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Show HN: I built a toy compiler as a young dev

https://vire-lang.web.app
1•xeouz•1m ago•0 comments

You don't need Mac mini to run OpenClaw

https://runclaw.sh
1•rutagandasalim•2m ago•0 comments

Learning to Reason in 13 Parameters

https://arxiv.org/abs/2602.04118
1•nicholascarolan•4m ago•0 comments

Convergent Discovery of Critical Phenomena Mathematics Across Disciplines

https://arxiv.org/abs/2601.22389
1•energyscholar•4m ago•1 comments

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

1•alentred•4m 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•5m 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...
5•mindracer•6m ago•1 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•6m ago•0 comments

Moltbook was peak AI theater

https://www.technologyreview.com/2026/02/06/1132448/moltbook-was-peak-ai-theater/
1•Brajeshwar•7m 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•7m ago•0 comments

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

https://www.cosmicodometer.space/
2•captainnemo729•7m 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•7m ago•0 comments

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

https://iocombats.com/blogs/micro-frontends-in-2026
1•ghazikhan205•10m 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•10m ago•1 comments

The Wonder Drug That's Plaguing Sports

https://www.nytimes.com/2026/02/02/us/ostarine-olympics-doping.html
1•mooreds•11m 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•11m ago•0 comments

Federated Credential Management (FedCM)

https://ciamweekly.substack.com/p/federated-credential-management-fedcm
1•mooreds•11m ago•0 comments

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

https://app.writtte.com/read/kZ8Kj6R
1•lasgawe•11m ago•1 comments

The Story of Heroku (2022)

https://leerob.com/heroku
1•tosh•12m ago•0 comments

Obey the Testing Goat

https://www.obeythetestinggoat.com/
1•mkl95•12m ago•0 comments

Claude Opus 4.6 extends LLM pareto frontier

https://michaelshi.me/pareto/
1•mikeshi42•13m ago•0 comments

Brute Force Colors (2022)

https://arnaud-carre.github.io/2022-12-30-amiga-ham/
1•erickhill•16m 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•16m ago•0 comments

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

https://bsky.app/profile/fullmoon.id/post/3meadfaulhk2s
1•todsacerdoti•17m ago•0 comments

Software development is undergoing a Renaissance in front of our eyes

https://twitter.com/gdb/status/2019566641491963946
1•tosh•17m ago•0 comments

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

https://tryward.app/aiquiz
1•bennydog224•18m 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•18m ago•0 comments

Agents need good developer experience too

https://modal.com/blog/agents-devex
1•birdculture•20m ago•0 comments

The Dark Factory

https://twitter.com/i/status/2020161285376082326
1•Ozzie_osman•20m 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•21m ago•0 comments
Open in hackernews

Escaping the odds and a formula for life (2024)

https://farhadg.com/blog/escaping-odds/
33•FarhadG•5mo ago

Comments

kruffalon•5mo ago
I enjoyed the article, well written and engaging.

(It gave me a small sense of reading a recipe blog where the meta is to tell an enormous backstory)

I kind of sympathise with the premise of trying to somewhat soften the economic-worldview (and language) that we are so used to and to extrapolate into our day to day life.

But in the end it still talks about investing in my friends, and that just isn't for me.

kqr•5mo ago
Yet this article, like thousand others, don't go beyond binary decisions. Binary decisions are fine for many everyday decisions like figuring out whether to get insurance[1] but the Kelly criterion goes well beyond that[2] without changing the fundamentals: estimate a joint probability distribution of the outcome for each alternative, evaluate E(log X) using it, and pick the alternative for which it is highest.

For a deeper introduction, I recommend the somewhat heavy Kelly Capital Growth Investment Criterion[3] which is a well-curated collection of papers on the Kelly criterion and its various uses.

[1]: https://xkqr.org/insurance/?wealth=0&offered=0

[2]: https://entropicthoughts.com/the-misunderstood-kelly-criteri...

[3]: https://www.amazon.com/KELLY-CAPITAL-GROWTH-INVESTMENT-CRITE...

bluecalm•5mo ago
One problem with Kelly Criterion is that the swings are wild if you apply it. For example if your winning percentage is 55% on a double or nothing bet and you bet according to Kelly 1000 times you are practically guaranteed to have a drawdown of 50% at some point. If you bet 1/2 Kelly the odds of that are about 86% and if you bet 1/4 Kelly they are below 10%.

I've written quick Python script to show the results (1000 bets, 55% winning percentage, starting bankroll 1000, 10000 simulations each).

    Full Kelly:
    Average: 14174823.8 Median: 149660.0 drawdown50: 1.000 drawdown75: 0.939
    1/2 Kelly:
    Average: 145075.3 Median: 42632.0 drawdown50: 0.862 drawdown75: 0.135
    1/3 Kelly:
    Average: 27929.5 Median: 16098.0 drawdown50: 0.330 drawdown75: 0.009
    1/4 Kelly:
    Average: 12146.9 Median: 8916.0 drawdown50: 0.086 drawdown75: 0.000
drawdown50 is a probability of losing 50% of your bankroll at some point and drawdown75 is a probability of losing 75% of your bankroll at some point.

It's a wild ride either way but maybe consider that your utility of money function flattens out much faster than logarithmic one. You may not be able to get 1000 bets in and maybe you don't need 1000x or even 100x your starting capital to get all the money you could ever need.

jstanley•5mo ago
> Kelly variants: Betting full Kelly can be psychologically draining, especially with volatile outcomes. Many find that betting half or quarter Kelly reduces emotional swings while still capturing significant long-term growth.

Betting less than Kelly is just as bad as betting more than Kelly! You optimise your expected log growth by betting Kelly.