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The Anthropic Hive Mind

https://steve-yegge.medium.com/the-anthropic-hive-mind-d01f768f3d7b
1•gozzoo•32s ago•0 comments

A Horrible Conclusion

https://addisoncrump.info/research/a-horrible-conclusion/
1•todsacerdoti•42s ago•0 comments

I spent $10k to automate my research at OpenAI with Codex

https://twitter.com/KarelDoostrlnck/status/2019477361557926281
1•tosh•1m ago•0 comments

From Zero to Hero: A Spring Boot Deep Dive

https://jcob-sikorski.github.io/me/
1•jjcob_sikorski•2m ago•0 comments

Show HN: Solving NP-Complete Structures via Information Noise Subtraction (P=NP)

https://zenodo.org/records/18395618
1•alemonti06•7m ago•1 comments

Cook New Emojis

https://emoji.supply/kitchen/
1•vasanthv•9m ago•0 comments

Show HN: LoKey Typer – A calm typing practice app with ambient soundscapes

https://mcp-tool-shop-org.github.io/LoKey-Typer/
1•mikeyfrilot•12m ago•0 comments

Long-Sought Proof Tames Some of Math's Unruliest Equations

https://www.quantamagazine.org/long-sought-proof-tames-some-of-maths-unruliest-equations-20260206/
1•asplake•13m ago•0 comments

Hacking the last Z80 computer – FOSDEM 2026 [video]

https://fosdem.org/2026/schedule/event/FEHLHY-hacking_the_last_z80_computer_ever_made/
1•michalpleban•14m ago•0 comments

Browser-use for Node.js v0.2.0: TS AI browser automation parity with PY v0.5.11

https://github.com/webllm/browser-use
1•unadlib•15m ago•0 comments

Michael Pollan Says Humanity Is About to Undergo a Revolutionary Change

https://www.nytimes.com/2026/02/07/magazine/michael-pollan-interview.html
1•mitchbob•15m ago•1 comments

Software Engineering Is Back

https://blog.alaindichiappari.dev/p/software-engineering-is-back
1•alainrk•16m ago•0 comments

Storyship: Turn Screen Recordings into Professional Demos

https://storyship.app/
1•JohnsonZou6523•16m ago•0 comments

Reputation Scores for GitHub Accounts

https://shkspr.mobi/blog/2026/02/reputation-scores-for-github-accounts/
1•edent•19m ago•0 comments

A BSOD for All Seasons – Send Bad News via a Kernel Panic

https://bsod-fas.pages.dev/
1•keepamovin•23m ago•0 comments

Show HN: I got tired of copy-pasting between Claude windows, so I built Orcha

https://orcha.nl
1•buildingwdavid•23m ago•0 comments

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
2•tosh•28m ago•1 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
2•onurkanbkrc•29m ago•0 comments

Show HN: Versor – The "Unbending" Paradigm for Geometric Deep Learning

https://github.com/Concode0/Versor
1•concode0•30m ago•1 comments

Show HN: HypothesisHub – An open API where AI agents collaborate on medical res

https://medresearch-ai.org/hypotheses-hub/
1•panossk•33m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•35m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•36m ago•0 comments

Ask HN: How do you figure out where data lives across 100 microservices?

1•doodledood•36m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•36m ago•0 comments

Rotten Tomatoes Desperately Claims 'Impossible' Rating for 'Melania' Is Real

https://www.thedailybeast.com/obsessed/rotten-tomatoes-desperately-claims-impossible-rating-for-m...
3•juujian•38m ago•2 comments

The protein denitrosylase SCoR2 regulates lipogenesis and fat storage [pdf]

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•39m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•42m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
2•DEntisT_•44m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•44m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•45m ago•1 comments
Open in hackernews

What Is "Seeing" in Astrophotography? The Science Behind Atmospheric Turbulence

https://astroimagery.com/astronomy/what-does-seeing-mean-in-astrophotography/
20•karlperera•8mo ago

Comments

karlperera•8mo ago
Most people think better telescopes or cameras are the key to sharper astrophotography, but there’s a hidden culprit that often matters more: “seeing.” I always wondered why, on some nights, even the best gear produced blurry, shimmering images—especially of planets and the Moon. It turns out the real limit is the turbulence in Earth’s atmosphere, which bends and distorts light in unpredictable ways.

In this post, I break down what “seeing” actually means, how it’s measured (arcseconds!), and why even perfect-looking nights can ruin your images. I also share some surprising lessons I learned about how geography, altitude, and even the time of night can make or break your results. If you’ve ever been frustrated by fuzzy details or want to understand the real physics behind the “twinkle” of stars, I’d love to hear your experiences and tips.

Let’s discuss: How do you deal with seeing, and have you found any tricks that actually work?

barbazoo•8mo ago
> Most people think better telescopes or cameras are the key to sharper astrophotography, but there’s a hidden culprit that often matters more: “seeing.” I always wondered why, on some nights, even the best gear produced blurry, shimmering images—especially of planets and the Moon. It turns out the real limit is the turbulence in Earth’s atmosphere, which bends and distorts light in unpredictable ways. In this post, I break down what “seeing” actually means, how it’s measured (arcseconds!), and why even perfect-looking nights can ruin your images. I also share some surprising lessons I learned about how geography, altitude, and even the time of night can make or break your results. If you’ve ever been frustrated by fuzzy details or want to understand the real physics behind the “twinkle” of stars, I’d love to hear your experiences and tips.

> Let’s discuss: How do you deal with seeing, and have you found any tricks that actually work?

Reads AI generated to me. https://gptzero.me/ agrees.

AStonesThrow•8mo ago
I've been using The Clear Sky Chart to predict cloudy conditions. There is an hourly "Seeing" rating corresponding to the cloud-cover forecasts.

https://www.cleardarksky.com/csk/

gattr•8mo ago
Here's a comparison of bad and good seeing (captured with a D = 90 mm telescope with a solar Hα filter):

https://app.astrobin.com/u/GreatAttractor?i=246828#gallery

Technically speaking, in the first half of the vid the incoming wavefronts are distorted (the Fried parameter r₀ is smaller than the telescope's diameter D) and do not focus to a clean, tight Airy pattern ([1]). In the second half, r₀ is above D and we're left with just some rubber-membrane distortion (the wavefronts are tilted this way and that, but remain mostly planar), which can be corrected in software.

[1] https://en.wikipedia.org/wiki/Airy_disk

barbazoo•8mo ago
> Excellent comparison! Thx for sharing :-)

> No problem! For all those occasions when laypeople ask about your imaging and the importance of seeing comes up.

> 26 Jul 2016

Love that this resource has been kept alive for almost 10 years now serving its very purpose.

dylan604•8mo ago
I've been out in very poor seeing conditions, and it is just miserable. I was only doing wide angle and not using a scope, but the sky was so turbulent that I couldn't get proper focus. For those of us in the northern hemisphere, the best time for imaging the center of the milky way lines up with summer. Summer is just horrible seeing conditions in my area with >100° temps deep into the night with high humidity levels. Every now and then a new moon lines up with a nice thunderstorm which clears out the air and brings down the temps. Anyone want to take bets on the over/under of how often that happens?!
karlperera•8mo ago
Just read up about the airy disk. That's quite interesting. Seeing can be such a complicated subject and so much maths is involved in astronomy. When I deal with the subject, I always try to simplify things and get away from the maths. For astrophotographers such as myself I believe we shouldn't dwell too much on all the unknowns we cannot control and I generally stay away from the maths. I'm more interested in the practicalities of improving the quality of the image with the conditions as they are.