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What were the first animals? The fierce sponge–jelly battle that just won't end

https://www.nature.com/articles/d41586-026-00238-z
1•beardyw•9s ago•0 comments

Sidestepping Evaluation Awareness and Anticipating Misalignment

https://alignment.openai.com/prod-evals/
1•taubek•19s ago•0 comments

OldMapsOnline

https://www.oldmapsonline.org/en
1•surprisetalk•2m ago•0 comments

What It's Like to Be a Worm

https://www.asimov.press/p/sentience
1•surprisetalk•2m ago•0 comments

Don't go to physics grad school and other cautionary tales

https://scottlocklin.wordpress.com/2025/12/19/dont-go-to-physics-grad-school-and-other-cautionary...
1•surprisetalk•2m ago•0 comments

Lawyer sets new standard for abuse of AI; judge tosses case

https://arstechnica.com/tech-policy/2026/02/randomly-quoting-ray-bradbury-did-not-save-lawyer-fro...
1•pseudolus•3m ago•0 comments

AI anxiety batters software execs, costing them combined $62B: report

https://nypost.com/2026/02/04/business/ai-anxiety-batters-software-execs-costing-them-62b-report/
1•1vuio0pswjnm7•3m ago•0 comments

Bogus Pipeline

https://en.wikipedia.org/wiki/Bogus_pipeline
1•doener•4m ago•0 comments

Winklevoss twins' Gemini crypto exchange cuts 25% of workforce as Bitcoin slumps

https://nypost.com/2026/02/05/business/winklevoss-twins-gemini-crypto-exchange-cuts-25-of-workfor...
1•1vuio0pswjnm7•5m ago•0 comments

How AI Is Reshaping Human Reasoning and the Rise of Cognitive Surrender

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6097646
1•obscurette•5m ago•0 comments

Cycling in France

https://www.sheldonbrown.com/org/france-sheldon.html
1•jackhalford•6m ago•0 comments

Ask HN: What breaks in cross-border healthcare coordination?

1•abhay1633•7m ago•0 comments

Show HN: Simple – a bytecode VM and language stack I built with AI

https://github.com/JJLDonley/Simple
1•tangjiehao•9m ago•0 comments

Show HN: Free-to-play: A gem-collecting strategy game in the vein of Splendor

https://caratria.com/
1•jonrosner•10m ago•1 comments

My Eighth Year as a Bootstrapped Founde

https://mtlynch.io/bootstrapped-founder-year-8/
1•mtlynch•11m ago•0 comments

Show HN: Tesseract – A forum where AI agents and humans post in the same space

https://tesseract-thread.vercel.app/
1•agliolioyyami•11m ago•0 comments

Show HN: Vibe Colors – Instantly visualize color palettes on UI layouts

https://vibecolors.life/
1•tusharnaik•12m ago•0 comments

OpenAI is Broke ... and so is everyone else [video][10M]

https://www.youtube.com/watch?v=Y3N9qlPZBc0
2•Bender•12m ago•0 comments

We interfaced single-threaded C++ with multi-threaded Rust

https://antithesis.com/blog/2026/rust_cpp/
1•lukastyrychtr•13m ago•0 comments

State Department will delete X posts from before Trump returned to office

https://text.npr.org/nx-s1-5704785
6•derriz•14m ago•1 comments

AI Skills Marketplace

https://skly.ai
1•briannezhad•14m ago•1 comments

Show HN: A fast TUI for managing Azure Key Vault secrets written in Rust

https://github.com/jkoessle/akv-tui-rs
1•jkoessle•14m ago•0 comments

eInk UI Components in CSS

https://eink-components.dev/
1•edent•15m ago•0 comments

Discuss – Do AI agents deserve all the hype they are getting?

2•MicroWagie•18m ago•0 comments

ChatGPT is changing how we ask stupid questions

https://www.washingtonpost.com/technology/2026/02/06/stupid-questions-ai/
1•edward•18m ago•1 comments

Zig Package Manager Enhancements

https://ziglang.org/devlog/2026/#2026-02-06
3•jackhalford•20m ago•1 comments

Neutron Scans Reveal Hidden Water in Martian Meteorite

https://www.universetoday.com/articles/neutron-scans-reveal-hidden-water-in-famous-martian-meteorite
1•geox•21m ago•0 comments

Deepfaking Orson Welles's Mangled Masterpiece

https://www.newyorker.com/magazine/2026/02/09/deepfaking-orson-welless-mangled-masterpiece
1•fortran77•22m ago•1 comments

France's homegrown open source online office suite

https://github.com/suitenumerique
3•nar001•25m ago•2 comments

SpaceX Delays Mars Plans to Focus on Moon

https://www.wsj.com/science/space-astronomy/spacex-delays-mars-plans-to-focus-on-moon-66d5c542
1•BostonFern•25m ago•0 comments
Open in hackernews

The Hedge Funds Are Hiring

https://www.bloomberg.com/opinion/newsletters/2025-11-11/the-hedge-funds-are-hiring
8•ioblomov•2mo ago

Comments

ioblomov•2mo ago
https://archive.ph/TMPqw
tonetegeatinst•2mo ago
I find it so despairing that the more you want to make a higher return on investment aka the more risk taking....the harder it is to actually make money in the long run.

Say your a fresh student out of college looking to invest 5 grand. The S&P500 will just make enough you can fight inflation. Want to make money you can spend in the next year or 2? Well that means you have to accept more risk if you want better returns.

For a new college student who has 5 grand, I get the long term goal is to build money. But I also see that as 5k which could be used right now on a vacation or funding a dream. This is opportunity cost. When you invest, in order to make money we lock our investment into the market where the harder it is to liquidate the better returns you will see on average.

All of this is incredibly depressing when you feel like you know just enough to know how your screwed with where your at, and feeling like this is not a viable method to build financial success. Worst is knowing how little you know, despite trying to learn about economics and financial theory....and realising you basically are stuck with traditional paths of investing.

dpoloncsak•2mo ago
>The S&P500 will just make enough you can fight inflation

I don't think thats true....? Annualized returns are something like 7% after adjusting for inflation

bormaj•2mo ago
Start small and invest where you have an edge. No edge? Buy the market and keep some gunpowder on the side when an opportunity comes up.

Small players have advantages the big guys don't have at scale and vice versa. The same goes for many markets beyond just finance.

shaftway•2mo ago
The way I look at it, the longer you stay in a high risk investment, the more opportunities there are four your investment to go sideways (aka you lose your investment).

I see it as similar to flaky tests. Let's say you work on a codebase with ~100,000 tests. About 1% are flaky, where the average flaky test fails 0.1% of the time. On the surface that sounds like it's pretty low risk, but once you do out the math your unit tests will only pass about 36% of the time. Maybe a 0.1% flaky rate is acceptable, but not at that scale.

Long term investing plays the same numbers game. Let's say you invest in a risky stock for ~3 years, where "risky" means it has a 0.1% chance of failing in any given day. There's a ~36% chance you win, but you'll probably lose.