Local Wikipedia: Wikipedia, but only for things a half hour walk from you

Docker is weird

Title is a bit of an exaggeration but the question is more: if the frontier models are so good, why even sell them as your primary money maker?Couldn&#x27;t OpenAI or Anthropic make a lot more money by just starting companies themselves that leverage the models and building their own products?Is selling tokens really the best strategy?Especially with commodification and prices declining wouldn&#x27;t that indicate there is more money to be made on the application-side of the models rather than the utility side

Ask HN: If the models are so good, why doesn't OpenAI just start 100 companies?

OpenShell – A safe, private runtime for fleets of autonomous AI agents

Today, we hacked what we'd set out to hack: the iPhone

<a href="https:&#x2F;&#x2F;www.kimi.com&#x2F;code&#x2F;docs&#x2F;en&#x2F;kimi-code&#x2F;models.html" rel="nofollow">https:&#x2F;&#x2F;www.kimi.com&#x2F;code&#x2F;docs&#x2F;en&#x2F;kimi-code&#x2F;models.html</a>

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The alien space of science: Coherent but cognitively unavailable directions

Hi allI was pretty terrible at singing, now I’d say I’m bad but not terrible. This is because I’ve been using a singing app (won’t name it here) that scores me on my pitch and timing throughout the song so that I can improve.Lately however, the app I’ve been using has flooded their song list with songs that aren’t originals. I didn’t like this at all as for me, it’s easier to try to improve when you’re singing along to the original.So, I asked an agent (Claude Code) if it could write some code to listen to Spotify and also listen to me and see if it could detect both pitches and score me. It impressed me by writing some Python and showing me my pitch in the terminal!It couldn’t go all the way though and detect the singer’s pitch in real time.So I found the next best setup and built OnKey, a Mac app that needs to listen to the song once (it doesn’t save it) and then when it’s learnt the song (takes a couple of minutes), you can sing along to the pitch track that it’s learnt. OnKey is free to use and open source under the MIT license.It can listen to Spotify, Apple Music, and YouTube playing in your browser with the right permissions.During the build I found that someone had done something similar in Nightingale, but this requires a library of songs exported to disk and who has this in 2026 (maybe some of you ;) - but we need to help the normies too).You can check out a demo video on the site of me singing (warning given) here: <a href="https:&#x2F;&#x2F;singonkey.app" rel="nofollow">https:&#x2F;&#x2F;singonkey.app</a>The app sends out to find the song info (short Shazam fingerprint, and looks up song details), lyrics (from LRCLIB), and checks for updates.The app never sends the music (it doesn’t save this to disk) and your voice. Everything you’d expect to stay private does.It’s still weak in a few places:- when the song’s backing is noisy it’s hard to pick the pitch track out- sometimes it gets a note an octave off- it’s limited to Apple Silicon Macs, M1 or later, and only macOS 14.2 up because extra drivers aren’t required past this point- the scoring is built for beginners like me so it’s fairly easy on youWould love for people to try it out and let me know what works and what doesn’t for them!

Show HN: OnKey – I'm a bad singer, so I built an app to show where I'm off-key

Canadians are running out of time to oppose Bill C-22

<a href="https:&#x2F;&#x2F;www.macrumors.com&#x2F;2026&#x2F;10&#x2F;23&#x2F;apple-music-has-a-hidden-ipod-you-can-play-with&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.macrumors.com&#x2F;2026&#x2F;10&#x2F;23&#x2F;apple-music-has-a-hidde...</a>

Apple Music 404 Not Found

Job loss and cortisone mania

The Real Kevin Bacon

Gemma-4-26B-A4B with 39-69% less thinking at same accuracy

UUIDv7 doesn't have the properties you think it does

Can we replace a $150k Looker with a bucket of HTML files?

How Is Music Possible

The Missed Opportunities of Sonic 06

LISP Comes of Age (1980)

Hey all —Sharing a thought experiment I put together. The premise: what might declarative programming feel like for the physical world?We’re already familiar with this paradigm in software land (eg SQL etc where we declare what we want and the execution engine figures out how).I didn’t have access to an actuator so I mocked up the concept in software. The way it works is you demonstrate the effect and the system figures out how to achieve it. So say you want to ring a bell and you have a crank. The system will find a way to connect the two. If you add obstacles it figures out how to work around them (runs a constraint solver runs behind the scenes).I think what’s interesting about this is being able to think about the problem at a higher level of abstraction, with the system figuring out a way to achieve the intended effect.Anyways, curious to read reactions, feedback, and interesting ideas on how to extend this!

Show HN: Impossible Machines: declaratively program the physical world