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Learning to Reason in 13 Parameters

https://arxiv.org/abs/2602.04118
1•nicholascarolan•2m ago•0 comments

Convergent Discovery of Critical Phenomena Mathematics Across Disciplines

https://arxiv.org/abs/2601.22389
1•energyscholar•2m ago•1 comments

Ask HN: Will GPU and RAM prices ever go down?

1•alentred•2m ago•0 comments

From hunger to luxury: The story behind the most expensive rice (2025)

https://www.cnn.com/travel/japan-expensive-rice-kinmemai-premium-intl-hnk-dst
1•mooreds•3m ago•0 comments

Substack makes money from hosting Nazi newsletters

https://www.theguardian.com/media/2026/feb/07/revealed-how-substack-makes-money-from-hosting-nazi...
4•mindracer•4m ago•0 comments

A New Crypto Winter Is Here and Even the Biggest Bulls Aren't Certain Why

https://www.wsj.com/finance/currencies/a-new-crypto-winter-is-here-and-even-the-biggest-bulls-are...
1•thm•4m ago•0 comments

Moltbook was peak AI theater

https://www.technologyreview.com/2026/02/06/1132448/moltbook-was-peak-ai-theater/
1•Brajeshwar•5m ago•0 comments

Why Claude Cowork is a math problem Indian IT can't solve

https://restofworld.org/2026/indian-it-ai-stock-crash-claude-cowork/
1•Brajeshwar•5m ago•0 comments

Show HN: Built an space travel calculator with vanilla JavaScript v2

https://www.cosmicodometer.space/
2•captainnemo729•5m ago•0 comments

Why a 175-Year-Old Glassmaker Is Suddenly an AI Superstar

https://www.wsj.com/tech/corning-fiber-optics-ai-e045ba3b
1•Brajeshwar•6m ago•0 comments

Micro-Front Ends in 2026: Architecture Win or Enterprise Tax?

https://iocombats.com/blogs/micro-frontends-in-2026
1•ghazikhan205•8m ago•0 comments

These White-Collar Workers Actually Made the Switch to a Trade

https://www.wsj.com/lifestyle/careers/white-collar-mid-career-trades-caca4b5f
1•impish9208•8m ago•1 comments

The Wonder Drug That's Plaguing Sports

https://www.nytimes.com/2026/02/02/us/ostarine-olympics-doping.html
1•mooreds•9m ago•0 comments

Show HN: Which chef knife steels are good? Data from 540 Reddit tread

https://new.knife.day/blog/reddit-steel-sentiment-analysis
1•p-s-v•9m ago•0 comments

Federated Credential Management (FedCM)

https://ciamweekly.substack.com/p/federated-credential-management-fedcm
1•mooreds•9m ago•0 comments

Token-to-Credit Conversion: Avoiding Floating-Point Errors in AI Billing Systems

https://app.writtte.com/read/kZ8Kj6R
1•lasgawe•9m ago•1 comments

The Story of Heroku (2022)

https://leerob.com/heroku
1•tosh•10m ago•0 comments

Obey the Testing Goat

https://www.obeythetestinggoat.com/
1•mkl95•10m ago•0 comments

Claude Opus 4.6 extends LLM pareto frontier

https://michaelshi.me/pareto/
1•mikeshi42•11m ago•0 comments

Brute Force Colors (2022)

https://arnaud-carre.github.io/2022-12-30-amiga-ham/
1•erickhill•14m ago•0 comments

Google Translate apparently vulnerable to prompt injection

https://www.lesswrong.com/posts/tAh2keDNEEHMXvLvz/prompt-injection-in-google-translate-reveals-ba...
1•julkali•14m ago•0 comments

(Bsky thread) "This turns the maintainer into an unwitting vibe coder"

https://bsky.app/profile/fullmoon.id/post/3meadfaulhk2s
1•todsacerdoti•15m ago•0 comments

Software development is undergoing a Renaissance in front of our eyes

https://twitter.com/gdb/status/2019566641491963946
1•tosh•15m ago•0 comments

Can you beat ensloppification? I made a quiz for Wikipedia's Signs of AI Writing

https://tryward.app/aiquiz
1•bennydog224•16m ago•1 comments

Spec-Driven Design with Kiro: Lessons from Seddle

https://medium.com/@dustin_44710/spec-driven-design-with-kiro-lessons-from-seddle-9320ef18a61f
1•nslog•17m ago•0 comments

Agents need good developer experience too

https://modal.com/blog/agents-devex
1•birdculture•18m ago•0 comments

The Dark Factory

https://twitter.com/i/status/2020161285376082326
1•Ozzie_osman•18m ago•0 comments

Free data transfer out to internet when moving out of AWS (2024)

https://aws.amazon.com/blogs/aws/free-data-transfer-out-to-internet-when-moving-out-of-aws/
1•tosh•19m ago•0 comments

Interop 2025: A Year of Convergence

https://webkit.org/blog/17808/interop-2025-review/
1•alwillis•20m ago•0 comments

Prejudice Against Leprosy

https://text.npr.org/g-s1-108321
1•hi41•21m ago•0 comments
Open in hackernews

Show HN: I Found a Way for Crypto Casinos to Be Fair

https://probablyfair.org/
3•ccheshirecat•4mo ago
Everyone in crypto gambling says they’re “provably fair.” But if you look closely, most of them only prove the final number after the spin or roll. They never prove how that number was chosen, or if your bet was even part of the process.

That’s what I wanted to fix.

I built something called the ProbablyFair Verifiability Layer (PF-VL). It’s an open standard that makes real fairness provable for any RNG-based game — slots, dice, plinko, whatever.

It doesn’t use a blockchain. It doesn’t use tokens. It’s just math.

Every bet carries a few guarantees:

1. The exact RNG code and parameters are published and hashed. 2. The game logic (payout tables, reels, etc.) is locked and verifiable. 3. Every bet is included in an append-only ledger with a proof. 4. Any player can replay and verify the result themselves. 5. Independent watchdogs can recompute everything continuously.

ProbablyFair doesn’t replace the casino’s system. It sits beside it. Operators don’t have to rebuild anything — just add a few calls to the SDK.

That’s it. Three API calls and one file hash.

If there’s a free, open, drop-in standard for provable fairness, then there’s no reason not to use it. Any casino that refuses is showing you something: they prefer a system where players can’t see what’s really going on.

If it’s fair, you can prove it. If you can’t prove it, it isn’t fair.

Technical bits: Core: Rust (verifier) SDK: Go (operator libraries) WASM: TinyGo (browser verifier) License: Apache-2.0 / CC-BY-4.0

Spec: https://probablyfair.org/specification | https://github.com/ProbablyFair/pf-specs/blob/main/PF-VL-1.0...

Repos: https://github.com/probablyfair/pf-core https://github.com/probablyfair/pf-sdk https://github.com/probablyfair/pf-wasm https://github.com/probablyfair/pf-specs

ProbablyFair Verifiability Layer (PF-VL-1.0) Every bet: committed, included, reproduced.

https://probablyfair.org