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France's homegrown open source online office suite

https://github.com/suitenumerique
228•nar001•2h ago•121 comments

British drivers over 70 to face eye tests every three years

https://www.bbc.com/news/articles/c205nxy0p31o
14•bookofjoe•12m ago•4 comments

Start all of your commands with a comma (2009)

https://rhodesmill.org/brandon/2009/commands-with-comma/
380•theblazehen•2d ago•135 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
65•AlexeyBrin•3h ago•12 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
42•onurkanbkrc•3h ago•2 comments

OpenCiv3: Open-source, cross-platform reimagining of Civilization III

https://openciv3.org/
749•klaussilveira•18h ago•234 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
1005•xnx•23h ago•571 comments

Coding agents have replaced every framework I used

https://blog.alaindichiappari.dev/p/software-engineering-is-back
113•alainrk•3h ago•125 comments

Show HN: One-click AI employee with its own cloud desktop

https://cloudbot-ai.com
9•fainir•1h ago•4 comments

First Proof

https://arxiv.org/abs/2602.05192
13•samasblack•42m ago•7 comments

Stories from 25 Years of Software Development

https://susam.net/twenty-five-years-of-computing.html
9•vinhnx•1h ago•1 comments

Vocal Guide – belt sing without killing yourself

https://jesperordrup.github.io/vocal-guide/
138•jesperordrup•8h ago•55 comments

Unseen Footage of Atari Battlezone Arcade Cabinet Production

https://arcadeblogger.com/2026/02/02/unseen-footage-of-atari-battlezone-cabinet-production/
93•videotopia•4d ago•22 comments

A Fresh Look at IBM 3270 Information Display System

https://www.rs-online.com/designspark/a-fresh-look-at-ibm-3270-information-display-system
8•rbanffy•3d ago•0 comments

Ga68, a GNU Algol 68 Compiler

https://fosdem.org/2026/schedule/event/PEXRTN-ga68-intro/
30•matt_d•4d ago•6 comments

Making geo joins faster with H3 indexes

https://floedb.ai/blog/how-we-made-geo-joins-400-faster-with-h3-indexes
148•matheusalmeida•2d ago•40 comments

Show HN: Look Ma, No Linux: Shell, App Installer, Vi, Cc on ESP32-S3 / BreezyBox

https://github.com/valdanylchuk/breezydemo
254•isitcontent•18h ago•27 comments

Monty: A minimal, secure Python interpreter written in Rust for use by AI

https://github.com/pydantic/monty
267•dmpetrov•18h ago•142 comments

Show HN: Kappal – CLI to Run Docker Compose YML on Kubernetes for Local Dev

https://github.com/sandys/kappal
10•sandGorgon•2d ago•2 comments

Hackers (1995) Animated Experience

https://hackers-1995.vercel.app/
533•todsacerdoti•1d ago•258 comments

Sheldon Brown's Bicycle Technical Info

https://www.sheldonbrown.com/
409•ostacke•1d ago•105 comments

Show HN: I spent 4 years building a UI design tool with only the features I use

https://vecti.com
354•vecti•20h ago•160 comments

Show HN: If you lose your memory, how to regain access to your computer?

https://eljojo.github.io/rememory/
324•eljojo•21h ago•198 comments

What Is Ruliology?

https://writings.stephenwolfram.com/2026/01/what-is-ruliology/
55•helloplanets•4d ago•56 comments

An Update on Heroku

https://www.heroku.com/blog/an-update-on-heroku/
451•lstoll•1d ago•296 comments

Microsoft open-sources LiteBox, a security-focused library OS

https://github.com/microsoft/litebox
365•aktau•1d ago•191 comments

Cross-Region MSK Replication: K2K vs. MirrorMaker2

https://medium.com/lensesio/cross-region-msk-replication-a-comprehensive-performance-comparison-o...
6•andmarios•4d ago•1 comments

How to effectively write quality code with AI

https://heidenstedt.org/posts/2026/how-to-effectively-write-quality-code-with-ai/
294•i5heu•21h ago•247 comments

Dark Alley Mathematics

https://blog.szczepan.org/blog/three-points/
103•quibono•5d ago•30 comments

Female Asian Elephant Calf Born at the Smithsonian National Zoo

https://www.si.edu/newsdesk/releases/female-asian-elephant-calf-born-smithsonians-national-zoo-an...
54•gmays•13h ago•22 comments
Open in hackernews

Google scores six-year Meta cloud deal worth over $10B

https://www.cnbc.com/2025/08/21/google-scores-six-year-meta-cloud-deal-worth-over-10-billion.html
111•herpderperator•5mo ago

Comments

petesergeant•5mo ago
Would be very interested to know how this is structured, as presumably it's a hedge for Meta's uncertainty about how much compute they'll need.
pwarner•5mo ago
Meta is planning to spend $65B+ on capex this year. That's a lot of data centers. Why do they need a tiny bit more from Google?
bmau5•5mo ago
Assuming this has a lot to do with Google's TPUs. Google is well positioned to be the AWS for AIs given the increased efficiency of TPUs, which only they have.
geodel•5mo ago
Could be other way round too. Meta wants to use their own data centers capacity for their custom AI solutions. Generic compute and storage for online and batch workloads can be moved to Google cloud infra.
bmau5•5mo ago
Yep definitely could be
yencabulator•5mo ago
Also, AI training can be centralized but user serving benefits from being close to the user. So Meta might be building huge new data centers for AI training and centralized analytics etc, while using plenty of DCs owned by others around the globe to run their apps.
thewebguyd•5mo ago
Assuming they don’t screw it up. Google has a ton of great stuff but when it comes to actually making into a product they flounder. GCP still needs a lot of work.
okdood64•5mo ago
What more of a product do you need than being able to boot a machine with a TPU strapped on at relative low cost?
burnt-resistor•5mo ago
GCP did that by firing senior support people and replacing them with more junior, offshore ones.
liuliu•5mo ago
GCP getting second tier TPU allocation b/c TPU cannot be enough to meet GDM needs. At this point, it would be very stupid for external customers betting on TPUs (I am looking at Apple).
bmau5•5mo ago
Why would it be stupid?
okdood64•5mo ago
> second tier TPU allocation

What exactly does this mean?

barkingcat•5mo ago
Probably that there are already several generations of TPU hardware - the best ones go to internal use, while the older hardware gets rented out to gcp to amortize the development costs.
liuliu•5mo ago
That's correct. Unless Zuck is OK with using one-generation older TPU, which is a possibility.
richdougherty•5mo ago
Seems likely because the article says "Meta’s deal with Google is mainly around artificial intelligence infrastructure, said one of the people".
mandeepj•5mo ago
> That's a lot of data centers. Why do they need a tiny bit more from Google?

Data centers don’t pop up overnight, until then they are going to use a vendor :-)

foobiekr•5mo ago
this is the correct answer.
vasco•5mo ago
This can be as simple as someone taking the time to collect all the GCP accounts accumulated over the years for random projects into an enterprise committed spend. Doesn't have to be anything that crazy or new.
calmbonsai•5mo ago
Google needs deal this due to flights away from its cloud.

It can't compete with Azure for simple/coarse-grained services and AWS for complex/fine-grained services.

Atm, Google cloud is only good for cheap high-ram one-run-centric compute (AWS is cheaper for generic compute and reserved compute), simple container execution (Cloud Run), and ~100 TB bulk storage.

thevillagechief•5mo ago
Your phrasing seems off. Why does Meta care what Google needs? It would seem that it's exactly backwards. Meta needs this because training resources are scarce. And Google is in the enviable position of having TPUs.
sokoloff•5mo ago
I read GP as implying GCP would be inclined to negotiate aggressively to be sure to secure this deal, due to the factors they list.

Both companies need to get something out of the deal. Listing the benefits to only one side is probably missing part of the story.

calmbonsai•5mo ago
Yes. That was exactly my point.
mrbungie•5mo ago
> Atm, Google cloud is only good for cheap high-ram one-run-centric compute (AWS is cheaper for generic compute and reserved compute), simple container execution (Cloud Run), and ~100 TB bulk storage.

You are crazy if you imply AWS Athena or Azure Synapse are better than BigQuery.

seatac76•5mo ago
Came here to say that Big Query is a phenomenal product, that alone is a reason for a lot of companies to adopt GCP.
calmbonsai•5mo ago
Unfortunately, I've never used BigQuery in production so I don't feel qualified to comment on it.
simoncion•5mo ago
> [GCP] can't compete with Azure...

Based on my professional experience, when we ignore cost [0] my ranking of the big three for "plain old computing" (that is, just compute, networking, and storage workloads) is AWS, GCP, Azure.

Azure is very, very flaky. Things often break for no clear reason, or things are changed in unexpected ways without warning, and then quietly reverted back. [1] I used to say that the only consistently good thing about Azure was that you could throw an entire Subscription in the trash and have everything in there be destroyed... but even that has become intermittently unreliable!

Given how godawful Azure is, I expect that companies use it either because they think they need it for its AD integration, or because they get very deep discounts on Windows licenses for VMs running on Azure.

[0] Both because I never had to pay the bills and (I assume) our cost estimators were always full of lies because the tooling (and I) had no idea what discounts we had negotiated.

[1] (Don't) ask me about the time Azure added in some sort of multi-minute "cooldown" time for reuse of a statically-assigned IP address that was assigned to a VM that Azure reported was completely destroyed, and we were attempting to assign to a brand new VM. Creation of the new VM kept failing with some wacky error. Azure support was clueless, and the problem vanished and came back several times over the course of a year.

calmbonsai•5mo ago
I concur with your rankings. I was very careful to couch the Google compute cost "win" solely to one-shot-memory-intensive runs--not to any other configuration or long-term reservation.
simoncion•5mo ago
> I was very careful to couch the Google compute cost "win"...

Respectfully, I was very explicit that I was ignoring cost in my ranking.

Azure might have a ton of great features and could be (for all I know) a quarter the cost of GCP. But in my professional experience, I have run into recurring Azure issues that are entirely out of my control that blocked deployment of new VMs for hours and hours (and occasionally days). That's business-disrupting.

barkingcat•5mo ago
It's the ouroboros - snake eating its own tail.
thrown-0825•5mo ago
gotta keep that circular ai hype economy rolling
Aissen•5mo ago
The article is a bit misguided, since it "forgets" to add a bit of context until the penultimate paragraph: Meta is investing 10 times as much in building internal infrastructure capacity — this year alone. This deal is a rounding error (<1.7B / year); and with the scale of cloud costs in general, it's probably even invisible at Meta scale.
bananapub•5mo ago
does anyone know why?

Meta has been doing the full stack integration of internal software down to machine builds for almost as long as google now; what's the point of outsourcing any of it after 20 years?

is it some capex vs opex game? putting fear in the platform engineering people about losing their jobs?

treesknees•5mo ago
Meta likely can’t construct new data centers quickly enough to meet the growing demand for AI. While they have plans to build them, it will take several years. Consequently, they have entered into this six-year contract with Google as a temporary solution.
spwa4•5mo ago
So a fairer way of putting this would be Meta pays Google $10B for AI ... and NVidia ... about 600B, maybe 700B over the same period.