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Monzo wrongly denied refunds to fraud and scam victims

https://www.theguardian.com/money/2026/feb/07/monzo-natwest-hsbc-refunds-fraud-scam-fos-ombudsman
1•tablets•2m ago•0 comments

They were drawn to Korea with dreams of K-pop stardom – but then let down

https://www.bbc.com/news/articles/cvgnq9rwyqno
1•breve•4m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•6m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
1•pastage•6m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
1•billiob•7m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
1•birdculture•13m ago•0 comments

Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•18m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•20m ago•1 comments

Slop News - HN front page right now hallucinated as 100% AI SLOP

https://slop-news.pages.dev/slop-news
1•keepamovin•24m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•26m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
2•tosh•32m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
3•oxxoxoxooo•36m ago•1 comments

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

2•InvoxoEU•36m 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•40m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•41m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•43m 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•45m 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
3•myk-e•48m ago•5 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•49m 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
4•1vuio0pswjnm7•51m 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•53m ago•0 comments

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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•55m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•57m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

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

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

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

Now send your marketing campaigns directly from ChatGPT

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

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

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

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

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

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

https://www.haniri.com
1•donangrey•1h 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
Open in hackernews

Is a Smaller Internet Better?

3•sawyersweet•9mo ago
I did a thought experiment. The full experiment is at bottom. Here’s the core:

How can you build a website that doesn't host code, just instructions on how to find it.

If you're a seasoned dev, the answer is obvious, it's instructions all the way down. That is why we have JS, go, rust.

Information transmission is extremely important.

Apps on your phone, like Facebook, allow the company to serve the entire website with the UI kit and logic on your phone, and the UGC (text and images) served from FB, drastically cutting down the amount of info they have to send over the server. It's a huge cost cutting manoeuvre for them to serve smaller server responses to billions of daily users who are accessing new content every second.

“Serverless” deployment where you host and serve content and instructions, and the app on the users phone is what does all the logic is essentially the idea behind the fediverse.

There's often a push from business to make things bigger and cooler, and then when they slow things down, to make them faster.

But IMO the transformative "magic" concept is just making things less reliant on infrastructure. Sometimes I want to talk to my friends in person.

I’m really curious to know what is going on in this sector and what people think about it.

THOUGHT EXPERIMENT

Build a compiler that takes a line of instructions that tells the client how to search through the web for snippets to compile the DOM.

Here are some issues

Problem 1: Instructions It's essentially a compression problem. Every pathway to efficient compute can end up here. What is the most efficient way to write a piece of code. Then what is the most efficient way to store it. Can a single byte of code spring into 1000 different algorithms. Mathematically, I'm skeptical. A short int is 2 bytes, so getting below 1 "instruction set" per bit is tough.

Problem 2: Searching How do you know where to look in a way that results in fast code

Problem 3: Uniqueness How do you know, in a practically infinite internet, whether something is unique or not?

Problem 4: Searching Okay so you have your super compression Algo that can take a Blue sky string of hexcode and spit out a viable set of search instructions to an interpreter, that can then be found and expand into an even larger website.

How do you find it? If you aren’t rate-limited by search engines for hammering their sites for little pieces of code, you have to do a bunch of expensive, time intensive search.

Ping the server, go to the address, search the dom. Return pass or fail. Keep going.

You can "fix" for this by having some sort of Borges infinite library that you can search through.

Real use case: Stick instructions on a QR code, scan with your phone, load a website that is not hosted on a server, but instead fed directly to your phone by the code. ??? Profit

Result: There are better ways to achieve the above use case. Compress a website into a few pages of QR codes, make a video that can wipe across them and load it.

Information transmission and storage.

If you lean too heavily into efficiency, you shoot yourself in the foot because efficiency borrows from other systems.

The USDOT does repair to upgrade. Standards are rolled out as fast as things break. Things are constantly breaking, so things are constantly getting upgraded.

This speaks to the difficulty to which propagating new changes is really hard.

Information and transmission aren't free. Philosophically yes, but materially, it’s expensive.

You have to get into the nitty gritty of developing not just languages, but entire storage, transport, distribution systems of information. Like any "globally perfect" system, it's a network of different players all at cross purposes, designing different standards for each other.

So here we are, back where we started, with an extra iota of clarity.