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Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
1•myk-e•1m ago•0 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•2m ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
1•1vuio0pswjnm7•4m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
1•1vuio0pswjnm7•6m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•7m ago•0 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•10m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•15m ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•17m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•20m ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•32m ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•34m ago•0 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•35m ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•48m ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•51m ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•53m ago•0 comments

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•1h ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•1h ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•1h ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•1h ago•0 comments

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
2•basilikum•1h ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•1h ago•1 comments

NASA now allowing astronauts to bring their smartphones on space missions

https://twitter.com/NASAAdmin/status/2019259382962307393
2•gbugniot•1h ago•0 comments

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
3•throwaw12•1h ago•2 comments

Show HN: MicroClaw – Agentic AI Assistant for Telegram, Built in Rust

https://github.com/microclaw/microclaw
1•everettjf•1h ago•2 comments

Show HN: Omni-BLAS – 4x faster matrix multiplication via Monte Carlo sampling

https://github.com/AleatorAI/OMNI-BLAS
1•LowSpecEng•1h ago•1 comments

The AI-Ready Software Developer: Conclusion – Same Game, Different Dice

https://codemanship.wordpress.com/2026/01/05/the-ai-ready-software-developer-conclusion-same-game...
1•lifeisstillgood•1h ago•0 comments

AI Agent Automates Google Stock Analysis from Financial Reports

https://pardusai.org/view/54c6646b9e273bbe103b76256a91a7f30da624062a8a6eeb16febfe403efd078
1•JasonHEIN•1h ago•0 comments

Voxtral Realtime 4B Pure C Implementation

https://github.com/antirez/voxtral.c
2•andreabat•1h ago•1 comments

I Was Trapped in Chinese Mafia Crypto Slavery [video]

https://www.youtube.com/watch?v=zOcNaWmmn0A
2•mgh2•1h ago•1 comments

U.S. CBP Reported Employee Arrests (FY2020 – FYTD)

https://www.cbp.gov/newsroom/stats/reported-employee-arrests
1•ludicrousdispla•1h ago•0 comments
Open in hackernews

An MVCC-like columnar table on S3 with constant-time deletes

https://www.shayon.dev/post/2025/277/an-mvcc-like-columnar-table-on-s3-with-constant-time-deletes/
20•shayonj•4mo ago

Comments

ohnoesjmr•4mo ago
The sequence diagram seems to have a mistake, the second writer somehow seems to know to create v124, only having observed v122.
deepsun•4mo ago
Fun fact -- try to search for "124" there.

For some reason they thought hard-positioned top-to-bottom SVG is somehow better than adding "white-space: pre" once in CSS ¯\_(ツ)_/¯

shayonj•4mo ago
Thanks! looks like i messed up some css on my last frontend refresh a bit.
deepsun•4mo ago
Wow fast, now it's much better!
codedokode•4mo ago
S3 is a HTTP API, does it mean that this database would be very slow? Especially if they use immutability and create copies of large files?
shayonj•4mo ago
Yeah, it mentions in few areas - compared to OLTP or similar workloads, this will definitely be slow
DenisM•4mo ago
I still don’t see how this is different from iceberg? You don’t need a catalog to use it, atomic replace of metadata.json plus deletion vectors seems to be exactly the same thing.
akdor1154•4mo ago
I know Iceberg has this same issue, but you state deletion in this way (recording tombstones) is sufficient for GDPR compliance - but is it really? The 'deleted' data is still trivially readable.
hodgesrm•4mo ago
It's OK provided there's a garbage collection procedure. But the write-up seems to regard this as optional.

> Deletes accumulate in tombstone files over time. Eventually we would want to coalesce 100 small tombstone files into one and /or rewrite data files if a row group has >50% rows deleted, resulting in further compaction.

The bigger problem for me is that tombstones that remove rows can make reads quite inefficient because they reduce the usefulness of min-max and bloom filter indexes. It can also affect vectorized query if you have to apply predicates within row groups. Finally there are degenerate cases where the tombstones would be bigger than the compressed columns themselves.

Any assertion that this would be performant needs to be backed up by code. ClickHouse took many years to implement so-called lightweight deletes. It's a hard problem to solve in a performant way.

jerrysievert•4mo ago
given that it’s parquet, deletes are nice, but what about inserts?