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System 7 natively boots on the Mac mini G4

https://macos9lives.com/smforum/index.php?topic=7711.0
212•ibobev•8h ago•36 comments

WinApps: Run Windows apps as if they were a part of the native Linux OS

https://github.com/winapps-org/winapps
179•klaussilveira•3d ago•70 comments

Airbus A320 – intense solar radiation may corrupt data critical for flight

https://www.airbus.com/en/newsroom/press-releases/2025-11-airbus-update-on-a320-family-precaution...
344•pyrophoenix•14h ago•94 comments

Garfield's Proof of the Pythagorean Theorem

https://en.wikipedia.org/wiki/Garfield%27s_proof_of_the_Pythagorean_theorem
48•benbreen•5h ago•23 comments

Show HN: Explore what the browser exposes about you

https://neberej.github.io/exposedbydefault/
72•coffeecoders•4d ago•28 comments

Every mathematician has only a few tricks (2020)

https://mathoverflow.net/questions/363119/every-mathematician-has-only-a-few-tricks
147•nill0•10h ago•30 comments

Belgian Police exposed using botnets to manipulate EU data law impact assessment

https://old.reddit.com/r/europe/comments/1p9kxhm/belgian_federal_police_forgot_to_turn_their_vpn/
49•saubeidl•52m ago•6 comments

Imgur geo-blocked the UK, so I geo-unblocked my network

https://blog.tymscar.com/posts/imgurukproxy/
412•tymscar•17h ago•141 comments

Confessions of a Software Developer: No More Self-Censorship

https://kerrick.blog/articles/2025/confessions-of-a-software-developer-no-more-self-censorship/
240•Kerrick•13h ago•208 comments

So you wanna build a local RAG?

https://blog.yakkomajuri.com/blog/local-rag
308•pedriquepacheco•19h ago•70 comments

Molly: An Improved Signal App

https://molly.im/
352•dtj1123•18h ago•207 comments

A triangle whose interior angles sum to zero

https://www.johndcook.com/blog/2025/11/28/tricusp-triangle/
113•tzury•11h ago•50 comments

I Know We're in an AI Bubble Because Nobody Wants Me

https://petewarden.com/2025/11/29/i-know-were-in-an-ai-bubble-because-nobody-wants-me-%f0%9f%98%ad/
27•iparaskev•1h ago•9 comments

Airloom – 3D Flight Tracker

https://objectiveunclear.com/airloom.html
232•azinman2•19h ago•71 comments

Show HN: Anthony Bourdain's Lost Li.st's

https://bourdain.greg.technology/
46•gregsadetsky•3d ago•16 comments

Language is primarily a tool for communication rather than thought (2024) [pdf]

https://gwern.net/doc/psychology/linguistics/2024-fedorenko.pdf
73•netfortius•21h ago•30 comments

The original ABC language, Python's predecessor (1991)

https://github.com/gvanrossum/abc-unix
109•tony•16h ago•36 comments

The risk of round numbers and sharp thresholds in clinical practice

https://www.nature.com/articles/s41746-025-02079-y
31•asplake•1w ago•6 comments

28M Hacker News comments as vector embedding search dataset

https://clickhouse.com/docs/getting-started/example-datasets/hackernews-vector-search-dataset
407•walterbell•18h ago•153 comments

Show HN: Choose your own adventure style Presentation

https://github.com/Skarlso/adventure-voter
42•skarlso•1w ago•9 comments

Electron vs. Tauri

https://www.dolthub.com/blog/2025-11-13-electron-vs-tauri/
89•birdculture•15h ago•46 comments

How stealth addresses work in Monero

https://www.johndcook.com/blog/2025/11/24/monero-stealth-addresses/
17•ibobev•4d ago•7 comments

Show HN: Mu – The Micro Network

https://github.com/asim/mu
41•asim•4d ago•23 comments

Comments on "Glauert's optimum rotor disk revisited"

https://wes.copernicus.org/preprints/wes-2025-105/
3•bouchard•4d ago•1 comments

Don't tug on that, you never know what it might be attached to (2016)

https://blog.plover.com/2016/07/01/#tmpdir
128•todsacerdoti•20h ago•60 comments

I mathematically proved the best "Guess Who?" strategy [video]

https://www.youtube.com/watch?v=_3RNB8eOSx0
67•surprisetalk•6d ago•17 comments

A first look at Django's new background tasks

https://roam.be/notes/2025/a-first-look-at-djangos-new-background-tasks/
115•roam•14h ago•28 comments

True P2P Email on Top of Yggdrasil Network

https://github.com/JB-SelfCompany/Tyr
146•basemi•19h ago•24 comments

Fabric Project

https://github.com/Fabric-Project/Fabric
52•brcmthrowaway•13h ago•18 comments

How good engineers write bad code at big companies

https://www.seangoedecke.com/bad-code-at-big-companies/
344•gfysfm•16h ago•232 comments
Open in hackernews

I Know We're in an AI Bubble Because Nobody Wants Me

https://petewarden.com/2025/11/29/i-know-were-in-an-ai-bubble-because-nobody-wants-me-%f0%9f%98%ad/
26•iparaskev•1h ago

Comments

bluesky19283746•56m ago
It's good that you didn't give up ! So i understand correctly,they spend more even thought They can, optimize and spend less ?
iparaskev•52m ago
OP here, I didn't write the post, but found it interesting and posted it here.

> So i understand correctly, they spend more even thought They can, optimize and spend less

This is what I understand as well, we could utilise the hw better today and make things more efficient but instead we are focusing on making more. TBH I think both need to happen, money should be spent to make better more performant hw and at the same time squeeze any performance we can from what we already have.

_heimdall•28m ago
I believe the author is making the point that the companies spending all this money on hardware aren't concerned at all with how the hardware is actually used.

Optimization isn't even being considered because its the total cost spent on hardware that is the goal, not output from the hardware.

saagarjha•29m ago
This is just not correct. Also nobody is making optimization startups because if you cared you’d have an in house team working on it.
numbers_guy•24m ago
There are a few "optimization startups". But in this context I find it a bit ironic that pretty much everyone is working with the same architecture, and the same hardware for the most part, so actually there isn't really that much demand for bespoke optimizations.
ACCount37•7m ago
And when you have enough spending to account for 1%+ of revenue for the AI hardware companies?

You can get the engineers from those very hardware companies to do bespoke optimizations for your specific high load use cases. That's something a startup would struggle to match.

numbers_guy•27m ago
> When I look around, I see hundreds of billions of dollars being spent on hardware – GPUs, data centers, and power stations. What I don’t see are people waving large checks at ML infrastructure engineers like me and my team.

That doesn't seem to be the case to me. I guess the author wants to do everything on his own terms and maybe companies aren't interested in that.

neffy•23m ago
If they optimize though - and this is coming at some point - local AI becomes possible, and their entire business case as a cloud monopoly evaporates. I think they know they're in a race between centralized control, and widespread use and control, and that is what is really driving this.
qprofyeh•20m ago
While I agree there’s a lack of attention for the impact of software engineers on near-term industry growth — rather the opposite with layoffs and agentic automation (attempts) et cetera; the mentioned Scott Gray is working at OpenAI now, so the human capital angle is I guess just flying under the mainstream radar.

OTOH garage-startup acquisitions are acquihires.