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Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•59s ago•0 comments

Life at the Edge

https://asadk.com/p/edge
1•tosh•6m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
2•oxxoxoxooo•10m ago•1 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•10m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
2•goranmoomin•14m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•15m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•17m ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•20m ago•0 comments

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
2•myk-e•22m ago•3 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•23m 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
3•1vuio0pswjnm7•25m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
2•1vuio0pswjnm7•27m ago•0 comments

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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•29m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•31m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•36m ago•0 comments

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

https://api-production-caa8.up.railway.app/docs
1•lembergs•38m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•41m ago•1 comments

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

https://github.com/joelparkerhenderson/queueing-theory
1•jph•53m ago•0 comments

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

https://hibanaworks.dev/
5•o8vm•55m ago•1 comments

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

https://www.haniri.com
1•donangrey•56m 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•1h ago•0 comments

Atlas: Manage your database schema as code

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

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•1h 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
Open in hackernews

Ask HN: Do coding assistants "see" attached images?

3•cryptography•4mo ago
I've been using Cursor and I'm genuinely curious about something.

When you paste a screenshot of a broken UI and it immediately spots the misaligned div or padding issue—is it actually doing visual analysis, or just pattern-matching against common UI bugs from training data?

The speed feels almost too fast for real vision processing. And it seems to understand spatial relationships and layout in a way that feels different from just describing an image.

Are these tools using standard vision models or is there preprocessing? How much comes from the image vs. surrounding code context?

Anyone know the technical details of what's actually happening under the hood?

Comments

yawpitch•4mo ago
They’re closed source black boxes, not even the people who built them really know what’s happening under the hood.

That said, one can reasonably infer that an LLM-based system isn’t doing any form of visual processing at all… it’s just looking at your HTML and CSS and flagging where it diverts from the statistical mean of all such structures in the training data (modulo some stochastic wandering and that it may, somehow, have mixed some measure of Rick Astley or Goatse into its multidimensional lookup table).

chistev•4mo ago
> They’re closed source black boxes, not even the people who built them really know what’s happening under the hood.

Please explain

iswapna_•4mo ago
LLMs are trained to predict a bunch of tokens (GenAI produces text) from all the previous seen tokens, based on the data it was trained on. It does not understand anything about the spatial relationships like lines, objects etc in an image. "Not even the people who built them" - We have no real understanding of how LLMs work, yet. Traditional ML theory (classification/regression/clustering) largely does not apply to LLM's emergent capabilities like coding, arithmetic and reasoning. No such theory exists today. People are trying.
chistev•4mo ago
If I understand you, you're saying people how built them have no idea why they work?
muzani•4mo ago
Yup, it's emergent behavior. This has been going for a while in ML, I believe. To be fair, we know how brains work, but we don't understand why consciousness either.
yawpitch•4mo ago
To be truly fair, we barely know how flatworm and fruit fly brains work… we haven’t the slightest clue how human brains work. Understanding consciousness is a long way off.
iswapna_•4mo ago
:) yea and here we are talking abut UPI
yawpitch•4mo ago
Imagine an equation several miles long, comprised of billions of variables, billions of constants, and billions of exponents.

You know none of the variables. None of the constants. None of the exponents. No one does, really, but even if you did it wouldn’t help, because no one bothered to write down the operators and the parentheses are randomly shifted around every time the equation is resolved.

All you know is that if you ask it for tea, it will always, invariably, and forever, give you back something that is almost, but not quite entirely, unlike tea. Sometimes it might be more unlike coffee, some times more unlike vodka and cow urine.

What you’ll never, ever, ever reliably know is what’s in the cup.

That’s about the best way I know to explain black box abstractions. In a few decades we might have a workable theory as to why these things function, to the degree that they do, though I’ll bet a rather large amount of money that we won’t.

gdsys•4mo ago
Have you tried asking one?

Claude gives what seems to be a reasonable answer.

https://www.perplexity.ai/search/how-do-ai-coding-assistants...

AznHisoka•4mo ago
Thats not Claude…
pmxi•4mo ago
You can select models on Perplexity. He used Sonnet 4.5 Thinking
gdsys•3mo ago
It is Claude. Via Perplexity.