Poll: What's Your Favorite Programming Language?


Poll: Where are you currently living?


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Poll: Switching from WhatsApp


Poll: What are your liked and disliked programming languages?


Poll: Where do you live?


Poll: HN readers, where's your residence?


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Poll: Full-time software engineers in the Bay Area, what's your annual salary?


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Poll: Do you test your code?


Poll: Should HN display comment scores?


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Poll: Why are people leaving their jobs?


Poll: What is your primary operating system


Poll: Full-time software engineers in London, what's your annual salary?


Poll: Do you use your real identity on HN?


Poll: Did you “drop Dropbox”?


Poll: Did you know that HN allows you to make polls?


Poll: Would HN benefit from Reddit's AMA-style posts from technologists?


Poll: Do you support software patents?


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Poll: Display points on comments?


Poll: Do you select text while reading?


Poll: Will you take the Covid vaccine?


Poll: What's Your Most Disliked Programming Language?


Poll: What's the best laptop for Linux these days?


Poll: As a freelancer, how much do you bill per hour?


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Poll: Were you banned by AdSense? When in the cycle were you notified?


Poll: Are there too many NSA stories on HN, or not enough?


Poll: Do you prefer the office or work from home?


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Poll: Have you experienced depressive symptoms over the past two weeks?


Poll: Is the leetcode grind necessary to land a high paying remote job?


Poll: How old are you?


Poll: Which FAANG is the most likely to decline in the years ahead?


Poll: Contractors, what is your hourly rate


Poll: Do you meditate?


Poll: Should we push the YC deadline back by a day because of the storm?


Poll: What level of math is programming roughly analogous to?


Poll: Apply HN Runoff – Which two startups should YCF fund?


Poll: What database does your company/you use?


Poll: Tech Bubble?


Poll: How much do you make as a programmer?


Poll: How long could you survive without income?


Poll: Is there a negative stigma toward articles written in Medium?


Poll: How much did you earn from your stock options during exit?


Poll: Do you know C?


Ask HN: How to self-learn electronics?


Ask HN: What's the most valuable thing you can learn in an hour?


I don't learn anything on HN anymore, bring back the upvote count


Ask HN: How to get started with machine learning?


Ask HN: What are you learning?


Ask HN: How to learn sales?


Ask HN: What are some books where the reader learns by building projects?


Ask HN: What are some books where the reader learns by building one project?


Ask HN: Best way to learn modern C++?


Ask HN: Why did your startup fail and what did you learn?


Ask HN: How Can I Learn Music Theory?


Ask HN: What technologies did you learn in 2018?


Ask HN: How to self-learn math?


Ask HN: How can I grow as an engineer without good seniors to learn from?


Ask HN: How to learn math from zero for adults?


Ask HN: What people skills do you wish you learned earlier in your career?


Ask HN: In 2022, what is the proper way to get into machine/deep learning?


Ask HN: What was your most humbling learning moment?


Ask HN: Resources to learn blockchain and smart contracts?


Ask HN: Going from Developer to Manager. What should I know or learn?


Ask HN: How to learn marketing and sales as a solo entrepreneur?


Ask HN: What's the best resource for learning modern x64 assembly?


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Ask HN: What is the best online resource to learn advanced SQL?


Ask HN: How do I learn math/physics in my thirties?


Ask HN: How to learn best practices when you have no one to teach you?


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Ask HN: Good books/courses to learn networking essentials for web developers?


Ask HN: What Technologies to Learn in 2020?


Ask HN: Full-on machine learning for 2020, what are the best resources?


Ask HN: How do you learn complex, dense technical information?


Ask HN: Why can't I learn anymore?


Ask HN: What are your favorite YouTube channels to learn stuff?


Ask HN: What free resources did you use to learn how to program ML/AI?


Ask HN: How do I learn robotics in 2025?


Ask HN: Recommended resources to learn the Linux kernel and OS theory?


Ask HN: Any good examples of learning through games/puzzles, for adults?


Ask HN: What trick of the trade took you too long to learn?


Ask HN: Is there a modern “power on to basic” computer, for kids to learn on?


Ask HN: I've been promoted to Architect. What do I need to learn/do to excel?


Ask HN: Machine learning engineers, what do you do at work?


Ask HN: How Sound Is the “Teach Yourself CS” Learning Resource?


Ask HN: What do you want to learn in 2017?


Ask HN: How to learn to sell?


Ask HN: Show your failed projects and share a lesson you learned


Ask HN: How or where to begin learning mathematics from first principles?


Ask HN: How can a front-end developer dive into machine learning?


Ask HN: What does your production machine learning pipeline look like?


Ask HN: How to learn proper systems programming?


Ask HN: How can I learn about performance optimization?


Vector Databases: A Technical Primer [pdf]


Vector databases are the wrong abstraction


What is a Vector Database? (2021)


VectorDB: Vector Database Built by Kagi Search


Will Amazon S3 Vectors kill vector databases or save them?


Show HN: VectorVFS, your filesystem as a vector database


Show HN: HelixDB – Open-source vector-graph database for AI applications (Rust)


Are we at peak vector database?


Every database will become a vector database sooner or later


Zvec: A lightweight, fast, in-process vector database


Do you need a vector database?


Show HN: I replaced vector databases with Git for AI memory (PoC)


Show HN: Lantern – a PostgreSQL vector database for building AI applications


Choosing vector database: a side-by-side comparison


Vector database built for scalable similarity search


Vector databases: analyzing the trade-offs


Do we really need a specialized vector database?


Show HN: CozoDB, Hybrid Relational-Graph-Vector Database


A gentle introduction to vector databases


Qdrant, the Vector Search Database, raised $28M in a Series A round


Which vector database should I use? A comparison cheatsheet


Rewriting a high performance vector database in Rust


Show HN: Embeddinghub: A vector database built for Machine Learning embeddings


Vector database that can index 1B vectors in 48M


Show HN: Epsilla – Open-source vector database with low query latency


Why AutoGPT engineers ditched vector databases


Show HN: TinkerBird – A Chrome-native vector database


Show HN: I built a vector database API on Cloudflare


Investing in new vector database development vs enhancing existing databases


A header-only C vector database library


How We Made PostgreSQL a Better Vector Database


A hyper-fast local vector database for use with LLM Agents


Vector Database in a Jupyter Notebook


Measuring the popularity of different vector databases


Myscaledb: Open-source SQL vector database to build AI apps using SQL


Show HN: I trained an AI model on 120M+ songs from iTunes


Show HN: FastGraphRAG – Better RAG using good old PageRank


Ask HN: How are you doing RAG locally?


Launch HN: Exa (YC S21) – The web as a database


Show HN: Use Claude Code to Query 600 GB Indexes over Hacker News, ArXiv, etc.


Show HN: AnythingLLM – Open-Source, All-in-One Desktop AI Assistant


Show HN: I made a website to semantically search ArXiv papers


Show HN: Chat with your data using LangChain, Pinecone, and Airbyte


Show HN: PromptTools – open-source tools for evaluating LLMs and vector DBs


Show HN: PageIndex – Vectorless RAG


Show HN: I made a better Perplexity for developers


Launch HN: Baseplate (YC W23) – Back end-as-a-service for LLM apps


Show HN: Omni – Open-source workplace search and chat, built on Postgres


Show HN: HelixDB – A graph database built on object storage


Show HN: Neum AI – Open-source large-scale RAG framework


Tell HN: Help restore the tax deduction for software dev in the US (Section 174)


Andrej Karpathy: Software in the era of AI [video]


Pebble Watch software is now open source


Apple's Software Quality Crisis


We are destroying software


Things you can do with a Software Defined Radio (2024)


Free software scares normal people


Local-first software (2019)


Software development topics I've changed my mind on


Why LLMs can't really build software


The world could run on older hardware if software optimization was a priority


Writing toy software is a joy


Making Software


Mixxx: GPL DJ Software


Trillions spent and big software projects are still failing


Samsung makes ads on smart fridges official with upcoming software update


Why Apple's Severance gets edited over remote desktop software


Asked to do something illegal at work? Here's what these software engineers did


Beliefs that are true for regular software but false when applied to AI


20 years working on the same software product


One-Click RCE in Asus's Preinstalled Driver Software


Tips for stroke-surviving software engineers


My washing machine refreshed my thinking on software estimation


Jellyfin: The Free Software Media System


DuckDB is probably the most important geospatial software of the last decade


Clean Code vs. A Philosophy Of Software Design


Car companies are in a billion-dollar software war


Software update bricks some Jeep 4xe hybrids over the weekend


Programmers and software developers lost the plot on naming their tools


Has the cost of building software dropped 90%?


The future of software development is software developers


Some thoughts on LLMs and software development


Interviewing a software engineer who prepared with AI


Synadia and TigerBeetle Commit $512k USD to the Zig Software Foundation


Forgejo: A self-hosted lightweight software forge


Seeing like a software company


Free software hasn't won


How I build software quickly


Confessions of a Software Developer: No More Self-Censorship


Rules for writing software tutorials


NASA has a list of 10 rules for software development


Now might be the best time to learn software development


Suckless.org: software that sucks less


How I influence tech company politics as a staff software engineer


Salesforce will hire no more software engineers in 2025, says Marc Benioff


GitHub reveals how software engineers are purging federal databases


Homebrew no longer allows bypassing Gatekeeper for unsigned/unnotarized software


Craft software that makes people feel something


What is “good taste” in software engineering?


Id Software devs form "wall-to-wall" union


I tried creating a web browser, and Google blocked me


LinkedIn is searching your browser extensions


Boot a linux kernel right inside your browser.


Gaining access to anyones Arc browser without them even visiting a website


TabFS: Mount your Browser Tabs as a Filesystem


Dear Google, Apple, Mozilla, and MS: Please End Auto-Playing Media in Browsers


Play Counter Strike 1.6, with full multiplayer, in the browser


Tell HN: Cloudflare is blocking Pale Moon and other non-mainstream browsers


Ladybird: A new cross-platform browser project


Tell HN: Firefox Is an awesome browser right now


Did Reddit just destroy mobile browser access?


Instagram can track anything you do on any website in their in-app browser


Are Xiaomi browsers spyware? Yes, they are (2020)


The Mullvad Browser


Ladybird Web Browser becomes a non-profit with $1M from GitHub Founder


Show HN: Web browser to help programmers think clearly


Microsoft is building a Chromium browser to replace Edge on Windows 10


uBlock Origin GPL code being stolen by team behind Honey browser extension


Project Naptha: a browser extension that enables text selection on any image


TabFS – a browser extension that mounts the browser tabs as a filesystem


Welcome to Ladybird, a truly independent web browser


Show HN: Browsh – A modern, text-based browser


Choose the browser that best suits your privacy needs


Turn your browser into a notepad with one line


Google has a secret browser hidden inside the settings


Outlook now ignores Windows' Default Browser and opens links in Edge by default


The most underused browser feature: reader mode


Play Counter-Strike 1.6 in your browser


Google can keep its Chrome browser but will be barred from exclusive contracts


Tinker with a Neural Network in Your Browser


Privacy Badger is a free browser extension made by EFF to stop spying


Mozilla has defeated Microsoft’s default browser protections in Windows


Zen, a Arc-like open-source browser based on the Firefox engine


DuckDuckGo browser seemingly sends domains a user visits to DDG servers


Google plans ad-blocking feature in Chrome browser


Verso – Web browser built on top of the Servo web engine


I'm fed up with it, so I'm writing a browser


Learn Postgres at the Playground – Postgres compiled to WASM running in browser


Drive through cities in the browser while listening to local radio stations


ChatGPT's Atlas: The Browser That's Anti-Web


Browser auto-fill phishing


Google and Mozilla are working on iOS browsers that aren't based on WebKit


Show HN: Free, in-browser PDF editor


Google has another secret browser


Convincing-looking 90s fonts in modern browsers


Microsoft announces new Bing and Edge browser powered by upgraded ChatGPT AI


Web Browser Engineering (2021)


See what JavaScript commands get injected through an in-app browser


WebAssembly Browser Preview


Unknown Mozilla dev addon "Looking Glass 1.0.3" on browser


Show HN: We built PriceLevel to find out what companies pay for SaaS


Show HN: 77 Year old launches SaaS platform today. Seeks feedback


Show HN: Autocode – Automatically generate API code for SaaS apps


Show HN: My new SaaS side-project, after years of open source


Show HN: Small Transfers – charge from 0.000001 USD per request for your SaaS


Show HN: Open SaaS – An open-source alternative to paid boilerplate starters


Show HN: Turn GNU command line tools into SaaS – Stupid Hackathon Project


Show HN: Csvbox.io – CSV import button for a web app, SaaS or API


Show HN: Django and React SaaS boilerplate tutorial


Show HN: Reflio – Open-source affiliate program creator for SaaS


Show HN: PySaaS – Python SaaS starter kit


Show HN: ReadyKit – Superfast SaaS Starter with Multi-Tenant Workspaces


Show HN: SaaS application boilerplate


Show HN: BillaBear – Self-Hosted SaaS Subscription Management and Billing


Show HN: I built a chatbot to converse with 3M SaaS product reviews


Show HN: Lumoar – Free SOC 2 tool for SaaS startups


Show HN: I rolled my own simple support / Helpdesk SaaS aimed at Indie Hackers


Show HN: I open-sourced my Go and Next B2B SaaS Starter (deploy anywhere, MIT)


Show HN: Nextless.js: Full-Stack React SaaS Boilerplate with Auth and Payment


Show HN: I made a SaaS that helps keep freelancer's pipeline full - with no code


Show HN: Strada – Cloud IDE for Connecting SaaS APIs


Show HN: Wrote book that builds a SaaS boilerplate. Save weeks on side projects


Show HN: Non SaaS – Directory of Non SaaS Apps


Show HN: Stop wasting money on Saas services you don't use


Show HN: Tiiiny growth ideas for SaaS


Show HN: Cashbar app – your SaaS revenue in your menu bar


Show HN: Write SaaS apps where users control where their data is stored


Show HN: Divjoy 2.0 – Build a SaaS app in minutes


Show HN: Shadow IT Scan – Uncover SaaS Apps, Users and Risky OAuth Scopes


Show HN: Open-source ETL framework to sync data from SaaS tools to vector stores


Show HN: Gigacatalyst – Extend your SaaS with an embedded AI builder


Show HN: PuBilling – Embeddable billing portal for your SaaS app


Show HN: I created a free SaaS/Admin template for React


Show HN: A list of discounted SaaS products which you can use to fight Covid-19


Show HN: Onfleet, local delivery logistics SaaS


Show HN: No/Low code in-app onboarding guides for SaaS businesses


Show HN: Saas.do – Build powerful webapplications without coding


Show HN: Just Ship, a free and open source SvelteKit SaaS boilerplate


Show HN: SaaS Business Model Calculator


Show HN: My failed-wannabe-saas-startup project Beyondpad going open source


Show HN: Automated lead gen generator for SaaS


Show HN: TurnShift, I turned an Algolia internal scheduling tool into a SaaS


Show HN: I've open-sourced my ERP SaaS, Stockor


Show HN: libsaas, it's libcloud for SaaS


Show HN: Replicated – Deploy your SaaS app on-prem using Docker


Show HN: JobBoard.io - SaaS platform for niche job boards


Show HN: Revenue Forecasting for SaaS Apps


Show HN: NextStep – Product to help SaaS companies improve conversion rates


Show HN: Simple SaaS Metrics Dashboard for Stripe


Show HN: Paragon Connect (YC W20) – Plaid for SaaS Apps


Ask HN: Who uses open LLMs and coding assistants locally? Share setup and laptop


Ask HN: Have you set up a procedure to disclose your passwords in case of death?


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Ask HN: What's the current best local/open speech-to-speech setup?


Ask HN: Digital Nomads: What's Your Setup?


Ask HN: How would you set up a child’s first Linux computer?


Ask HN: Am I the only one who does not want IoT in their solar panel setup?


M1 dev setup with a virtual Linux box


Ask HN: What is your financial “setup”?


Ask HN: How to setup a company in U.S. without being there?


Ask HN: What's your startup's analytics setup?


Ask HN: Best setups to avoid availability outages on AWS


Ask HN: What's your backup setup?


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Ask HN: D programmers, what does your development setup look like?


Ask HN: Does a good desk setup make you more productive?


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Ask HN: Emacs users on OS X, what's your setup?


Ask HN: What is setup for your static blog generator?


Ask HN: How do I set up a HIPAA-compliant server?


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Ask HN: Work from home (WFH) setup


Ask HN: What is your favorite low-end setup you've ever done?


Ask HN: What is the best setup to work remotely with GUI on Linux?


Wacky, But Serious: What would it take to set up a stock market?


Ask HN: Is there any country that allows foreigner setup their company online?


Ask HN: How to setup a merchant account for a new startup?


Ask HN: What's your backup setup? Manual or Automated?


Ask HN: What's your computer setup?


Ask HN: Show Your Homelab and Home Server Setup for Inspiration


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Ask HN: How do you share your personal setup over different computers?


Ask HN: How long does it take to setup your dev environment?


Ask HN: What home security camera setup do you use?


Ask HN: What's your dev machine setup?


Ask HN: How would you set up national certification for software engineers?


Ask HN: What is your development setup?


Ask HN: Should a German founder with a green card set up a holding company?


Ask HN: What is your home networking setup?


Ask HN: Functioning hidpi setup on Linux, how?


Ask HN: What's your email setup?


Best way to set up a risky blog?


Ask HN: Do you write code on the train? What's your setup?


Ask HN: Looking to setup my own email server – should I do it or not bother?


Ask HN: Python developers at big companies what is your setup?


Ask HN: How do you setup a new Mac?


Ask HN: Developer PC setup automations for company owned devices


Ask HN: What's Your MacBook* Desk Setup


MiniMax H3 Day-0 Support in ComfyUI: Open Weights, Native Audio, and 2K Video

> A year and a half behind Seedance 2.0? That is a bold claim that needs evidence.
SOTA a year ago was Kling 2.5, and H3 does not look or perform at that level.
The Artificial Analysis rankings are whack. They rank Omni first, which is incredulously wrong.
Artificial Analysis has notoriously ranked models such as Grok Imagine highly and continues to rank Happy Horse as a good model despite the model being absolutely garbage.
Could it be because they are subject to broad based statistical attacks? It's easy to encode information about the origin of media in either its metadata or output frames. Or maybe there's simply no overlap between creatives and people who click on ELO scores.
I've spent thousands upon thousands of dollars generating video. I will stand by the claim that nothing touches Seedance 2.0 / 2.5  It's good that we're getting better open weights, but these are not a substitute for Kling or Seedance yet.


Replacing the Kobo Libra H2O Battery

I replaced the screen on my Kobo Clara hd recently after it broke; by far the hardest part was removing the old screen from the glue holding it on to the metal plate. Apparently newer models are much easier to repair.<p>Also, while you have it open (in fact, go and open it just to do this!), replace the internal SD card; they have a tendency to fail; my ereader had been getting very annoying with lag and random reboots until I did this, now runs like a dream. You'll need to copy your old sd card across or find an image somewhere (they exist on some forums) if it's too far gone (I got the bulk of my using DD rescue but there was a _lot_ of errors)


The Dunning-Kruger effect may just be a data artefact (2020)

Indeed. And the obvious reason is that when you simulate the "self-assessment" using a Gaussian noise around the "actual intelligence", and clamp it to [0, 100] so that it doesn't go "out of bound" (eg "negative intelligence" is not allowed), you will necessarily skew the low scores upward and the high scores downwards.
But it's not because "some statistical model exhibit a bias that's similar to the result" that this implies "therefore the result is a statistical error"... that's a backward reasonning


SQLite Critical CVEs or LLM Slop?

Its baffling to me that people think the brain is somehow "outside" of the universe and somehow "magic" and not tied down by physics just like any other matter is. I don't understand how people come to this conclusion, except in the case of belief in magic or religion (which is belief in magic more or less).


What's the largest software project AI can complete on its own?

It’s not human readability I care about. The problem with duplicate code is that the agent will fix one instance, but leave the others buggy. Hilarity ensues.


Ten advances in mathematics and theoretical computer science

There are many math problems that are simply puzzles: intellectually interesting but nothing worth of value depends on it. To me it would be more impressive if we could define hard problems that need to be solved up front and see how the models deal with that.<p>The results OpenAI demonstrated are impressive, but it also looks like they threw a lot of compute at it just to get results. How many tokens did they waste on problems they couldn't solve? Applying inference infrastructure on a large number of math problems at scale we haven't seen before to me doesn't demonstrate an exponential curve in model abilities.


This article seems really dumb (no Dunning-Kruger joke intended).
The two lines on the graph are basically linear (for the "actual performance" the quasi-linearity is obvious by the design, for the "estimated performance" it still means that even though dumber people over-estimate their performance, all group still think they do best, when they actually do best, in a relative linear way)
And when they do their simple model (we assume they just generated "real performance" from a gaussian, then added some gaussian noise for the "performance" and another gaussian noise for the "self-assessment") they still (obviously) got two linear graphs that crossed each other.
And then they conclude that this means there is no effect, because "the graphs are eerily similar" (whatever that means)
But obviously the simple model is going to make two lines cross (in particular if you use a min(100, max(0, actual_performance + noise)) since at each extreme, then min and max will tend to skew the line). To put it simply: someone really stupid will STILL not pretend that he's "negatively stupid".
The argument "I can make a simple model without using actual humans which shows some kind of bias that vaguely ressembles the result of a paper" doesn't mean that the actual paper is wrong...


Thanks for finding the code!
Now it's much more clear. The simulated data tries generating the true relationship between actual and perceived scores from 0.0 to 1.0, and bias in self-reporting from 0% to 100%.
So the output graph should be the average of all these data generating processes, yielding perceived relationship around 0.5 and bias around 50%, with some high variation.
If you have the access, run their Shiny code with these values, and you will see the published plot.
I'd argue that this demonstration is much weaker than "making original no more meaningful than random". It's more that the "simulated 50% bias and 0.5 true correlation looks similar to what DK published", which is also far fetched given the data generation they did.


Can an AI Model Obey a Strict Style Guide?

I did a bit of research on that in my last job and got the impression that encoder models might help.
They are well suited to check input for rule violations and are much cheaper to train and run than decoder models.
The downside is, they can't fix issues by themselves.


Don't be a meat proxy

> has me questioning how much longer I want to remain in the industry.<p>It's not a bad time to take a break from it. Keep yourself from cognitive decline, then in 2 or 3 years when the industry has come to its senses you'll be able to impress in a sensible interview. Compared to the slop addicts that won't know how to tie their own shoes without asking Claude each time.


Massively Parallel Postgres Backups

Broadly for Pg, minor version upgrades are straightforward as the data on disk is guaranteed to be compatible. All it takes is a restart or switchover to upgrade.
Major versions are more challenging for "vanilla" Postgres because that's not the case. Storage/catalog formats may change. There needs to be an explicit upgrade process for the data (eg, a database created with v18 won't work out of the box with v19).
The cool thing is, software like Neki (and Vitess for MySQL, which we maintain) have architectures that lend themselves to making this much more feasible. Because the actual database nodes sit behind a router + parser layer with Pg/MySQL compatibility, the upgrades can be done transparently to the user. We plan to write more about how this works in the future.


Qwen3.8-Max: A New Bar for Coding and Cowork

“If you have the prerequisite hardware, then… know which model you want out of thousands of a variants… and your drivers are up to date, then it is fast!”


Ahh, but you missed the continuation, where they get to the heart of the matter: money.
"Excuse me, We demand rigidly defined areas of doubt and uncertainty!"
DT: Might I make an observation at this point?
MT: You keep out of this metal nose.
VF: We demand that that machine not be allowed to think about this problem!
DT: If I might make an observation…
MT: We’ll go on strike!
VF: That’s right. You’ll have a national philosopher’s strike on your hands.
DT: Who will that inconvenience?
MT: Never you mind who it’ll inconvenience you box of black legging binary bits! It’ll hurt, buster! It’ll hurt!
DT: [Booming] If I might make an observation … All I wanted to say is that my circuits are now irrevocably committed to computing the answer to Life, the Universe, and Everything.
VF: That’s a -
MT: Ahhh! With -
DT: But, but the program will take me seven-and-a-half million years to run.
“All I wanted to say,” bellowed the computer, “is that my circuits are now irrevocably committed to calculating the answer to the Ultimate Question of Life, the Universe, and Everything.” He paused and satisfied himself that he now had everyone’s attention, before continuing more quietly. “But the program will take me a little while to run.”
Fook glanced impatiently at his watch.
“How long?” he said.
“Seven and a half million years,” said Deep Thought.
Lunkwill and Fook blinked at each other.
“Seven and a half million years!” they cried in chorus.
“Yes,” declaimed Deep Thought, “I said I’d have to think about it, didn’t I? And it occurs to me that running a program like this is bound to create an enormous amount of popular publicity for the whole are of philosophy in general. Everyone’s going to have their own theories about what answer I’m eventually going to come up with, and who better, to capitalize on that media market than you yourselves? So long as you can keep disagreeing with each other violently enough and maligning each other in the popular press, and so long as you have clever agents, you can keep yourselves on the gravy train for life. How does that sound?”
The two philosophers gaped at him.
“Bloody hell,” said Majikthise, “now that is what I call thinking. Here, Vroomfondel, why do we never think of things like that?”
“Dunno,” said Vroomfondel in an awed whisper; “think our brains must be too highly trained, Majikthise.”
So saying, they turned on their heels and walked out of the door and into a life-style beyond their wildest dreams.”


Wind and solar overtake fossil fuels in Germany for the first time

My favourite theory is that the climate crisis is stressful to think about, reducing its impact requires everyone to make sacrifices, and there’s a lack of control over the situation.
People will be inclined to latch on to anyone making an alternative suggestion: it’s a hoax, it will all be fine, the real problem is those people making you make sacrifices. It’s a relief to think that way, because the alternative is harrowing. It’s an easy sell for populists who are willing to say anything to get votes.
See also Covid: it’s easier to think of it as some kind of hoax than parse the true horror of the situation. Someone comes along and says it’s far less bad than the news is reporting, that these solutions aren’t necessary. You don’t need to feel guilty that you want to break isolation, find masking uncomfortable and find the jab unpleasant, because it’s all made up.


Devtools must be open source

I mostly work with Python, and often coding agents answer questions about dependencies for me just by digging around in the site-packages folder in whatever virtual environment they have access to.<p>The "clone X and tell me" trick is something I mostly use on my phone - I can answer questions about pretty much any piece of software on GitHub with a regular Claude session, no coding agent needed.


I feel like the only important point in the article would be to explain how the random data was generated, yet it was relegated to the single sentence: "There was no bias in the coding that would lead these fictitious students to guess they had done really well when their actual score was very low."
Because on the surface, it doesn't make any sense for two sets of "random" numbers between 0-100 selected in pairs to deviate from each other based on whether the first number in the pair was low or not. You would not expect the first number chosen in a pair to influence the second number. Whether the first number was between 0-25 or 76-100, you would expect the second number to be about 50.
So this is obviously some sort of structured randomness that may be entirely justifiable, but the only way to find that out would be to read the two articles that this article purports to summarize for the layman. Instead there's over 1300 words of slop before this sentence, then nearly 700 words of slop after this sentence. Turns out we don't need AI for this. Speaking of random, I don't think that 2000 words is random.
edit: maybe the point of the papers is that low scorers can't underestimate their abilities - as in they literally don't have enough room? If so, that just means that the Dunning-Kruger affect is unavoidable. But the fact is that people are not choosing numbers at random, they are choosing them based on their expectations. People who got zero questions right and expected 100% are as likely as anyone else from a random number generator, and non-existent from actual people.


Smaller, faster, safer: running Kimi and GLM at scale

So they quantize models, only tell about it in the blog post (instead of a warning on the model page), and even in the blog post pretend there's no difference by benchmarking on small context tasks many of which are saturated. Coding agents will probably be severely negatively affected by KV quantization.<p>I'd say serving quantized models without saying so on the "store" page is fraud.


Devtools must be open source

As an end user, I don't mind if you're building a product with rapidly changing API's out in the open. I'll still use the product if it's useful and deal with the churn. What I DO care about is not having half of that project rug pulled 12 months down the line when your Series B folks decide that this particular money knob needs to be turned up.<p>So if you want to not piss off your users, that's the way to do it. Build a model where you can actually sustain the product, and no, giving it away on seed and series A round money then rug pulling that gift is not the way to achieve that.


Prevent cognitive debt by manually retyping LLM-generated code

There's value to hand-copying something. Hunter S. Thompson transcribed Hemingway to internalize the cadence of his writing.<p>However, if you're serious about it, then why not hand-write your LLM-generated code? You'll get much better retention and comprehension than typing.


How Hollywood stopped making movies in Hollywood

Can you link to a high quality example of a short drama?<p>The article mentions  ShortMax's "Too Late! The Daughter of Olympus Forsakes You" and NetShort's "One Move God Mode". I found something on YouTube for both, but there's zero chance what I saw was Hollywood level quality (unless you really hate Hollywood movies!)


Suppose I wanted you or someone else on Upwork or Fiverr to port a Rails 4 app to Rails 8 (or React or HTMX or anything up to date and maintainable).
Assume the business logic and all edge cases work in the legacy app.  The app is "done", just too old to work on or run on modern hosts.  Hence the project.
Would/could you use AI to deliver the project at 10x the speed?  Or at 1/10 the price?  Or charge the same amount as ever?
I have a feeling the lowest-cost developers on freelance marketplaces are not very good at using the AI tools (and whatever related acumen) and need a lot of hand-holding, the same amount of effort almost as if I decided to guide AI to do it myself.
IMO, there's value you can sell in being someone that (even developers) can hand off a project to, to do end to end, if it's fully specified.  Even though the buyer could do it themselves, the developer is are taking on managing it and having AI do it until it's correct, and all the little things, few as they may be.
AI should be giving contract developers superpowers.  If it's not, then the limited set of contractors with the AI superpowers will be able to charge 10x as much for their time, and the actual cost of the project remains the same even if it's done 10x as fast/easily.
Curious if you see/feel this, or if there's a marketplace for "please vibe code this for me, make sure it works and is what I want".


Thankfully, synchronous condensers, flywheels and other fossil-free technologies exist.


Kelly Criterion Simulator

The problem with sports betting is that if you really want an edge (at least in something like soccer) you could easily end up dropping six figures a year on data licenses to have a decent model and be able to find worthwhile bets across all competitions. That puts a lot of pressure on the amount of capital you need to deploy, which rules out a lot of bookmakers. As you graduate to markets with more liquidity (i.e. Asia) you’ll also find your edge shrinking. Still obviously very doable, but it’s hard to guarantee stress free passive income this way.


This is what I've been focusing on. Writing good user stories, defining the definition of "done", acceptance testing. Thinking about the high level design decisions. Never thinking about how I'm going to implement feature X is honestly a breath of fresh air.<p>I've been writing code for nearly 30 years, and I'm done.


Dubious research tied to Red Bull has shaped energy drink policy

So do you want to outlaw espresso martinis? Or rum and cokes?


Go 1.27 Interactive Tour

I'm not sure you can really argue that Rust's traits are innovative. Haskell typeclasses, OO-style abstract interfaces, and C++-style associated types were already well-known and well-established features. The particular mix of those features in Rust may be new, but the same could be said for Go's, or really any programming language's, particular mix of features.
You're right of course that traits are more powerful than interfaces. Go simply isn't designed to satisfy fans of elaborate type systems. This can be frustrating at times, but it also means that you don't have to deal with overarchitected library code like this: https://github.com/marshallpierce/rust-base64/issues/213 (Yes, you can overarchitect code in Go too, but the simplicity of the language, and the model of the stdlib, do tend to discourage this in practice.)
I've never written Rust professionally, but I did have a Haskell job for a couple of years. IME the sophistication of the type system is a double-edged sword. Sometimes it lets you concisely express important invariants; sometimes you end up spending way too much time writing elaborate types for code that isn't really doing anything very interesting. I understand the appeal of fancy type systems. In practice, I get a productivity boost from any kind of basic static typing, and then rapidly diminishing returns from the fancier stuff.


Used Claude to make a screen time app that let's me exclude certain apps

Basically androids built-in digital wellness gives you stats on screen time but it doesn't allow you to exclude time spent talking on the phone or using google maps from your screen time. Used claude code to build an app that queries the usage stats and then give you the ability to remove some apps from the calculation.


Devtools must be open source

Coder uses terraform providers to do the provisioning. I think that's the correct layer of abstraction, all major providers will be there and can be customized with the modifications needed via various other terraform features.
I've written three different solutions for platforms that solve this standard protocol layer. What has worked for us was deciding to standardize on the Kubernetes API for our services back in 2017, and then from then on, all our providers have provided either a k8s API to interact with resources, or provide a Cluster API for provisioning. For example we have two datacenter VM providers that implement the k8s API and we've been able to swap the providers with no user refactoring, it's a good solution in hindsight with how many people have k8s in their stack.
For the second big feature you're thinking of, we never really go a good solution to this problem, a lot of our workloads are long lived and not necessarily spot instance-able, but it's a very fun routing problem. Most of our need to be in multiple clouds is that we want to heavily separate our customer facing services, and keeping it away from internal workloads that support those customer APIs.
Is this public work? I'd love to take a look. This is my bread and butter.


Hard in "hard science" doesn't mean hard as in difficulty, it means hard as in not soft. Soft sciences are difficult to explore since they aren't rigid, they move around as you prod at them etc, you can't get a good grasp of its shape since they are so soft.
Physics on the other hand is hard as in unyielding. It is easy to figure out boundaries of physics and map out what is and isn't true, and the few cases were we made a mistake everyone can agree a mistake was made and that formulas needs to be updated since physics is so extremely hard that even a tiny error will get noticed.
Hope that clears it up, physics isn't hard as in difficult, its hard as in rigid. And psychology is soft, not easy.
So, your statement doesn't make sense at all in this discussion, they just said psychology has soft traits, and then you say "ok, so its hard since its soft!". No, soft is difficult, not hard.
So for example, physics is like describing the shape of a metal spoon, and psychology is like describing the shape of a pillow. You can see how describing the shape of the pillow is massively more difficult, because its not fixed, so you have to come up with a language to describe all the ways it can deform and how that would work.


Huh? The point is that the two graphs come out looking the same, making the original no more meaningful than random.
Source code is here: https://github.com/pem725/Dunning-Kruger (found here: https://pem725.github.io)


Do any of the big AI companies have a model that are good at tasks that require learning?<p>For example, every day people teach teenagers how to drive and with only dozens of hours of practice, they are on the road.


I'm getting somewhat conflicted. There is a Twitter account I follow that has great takes and lots of deeply personal posts... BUT he obviously uses an LLM in his writing pipeline somewhere. Too many AIisms scattered about to ignore.
I'm not thrilled with it, but he is obviously using it to improve his writing overall- to communicate some great ideas that are personal and germane. I've decided that being too inflexible serves no one. If it is true slop, I'll not revisit the writer in the future- if they are using AI to polish writing that at its core is a unique voice, I'll accept it and learn to live with it...


I do not think it is so clear.
Programming has verifiable and non-verifiable aspects. Competitive programming, passing tests, and performance can all be verified. But translating English requirements into actual software, software architecture, taste, or UI design cannot. And yet over the last couple years we’ve seen huge lifts in all of these areas, not just the verifiable ones.
Verifiable areas I think are clearly seeing the most improvement, or are the quickest to see improvement. But we are seeing lots of progress in non-verifiable areas as well.
How much of the non-verifiable progress is a function of labs purchasing expert data vs. the models improving with compute is maybe another interesting question, but fundamentally I don’t see spend on expert data as something that can’t grow if AI revenues keep growing as well. And as models get better taste they can also help filter and generate new synthetic data for their next versions to train on. The limits of this approach are not so clear.


I would achieve a lot too if I wasn't interrupted with "how is progressing meetings"
And if with put those meetings in the model it would also be as bad as everyone


1 is wrong. If I tell Codex + GPT-5.6 to do it now, it will figure out how to do  it. If it would need to extract audio and run a speech model on it, it will find one, set it up, and run without my help.


US Treasury undertakes historic intervention in yen market

California’s OS age attestation/age bracket API law, Colorado’s similar law, and the pending laws in Illinois and New York. Michigan had a law in process but pulled it because they decided it was unworkable. Virginia has a social media law that’s tied up in the courts. I’ll add to this the slew of laws targeting 3D printing, which seem to be solely a blue state phenomenon.
Yes, red states have their own age verification laws—I never said they didn’t. Hence why I’m not friendly towards either party.
Constant nitpicking and gaslighting also seem to be typical from modern Dems.


SQLite Critical CVEs or LLM Slop?

This is unfortunately a feeling I share. It wasn't until LLMs have become nearly ubiquitous at this point, and there has been zero realistic technological response to the dangers they present. Not to mention I suspect there may be some psychological element to being exposed to interactions with AI models and their nonsense for hours a day. Not all of it is nonsense....but you won't ever know for sure.


Ask HN: Who wants to be hired? (August 2026)

Location: Calgary, Canada (UTC-7)
Remote: Yes
Willing to relocate: No
Technologies: Python (Flask, Django) / Typescript (React, Vue, Angular.js) / Ruby / Node.js / GCP / SQL
Résumé/CV: https://drive.google.com/file/d/1ECJiaqv-m-se_S0kwS1-zP3pds7...
Email: bennerguy@gmail.com
I'm more than happy to learn a new language or two. I've worked with AI since 2018 at a variety of startups, but I'm equally comfortable with non-AI work.


Ask HN: Have LLMs Plateaued?

How much more productivity will we be able to squeeze from them?
Probably, depends on how you measure productivity.
If you measure productivity in terms of number of automated bureaucratic events (e.g. creating files, organizing files, generating lines of code, finding bugs in code, generating emails, responding to email) then yes productivity will continue to increase because LLM's are the killer app for increasing bureaucratic events.
If you measure productivity in terms of changes to the material world (e.g. traditional things like trade goods, buildings, food stuffs, irrigation systems, transportation networks, etc.) then no because LLM's have little meaningful impact on those activities...no AGI is going to harvest lettuce for our wedge salads).


A year and a half behind Seedance 2.0? That is a bold claim that needs evidence.
According to one user preference leaderboard, MiniMax H3 is already ahead of Seedance 2.0 based on thousands of A/B votes: https://artificialanalysis.ai/video/leaderboard/text-to-vide...
I haven't seen any user preference comparisons between Seedance 2.5 and MiniMax H3. As an upper bound, H3 cannot be more than 6 months behind Seedance 2.5 since H3 is already ahead of where Seedance was 6 months ago.


Making insulting assumptions about the hidden motivations of others is not the level of discourse I come to HN for.


Don't be a meat proxy

I am going to guess it's the other way around and a modern day of "let me google this for you"


I don't disagree, but at some point in the last year they ended up severely word-expanded. So in a revealed sense, they are no longer meant for human consumption except for those who don't significantly value their own time. There is very little information in the post that an agent can't pull for you:<p>* they use quantized models<p>* they quantize KV cache<p>* they have a cache tagging mechanism to prevent cache misuse (neat)<p>The agent can extract numbers without filler prose as well.


this is how I did "AI coding" (for unfamiliar languages/frameworks/etc.) back in the GPT-3.5/4 days. Except I'd also test each line to verify it actually did what I thought it did.


Which is in part the fault of the industry itself! There's a high degree of arrogance in German management. Especially when it comes to China. The German car industry's refusal to go all in on BEV is a prime example how this arrogance lead to losing to the Chinese who now make better cars than Germany. And this wasn't the first time German industry lost to China due to their own arrogance and being stuck in the past. They always treated China as an export market instead of a seriuous competitor. Same with Eastern Europe.<p>People always blame German politics, but German management is as responsible if not more responsible for the decline. They simply made bad management decisions for decades and they didn't see the future coming.


Location: Liverpool, UK
Remote: Yes
Willing to relocate: Yes
Technologies: Rust, TypeScript, Python, C, C++, SQL, NumPy, Monte Carlo simulation, mathematical modeling, numerical optimization, probabilistic modeling, motion and trajectory planning, robotics, ROS, MuJoCo, Zephyr, Docker, Linux, HPC, OpenMP, OpenCL
Résumé/CV: https://patrickrathje.de/cv
Email: mail@patrickrathje.de
About: Computer scientist and software architect with a PhD in distributed systems and a strong background in numerical simulation, mathematical modeling, probabilistic systems, optimization, robotics, and embedded software.
My research and engineering work has included Monte Carlo and system-level simulation, modeling uncertainty in wireless ranging, experimental validation on embedded hardware, and decentralized trajectory coordination and optimization. I am interested in senior engineering roles and startups that face technical challenges and require product design expertise.


They made an extremely strong claim:
> None of this would matter if it changed the model's answers
If they want to assert that the answers don’t change, then perhaps they should calculate the statistical distance between the token probability outputs or something to that effect. I doubt the results would indicate that the answers don’t change by any reasonable interpretation.
Maybe the results are still good enough.


Residential Proxies Are a National Security Threat

It's not enough to use latency alone as the other commentor said. You need to look for repeat behaviour at scale. It's ML model time once these basic signals fail you.


And it would be in seconds if models weren’t that large and slow-ish to download! LM studio is such a noob friendly experience, pretty neat first experience!


I'm REALLY REALLY not enjoying this current middle ground where we may be on the cusp of LLMs writing all code better than I could OR we may be on the cusp of realising that this is a chimera.<p>Mostly I just want to skip forward to the point where we find out which track we're on, because until we know, I feel constantly tense.


Diffusion models are real-time game engines


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What the ad blocker debate reveals

Oh, the memories. I haven't seen this metaphor fight in like 8 years now, since web annotation basically died. And here we finally are with a version of this debate that people actually care about, because there's actual money at stake. Finally my years of prep are ready to pay off!
First, I suggest everyone resist metaphors. Physical metaphors don't work here at all. For one thing, the "free content" may in the future decide that you can't load the content in the page until after the ads and trackers confirm that you have indeed loaded their content and executed it to some degree, which wrecks every physical metaphor you can come up with. Physical content is dead. Web content is code. It gets to do code-y things. No physical metaphor will keep up.
Next, this obviously produces an arms race. The first iterations of this will be stupid and client-side, because it's cheap. When that doesn't work, server-side things can be done so that at the very least, you must download the ad; that can be confirmed fairly well in a non-forgeable way. The ads will also run arbitrary bits of code in an attempt to verify that they've really been shown; the client side plugins will retaliate by simulating the relevant code and not actually showing the ad. With the current state of web technology, this would stabilize in a sort of middle ground, where the client-side correctly doesn't render the ads, but the requisite requests to convince the server that you can see the content would by necessity still leak tracking information in order to convince the servers to show it at all. You could try to do things like use client-side stuff to scramble those values and share them among users or something, but that's fairly easy to detect at scale.
Where that becomes particularly relevant though is that the clients at this point are becoming increasingly outright deceptive and duplicitious. Instead of passively failing to render ads, actively deceiving the remote systems opens a new door both legally and ethically. At some point after this the publishers have both a legal and ethical case that you are not merely "experiencing the content as you wish", but actively defrauding them.
This, of course, won't stop people from arguing they have a right not to be tracked or advertised at, which means that they will essentially be arguing in favor of a right to have their programs make fradulent requests in order to get this "free" content. Which is fine and dandy locally, but consider what that means globally... and in particular, at this point how do you argue that it's ethically wrong to put trackers and ads in content, and for that matter even spyware, if the "other side" is retaliating in kind? If you're not careful with the ethics here you surprisingly find that you end up arguing in favor of the very things you thought you were arguing against, and end up making a "good for me but not for thee" argument, which even if you do end up believing that is still not a very powerful or compelling ethical/legal position.
Pardon if I'm leaping about 4 steps further down the road than most people here are at... I worked this all out about 12 years ago. (It's a bit dated now and I cringe a bit at the writing style, as befits any writer linking to something they wrote 12 years ago, but you can see what I worked out at http://www.jerf.org/iri/blogbook/communication_ethics . Perhaps remarkably, it is dead on topic for this very debate... there's a lot of related issues here.)


Tech industry's persistent claim of worker shortage may be phony

Huh. FWIW, I do consider myself 10x. I've only rarely met developers who claim 10x but who weren't at least good developers. And I have met developers who were crap, but I don't think it of everyone else. Just the ones who were crap. ;)
It is true that I think of myself as particularly good. For reference, I was working for one of those companies I listed above, and I put in less than 30 hours in a typical week, and still got heaps of praise for how quickly I got things done (in calendar time). I kept asking for more to do, but never really got enough to keep me busy full time. Ultimately I ended up helping with related projects, or company-wide tooling, just because I enjoyed helping and had the time.
I didn't feel the need to prove anything, exactly, but sometimes things would go south and I'd put in more hours because I felt like something should have taken less time, yes. That's not "prove to me you're 10x!", but my work ethic coming out and keeping me on task until my expected workload was actually complete.
But even then I don't think I went beyond 45 hours in a week in my time there as an employee. And I didn't work on a weekend even once. If something really hadn't gotten done in what I felt like was a reasonable work week, I would have let it slide. That may have happened once, but only once. Making the proprietary company build system do things it wasn't precisely designed to do ... well, I just can't talk about it, since I don't swear in public posts. ;)


Atari founder Nolan Bushnell on why life is 'a game'

I'm surprised that HN hasn't applied some version of the standard critique of Capitalism already. It's practically de rigueur in fashionable intellectual circles. And in this case it's so easy, an amateur like me can make a decent stab at it.
First of all, we enter the text with a remark about "mistakes of ego". One ego mistake is to conflate "life" with some activity that is taken to be "life-defining" or "the meaning of life". This is a Western preoccupation that stems from Christian spiritual angst with respect to the relationship between "good works" and salvation (this is very complex, see https://en.wikipedia.org/wiki/The_Protestant_Ethic_and_the_S... for details and note the differences between the Catholic and Protestant teachings. The psychological implications of the doctrinal differences are far beyond my ability to untangle).
So here this is applied as follows: conflating life with the process of gaining salvation through good works which in a Capitalist society translates into "game playing" a.k.a. using capital to innovate and earn a return on investment.
Of course none of this helps when it comes time to contemplate mortality. It doesn't matter how much you play nor how many times you win, you'll still be stuck with this over-developed existential angst which was the thing that prodded you to work so hard in the first place.
> When you lose a game of chess, you don't go and jump off a bridge, you reset the pieces and do it again.
> It's a game
The game playing, the "reset the pieces", the conflation of life with the game, and the talk of suicide seem to suggest an element unacknowledged in the text, the idea of the cycle of death and rebirth. It may be a coincidence, but I think the attitude of the Buddhists with respect to this cycle may be connected with their attitude toward games vs. the process by which wisdom arises, but who knows?
https://en.wikipedia.org/wiki/List_of_Buddha_games
OK, that's my critique. How did I score?


Review: ‘The Economics of Inequality,’ by Thomas Piketty

This result is really important when considering 'fairness' in taxation as well as when considering the ethics of tax evasion.
If financial aggregation is a feature of the system then it seems like tax evasion is not just someone taking 'their share' of the money which they earned somewhere else but it's closer to actually stealing from everybody.
Also, I think there are implications for the ethics of a global economy where communal services are financed from a local tax base and the profits leak to an entity beyond the taxation of the region.


The World Needs a Secular Community Revolution

The problem is that the world is full of diverse people who all have different opinions and beliefs on how things should work.
I visited Thailand three times, it is around a Buddhism community. Quite different from the Christian communities you'd see in the USA. Christians are a small minority in Thailand and there are more Muslim and Chinese than Christian. Each one has their own community. I visited a Muslim community because one of my wife's cousins had married a Muslim man. They were very nice to me and my family. Five times a day a car would loud speakers would drive around for their daily prayer. There was no pork or alcohol for sale before their religion forbids it. They cut their chicken differently from us, but it tastes good.
I am not sure if they'd go for a secular community. They already got one of their own religious communities and have done this sort of thing for most of their lives.
Moving away from religion and becoming secular is a western thing not an eastern thing.
I see the Dawkins Foundation was mentioned, a lot of times they criticize and attack religions when they could have used the resources to help out people in the community instead. Using hate instead of love, and then sometimes having to retract web pages when proven wrong like the Jesus is Horus thing or the Easter is Ishtar thing.
You have secular communities in the USA and UK, but they are small and limited.
Public schools in the USA got rid of religion, but didn't find anything to replace it to teach morals and ethics instead like critical thinking.
The problem is when you get rid of religion you get rid of a lot of good stuff too, and if you claim religion is bad and you get rid of it, it is like tossing the baby out with the bathwater. A lot of Christian charities did adoptions, and got attacked because they didn't support same sex marriage, so they went out of business and left a big hole to be filled. The same with Christian homeless shelters, many had to close down due to being attacked and criticized. There were no secular homeless shelters to replace them.
As the community moves away from religion and towards secularism, they have to replace the structure that was there by religious communities. It takes a lot of money to do that and a lot of volunteers.


I retired at 30. The best part isn't leisure – it's freedom.

You're right.  There is magic here.  It's called 1st grade math.  For this to work, income minus expenses must be much greater 0.
You don't need to be rich or privileged or win the "ethic and circumstances lottery" as you called it.  The key is to live well within your means and save the difference.  Saving 25x your annual expenses is something anyone (even someone making minimum wage) can do but it does take time hard work and the willingness to defer gratification.  Do you really need that fancy vacation or the iPhone 10x++?  Or do you want financial freedom at some point in the future?
It's your choice.  Choose wisely.


Sadly, How Windows 10 Reveals Microsoft's Ethics Armageddon

Does P2P Windows updates really count as a question of ethics?
If a user is on a metered connection, and "seeding" Windows updates pushes them over their bandwidth cap, then MS is quite literally stealing from them.
I'd say that's an excellent example of a question of ethics.


Does P2P Windows updates really count as a question of ethics?
Did you not read the post? Using customer's resources without permission for profit?
Any privacy options are quite clearly stated in the installation options, and they are in the settings
Many users are barely competent to initiate & complete the upgrade and find Solitaire thereafter. Data caps and P2P are incomprehensible to them, much less how to adjust settings to stop abusing limited bandwidth.


> Does P2P Windows updates really count as a question of ethics?
How could it not at least be a question? You could answer the question in the negative as not an ethical issue, sure. But a company using resources of their customer for their own private purposes without a very clear, up front and explicit opt-in is quite new and radical. It seems like a no brainer as an ethical question.


Does P2P Windows updates really count as a question of ethics? I don't think so.
Any privacy options are quite clearly stated in the installation options, and they are in the settings menu in easy to find places.
Security is another issue, I'm not a fan of the OneDrive bitlocker key that MS automatically gets, or the Wifi Sense, but other than that I think MS has been quite transparent.
Considering that most privacy settings revolve around Cortana (i.e. the flagship feature for the OS), I don't see why people are getting their pants in a twist over it. For most people that pick the express installation, that will by default send all data to MS, their experience will be vastly improved.
For everyone else, you can switch the settings off, and for people who still have an issue generally use Linux (or OSX if they're that way inclined).
So really it isn't that MS thought you would say no to all their privacy questions. It's because Cortana doesn't function all that well if she's not able to send data to MS. Would it be nice if MS were more open in what exactly they were sending to their servers? Yes. So if that's the real problem, then don't question ethics, question their documentation.