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The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
1•1vuio0pswjnm7•1m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•3m ago•0 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•6m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•11m ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•13m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•16m ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•28m ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•30m ago•0 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•31m ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•44m ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•46m ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•49m ago•0 comments

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•57m ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•59m ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•1h ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•1h ago•0 comments

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
2•basilikum•1h ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•1h ago•1 comments

NASA now allowing astronauts to bring their smartphones on space missions

https://twitter.com/NASAAdmin/status/2019259382962307393
2•gbugniot•1h ago•0 comments

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
3•throwaw12•1h ago•1 comments

Show HN: MicroClaw – Agentic AI Assistant for Telegram, Built in Rust

https://github.com/microclaw/microclaw
1•everettjf•1h ago•2 comments

Show HN: Omni-BLAS – 4x faster matrix multiplication via Monte Carlo sampling

https://github.com/AleatorAI/OMNI-BLAS
1•LowSpecEng•1h ago•1 comments

The AI-Ready Software Developer: Conclusion – Same Game, Different Dice

https://codemanship.wordpress.com/2026/01/05/the-ai-ready-software-developer-conclusion-same-game...
1•lifeisstillgood•1h ago•0 comments

AI Agent Automates Google Stock Analysis from Financial Reports

https://pardusai.org/view/54c6646b9e273bbe103b76256a91a7f30da624062a8a6eeb16febfe403efd078
1•JasonHEIN•1h ago•0 comments

Voxtral Realtime 4B Pure C Implementation

https://github.com/antirez/voxtral.c
2•andreabat•1h ago•1 comments

I Was Trapped in Chinese Mafia Crypto Slavery [video]

https://www.youtube.com/watch?v=zOcNaWmmn0A
2•mgh2•1h ago•1 comments

U.S. CBP Reported Employee Arrests (FY2020 – FYTD)

https://www.cbp.gov/newsroom/stats/reported-employee-arrests
1•ludicrousdispla•1h ago•0 comments

Show HN: I built a free UCP checker – see if AI agents can find your store

https://ucphub.ai/ucp-store-check/
2•vladeta•1h ago•1 comments

Show HN: SVGV – A Real-Time Vector Video Format for Budget Hardware

https://github.com/thealidev/VectorVision-SVGV
1•thealidev•1h ago•0 comments

Study of 150 developers shows AI generated code no harder to maintain long term

https://www.youtube.com/watch?v=b9EbCb5A408
2•lifeisstillgood•1h ago•0 comments
Open in hackernews

America's Dirtiest Carbon Polluters, Mapped to Ridiculous Precision

https://gizmodo.com/americas-dirtiest-carbon-polluters-mapped-to-ridiculous-precision-2000700924
55•ourmandave•1mo ago

Comments

wongarsu•1mo ago
"ridiculous precision" being 1km resolution. Considering how one of the author's said "The U.S. taxpayers have a right to this data" I really wish they had put up a web viewer

Here's the paper: https://www.nature.com/articles/s41597-025-06391-w

And the data as a bunch of zipped geotiffs: https://zenodo.org/records/15446748

A reasonable-ish resolution version of the headline image (total CO2 emissions 2010-2022): https://media.springernature.com/full/springer-static/image/...

And my favorite: Difference in CO2 emissions between 2010 and 2022: https://media.springernature.com/full/springer-static/image/...

cheschire•1mo ago
The article claims precision to a city block or individual factory?
vegetablepotpie•1mo ago
Is that the full dataset?

“The output constitutes many terabytes of data and requires a high-performance computing system to run,” co-author Pawlok Dass, a SICCS research associate, said in the release.”

The largest zip file I see on the zenodo link is 404 MB in size, I’d be surprised if it unzips into anything more than a few gigabytes.

wongarsu•1mo ago
I'd be happy for someone to find more data. I just followed the links: the article links to the release [1] which contains the same quotes. That release links to the paper, published yesterday [2]. The paper contains a section "Data availability" which links to the dataset [3], and it also explains in detail what is inside, unambiguously referring to that dataset. The gizmodo article also directly links [2], so there isn't much room for ambiguity there.

I think the clue is in the sentence "this map is actually a high-level visualization of the data Vulcan provides". The source data is terabytes of data, they boiled it down to a couple of maps with 1 square kilometer resolution. Maybe the next data releases will contain more.

I don't have a clue how we go from this dataset to "down to every city block, road segment and individual factory or power plant". I guess some refineries can be measured in square kilometers, and it's a pretty good resolution for looking at highways, but other than that it seems like an exaggeration.

1: https://news.nau.edu/gurney-co2/

2: https://www.nature.com/articles/s41597-025-06391-w

3: https://zenodo.org/records/15446748

korkoros•1mo ago
At 1km resolution, this is largely just a map of US urbanized areas. The spatial variation isn't that interesting. The temporal variation and the absolute values per spatial unit are the greater value of this project.
JimmyBuckets•1mo ago
That is unfair. The largest co2 producers are also large in size. I think 1km resolution is more than sufficient to identify the source of the majority of emissions - e.g. factories, power plants, buildings, etc. Even if the resolution is not fine-grained enough for definitive identification it reduces the scope to manageable size for more detailed investigations.
jgalt212•1mo ago
CO2 is not inherently "dirty", so I'd argue that if the headline is advocacy minded, it's probably working against itself.
Rygian•1mo ago
CO₂ is inherently dirty, except where it happens naturally. See for example: https://iere.org/carbon-dioxide-an-air-pollutant/
idiotsecant•1mo ago
I'm not sure the problem is how 'dirty' a source is, whatever you think that means. What's important is how much that source increases the net carbon content in our atmosphere. Unless you're burning wood (which is a vanishingly small proportion of all carbon release) you're releasing carbon that was bound on geological timescales, which is massively changing that balance.
gspr•1mo ago
> CO2 is not inherently "dirty", so I'd argue that if the headline is advocacy minded, it's probably working against itself.

This derailing tactic is working against us all. You're trying to nitpick how a term is used, without acknowledging that the term is imprecise as is. It's not relevant whether we call carbondioxide "dirty" or not; man-made emissions of it are a huge problem.

oceanplexian•1mo ago
I think the parent has a valid point. What's the big deal with simply stating the facts?

When I think about dirty industry I don't think of CO2, I think of Sulfur Dioxide, Nitrogen Oxide, etc. For example a Natural Gas plant that emits CO2 is not even remotely "dirty" the way that a Coal plant is. When you trivialize the issue you're training people to stop caring about pollution that actually causes acute and immediate health consequences to the people around it.

gspr•1mo ago
> For example a Natural Gas plant that emits CO2 is not even remotely "dirty" the way that a Coal plant is.

Wait, are you saying that because there is more than one way to be dirty (I agree, there is), then something that is (far) less dirty by being dirty in fewer of those ways can't possibly be called dirty at all? I really struggle with this logic.

jgalt212•1mo ago
If I know you're being deceptive about A, I'm more likely to assume you're being deceptive about B as well. Reputation matters.
black6•1mo ago
CO2 is plant food. It's amazing how the spin has affected so many generations. Much much worse than that for the environment are particulates from incomplete combustion, NOx from poor combustion, et cetera.
Lerc•1mo ago
I'm interested in how accurate "America’s Dirtiest Carbon Polluters" is when they are measuring "CO2 emissions from fossil fuel combustion". I assume the majority of carbon pollution comes from fossil fuel combustion, but that is just an assumption. It would be nice to have that explicitly shown.

A quick search suggests %90 percent of human caused CO2 emission is from fossil fuel consumption (things like calcium carbonate produce half of cement emissions). All cause emissions of CO2 dwarfs human emissions, but as part of a cycle that consumes CO2 as well.

Lerc•1mo ago
I am curious as to what part of this comment is accruing downvotes, it seems entirely uncontroversial. Are readers interpreting it as taking a stance on something? If so, in which direction?
wood_spirit•1mo ago
A better link would be the press release with the map? https://news.nau.edu/gurney-co2/
JimmyBuckets•1mo ago
The link from OP also has the map
epaga•1mo ago
Look at that, it correlates to Martha Stewart Living subscribers. https://xkcd.com/1138/
jmclnx•1mo ago
So high population areas emit more carbon, who knew :)