frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Kimi-K3 Technical Report [pdf]

https://github.com/MoonshotAI/Kimi-K3/blob/main/k3_tech_report.pdf
95•vinhnx•29m ago•7 comments

Kimi-K3 Releases on HuggingFace 7/27

https://huggingface.co/moonshotai/Kimi-K3
827•nateb2022•9h ago•366 comments

The Computer That Helped Win World War II

https://spectrum.ieee.org/colossus-computer-ieee-milestone
37•baruchel•4d ago•5 comments

Removing React.js from the codebase and adapting Htmx for UI interactivity (2023)

https://misago-project.org/t/removing-reactjs-from-the-codebase-and-adapting-htmx-for-ui-interact...
111•Ralfp•5h ago•66 comments

Glue bonds to nonstick surfaces and wipes clean with ethanol

https://cen.acs.org/materials/adhesives/glue-bonds-nonstick-surfaces-wipes-clean/104/web/2026/07
10•gmays•4d ago•1 comments

Apple Will 'Watch Everything Burn' When the AI Bubble Bursts

https://www.macrumors.com/2026/07/27/ed-zitron-apple-watch-it-burn-ai-bubble-bursts/
87•thm•1h ago•29 comments

DIY Home Solar System for under $5000

https://www.gavinmai.com/1736354308000-diy-home-solar-backup-system
15•gmaijoe•1h ago•3 comments

How is the Bun Rewrite in Rust going?

https://lockwood.dev/ai/2026/07/27/how-is-the-bun-rewrite-in-rust-going.html
290•tomlockwood•4h ago•198 comments

Should you wash your solar panels?

https://incoherency.co.uk/blog/stories/should-you-wash-your-solar-panels.html
110•surprisetalk•2h ago•78 comments

Libsm64: Mario 64 as a library for use in external game engines

https://github.com/libsm64/libsm64
87•klaussilveira•5h ago•12 comments

PGSimCity - How PostgreSQL Works

https://nikolays.github.io/PGSimCity/
800•jonbaer•15h ago•77 comments

AI companies spend record sums on Washington lobbying

https://www.ft.com/content/d8a5f95e-3b6d-463a-a848-c9ef8e2394db
55•1vuio0pswjnm7•1h ago•17 comments

Magnolias Are So Old That They're Pollinated by Beetles, Not Bees

https://mymodernmet.com/magnolia-ancient-flowers-beetles/
185•speckx•4d ago•76 comments

Building a Fast Lock-Free Queue in Modern C++ from Scratch

https://blog.jaysmito.dev/blog/04-fast-lockfree-queues/
55•ibobev•5d ago•20 comments

VLC for Unity now supported on Linux

https://code.videolan.org/videolan/vlc-unity
85•martz•6h ago•25 comments

Towards a Theory of Bugs: The Ruliology of the Unexpected

https://writings.stephenwolfram.com/2026/07/towards-a-theory-of-bugs-the-ruliology-of-the-unexpec...
36•nsoonhui•3d ago•7 comments

First Robotic Satellite Servicer Launched

https://www.nrl.navy.mil/Media/News/Article/4551871/robotic-servicing-of-geosynchronous-satellite...
28•GlenTheMachine•3d ago•10 comments

Show HN: Physically accurate black hole you can put in your room

https://blackhole.plav.in
423•aplavin•4d ago•153 comments

Minecraft Java raises recommended memory to 16GB ahead of Vulkan transition

https://videocardz.com/newz/minecraft-java-edition-raises-recommended-memory-to-16gb-ahead-of-vul...
16•haunter•41m ago•14 comments

The Birth of the American 12-string Guitar

https://www.harpguitars.net/history/grunewald/12-string.htm
46•bilegeek•5h ago•25 comments

Modern email can be built from borrowed parts

https://en.andros.dev/blog/d7ed8b07/modern-email-can-be-built-from-borrowed-parts/
80•andros•7h ago•36 comments

Shay Locomotives

https://www.shaylocomotives.com/
41•Rygian•6h ago•8 comments

Scriptc by Vercel: TypeScript-to-Native compiler, no JavaScript engine in binary

https://github.com/vercel-labs/scriptc
236•maxloh•17h ago•131 comments

The Proof Machine (2016)

https://incredible.pm/
17•BenoitP•3h ago•1 comments

AI companies are shredding rare books

https://twitter.com/HedgieMarkets/status/2081534588485296565
551•anon373839•3h ago•311 comments

Decker, a platform that builds on the legacy of Hypercard and classic macOS

https://beyondloom.com/decker/
354•tosh•21h ago•85 comments

US citizen charged after GrapheneOS phone wipes during airport search

https://www.techspot.com/news/113236-us-prosecutors-charge-atlanta-man-after-grapheneos-phone.html
1090•eecc•17h ago•827 comments

Google Chrome Arrives on ARM64 Linux, Widevine DRM Included

https://www.omgubuntu.co.uk/2026/07/chrome-arm64-linux-available
48•twapi•4h ago•25 comments

We have proof automation now

https://www.imperialviolet.org/2026/07/26/zstd-lean.html
210•zdw•19h ago•95 comments

Introduction to Data-Oriented Design [pdf]

https://www.gamedevs.org/uploads/introduction-to-data-oriented-design.pdf
226•tosh•21h ago•58 comments
Open in hackernews

Apple Will 'Watch Everything Burn' When the AI Bubble Bursts

https://www.macrumors.com/2026/07/27/ed-zitron-apple-watch-it-burn-ai-bubble-bursts/
79•thm•1h ago

Comments

bananamogul•25m ago
I don't know if Ed Zitron is right about allhis analysis, but it's nice to have an alternative, well-argued narrative to the gushing torrent of AI company propaganda.
Legend2440•11m ago
Is it though? He's more of a gushing torrent of anti-AI propaganda. He has an agenda too, it's just the opposite one.
tptacek•10m ago
There are good sources of well-argued AI skepticism, and then there's Ed Zitron.
ofjcihen•7m ago
At this point I have yet to hear a solid argument against his arguments that use half as much evidence as he does.

That isn’t to say that he’s right, that’s just to say that while he gets creative in his phrasing numbers don’t lie and I haven’t seen anyone else present competing numbers that make sense.

If anyone has them to the degree with which he provides them then please, by all means, I’m interested.

sphinxterai•6m ago
Well he's not a developer or science guy or smart at all so in his view, AI doesn't work because sometimes it makes mistakes.
awakeasleep•9m ago
Read a little more of what he's written before you praise him, so you don't end up looking as dumb as I did.

Ed may be right about some of his claims, but he is 100% a crank, and he makes so many incoherent claims I'd say that if he's right, it's in the nature of a broken clock.

solenoid0937•6m ago
The entire internet is full of anti-AI discussion and a straight up disbelief in any chance of success.

Implying there is a "gushing torrent" of pro AI narrative is bizarrely out of touch. We both know this isn't true.

maxdo•23m ago
I'm so tired of this shallow analysis claiming vendors are losing tons of money on subscriptions. How do you even judge that?

Users go on vacation, they slack off, they spend the day talking to each other. There are very few people who are really effective at burning tokens. how do you know the ratio? do you have insides? No :)

The biggest target is enterprise, and the economics for an LLM vendor look like this: price per token = R&D + inference + infra investments. When you buy a subscription, you are quite often buying a year ahead. That lets the vendor predict future infra investments against hard commitments, and sell expensive per token pricing to everyone else. And when a hard commitment sits unused because the user is busy, they sell it twice. It is loyalty in exchange for predictability, in exchange for the promise to always deliver SOTA to users.

Vendors control the harness. Tomorrow they simply roll out a router where reading the code and doing the final edits goes to a cheaper model, and their math suddenly becomes very sexy.

Isn't that hard to predict that their economic model is very easy to tune? and this is just first baby steps.

I personally pay per token ( do not have subs for work ). I did have once a $25k/mo worth of tokens, since i knew it was free so i was doing crazy experiments. Now , 2 month later, my bill was barely $1.5k since i moved into different stage with project. I do have team members who burn $500-600. pre router, pre optimization.

I switched recently to grok 4.5 and cursor router and my bill will go even further down. It rotates 4-5 different vendor models cheap and expensive too, depends on the task. Routers will flip entire LLM economy upside down.

superbyte•17m ago
Doesn't sound like you've read any of Zitron's analysis
pinkyboy•15m ago
It's fascinating that you simultaneously argue that margins will expand... while posting about personal behavior all of which points toward commoditization and intense price competition.
Zababa•16m ago
>At their very core, Large Language Models' costs run contrary to basically every model of selling software.

>Consumers and enterprises alike have been trained to pay a monthly fee for a service, and while these services might have limits or strictures, basically nobody buying software expects to have a metered service, let alone one that's both metered and with hard to measure costs.

Has Ed Zitron not heard about the cloud? Unpredictable AWS bills?

zabriel_goss•11m ago
Enterprise certainly wouldn't fit. This argument seems to be targeted at the consumer market, which Apple deals in. Consumers are not paying varying Disney+ subscription prices based on how much they watch. So many points are still interesting. Though, I'm not convinced the consumer market is the primary target for AI firms.
thewebguyd•7m ago
Unpredictable AWS bills are a supply-side problem. He's talking about consumer behavior, and consumers of software do not expect a metered service.

But most consumer's aren't paying per token for access to models, so unless that changes and the labs start charging API pricing to everyone, it's kind of a moot point.

scrlk•11m ago
> While people get some sort of benefit out of AI-generated code, these tools actually end up making them slower

Curious that he references a METR study from July 2025, before the leap in model and harness performance towards the end of 2025/early 2026.

solenoid0937•5m ago
Welcome to Ed Zitron. There is a reason this man doesn't heavily short the same companies he criticizes. Be wary of anyone that won't put their money where their mouth is.
loumf•4m ago
I don't know if his final analysis is right or wrong, but if he believes this, he's completely clueless (about this aspect at least).
ryeights•9m ago
You’ll note that Mr. Zitron’s analysis is based on unfounded assertions (API prices are the ‘real costs’ of tokens, and model providers are margin negative on subscriptions) and outdated figures (OpenAI negative profit in 2025, ignoring at least Anthropic’s recent turn to profitability.)

Just more wishful thinking from our favorite AI skeptic

simonw•8m ago
One big difference I have with Ed Zitron is I look at companies suddenly getting worried that they're spending millions of dollars on tokens and think "wow those AI vendors are going to make SO MUCH MONEY".

The best price for a product is what I call the "suck air through your teeth" price. You want your customers to suck air through their teeth... and then pay the full amount anyway.

Uber set their per-developer token allowance to $1500 per developer per tool. That suggests to me that they think they can get at least that much ROI out of AI tooling.

Selling $1500/employee/month plans to companies is a great business to be in.

havaloc•7m ago
This bubble too will pop, and life will go on. Costs will slowly drop down, just like the dot com days, but some useful things will be come out of this.
greesil•13m ago
I think Ed's argument is that given the infra investment the revenue won't be enough to pay back the original investors. In fact cheaper models make this worse for them. Who cares about the investors? Well it turns out the infra was financed in large part by debt that was securitized and a bunch of regarded investors that bought the debt looking for higher returns will be taking a huge haircut when the bubble pops. The amount of securitized debt is roughly the same as the mortgage backed securities back on 2007, ergo the prediction is a big recession.

What's unclear to me is if this is a systemic issue that's going to cause credit to freeze up but imo the opacity of the shadow banking "system" does not help here. If you see one cockroach, etc.