frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Show HN: I built Divvy to split restaurant bills from a photo

https://divvyai.app/
1•pieterdy•1m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
2•Tehnix•2m ago•0 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
1•haizzz•3m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
2•Nive11•4m ago•2 comments

Tech Edge: A Living Playbook for America's Technology Long Game

https://csis-website-prod.s3.amazonaws.com/s3fs-public/2026-01/260120_EST_Tech_Edge_0.pdf?Version...
1•hunglee2•7m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
1•chartscout•10m ago•0 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
2•AlexeyBrin•13m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
1•machielrey•14m ago•1 comments

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
3•tablets•19m 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
2•breve•21m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•23m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•23m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
2•billiob•24m ago•0 comments

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

https://app.writtte.com/read/gP0H6W5
2•birdculture•30m 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•36m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•37m ago•1 comments

Slop News - HN front page right now as AI slop

https://slop-news.pages.dev/slop-news
1•keepamovin•41m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•44m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
3•tosh•49m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
4•oxxoxoxooo•53m ago•1 comments

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

2•InvoxoEU•53m 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
3•goranmoomin•57m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•58m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•1h 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•1h 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
4•myk-e•1h 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•1h 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
5•1vuio0pswjnm7•1h ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
4•1vuio0pswjnm7•1h ago•0 comments

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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•1h ago•2 comments
Open in hackernews

New theory proposes time has three dimensions, with space as a secondary effect

https://phys.org/news/2025-06-theory-dimensions-space-secondary-effect.html
11•daoboy•7mo ago

Comments

brudgers•7mo ago
Time, not space plus time, might be the single fundamental property in which all physical phenomena occur, according to a new theory by a University of Alaska Fairbanks scientist.

Time, according to Kant is the a priori condition of all inner experience. [1] I find that a more useful model, though your mileage may vary because giving up all those ding an sich's doesn't come for free. TANSTAAFL.

[1]: and space the a priori condition of all external experience.

mattlangston•7mo ago
According to the published paper (linked in the article) Kletetschka's theory correctly predicts several experimentally measured quantities of the Standard Model. The two that jumped out at me were:

1) the weak mixing angle

2) the three particle generations and the ratio of their masses

This is remarkable to me.

gus_massa•7mo ago
I think it makes no sense, but as HN discourage swallow dismissal ...

* I can't find the part about "with space as a secondary effect". Where is it? The paper just start defining everything in a space with 3 timelike and 3 spacelike dimensions.

* The easiness to test prediction is the the ratio of the masses of the three generations of particles. The paper claim they are

  m_n = m_0 exp(-α n^γ)
Then then claim something like: "1 : 4.5 : 21.0"

The formula has 3 constants to predict 3 constants. So it's possible to adjust them for each family of 3 particles. It's not clear how the constants are calculated and which constants are shared between the different families of particles.

- top/charm/up quarks: the ratios are 1 : 588 : 80186 Note that the mass of the up quarks is much smaller then 1/3 of the mass of the proton or neutron. That's standard. https://en.wikipedia.org/wiki/Up_quark#Mass These masses are very difficult to measure experimentally. The article claims 2.16 ± 0.49 MeV but from Wikipedia:

> Despite being extremely common, the bare mass of the up quark is not well determined, but probably lies between 1.8 and 3.0 MeV/c2. Lattice QCD calculations give a more precise value: 2.01±0.14 MeV/c2.

- bottom/strange/down quarks: missing(?!)

- electron/muon/tau: 1 : 206 : 3477 These values have a extremely high experimental precision. The article claims 0.5109989461 ± 0.0000000031 MeV but Wikipedia says 0.51099895069(16) MeV/c^2

- neutrinos: From the article:

> For neutrinos, this work predicts masses of 0.058 ± 0.004 eV for ν 3; 0:0086 ± 0:0003 eV for ν2, and 0:0023 ± 0:0002 eV for ν1, with mass ratios showing remarkable precision: m2/m1 = 4.5 ± 0.3 and m3/m1 = 21.0 ± 1.5.

But from the experiments we have only upper bounds of the masses. We know they have mass, but we don't know even an approximation of the value. From https://en.wikipedia.org/wiki/Neutrino#Flavor,_mass,_and_the... the experimental values are "<0.08x10-6", "<0.17" and "<18.2" so I don't understand how the paper claims "remarkable precision"