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Towards Self-Driving Codebases

https://cursor.com/blog/self-driving-codebases
1•edwinarbus•40s ago•0 comments

VCF West: Whirlwind Software Restoration – Guy Fedorkow [video]

https://www.youtube.com/watch?v=YLoXodz1N9A
1•stmw•1m ago•1 comments

Show HN: COGext – A minimalist, open-source system monitor for Chrome (<550KB)

https://github.com/tchoa91/cog-ext
1•tchoa91•2m ago•0 comments

FOSDEM 26 – My Hallway Track Takeaways

https://sluongng.substack.com/p/fosdem-26-my-hallway-track-takeaways
1•birdculture•2m ago•0 comments

Show HN: Env-shelf – Open-source desktop app to manage .env files

https://env-shelf.vercel.app/
1•ivanglpz•6m ago•0 comments

Show HN: Almostnode – Run Node.js, Next.js, and Express in the Browser

https://almostnode.dev/
1•PetrBrzyBrzek•6m ago•0 comments

Dell support (and hardware) is so bad, I almost sued them

https://blog.joshattic.us/posts/2026-02-07-dell-support-lawsuit
1•radeeyate•7m ago•0 comments

Project Pterodactyl: Incremental Architecture

https://www.jonmsterling.com/01K7/
1•matt_d•7m ago•0 comments

Styling: Search-Text and Other Highlight-Y Pseudo-Elements

https://css-tricks.com/how-to-style-the-new-search-text-and-other-highlight-pseudo-elements/
1•blenderob•9m ago•0 comments

Crypto firm accidentally sends $40B in Bitcoin to users

https://finance.yahoo.com/news/crypto-firm-accidentally-sends-40-055054321.html
1•CommonGuy•10m ago•0 comments

Magnetic fields can change carbon diffusion in steel

https://www.sciencedaily.com/releases/2026/01/260125083427.htm
1•fanf2•11m ago•0 comments

Fantasy football that celebrates great games

https://www.silvestar.codes/articles/ultigamemate/
1•blenderob•11m ago•0 comments

Show HN: Animalese

https://animalese.barcoloudly.com/
1•noreplica•11m ago•0 comments

StrongDM's AI team build serious software without even looking at the code

https://simonwillison.net/2026/Feb/7/software-factory/
2•simonw•11m ago•0 comments

John Haugeland on the failure of micro-worlds

https://blog.plover.com/tech/gpt/micro-worlds.html
1•blenderob•12m ago•0 comments

Show HN: Velocity - Free/Cheaper Linear Clone but with MCP for agents

https://velocity.quest
2•kevinelliott•13m ago•2 comments

Corning Invented a New Fiber-Optic Cable for AI and Landed a $6B Meta Deal [video]

https://www.youtube.com/watch?v=Y3KLbc5DlRs
1•ksec•14m ago•0 comments

Show HN: XAPIs.dev – Twitter API Alternative at 90% Lower Cost

https://xapis.dev
2•nmfccodes•15m ago•1 comments

Near-Instantly Aborting the Worst Pain Imaginable with Psychedelics

https://psychotechnology.substack.com/p/near-instantly-aborting-the-worst
2•eatitraw•21m ago•0 comments

Show HN: Nginx-defender – realtime abuse blocking for Nginx

https://github.com/Anipaleja/nginx-defender
2•anipaleja•21m ago•0 comments

The Super Sharp Blade

https://netzhansa.com/the-super-sharp-blade/
1•robin_reala•22m ago•0 comments

Smart Homes Are Terrible

https://www.theatlantic.com/ideas/2026/02/smart-homes-technology/685867/
1•tusslewake•24m ago•0 comments

What I haven't figured out

https://macwright.com/2026/01/29/what-i-havent-figured-out
1•stevekrouse•25m ago•0 comments

KPMG pressed its auditor to pass on AI cost savings

https://www.irishtimes.com/business/2026/02/06/kpmg-pressed-its-auditor-to-pass-on-ai-cost-savings/
1•cainxinth•25m ago•0 comments

Open-source Claude skill that optimizes Hinge profiles. Pretty well.

https://twitter.com/b1rdmania/status/2020155122181869666
3•birdmania•25m ago•1 comments

First Proof

https://arxiv.org/abs/2602.05192
8•samasblack•27m ago•3 comments

I squeezed a BERT sentiment analyzer into 1GB RAM on a $5 VPS

https://mohammedeabdelaziz.github.io/articles/trendscope-market-scanner
1•mohammede•28m ago•0 comments

Kagi Translate

https://translate.kagi.com
2•microflash•29m ago•0 comments

Building Interactive C/C++ workflows in Jupyter through Clang-REPL [video]

https://fosdem.org/2026/schedule/event/QX3RPH-building_interactive_cc_workflows_in_jupyter_throug...
1•stabbles•30m ago•0 comments

Tactical tornado is the new default

https://olano.dev/blog/tactical-tornado/
2•facundo_olano•32m ago•0 comments
Open in hackernews

The AI water issue is fake

https://andymasley.substack.com/p/the-ai-water-issue-is-fake
34•theptip•2mo ago

Comments

verdverm•2mo ago
nice to see a post with lots of data and sources

what comes out of the AI datacenters, and what that will do to society, is far more concerning to me than the water and electricity, which are trivial to address by comparison

ls612•2mo ago
Of course it’s fake. The datacenters aren’t consuming the water as part of their operation they are using it as a supersized version of a custom loop PC.

I worry though that the fact that people seem to see political upside in claiming this will lead to data center NIMBYism and a future where building more compute will be as hard as building more housing, with all of the follow on effects on prices.

amelius•2mo ago
A constant growth rate of datacenters will consume water at a fixed rate, though. And the growth rate is more likely to be exponential.
jokowueu•2mo ago
It's not a closed loop though , many use evaporative cooling towers ( wet towers )
ls612•2mo ago
But that water remains in the water cycle. With agriculture the water goes into the crops and is then shipped off to other places, exiting the water cycle of its origin.
donohoe•2mo ago
That's backwards. When data centers evaporate water for cooling, it becomes vapor that blows away to fall as rain somewhere else then it's gone from the local area or its discharged a waste water. Farm water mostly stays put but plants release it back into the local air, excess irrigation soaks into local groundwater, and only a fraction leaves in the harvested crops.

Farmers can reuse the same local water year after year. Data centers need fresh water constantly because their evaporated water doesn't come back.

relaxing•2mo ago
“But the water cycle” is the dunning-krugerest counter argument of them all. It assumes the reader doesn’t remember 4th grade science class, while misapplying that same basic knowledge.
ls612•2mo ago
There’s a fundamental difference between water ending up in a tomato which is shipped across the world and leaves permanently and water that evaporates and rains down later. Regardless of whatever names you call me that is true.
donohoe•2mo ago
The datacenters ARE consuming the water as part of their operation.
simonw•2mo ago
This article was first published over a month ago, but Andy just added the section on potable water as a result of this Hacker News comments conversation from a couple of days ago: https://news.ycombinator.com/item?id=45926469#45926914
mdorazio•2mo ago
The uproar over AI data center resource use has been rather bizarre to see and feels vaguely luddite. As this article points out, frivolous things like golf courses are far worse users of fresh water (and land) than any amount of AI. And on the electricity side, forcing the US to actually build more power generating capacity and infrastructure is a good thing in my book. Once the AI hype dies down we can use that for BEVs and other useful things.
ls612•2mo ago
AI is becoming a partisan issue in the US with all of the attendant consequences.
api•2mo ago
It’s because a bunch of the tech elite backed Trump, therefore anything tech related must now be evil according to people left of center.

If they’d all opposed Trump you’d see MAGA people making up any reason for anything tech to be evil and calling for AI to be outlawed, and lefty puff pieces about how wonderful and liberating AI is.

Reality is now subordinate to political hyper partisanship. If Trump says the sky is blue, the left thinks it must be green. If Trump says it’s green, MAGA people will swear they see green and seeing blue would become “woke.”

shalmanese•2mo ago
> And on the electricity side, forcing the US to actually build more power generating capacity and infrastructure is a good thing in my book.

Electricity use is fungible. Every extra TW-hr of marginal demand is one coal plant that is delayed an extra year from being mothballed, spewing one extra quantum of CO2 into the atmosphere, adding one increment to the greenhouse effect.

hermannj314•2mo ago
Data centers don't create jobs, pit municipalities against one another in a race to the bottom, and typically demand abated taxes and almost never deliver a net positive for where they operate.

But if you create a "water" monster, pivot the conversation on water being the issue, you can then show water consumption isn't a big deal. Water is the framing the data centers want because they can win the fight on that topic.

Don't let your enemy choose the terrain.

gruez•2mo ago
>pit municipalities against one another in a race to the bottom, and typically demand abated taxes and almost never deliver a net positive for where they operate.

If datacenters are net negatives, why would municipalities compete to get them?

hg9yg9•2mo ago
They're a net negative for the people who live there, not necessarily the business or political class making the decisions. See also football stadiums and the Olympics.
Ekaros•2mo ago
Short term they sound good and promising. They are techy and promise quite large employment, and investments sounds big.

The reality is lot worse. Building walls isn't that much investment to local labour. And most of the value is in components that come from somewhere else. After install, they run on handful of guards and techs. Not worst jobs, but general in general any type of factory or even small scale industry would be better.

pants2•2mo ago
FYI on the jobs, CoreWeave's new AI center in Pennsylvania: 100 MW capacity, ~70–75 full-time technical roles initially, scaling to 175 full-time roles at ~300 MW.
topaz0•2mo ago
This is a big oversimplification. First, the 20% (of all datacenter usage being LLMs) is based on 2024 estimates, while meanwhile all of the LLM players are putting billions of dollars into building more and larger datacenters. This number undoubtedly already gives an underestimate for total LLM power usage, and if all of the planned datacenters actually materialize (which is a big if), it will be an underestimate by an order of magnitude or maybe two.

Second, water issues are localized, and building datacenters in dry areas (like Texas), where aquifers are already being depleted, is going to be an issue there, even if it's a drop in the bucket of the great lakes or whatever.

donohoe•2mo ago
The AI water issue isn't fake, though it's often overstated.

The key problem is that data center evaporative cooling permanently removes water from local systems, unlike irrigation or golf courses where some water returns to groundwater, evaporated cooling water is lost to the atmosphere and must be continuously replenished.

While 0.008% of national freshwater seems tiny, the author misses the local impact. In water-stressed regions, even "small" demands matter. Comparing to golf courses in Phoenix sets the bar absurdly low, "less wasteful than the worst example" shouldn't be the standard.

The author dismisses 905M gallons in Maricopa County as "only 0.12%" of county use, but in a desert already overdrawing groundwater, that's 905M gallons unavailable for human needs.

The media has exaggerated, sure. But calling legitimate resource concerns "fake" swings way too far the other way. We need careful planning for data center locations, not dismissal of water consumption because other industries use more.

gruez•2mo ago
>The key problem is that data center evaporative cooling permanently removes water from local systems, unlike irrigation or golf courses where some water returns to groundwater, evaporated cooling water is lost to the atmosphere and must be continuously replenished.

But farms and golf courses suffer from evaporation as well, so that argument really only means you can discount farm/golf water usage by some fraction (eg. 50%). Considering the consumption figures are 0.08% for datecenters and the 8% for golf courses, the argument still holds up.

simonw•2mo ago
> The author dismisses 905M gallons in Maricopa County as "only 0.12%" of county use, but in a desert already overdrawing groundwater, that's 905M gallons unavailable for human needs.

Can you help explain what 905M gallons of water means?

My biggest problem with the data center water debate continues to be people throwing around big scary numbers like that without attempting to provide context for them.

(I found one estimate that the average US resident uses 30,000 gallons per year, which would make 900,000,000 gallons the same as 30,000 people.)

relaxing•2mo ago
So imagine 30,000 people suddenly appear in the empty lot next door needing water.
ben_w•2mo ago
I'm not trusting the linked blog itself, so I looked up the sources it used. The blog is claiming:

> estimates that data centers in Maricopa County will use 905 million gallons of water in 2025

One reason I don't trust this blog, is that this text links out, but the link itself ends in:

  utm_source=chatgpt.com#:~:text=At%20the%20state,annual%20water%20use.
And when I follow through, the actually linked text (on domain circleofblue.org) says:

  Walsh’s research at Bluefield indicates that data center water consumption in Arizona in 2025 will be roughly 905 million gallons
Not being an American, I had to look up Maricopa country; according to Wikipedia, it's 62% of the state's total population, so lots, but definitely not all; and according to this other list of data centres, it has most (but still not all) of Arizona's data centers: https://www.datacenters.com/locations/united-states/arizona

Either way, whoever made this blog post, wasn't paying quite close enough attention to the sources for my taste. Don't mind people using ChatGPT as a search engine (it's better than Google these days, after all), but this does feel like a blog that was vibed, not one that was carefully curated.

Now, if the circleofblue.org claim about 905 million gallons is true, I can compare it to the claim on the hopefully-trustworthy arizona.edu domain that "Arizona used 7.0 million acre-feet of water in 2017": https://mapazdashboard.arizona.edu/article/arizonas-water-us... and the state population of 7,582,384 and can see this is very close to approximately one acre-foot of water per person per year, but I don't need to be approximated when I can do an exact calculation in Wolfram Alpha and get 300,824 gallons/person/year: https://www.wolframalpha.com/input?i=7+million+acre-feet+%2F...

This makes 905 million gallons/year equivalent to 3,008 people, not 30k, but remember this also includes all the other industry, farming, etc.: https://www.wolframalpha.com/input?i=%28905+million+gallons%...

But the two really important parts here are (1): according to the previously mentioned map of Arizona's data centres and circleofblue.org link, that's for all 108 data centres across Arizona not just one; (2) 102 of the 108 data centres are in Phoenix, which has a population of about 1.6 million and isn't going to notice the impact of 30k, let alone 3k, extra residents.

(But then, can I trust circleofblue.org and datacenters.com? Is anything on the internet trustworthy any more?)

relaxing•2mo ago
Ok so imagine 3,000 people suddenly appear in the empty lot next door needing water.
ben_w•2mo ago
Imagine if literally all 108 of the data centres in Arizona moved next door to you at the same time.

*All* 108, *combined*, use the water of 3000 people.

3000 people is less than half of Cambridge Science Park: https://www.google.com/maps/place/Cambridge+Science+Park/@52...

In order, I'd be worried about the electricity, the traffic, the policing (because it's suddenly filled with dense high-value equipment), the noise of the cooling systems, the impact on local scenic views, and the likelihood of enough protestors (for all the obvious reasons) to be directly disruptive to locals even when well-behaved.

But water? Nope.

The Tesla Gigafactory in Brandenburg originally called for 1.8 million cubic meters or 475 million gallons, which would have been half of all 108 the data centres in Arizona combined. Of course, then demand for Teslas in Germany went down, so they never actually used that much, but that's the scale difference here: one single (big) factory is on par with half an entire state's worth of DCs.

6510•2mo ago
The word "desalination" pops to mind.
relaxing•2mo ago
> it gives the utility more money to spend on drawing more water and improve infrastructure.

Deeply unserious, gradeschool-level economics. “Infrastructure” isn’t a marginal cost you can smoothly ramp up when a big new consumer comes online.

andymasley•2mo ago
Why then is there a general negative correlation between the cost of potable water and the population of an area in places where freshwater is plentiful? There's a lot of literature on water economics and this pattern usually holds.
relaxing•2mo ago
Because that’s looking at the macro level when the problems are occurring at the micro level.

Or more generally, what you said has nothing to do with it.

watersissue•2mo ago
> The AI water issue is fake

What a relief!

So, I guess we can expect advocates to avoid any hilariously weak strawmen then, right?

So, the regulation making evaporative cooling illegal in datacenters is being voted into law as we speak, right?

Since its such a fake issue, then regulation capping datacenter water use is being voted into law as we speak, right? Should be straightforward enough since we know exactly how much water that is needed and being used, right?

api•2mo ago
I see the energy issue as kind of fake too. Either we get our power from polluting sources or we don’t. Highlighting one specific use of energy detracts from that. Now it’s about that specific use and not where we get all energy for all uses.

The net is full of loud anti-AI people who will scream about power use and carbon emissions and then order tacos through DoorDash and crank up their heat or A/C. It’s all energy use.

doubttherich•2mo ago
Increasing energy demand increases incentives for less clean sources. Is it really that hard for you to understand? Your either or false dochotomy is some highschool debatebro level ignorant shit.
pavon•2mo ago
It is a real concern mostly due to the time frame in which energy production needs to be increased. It can't be met solely by building new clean (or fossil fuel) energy, and thus must result in delaying the shutdown of coal plants in addition to new production.
api•2mo ago
The data is easy to find. Five second search turns up:

https://wolfstreet.com/wp-content/uploads/2024/04/US-coal-20...

This ends mid 2024, but I don’t see any evidence of a coal renaissance. I suppose we could be seeing some old dinosaur burners kept online a few years longer, but coal peaked in the early 2000s and has been in decline since.

ben_w•2mo ago
For whatever reason, Musk's data centre was powered by gas turbines rather than renewables, leading to lawsuits about air pollution.

Whatever the specific reason was (IDK, tariffs on cheap Chinese PV that would have otherwise been a better option?), what people are noticing is a lot of non-green energy being used for these data centres.

doubttherich•2mo ago
Using national aggregated statistics for water is extremely misleading. And pretending one datacenter using 2% of a county's water supply isn't a huge deal demonstrates a complete disconnect from reality. Spin the numbers all you want, this is nuts.
andymasley•2mo ago
Well that's why I cover things at the national, local, and personal level separately. I think if this were any other industry using 2% of a county's water you wouldn't have much of a reaction. In most countries only ~20% of the water is used by households, the rest goes to farms, industry, and commercial buildings