they'd all still be made of wood.
Zolomon•10mo ago
They mention this in the article.
spockz•10mo ago
It reminds me more of flat buffers though. Does protobuf also have zero allocation (beyond initial ingestion) and no pointer jumps?
cstrahan•10mo ago
No, one example of why being variable sized integers.

See https://protobuf.dev/programming-guides/encoding/

carterschonwald•10mo ago
One thing that sometimes gets tricky in these things is handling Sub term sharing. I wonder how they implemented it.
tlb•10mo 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•10mo 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•10mo 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•10mo ago
honestly i wish more stuff worked this way - fewer hops in memory always makes me happy
lordleft•10mo ago
This was very well written. Excellent article!
NetOpWibby•10mo ago
Is this like MessagePack for Haskell?