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Plausible Community Edition had an unauthenticated RCE for over a year

https://github.com/plausible/analytics/discussions/6355
1•gregzeng95•39s ago•0 comments

Datafeudalism: The Domination of Modern Societies by Big Tech Companies

https://link.springer.com/article/10.1007/s13347-024-00777-1
1•smartmic•3m ago•0 comments

Kimi likes causal decision theory more after RL in twin prisoner's dilemmas

https://www.lesswrong.com/posts/hfNBEKaStASAYMLiu/kimi-likes-causal-decision-theory-more-after-rl...
1•0xkato•5m ago•0 comments

A PyTorch optimizer built on continuous thermodynamics and Langevin dynamics

https://github.com/3moorebbb-sketch/MEP-Unified-Architecture
1•3moorebbb•11m ago•0 comments

Going live now – mosh coding at 1:45am

https://dev.profullstack.com/~anthony/blog/007-post.html
1•buffer_overlord•11m ago•0 comments

Helwan Ha-300

https://en.wikipedia.org/wiki/Helwan_HA-300
1•tosh•11m ago•0 comments

160-Bay NVMe SSD 4U Server Shown at FMS 2026 Supermicro ASG-4116S-NU160R

https://www.servethehome.com/160-bay-nvme-ssd-4u-server-shown-at-fms-2026-supermicro-asg-4116s-nu...
1•ksec•12m ago•1 comments

Show HN: Turk SEM – Chrome SidePanel SEO Inspector with JavaScript Render Diff

https://chromewebstore.google.com/detail/turk-sem-on-page-seo-chec/knkmbjcbancffkmmlakialpdefbdockl
2•gezginweb•15m ago•0 comments

Faceminer

https://wristwork.itch.io/faceminer
1•monneyboi•16m ago•0 comments

Replicate alternatives: model hosting vs. model APIs

https://medium.com/@CometAPI_/replicate-alternatives-for-ai-model-apis-in-2026-d5297576ab7e
1•AnneWodell•16m ago•0 comments

Show HN: Use tl;draw inside Org-mode

https://github.com/larrasket/org-draw
1•lr0•17m ago•0 comments

Show HN: Meridian, a local-first journal that drafts project updates

https://github.com/Meridiona/meridian
2•adithyaharish•19m ago•0 comments

Show HN: Grafana agent observability for Hermes Agent

https://github.com/alexander-akhmetov/grafana-agento11y-hermes
1•eventuallyacat•19m ago•0 comments

The Wrong Memory

https://strawberry9.github.io/the-wrong-memory/00_cover.html
1•Volatile-Regist•20m ago•0 comments

RAPx: A static analysis tool for Rust programs

https://github.com/safer-rust/RAPx
1•rendaw•22m ago•0 comments

The Lonely Men at the End of the World

https://www.newyorker.com/culture/photo-booth/the-lonely-men-at-the-end-of-the-world
2•Michelangelo11•24m ago•0 comments

NamingCube – AI name generator that checks if you can use the name

https://www.namingcube.com/
1•davisxie•28m ago•0 comments

The one task nobody wants to do

https://dev.profullstack.com/~anthony/blog/006-post.html
1•buffer_overlord•30m ago•1 comments

A Fast Path for Reading Fixed-Length Lists in Parquet

https://www.morling.dev/blog/fast-path-for-fixed-length-lists-in-parquet/
2•gunnarmorling•37m ago•0 comments

Show HN: Branchline, a $15 alternative to GitLens Pro's commit graph

https://sarthak645.gumroad.com/l/branchline
2•sarthakkuwar1•39m ago•0 comments

More screen time in childhood linked to improved cognitive processing in teens

https://www.uef.fi/en/article/more-screen-time-since-childhood-associated-with-better-cognitive-p...
3•giuliomagnifico•42m ago•1 comments

AI Agent Insurance Products: The New Wave

https://openkoda.com/ai-agent-insurance-products/
3•mgl•43m ago•0 comments

Hi everyone – I'm John, founder of Barawave

https://barawave.com/
2•johngai•46m ago•0 comments

Free v4 front end for your v6 site

https://v4-frontend.netiter.com/
3•networked•46m ago•0 comments

Court Rejects Fair Use Claim, Orders YouTube to Unmask Anime Recap Channels

https://torrentfreak.com/court-rejects-fair-use-claim-orders-youtube-to-unmask-anime-recap-channels/
4•gslin•49m ago•0 comments

The Greatest Books of All Time

https://thegreatestbooks.org/
2•gurjeet•52m ago•0 comments

Temperature Zero for Culture: Why Everything Is Starting to Look the Same

https://laurenleek.substack.com/p/temperature-zero-for-culture-why
2•jalev•56m ago•0 comments

Startup Just Got Approval to Test Beaming Sunlight to Earth

https://www.smithsonianmag.com/smart-news/an-aerospace-startup-just-got-approval-to-test-beaming-...
3•geox•56m ago•1 comments

AI text watermarking is not a big deal

https://www.seangoedecke.com/ai-text-watermarking-is-not-a-big-deal/
3•meetpateltech•59m ago•0 comments

Reaction-Diffusion Playground(2020)

https://jasonwebb.github.io/reaction-diffusion-playground/
2•o4c•1h ago•2 comments
Open in hackernews

Show HN: TheorIA – An Open Curated Physics Dataset (Equations,Explanations,JSON)

https://theoria-dataset.github.io/theoria-dataset/
9•ManuelSH•1y ago
We’re building TheorIA— an open, high quality dataset of theoretical physics results: equations, derivations, definitions, and explanations — all in structured, machine- and human-readable JSON.

Why? Physics is rich with beautiful, formal results — but most of them are trapped in PDFs, LaTeX, or lecture notes. That makes it hard to:

- train symbolic/physics-aware ML models,

- build derivation-checking tools,

- or even just teach physics interactively.

THEORIA fills that gap. Each entry includes:

A result name (e.g., Lorentz transformations)

Clean equations (AsciiMath)

Straightforward step-by-step derivation with reasoning

Symbol definitions & assumptions

Programmatic validation using sympy

References, arXiv-style domain tags, and contributor metadata

Everything is in open, self-contained JSON files. No scraping, no PDFs, just clear structured data for physics learners, teachers, and ML devs.

Contributors Wanted: We’re tiny right now and trying to grow. If you’re into physics or symbolic ML:

Add an entry (any result you love)

Review others' derivations

Build tools on top of the dataset

GitHub https://github.com/theoria-dataset/theoria-dataset/

Licensed under CC-BY 4.0, and we welcome educators, students, ML people, or just anyone who thinks physics deserves better data.

Comments

somethingsome•1y ago
There are only 3 entries, am I correct?
ManuelSH•1y ago
Yes, we are at very early stage. Looking for other physics experts to help increasing it.
somethingsome•1y ago
I like the idea of having a dataset for physics, but those entries are very basics, most of the physics happens with very complicated maths and it will be difficult to make an entry for a lot of physics.

For example, imagine the entry for the standard equation, should all the derivation and symbolic implementation done as a unique entry? It will be difficult to separate it in logical entries that reference each others, and many physical ideas are fundamentally different, leading to divergences.

I have the impression that it should be easier to just parse reference books and format each paragraph/section as an entry, and maybe build a graph. (considering the reference book as authoritative on the subject)

ManuelSH•1y ago
I guess you mean the Lagrangian of the Standard Model… which I agree, it will be daunting… although there is no limit in a json…

The idea of automatically parsing books is very nice and possibly faster, but note that:

- there are already various datasets of physics papers and such content - the result will be quite different versus what we intent here, which is to have a high quality dataset of physics results with clear derivations (whenever derivation exist)

Maybe we can still use your idea to achieve the last point in some way… maybe there is a book that is already formatted as the dataset and we could use it as a starting point. But I don’t know any.

BrandiATMuhkuh•1y ago
This is some cools work.

Not sure if it fits but I still have ~20k currated step by step solution for mathematics (pedagogical math) "lying" around from my previous startup. They are all hand currated. And could even be used for fine tuning or so.

Here are some details: The dataset has 20.600 Abstract Exercises which turn into 1.193.958 Concrete Exercises.

An Abstract Exercise looks like this: a + b = c A Concrete Exercise looks like this: 2 + 3 = 5 Tital compiled file size (JSONL): 11.6GB

And here is an explorer to see some of the data https://curriculum.amy.app/ToM

ManuelSH•1y ago
very nice! maybe you can put this dataset in some repository like github, kaggle or hugging face, if you are not doing anything with it. Can be helpful to train models.