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How we use dopamine to get you to spend less time on your phone

https://getisland.app/blog/fire-with-fire/
1•Intragalactic•45s ago•0 comments

New CA laws let community colleges offer up to 12 bachelor's degrees

https://calmatters.org/education/higher-education/2026/09/new-california-laws-community-college-d...
1•lxm•3m ago•0 comments

Francis Fukuyama: Why I Changed My Mind About AI Risk

https://www.persuasion.community/p/why-i-changed-my-mind-about-ai-risk
1•mellosouls•4m ago•0 comments

Smart Ring Maker Oura, Backers Seek $2.2B in US IPO

https://www.bloomberg.com/news/articles/2026-09-21/smart-ring-maker-oura-backers-seek-2-2-billion...
2•elo2000•5m ago•0 comments

OpenAI president and MAGA Inc. donor to attend Trump-Xi state dinner

https://www.politico.com/news/2026/09/21/openai-maga-donor-trump-xi-dinner-01086456
1•Alien1Being•6m ago•0 comments

Put Tabs Away

https://chromewebstore.google.com/detail/leotabs-—-tab-manager-swi/heolckkdeandgagkiefggcneodni...
2•ringlochid•9m ago•0 comments

Ottawa to build sovereign AI ecosystem for Canadian defence operations

https://www.theglobeandmail.com/business/economy/article-ottawa-building-sovereign-ai-ecosystem-f...
1•Teever•10m ago•0 comments

Side-stepping the Secretary Problem, unwittingly

https://www.evalapply.org/posts/side-step-secretary-problem-hiring/index.html
3•pvdebbe•11m ago•0 comments

Turn ad-hoc subagents into durable, accountable AI teams

https://github.com/ringlochid/oh-my-subagents
3•ringlochid•13m ago•0 comments

Cohere and Aleph Alpha sign business combination agreement

https://cohere.com/blog/cohere-and-aleph-alpha-sign-agreement
1•diegocstn•15m ago•0 comments

The Inference Gap

https://twitter.com/Lon/status/2101034933284417614
1•Jimega36•20m ago•1 comments

Ju Ju Tsu

https://arialdo.codeberg.page/ju-ju-tsu/
1•hn92726819•21m ago•1 comments

Privacy Tools Experts Use

https://proton.me/blog/privacy-tools-experts-use
3•devonnull•22m ago•0 comments

Ticket-In Ticket-Out

https://en.wikipedia.org/wiki/Ticket-in,_ticket-out
2•suopspaces•23m ago•0 comments

Show HN: An honest comparison of the Agent Harness vs. six alternatives

https://time2magic.com/agent-harness
1•bishopz•28m ago•0 comments

Before and After Photos Show Data Centers Furiously Popping Up Across America

https://petapixel.com/2026/09/19/before-and-after-photos-show-data-centers-furiously-popping-up-a...
1•andsoitis•29m ago•0 comments

Breaking a four year hiatus to talk about the export keyword (PEPs 842 and 843)

https://aroberge.blogspot.com/2026/09/breaking-four-year-hiatus-to-talk-about.html
1•lumpa•29m ago•0 comments

Show HN: Primescript – Academic Markdown editor with vector search and LaTeX

https://primescript.com
1•mac-r•29m ago•0 comments

Show HN: A Mondrian-style puzzle block game

https://game.wdamao.com/mondrian-blocks/
1•wdamao•31m ago•1 comments

A Calendar of Smells

https://worldsensorium.com/a-calendar-of-smells/
1•dnetesn•31m ago•0 comments

A space war played in SQL

https://schemaverse.com/
1•thunderbong•32m ago•0 comments

Solitaire Alone Together

https://eieio.games/blog/solitaire-alone-together/
1•anitil•33m ago•2 comments

An Ocean Planet in Space

https://blue-continuum.com/an-ocean-planet-in-space
2•dnetesn•34m ago•0 comments

EZ4: A reflection-driven alternative to AWS CDK for serverless apps

https://github.com/sbalmt/ez4
2•sbalmt•38m ago•0 comments

Ask HN: How do you sell a small bootstrapped SaaS?

2•hpsilab•40m ago•0 comments

A 7B fact-checker beat 30B LLM reviewers and deleted no true claims

https://openteams.com/llm-review-reliability/
3•khuyentran1401•40m ago•0 comments

The World After Capital (2024)

https://worldaftercapital.org/
2•measurablefunc•42m ago•0 comments

How Your Internet Traffic Gets There: IXPs and Peering

https://community.ipinfo.io/t/how-your-internet-traffic-actually-gets-there-ixps-peering-and-why-...
2•shubhamjain•44m ago•0 comments

A Programming Mentality

https://www.natemeyvis.com/a-programming-mentality/
1•meetpateltech•46m ago•0 comments

Vibes vs. Evidence: What delivers AI code review quality

https://dsifry.github.io/harnesseval/
3•pjf•46m ago•0 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.