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Meta is about to start grading workers on their AI skills

https://www.businessinsider.com/meta-ai-employee-performance-review-overhaul-2025-11
1•pella•3m ago•0 comments

You should still be writing code from your editor

https://github.com/sourcegraph/amp.nvim/pull/28
1•MorehouseJ09•4m ago•2 comments

Wikipedia and the Destruction of Trust [video]

https://www.youtube.com/watch?v=9zi0ogvPfCA
1•mpartel•7m ago•0 comments

Show HN: The Put Monolith – A Minimal AI-Ingestible Ruleset

https://github.com/publicusagetax/PUT-Monolith-v2
1•publicusagetax•10m ago•0 comments

Upgrading to Raspberry Pi OS Trixie

https://smist08.wordpress.com/2025/11/16/upgrading-to-raspberry-pi-os-trixie/
1•ingve•15m ago•0 comments

Britain to make refugee status temporary

https://www.reuters.com/world/uk/britain-announces-largest-asylum-policy-overhaul-modern-times-20...
2•PessimalDecimal•15m ago•0 comments

Adding an imaginary unit to a finite field

https://www.johndcook.com/blog/2025/11/16/finite-field-i/
2•ibobev•17m ago•0 comments

Linux mode setting, from the comfort of OCaml

https://roscidus.com/blog/blog/2025/11/16/libdrm-ocaml/
1•ibobev•17m ago•0 comments

Super human Stratego with RL and test time search

https://arxiv.org/abs/2511.07312
1•algo_trader•18m ago•1 comments

62 chapter open-source Zig book

https://www.zigbook.net
2•rudedogg•19m ago•0 comments

Bitcoin Is Falling and Crypto Stocks Are Crashing

https://www.theinformation.com/articles/bitcoin-falling-crypto-stocks-crashing
1•JumpCrisscross•19m ago•0 comments

Double Bind

https://en.wikipedia.org/wiki/Double_bind
1•walterbell•19m ago•0 comments

Show HN: Tsofa – The Simple, Offline Flashcard App

https://inventwithpython.com/tsofa/
1•AlSweigart•21m ago•0 comments

How A Narcissist Conducts Psychological Warfare (2019)

https://www.psychologytoday.com/us/blog/peaceful-parenting/201901/how-a-narcissist-conducts-psych...
3•walterbell•22m ago•0 comments

AI Is the Bubble to Burst Them All

https://www.wired.com/story/ai-bubble-will-burst/
4•AlphaWeaver•23m ago•0 comments

Tracking users with favicons, even in incognito mode

https://github.com/jonasstrehle/supercookie
2•vxvrs•23m ago•0 comments

Dark Pattern Games

https://www.darkpattern.games
3•robotnikman•24m ago•0 comments

AMD vs. Intel: A Unicode Benchmark

https://lemire.me/blog/2025/11/16/amd-vs-intel-a-unicode-benchmark/
1•ibobev•25m ago•0 comments

Octopii, a batteries included framework for building distributed systems in Rust

https://github.com/octopii-rs/octopii
4•nubskr•26m ago•3 comments

Layanan Pelanggan Agoda 24 Jam

1•Kopi1•26m ago•0 comments

Ask HN: What were the best books you read in 2025?

2•dom96•27m ago•1 comments

Layanan Agoda 24 Jam

1•Kopi1•28m ago•0 comments

To be desirable is currency. To desire is liability

https://amycoded.substack.com/p/everyone-wants-to-be-desired-no-one
1•schyzomaniac•33m ago•1 comments

I've been building an HTML-first tool – sharing it in case it helps someone

2•guseyn•33m ago•1 comments

Thermostats: Tuning Team Temperature

https://another.rodeo/thermostats/
1•mooreds•34m ago•0 comments

Show HN: ResendForward – OS server and UI for use with Resend.com inbound

https://github.com/lsherman98/resendforward
1•lsherman98•35m ago•0 comments

The Challenge of Large File Checksums

https://www.ppppp.dev/the-challenge-of-large-file-checksums/
2•I_like_tomato•39m ago•1 comments

The 70% Problem: Why Your AI-Generated Service Isn't Production-Ready

https://practicalsecurity.substack.com/p/the-70-problem-why-your-ai-generated
1•atilla_bilgic•39m ago•0 comments

Florentine Diamond Was Thought to Be Lost. It's Been Tucked Away in Bank Vault

https://www.smithsonianmag.com/smart-news/this-florentine-diamond-was-thought-to-be-lost-to-histo...
1•ulrischa•40m ago•0 comments

The fate of "small" open source

https://nolanlawson.com/2025/11/16/the-fate-of-small-open-source/
30•todsacerdoti•42m ago•7 comments
Open in hackernews

The AI water issue is fake

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

Comments

verdverm•1h 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•1h 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•1h 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•1h ago
It's not a closed loop though , many use evaporative cooling towers ( wet towers )
ls612•1h 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•1h 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•40m 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.
donohoe•1h ago
The datacenters ARE consuming the water as part of their operation.
simonw•1h 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•1h 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.
hermannj314•1h 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•1h 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?

Ekaros•50m 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.

topaz0•1h 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•1h 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•1h 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•1h 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•45m ago
So imagine 30,000 people suddenly appear in the empty lot next door needing water.
relaxing•47m 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.