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Learning to Reason in 13 Parameters

https://arxiv.org/abs/2602.04118
1•nicholascarolan•18s ago•0 comments

Convergent Discovery of Critical Phenomena Mathematics Across Disciplines

https://arxiv.org/abs/2601.22389
1•energyscholar•32s ago•1 comments

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

1•alentred•53s 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•1m 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...
3•mindracer•2m 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•2m ago•0 comments

Moltbook was peak AI theater

https://www.technologyreview.com/2026/02/06/1132448/moltbook-was-peak-ai-theater/
1•Brajeshwar•3m 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•3m ago•0 comments

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

https://www.cosmicodometer.space/
1•captainnemo729•3m 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•3m ago•0 comments

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

https://iocombats.com/blogs/micro-frontends-in-2026
1•ghazikhan205•6m 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•6m ago•1 comments

The Wonder Drug That's Plaguing Sports

https://www.nytimes.com/2026/02/02/us/ostarine-olympics-doping.html
1•mooreds•7m 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•7m ago•0 comments

Federated Credential Management (FedCM)

https://ciamweekly.substack.com/p/federated-credential-management-fedcm
1•mooreds•7m ago•0 comments

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

https://app.writtte.com/read/kZ8Kj6R
1•lasgawe•7m ago•1 comments

The Story of Heroku (2022)

https://leerob.com/heroku
1•tosh•8m ago•0 comments

Obey the Testing Goat

https://www.obeythetestinggoat.com/
1•mkl95•8m ago•0 comments

Claude Opus 4.6 extends LLM pareto frontier

https://michaelshi.me/pareto/
1•mikeshi42•9m ago•0 comments

Brute Force Colors (2022)

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

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

https://bsky.app/profile/fullmoon.id/post/3meadfaulhk2s
1•todsacerdoti•13m ago•0 comments

Software development is undergoing a Renaissance in front of our eyes

https://twitter.com/gdb/status/2019566641491963946
1•tosh•13m ago•0 comments

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

https://tryward.app/aiquiz
1•bennydog224•14m 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•15m ago•0 comments

Agents need good developer experience too

https://modal.com/blog/agents-devex
1•birdculture•16m ago•0 comments

The Dark Factory

https://twitter.com/i/status/2020161285376082326
1•Ozzie_osman•16m 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•17m ago•0 comments

Interop 2025: A Year of Convergence

https://webkit.org/blog/17808/interop-2025-review/
1•alwillis•18m ago•0 comments

Prejudice Against Leprosy

https://text.npr.org/g-s1-108321
1•hi41•19m ago•0 comments
Open in hackernews

Ask HN: Can verifiable honesty rebuild trust in AI systems?

1•renshijian•3mo ago
We built a system that makes AI honesty measurable each response carries a determinacy score, deception probability, and ethical weight

Instead of “trust me,” the model says “check for yourself.”

I wonder — can this kind of transparency help rebuild trust in AI? Or does it just expose how uncertain intelligence really is?

Comments

renshijian•3mo ago
Thanks for reading — this project isn’t about “AI safety theater.” We’re experimenting with verifiable honesty: every model response carries its own determinacy, deception probability, and ethical weight

Instead of “trust me,” the system says, “check for yourself.”

We’re curious how the HN community sees this: Can trust in AI be engineered through transparency? Or does showing the uncertainty just make it harder to trust?

JohnFen•3mo ago
How does that let you check for yourself, though? Don't people still have to trust that the reported probabilities and weights are both meaningful and correct?

Also, people tend to be pretty bad at interpreting probabilities.

renshijian•3mo ago
That’s a fair point — verification itself still depends on trust in the verifier What we’re trying to test isn’t absolute truth, but transparency under uncertainty You’re right that people often misread probabilities — but maybe that’s the point If we can see uncertainty, even imperfectly, it starts a different kind of trust Not blind faith — more like “I know what this system knows it doesn’t know.”
renshijian•3mo ago
I’ve been thinking more about that — maybe verifiability doesn’t remove trust, it just changes where we place it Not in the system, but in the transparency of its process
PaulHoule•3mo ago
Gotta see it in action.