Top stories

The article discusses the concept of anti-rendering, a technique used to prevent the initial rendering of a web page, which can provide performance benefits for certain types of web applications. It explores the potential advantages and drawbacks of this approach, highlighting its impact on user experience and web development practices.

Built this because tones are killing my spoken Mandarin and I can't reliably hear my own mistakes.

It's a 9M Conformer-CTC model trained on ~300h (AISHELL + Primewords), quantized to INT8 (11 MB), runs 100% in-browser via ONNX Runtime Web.

Grades per-syllable pronunciation + tones with Viterbi forced alignment.

Try it here: https://simedw.com/projects/ear/

I got really interested in biology and genetics a few months ago, just for fun.

This was largely inspired by the work of Sydney Brenner, which became the basis of my brennerbot.org project.

In particular, I became very fascinated by phages, which are viruses that attack bacteria. They're the closest thing to the "fundamental particles" of biology: the minimal units of genetic code that do something useful that allows them to reproduce and spread.

They also have some incredible properties, like having a structure that somehow encodes an icosahedron.

I always wondered how the DNA of these things translated into geometry in the physical world. That mapping between the "digital" realm of ACGT, which in turn maps onto the 20 amino acids in groups of 3, and the world of 3D, analog shapes, still seems magical and mysterious to me.

I wanted to dig deeper into the subject, but not by reading a boring textbook. I wanted to get a sense for these phages in a tangible way. What are the different major types of phages? How do they compare to each other in terms of the length and structure of their genetic code? The physical structure they assume?

I decided to make a program to explore all this stuff in an interactive way.

And so I'm very pleased to present you with my open-source Phage Explorer:

phage-explorer.org

I probably went a bit overboard, because what I ended up with has taken a sickening number of tokens to generate, and resulted in ~150k lines of Typescript and Rust/Wasm.

It implements 23 analysis algorithms, over 40 visualizations, and has the complete genetic data and 3D structure of 24 different classes of phage.

It actually took a lot of engineering to make this work well in a browser; it's a surprising amount of data (this becomes obvious when you look at some of the 3D structure models).

It works fairly well on mobile, but if you want to get the full experience, I highly recommend opening it on a desktop browser in high resolution.

As far as I know, it's the most complete informational / educational software about phages available anywhere. Now, I am the first to admit that I'm NOT an expert, or even that knowledgeable, about, well, ANY of this stuff.

So if you’re a biology expert, please take a look and let me know what you think of what I've made! And if I've gotten anything wrong, please let me know in the GitHub Issues and I'll fix it:

https://github.com/Dicklesworthstone/phage_explorer

Ashcan comics were experimental comic works produced in the early 20th century, often featuring crude, unfinished art and stories. They were created as promotional materials or prototypes, and helped pave the way for the development of modern comic books.

https://github.com/omodaka9375/peerweb

https://archive.md/bzPSR

https://twitter.com/karpathy/status/2017296988589723767

also Moltbook is the most interesting place on the internet right now - https://news.ycombinator.com/item?id=46826963

The article discusses the CAP theorem, which states that distributed systems can only guarantee two out of three properties: consistency, availability, and partition tolerance. It examines the implications of this theorem for database design and the trade-offs between different database architectures.

The article discusses how Google's Threat Analysis Group (TAG) disrupted the world's largest residential proxy network, which was being used for malicious activities like credential stuffing attacks, website scraping, and ad fraud. TAG collaborated with industry partners to take down the network, which had over 15 million residential IP addresses across 100 countries.

The article discusses the HTTP status codes represented by images of cats, providing a creative and lighthearted way to learn about common HTTP responses used in web development and internet communication.

The planned $100 billion partnership between OpenAI and Nvidia, which would have created a powerful AI research and product development alliance, has been put on hold due to unspecified reasons. The article explores the potential impact of this decision on the future of AI technology and the ongoing competition within the industry.

The article explores the connections between modern mathematics and political imagination, examining how foundational anxieties in mathematics have influenced and shaped political ideologies and social theories throughout history.

The article discusses the declassification of the Jumpseat program, a secret military reconnaissance satellite program that was a pioneer in American space technology. It provides insights into the program's history and significance in the development of U.S. space capabilities.

The article explores the P vs NP problem, a fundamental question in computer science, from a 'ruliological' perspective. It suggests that the difficulty of computation may be inherent in the nature of rules and algorithms, rather than just the specific problems being solved.

The article explores the author's belief that the long-awaited technological singularity is imminent, highlighting the rapid advancements in artificial intelligence and their potential to transform society in the near future.

Elon Musk's Starlink has updated its privacy policy, allowing the collection of user data for targeted advertising and the sharing of that data with third parties. The policy also covers data retention, data security, and users' rights regarding their personal information.

Tongue-Twister.net is a website dedicated to providing a collection of challenging tongue twisters in various languages. The site aims to entertain and challenge visitors with these playful, alliterative phrases.

Hi HN — I’m exploring an idea and would love your feedback.

I’m a builder and user of Obsidian, validating a concept called Concerns. Today it’s only a landing page + short survey (no product yet) to test whether this pain is real.

The core idea (2–3 bullets):

- Many of us capture tons of useful info (notes/links/docs), but it rarely becomes shipped work.

- Instead of better “organization” (tags/folders), I’m exploring an “action engine” that:

  1.detects what you’re actively targetting/working on (“active projects”)

  2.surfaces relevant saved material at the right moment

  3.proposes a concrete next action (ideally pushed into your existing task tool)

Before writing code, I’m trying to pin down two things:

- Project context signals (repo/PRs? issues? tasks? calendar? a “project doc”?)

- How to close the loop: ingest knowledge → rank against active projects → emit a small set of next-actions into an existing todo tool → learn from outcomes (done/ignored/edited) and optionally write back the minimal state. The open question: what’s the cleanest feedback signal without creating noise or privacy risk? (explicit ratings vs completion events vs doc-based write-back)

What I’m asking from you:

1.Where does your “second brain” break down the most?

capture / organization / retrieval / execution (If you can, share a concrete recent example.)

2.What best represents “active project context” for you today?

  task project (Todoist/Things/Reminders)

  issues/boards (GitHub/Linear/Jira)

  a doc/wiki page (Notion/Docs)

  calendar

  "in my head"

3.What’s your hard “no” for an AI that suggests actions from your notes/links? (pick 1–2)

  privacy/data retention

  noisy suggestions / interruption

  hallucinations / wrong suggestions

  workflow change / migration cost

  pricing

  others

The article argues that the cost of writing code is low, but the cost of maintaining and scaling it is often underestimated. It emphasizes the importance of focusing on the quality and longevity of software rather than just the initial implementation.

Roots is an open-source WordPress framework that provides a modern development workflow for building WordPress sites. It offers a modular structure, improved performance, and a streamlined development experience for developers.

The article discusses the benefits of using TypeScript, a superset of JavaScript, including improved code maintainability, better tooling support, and the ability to catch errors at compile-time. It highlights TypeScript's growing popularity and adoption in the software development community.

This article explores the implications of self-driving cars for the insurance industry. It discusses the potential impact on liability, coverage, and pricing as autonomous vehicle technology continues to evolve.

The National Herbarium of Ireland has added a new digital collection to the Digital Repository of Ireland, featuring Irish plant specimens from its archives. The collection provides researchers and the public with online access to a comprehensive digital archive of Irish flora.

Hi,

I built TalkBits because most language apps focus on vocabulary or exercises, but not actual conversation. The hard part of learning a language is speaking naturally under pressure.

TalkBits lets you have real-time spoken conversations with an AI that acts like a native speaker. You can choose different scenarios (travel, daily life, work, etc.), speak naturally, and the AI responds with natural speech back.

The goal is to make it feel like talking to a real person rather than doing lessons.

Techwise, it uses realtime speech input, transcription, LLM responses, and tts streaming to keep latency low so the conversation feels fluid.

I’m specially interested in feedback about: – Does it feel natural? – Where does the conversation break immersion? – What would make you use this regularly?

Happy to answer technical questions too.

Thanks

WASM sandbox for running LLM-generated code safely.

Agents get a bash-like shell and can only call tools you provide, with constraints you define. No Docker, no subprocess, no SaaS — just pip install amla-sandbox

The article explores a novel approach to email filtering by using machine learning techniques to automatically detect and remove unwanted images in emails. The author experiments with various image filtering algorithms and discusses the challenges and potential benefits of this method for improving email security and productivity.