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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•2m ago•0 comments

Sidestepping Evaluation Awareness and Anticipating Misalignment

https://alignment.openai.com/prod-evals/
1•taubek•2m ago•0 comments

OldMapsOnline

https://www.oldmapsonline.org/en
1•surprisetalk•5m ago•0 comments

What It's Like to Be a Worm

https://www.asimov.press/p/sentience
1•surprisetalk•5m 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•5m 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•5m 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•6m ago•0 comments

Bogus Pipeline

https://en.wikipedia.org/wiki/Bogus_pipeline
1•doener•7m 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•7m 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
2•obscurette•7m ago•0 comments

Cycling in France

https://www.sheldonbrown.com/org/france-sheldon.html
1•jackhalford•9m ago•0 comments

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

1•abhay1633•9m ago•0 comments

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

https://github.com/JJLDonley/Simple
1•tangjiehao•12m ago•0 comments

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

https://caratria.com/
1•jonrosner•13m ago•1 comments

My Eighth Year as a Bootstrapped Founde

https://mtlynch.io/bootstrapped-founder-year-8/
1•mtlynch•13m 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•13m ago•0 comments

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

https://vibecolors.life/
1•tusharnaik•15m ago•0 comments

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

https://www.youtube.com/watch?v=Y3N9qlPZBc0
2•Bender•15m ago•0 comments

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

https://antithesis.com/blog/2026/rust_cpp/
1•lukastyrychtr•16m ago•0 comments

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

https://text.npr.org/nx-s1-5704785
6•derriz•16m ago•1 comments

AI Skills Marketplace

https://skly.ai
1•briannezhad•16m 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•17m ago•0 comments

eInk UI Components in CSS

https://eink-components.dev/
1•edent•17m ago•0 comments

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

2•MicroWagie•20m ago•0 comments

ChatGPT is changing how we ask stupid questions

https://www.washingtonpost.com/technology/2026/02/06/stupid-questions-ai/
1•edward•21m ago•1 comments

Zig Package Manager Enhancements

https://ziglang.org/devlog/2026/#2026-02-06
3•jackhalford•23m 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•24m ago•0 comments

Deepfaking Orson Welles's Mangled Masterpiece

https://www.newyorker.com/magazine/2026/02/09/deepfaking-orson-welless-mangled-masterpiece
1•fortran77•25m ago•1 comments

France's homegrown open source online office suite

https://github.com/suitenumerique
3•nar001•27m 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•28m ago•0 comments
Open in hackernews

Jeff Bezos' risky bet (2006)

https://www.nbcnews.com/id/wbna15536386
23•spking•8mo ago

Comments

MaxPock•8mo ago
The more I read articles from 20 or 30 years ago, the more I realize how little analysts actually knew about the future. Entrepreneurs and scientists are the ones who correctly predict it—because they create it, or at least attempt to.

Some plans succeed, while others fail. It’s a numbers game.

Invest in every half-decent Bezos you find, and one of them will likely make you a multimillionaire in a decade or two.

bitpush•8mo ago
Puts things into perspective of what we read today.
3abiton•8mo ago
It's like that saying from Nicholas Taleb(I onow he's controversial), to read news from a year ago, so realize how much bullshit is in news. https://medium.com/incerto/the-facts-are-true-the-news-is-fa...
hn_throwaway_99•8mo ago
I don't understand the logic behind your sentences at all.

Bezos is literally a one-in-million entrepreneur. Like you say, it's a numbers game. The vast majority of entrepreneurs fail (especially startup, "hockey-stick growth"-type entrepreneurs).

But you seem to be holding analysts to a much higher standard. Yes, lots and lots of analysts are wrong about the future, but a few of them are right. I'd probably bet that analysts are more right than entrepreneurs are, simply due to the fact that it's easier to be right about generalities than to do everything necessary it takes to be a successful entrepreneur.

vivzkestrel•8mo ago
wouldnt it be amazing if you could somehow crunch predictions from every analyst made in the last 30 yrs and tell who was right and who wasnt using machine learning and how much money they could have made you?
motorest•8mo ago
> Bezos is literally a one-in-million entrepreneur.

That's besides the point. The critical aspect is that Amazon was tapping into a market that Wall Street analysis failed to even understand existed, even though it was there staring at them and poking them in the eye.

It's hard to even conceive how, in the middle of the dot-com boom, market analysis systematically failed to even identify there was a market for cloud infrastructure.

It's like during the gold rush failing to realize there's a market for pickaxes.

It's very easy for internet randos to dismiss Amazon's strategy as one-in-a-million bets and something no one would ever conceive. Except this was exactly the opposite. Amazon was sitting on top of a huge compute infrastructure, which they had to build themselves from scratch, and which the company was financing as a purely operational expense. Any business analyst worth it's name would ask "how can we turn this into a revenue stream?" If they looked outside the figurative window, they would see lines of CTOs of dotcom startups imploring everyone for renting any semblance of compute infrastructure to get their startup off the ground. You do not need to be a genius to put two and two together.

petesergeant•8mo ago
I don't think you can use one of the world's most historically successful entrepreneurs to make this point.

> But the fact that some geniuses were laughed at does not imply that all who are laughed at are geniuses. They laughed at Columbus, they laughed at Fulton, they laughed at the Wright brothers. But they also laughed at Bozo the Clown.