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That means you can use AI on a flight with no wifi. In a country with internet censorship. In a hospital where cloud services are a compliance nightmare. Or just because you'd rather not have your journal entries sitting in someone's training data.

The tech: llama.cpp for text (15-30 tok/s, any GGUF model), Stable Diffusion for images (5-10s on Snapdragon NPU), Whisper for voice, SmolVLM/Qwen3-VL for vision. Hardware-accelerated on both Android (QNN, OpenCL) and iOS (Core ML, ANE, Metal).

MIT licensed. Android APK on GitHub Releases. Build from source for iOS.

I am a great fan of demoscene (computer art subculture) since middle school, and hence it was a ritual i had to perform.

For estimating the Elo, I measured 240 automated games against Stockfish Elo levels (1320 to 1600) under fixed depth-5 and some constrained rules, using equal color distribution.

Then converted pooled win/draw/loss scores to Elo through some standard logistic formula with binomial 95% confidence interval.

https://infosec.exchange/@mttaggart/116065340523529645

At Open Notes, we're building a system for community-driven constructive moderation and annotation that can be added to anything. Under the hood, we're using the open-source Twitter/X Community Notes algorithm (though that doesn't really kick in until you've got some scale). We're interested in providing everyone with tools for managing discourse that go beyond traditional moderation. Discord is the demo/reference integration, but we want it go anywhere and everywhere. Part of our thesis is that we want to get to where people are already talking rather than drag them to a clean and empty new room where we ask them to continue the conversation.

It's interesting that Pol.is was just recently on HN (https://news.ycombinator.com/item?id=46992815) because we're obviously inspired by them as well as the whole canon of social choice theory--we're just going at it from a different angle. It's long been true that if you wanted to trap me/yourself in a conversation, you could just bring up the Condorcet criterion (amongst others), so I'm finally turning an obsession into an actual product.

We want to enable people to make decisions about conversations as close to the conversation as possible while minimizing impact on live threads. Later, this nicely extends into all sorts of group decisionmaking. As our conversations are increasingly awash in AI of all sorts (as moderators, participants, analysts, etc.), things that help manage the discourse to fit the needs of individual communities need to be scalable but without drowning human choice in an ocean of automation.

Also, we're open-source: https://github.com/opennotes-ai/opennotes

Would love to hear people's thoughts and reactions. This has so much surface area ("all online discourse"), it's hard to formulate specific questions so instead we built a thing and now we'd love to see if it works for folks.

https://zvec.org/en/

I built MOL, a domain-specific language for AI pipelines. The main idea: the pipe operator |> automatically generates execution traces — showing timing, types, and data at each step. No logging, no print debugging.

Example:

    let index be doc |> chunk(512) |> embed("model-v1") |> store("kb")

This auto-prints a trace table with each step's execution time and output type. Elixir and F# have |> but neither auto-traces.

Other features: - 12 built-in domain types (Document, Chunk, Embedding, VectorStore, Thought, Memory, Node) - Guard assertions: `guard answer.confidence > 0.5 : "Too low"` - 90+ stdlib functions - Transpiles to Python and JavaScript - LALR parser using Lark

The interpreter is written in Python (~3,500 lines). 68 tests passing. On PyPI: `pip install mol-lang`.

Online playground (no install needed): http://135.235.138.217:8000

We're building this as part of IntraMind, a cognitive computing platform at CruxLabx. """

I wanted to find new hobbies for myself, something that involves more physical stuff compared to only code. How did you started on your journey with robotics, what's handy to learn in the first place? I know only basics about embedded programming and I'd need to brush up of my physics skills. I don't have a set goal in my mind, only exploring for the time being.