Hacker News: Active publisher

Article URL: https://www.autodidacts.io/vibecoding-isnt-as-fun-as-writing-code-by-hand/

Comments URL: https://news.ycombinator.com/item?id=49979306

Points: 191

# Comments: 274

Article URL: https://mihai.dinculescu.dev/posts/tapo-speaks-tpap/

Comments URL: https://news.ycombinator.com/item?id=49978563

Points: 124

# Comments: 59

Article URL: https://humanprogress.org/screens-arent-destroying-young-minds-i-should-know/

Comments URL: https://news.ycombinator.com/item?id=49978484

Points: 31

# Comments: 47

Article URL: https://lucumr.pocoo.org/2026/10/6/codemode/

Comments URL: https://news.ycombinator.com/item?id=49978333

Points: 138

# Comments: 63

Article URL: https://mistral.ai/news/mistral-large-4/

Comments URL: https://news.ycombinator.com/item?id=49978116

Points: 349

# Comments: 39

https://docs.mistral.ai/models/mistral-large-4-0

Comments URL: https://news.ycombinator.com/item?id=49977979

Points: 1957

# Comments: 1169

Article URL: https://signoregalilei.com/2026/09/27/whats-earths-dominant-species-by-mass/

Comments URL: https://news.ycombinator.com/item?id=49977531

Points: 280

# Comments: 207

Meta’s agentic AI product Muse has had a rocky few weeks since launch. The product, which features an animated avatar named Jolly (one presumes to make mass hyper surveillance seem adorable) is supposed to help you offload busywork like making restaurant reservations, paying bills, or ordering groceries. Despite Meta having claimed repeatedly that Muse was […]

Article URL: https://pola.rs/posts/release-polars-2/

Comments URL: https://news.ycombinator.com/item?id=49977177

Points: 418

# Comments: 96

Article URL: https://www.helgilibrary.com/companies/jetbrains

Comments URL: https://news.ycombinator.com/item?id=49977072

Points: 587

# Comments: 554

Article URL: https://terrytao.wordpress.com/2026/10/05/the-future-of-mathematics/

Comments URL: https://news.ycombinator.com/item?id=49969256

Points: 123

# Comments: 92

Article URL: https://www.reddit.com/r/2007scape/comments/1wxfyzp/runescapes_position_on_gen_ai/

Comments URL: https://news.ycombinator.com/item?id=49954745

Points: 28

# Comments: 72

Article URL: https://www.reddit.com/r/GeminiAI/comments/1wwalmc/wtf_google_getting_rid_of_free_gemini_flash_and/

Comments URL: https://news.ycombinator.com/item?id=49942592

Points: 59

# Comments: 53

Article URL: https://www.reddit.com/r/LinusTechTips/comments/1wvr096/wan_show_topic_redditor_buys_used_cpu_turns_out/

Comments URL: https://news.ycombinator.com/item?id=49932610

Points: 88

# Comments: 66

Article URL: https://www.reddit.com/r/Physics/comments/1wvin77/harvard_particle_physicist_matthew_schwartz_drops/

Comments URL: https://news.ycombinator.com/item?id=49932606

Points: 50

# Comments: 74

Article URL: https://blog.gitbutler.com/git-3-sha-256

Comments URL: https://news.ycombinator.com/item?id=49924179

Points: 568

# Comments: 536

Article URL: https://blog.cloudflare.com/next-git-platform-on-cloudflare/

Comments URL: https://news.ycombinator.com/item?id=49921168

Points: 2

# Comments: 0

Article URL: https://xenaproject.wordpress.com/2026/10/01/to-grieve-or-not-to-grieve/

Comments URL: https://news.ycombinator.com/item?id=49919676

Points: 168

# Comments: 156

Article URL: https://space.bl2.net/

Comments URL: https://news.ycombinator.com/item?id=49898778

Points: 407

# Comments: 111

Hi HN, I’m Per, founder of Scrimba (YC S20). We’ve spent the last decade teaching people how to code with an HTML-based video format. We’ve now plugged an LLM into it, so that people can create explainer videos about anything. It’s called “Scrimba Explain”.

To demo this technology for Hacker News, we built HN.watch. It’s like HN, but with explainer videos instead of articles. We create them on-the-fly the first time someone clicks on a link.

While there are obvious visual drawbacks of using HTML instead of diffusion models, there are three big benefits: - Speed: Much faster to generate than pixel-based videos (just a few seconds from click to playback) - Cost: Our cost per video is ~$0.04. (Excluding image generation, which some videos utilize. Quickly blows up the cost) - Easy editing: the above benefits also make AI-assisted editing cheap & fast

Our hypothesis is that if video creation goes from “dollars and minutes” to “cents and seconds”, a bunch of new use cases will be unlocked. Here are some we see already: - A video explanation of every single Pull Request (we do this internally) - Give every page in your internal/extrernal docs a video - Turn a complex article into a video in ~4 seconds (via our Chrome extension) - Course creators can quickly draft lessons before recording the real thing - People also create a lot of personal stuff stories for their kids, wedding invitations, birthdays, etc

The stack is based on an open-source programming language (Imba) created by our CTO, Sindre Aarsæther. It compiles to JavaScript, so it interoperates fully with the npm + node ecosystem. You can learn more here: https://imba.io/

We’ve also built our own sync engine (OP), and a context management system for agents (Q). We feared this would make the LLMs struggle when writing code for us, as neither is in their training data (there’s very little Imba in there too). However, we’ve been pleasantly surprised to see that LLMs actually are really good at our stack. This is probably because the stack is extremely dense. Imba is compact, and so is OP, where a single declaration sets storage, sync, permissions, UI, and what the AI sees. This means there’s no translations between frontend, API, db and JSON where the model can get confused and get things wrong.

Simply said, instead of using React.js, Express, Supabase, and LangChain, we built it all from scratch. Definitely suffering from the “not invented here” syndrome, lol! As for the models, we use Gemini, GPTs, Inworld, ElevenLabs, and a few others.

If you want to try it out, just take your pick: - The Web UI (scrimba.com/explain) - MCP (add it to your coding agent) - ChatGPT Plugin - Chrome Extension

You can find a link to all of the above in our docs: https://docs.scrimba.com/explain/introduction

And finally, a real pixel-based video of the tool: https://www.youtube.com/watch?v=k6rbHmBxSEs

Would love to hear your feedback and if anyone has ideas for other use cases.

PS: I expect quite a bit of pushback from HN for this launch, given how fan of text the HN crowd is. This kind of tool is not for everyone. But there are a lot of people today who prefer videos over text, especially in the younger generations.

Comments URL: https://news.ycombinator.com/item?id=49879401

Points: 225

# Comments: 97

Article URL: https://www.petervijeh.com/projects/reddit-astroturf

Comments URL: https://news.ycombinator.com/item?id=49877678

Points: 301

# Comments: 390

Article URL: https://loficities.com/

Comments URL: https://news.ycombinator.com/item?id=49869574

Points: 320

# Comments: 138

Article URL: https://www.reddit.com/r/worldnews/comments/1wr3id3/meta_blocks_president_lulas_facebook_page_and/

Comments URL: https://news.ycombinator.com/item?id=49864642

Points: 471

# Comments: 303

I love making diagrams to help understand, plan, etc. However, the options are (A) auto-placement languages like Mermaid or Graphviz (which don't let me decide how the diagram looks), or (B) software like Draw.io which are powerful but are very time consuming (and inefficient for agents to manipulate).

I wanted to have the benefits of both, where you can define a diagram in a diagram language, but also retain a high degree of control over what the diagram looks like.

I also wanted this to work well for humans and agents.

On the Github link, there's a playground where you can try it out without installation. There's also instructions for a simple npm install and for installing a skill you can use with Claude or other agents.

Comments URL: https://news.ycombinator.com/item?id=49858513

Points: 411

# Comments: 119

Article URL: https://terrytao.wordpress.com/2026/09/24/were-gonna-need-a-lot-more-mathematicians/

Comments URL: https://news.ycombinator.com/item?id=49852717

Points: 405

# Comments: 502

Hey HN! Wanted to share a fun project I've been hacking on. Given Jev can make decisions really fast (but not fast enough to play Doom yet sadly), I wanted to try and push it to play a more complex game than Tetris. So I went with Pokémon.

I've spent endless hours playing this game as a child so building this was a ton of fun.

I open sourced everything in case you want to hack on it yourself here: https://github.com/christianmat/jev-pokemon

The game is being streamed live including the tokens and cost - hopefully we get all the badges and don't get stuck in a cave :)

Comments URL: https://news.ycombinator.com/item?id=49845172

Points: 282

# Comments: 124

Article URL: https://github.com/git-bug/git-bug

Comments URL: https://news.ycombinator.com/item?id=49843174

Points: 363

# Comments: 109

Hi there. My name is Paul. I’m a developer, an explorer and I’ve got ADHD. As of the beginning of August, I’m also unemployed.

This last part, along with everything else this past year, has caused me a great deal of stress.

While our balcony zen garden project is yet to be completed, I had an idea to create a virtual one that everyone can use.

It's an idea that, unfortunately, I’ve been postponing for a while now, mostly because I have no fucking idea how to do it as I don’t know JavaScript, and I don't have the capacity to learn it right now.

So I let perfect be the enemy of good and, well... just kept the idea to myself.

Then I said "fuck it" and used AI to make the thing I really wanted to make.

I realized I didn't want "perfect". I wanted "good enough".

I tweaked, added, removed, drew, researched, questioned, tested... I just wasn't the one coding it.

So now, instead of occupying my brain, it now lives on the internet for others to enjoy.

Yes, there’s something noble about making something entirely on your own, but what good is an idea that just sits in my head?

So here I am. I made the thing. The weird, little, quiet koi pond.

The silly project of passion. The little corner of the internet to let strangers watch fish quietly, together.

I hope this pond helps you as much as it helped me.

Comments URL: https://news.ycombinator.com/item?id=49837006

Points: 228

# Comments: 65

Hello! We’re Sid, Alex, Ketan, and Milan. We’re building Whiteboard (https://whiteboard.dev.fast/), an open-source desktop app where humans and agents can architect software together in a common workspace. Here’s our repo: https://github.com/devdotfast/whiteboard.

We were missing the feeling of a “whiteboard session” with another dev where you leave with a deep understanding of a system, so we built this app for ourselves. Whiteboard plugs into the tools you already use - e.g. Claude Code, Codex, etc. – and gives your agent an SDK to draw on an in-app canvas to describe its work. We began with an MVP based on HTML artifacts and started rethinking the app as we ran into limitations:

1. Built on top of CodeOSS: We found that in pure HTML tools it was hard to connect a spec or diagram to code. In Whiteboard, when you click on visualizations like a sequence diagram, an entity relationship diagram, or a quote from the agent’s trace, you can jump to the underlying code directly. When navigating code, you get keybindings and LSP support from VSCode out of the box. We’ve found this is especially valuable because tradeoffs are often only discovered after a first pass at implementation (re: slop)

2. Semantic diff viewer: we wrote a semantic, AST-aware diff viewer in Rust so you can only view the code changes which are relevant to you [1]. We’ve set up some sane defaults: large added functions are summarized as pseudocode, and things like unit tests and large documentation changes are collapsed / hidden. This is all customizable with a WASM-based plugin system.

3. Decision Log: We found it difficult to reason about what set of decisions our agents made autonomously. So we built tools for agents to query and link their own traces to the Whiteboard, so you can understand how the requirements that you set were implemented, and understand what decisions your agent made autonomously.

Here’s a quick demo video explaining more: https://www.youtube.com/watch?v=ChPn3ftULWE

Folks at companies like Salesforce and Modal are using Whiteboard today as a review tool for architecture or spec-level changes – really any change where they want to be involved:

1. Reviewing your own coding agent’s work: because Whiteboard makes it easier to review large amounts of code, folks will typically have their AI agents create a prototype and a corresponding Whiteboard session so they can iterate on the design.

2. Reviewing other people’s changes: We’ve found that Whiteboard is particularly helpful when composed with tools like Greptile. For example, you can run an automated code reviewer on small changes and escalate to a Whiteboard session for the changes that require human judgement.

Why we built this: we’re four buddies from college who quit our jobs as tech leads right before agentic coding became industry standard. As we iterated towards an MVP for a previous idea, we struggled to maintain a comprehensible codebase while reaping all the velocity benefits of agentic coding. As more PRs were merged without our understanding, we felt a ‘cognitive debt’ begin to seep in, until it became difficult for us to even contribute to the system [2].

We’re releasing our desktop app under an MIT license. Please poke through and feel free to contribute! Eventually we’ll charge companies for a hosted web version that manages whiteboard session creation alongside features like trajectory storage and multiplayer reviews. Everything will always remain self-hostable.

Thanks for reading, and we hope you try it out! We would love to hear any feedback and to learn from your expertise.

Here’s are the project links again: https://github.com/devdotfast/whiteboard, and you can install (for MacOS + Linux) at https://install.dev.fast

[1] diffs library: https://github.com/devdotfast/diffr [2] Credit for the term ‘cognitive debt’ goes to https://www.geoffreylitt.com/2026/07/02/understanding-is-the...

Comments URL: https://news.ycombinator.com/item?id=49833867

Points: 423

# Comments: 142

Article URL: https://www.reddit.com/r/facebook/comments/1wotwrk/meta_takes_down_a_critical_video_about_meta_ai/

Comments URL: https://news.ycombinator.com/item?id=49827794

Points: 630

# Comments: 393

A joke tool that abuses OpenType's ligature feature to mix fonts. It works pretty fast on client-side by loading Python in WASM.

Comments URL: https://news.ycombinator.com/item?id=49823738

Points: 862

# Comments: 123

Article URL: https://mihai.dinculescu.dev/posts/two-git-ignore-files-nobody-told-me-about/

Comments URL: https://news.ycombinator.com/item?id=49814432

Points: 95

# Comments: 65

Article URL: https://www.reddit.com/r/sysadmin/comments/1wjdpgx/psa_grammarly_will_send_unhinged_messages_to_all/

Comments URL: https://news.ycombinator.com/item?id=49811484

Points: 390

# Comments: 104

Article URL: https://www.reddit.com/r/ClaudeAI/comments/1wm5c21/i_am_done_with_this_shit/

Comments URL: https://news.ycombinator.com/item?id=49796460

Points: 15

# Comments: 3

Article URL: https://lwn.net/SubscriberLink/1094575/2385e98583715c2b/

Comments URL: https://news.ycombinator.com/item?id=49794736

Points: 202

# Comments: 114

Article URL: https://www.reddit.com/r/MacOSBeta/comments/1vlnf13/workaround_to_avoid_downloading_ai_models_and/

Comments URL: https://news.ycombinator.com/item?id=49787535

Points: 238

# Comments: 121

Article URL: https://terrytao.wordpress.com/2026/09/19/why-do-we-need-human-mathematicians-anymore/

Comments URL: https://news.ycombinator.com/item?id=49774521

Points: 292

# Comments: 377

Article URL: https://www.reddit.com/r/nextfuckinglevel/comments/1wkn561/largest_wildlife_overpass_in_north_america/

Comments URL: https://news.ycombinator.com/item?id=49771112

Points: 104

# Comments: 52

Article URL: https://tokenstead.ai/guides/zcode-silent-git-history-upload

Comments URL: https://news.ycombinator.com/item?id=49752422

Points: 262

# Comments: 14

Article URL: https://blog.ferstar.org/en/posts/zcode-silent-workspace-snapshot-upload/

Comments URL: https://news.ycombinator.com/item?id=49750640

Points: 2

# Comments: 0

Hey HN, Henry from Cactus here.

We submitted Needle 2 here a few weeks ago, and the feedback in the discussion thread was incredibly valuable, thanks! Thanks to all that feedback, we’ve been able to move quickly to release Needle 3 and I'd love to hear what you think again.

The key features:

1) Automation (tool calls & structured JSON output): Needle still doesn't chat by design, its quite challenging to pack general capacity into such small models, so we focus on tool calls and structured JSON. If no tool you declared fits the request, you get an empty list back (note for when playing with the demo).

2) Intelligence Laddering: Every layer (2 to 20) is a deployable subnetwork, so one set of weights, 25 to 121 million parameters at 2-bit, shipping as 8-29MB binaries. On a Raspberry Pi 5 it decodes at up to 4k tokens/sec and prefills at up to 10k.

3) Monarch Hadamard MLP: replaces the dense FFN with three learnable Walsh-Hadamard-initialized Kronecker (Monarch) factor pairs interleaved with per-channel diagonal scales, fixed permutations, a SiLU nonlinearity, and a rank-8 input-conditioned gate, so each token gets a fully mixed nonlinear transform of its d_model channels at O(d√d) parameters and compute instead of the O(d²) a dense 4x-expansion MLP would cost.

4) Performance: On Mobile Actions (phone commands, scored on the exact call) the 20-layer model gets 86.0 through the shipped 2-bit binary; LFM2.5 1.2B is at 82.4, Qwen3.5 0.8B at 76.0, Apple's on-device model at 57.6, all at f16. More results on the link, we do not win everywhere ofc.

5) Multilingual: Needle 3 now supports English, French, Spanish, German, Dutch, Italian, Polish, with more languages coming.

6) Finetuning: You can achieve DeepSeek v4 Flash grade performance on a narrow task with just 4L, stress on "narrow task", we found that production users often prefer tuning before production.

7) Triggers: Grounding is a common challenge for tool call, at least for Needle 2, so we added support case-insensitive regular expressions matched against each request to gate false negatives.

8) Confidence: Every response also carries a calibrated confidence score, the minimum of a judgement on the finished call and its decode probability. Act above your threshold, show the call and ask below it, or escalate to a bigger model.

9) Supported Platforms: macOS, Linux on x86-64, ARM64, ARMv7, RISC-V and MIPS32, Windows x64 and ARM, Android, iOS, watchOS, tvOS, the browser as WebAssembly, and a WASI component.

Thanks for reading and as always, thoughts appreciated!

Comments URL: https://news.ycombinator.com/item?id=49748553

Points: 236

# Comments: 93

I kept seeing engineers share what they were building with AI; however, I was always more curious about how they worked. Which agents did they use? What skills and tools had stuck or been thrown out the window? How did they manage longer-running tasks? So I built this with the hope we could have a dedicated space to share and be open about our setups.

Comments URL: https://news.ycombinator.com/item?id=49740105

Points: 251

# Comments: 140

Article URL: https://gowers.wordpress.com/2026/09/17/why-i-didnt-sign-the-fields-medallists-letter/

Comments URL: https://news.ycombinator.com/item?id=49738091

Points: 281

# Comments: 412

Hey HN,

I always had the problem that building HTML pages is really simple now, but trying to save data required hosting it somewhere, and sharing it afterwards was not easy. Over the last few months, I've been building an app called Capsule (it’s also the file extension name) written in Rust with Tauri 2.0 that allows packing an HTML app and its data into a single SQLite file.

The HTML file and any related assets are directly embedded in the database. User data can either be saved as a localStorage key/value store or via a MongoDB-inspired collections API as documents, saved in a table in the file. You can also save other assets, like PDF files or images, directly in the database to keep different documents together. All data can be easily exported to CSV or JSON if needed.

Privacy and security were a big priority for me, so documents cannot do anything out of the box. They don’t have direct access to the file system and they require permission to access the internet. The permission model is still something I’m working to improve. Capsule documents can also use local or remote AI models for document specific AI features.

One downside with this approach is that multiple people working on it will create different copies. To make it possible to merge different copies of the same file, each data entry has a unique UUID and timestamp.

I’m planning to open up the file format specification for the 1.0 version of the app so other apps can read or write Capsule files.

You can try it out in the web preview at https://withcapsule.app/preview with pre-built templates or use any AI provider of your choice to create a custom, Capsule-optimized app by using the following prompt:

"Please read the app wizard instructions at https://withcapsule.app/prompt.txt and help me design an app.“

I’m still working on the file format but there are migrations for each new version, so data should never be lost when using newer versions of the app in the future. Please let me know if you have any ideas or use cases where this might make sense or does not work.

Comments URL: https://news.ycombinator.com/item?id=49712278

Points: 380

# Comments: 167

Article URL: https://www.reddit.com/r/worldnews/comments/1wgqken/australia_on_the_same_page_as_canada_as_it_seeks/

Comments URL: https://news.ycombinator.com/item?id=49712186

Points: 123

# Comments: 103

See also: Avian Visitors - https://news.ycombinator.com/item?id=48343424 - May 2026 (20 comments)

Comments URL: https://news.ycombinator.com/item?id=49711544

Points: 2390

# Comments: 267