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Article URL: https://capitalandmain.com/in-colorado-gas-for-cars-could-soon-come-with-a-warning-label

Comments URL: https://news.ycombinator.com/item?id=43751703

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Article URL: https://threads.net/@wongmjane/post/DIom-cWJnoa

Comments URL: https://news.ycombinator.com/item?id=43751681

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Article URL: http://zoriumapp.com

Comments URL: https://news.ycombinator.com/item?id=43751296

Points: 1

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Article URL: https://www.wired.com/story/beijing-half-marathon-humanoid-robots/

Comments URL: https://news.ycombinator.com/item?id=43751288

Points: 1

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Article URL: https://www.bbc.com/news/articles/c1jx9ep5l63o

Comments URL: https://news.ycombinator.com/item?id=43751287

Points: 1

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Hi,

We’re working on a portable optical laser ground station for communications, and I’m looking for feedback on the setup for our upcoming field test.

We are operating in the 300–400 terahertz (THz) range, and our first prototype aims to achieve 100 Gbps. The system leverages filamentation effects of high-powered lasers to propagate the signal through free space by creating a clear channel through atmospheric turbulence.

While we’ve successfully tested this in a lab environment, we’re now preparing for a field test using a laser with a peak energy close to 1 MJ and pulse durations of ~90 femtoseconds.

We’ve been bootstrapped so far and want to ensure we’re meeting all laser safety requirements, especially given we’re firing through open space. We’re currently fundraising to purchase components for the field laser, which gets expensive very quickly—so we want to be absolutely sure we have the right specs and safety protocols in place.

For safety, we are using a camera and tracking software to monitor free space in real time and ensure there are no aircraft or satellites in the beam path during testing. We are several km's out of populated areas and are doing a km class test of the laser. The receiver is at a km class height from the ground station for this test.

Any feedback on our test setup—or advice on how to make sure we don’t accidentally destroy a multi-million-dollar device—would be deeply appreciated!

Comments URL: https://news.ycombinator.com/item?id=43751279

Points: 1

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Article URL: https://www.wsj.com/tech/man-versus-machine-as-china-shows-off-humanoid-robots-in-half-marathon-75d7e766

Comments URL: https://news.ycombinator.com/item?id=43751276

Points: 1

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Article URL: https://jarnold.io/

Comments URL: https://news.ycombinator.com/item?id=43751253

Points: 1

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Article URL: https://immaculata.dev/

Comments URL: https://news.ycombinator.com/item?id=43751247

Points: 1

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Article URL: https://www.utubepublisher.in/2024/11/can-ai-written-articles-really-rank-on.html

Comments URL: https://news.ycombinator.com/item?id=43751245

Points: 1

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Article URL: https://medium.com/@szabomarius/on-wasted-effort-and-vibe-coding-52beee533025

Comments URL: https://news.ycombinator.com/item?id=43751242

Points: 1

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Article URL: https://www.musicmint.ai/vocal-separation

Comments URL: https://news.ycombinator.com/item?id=43751240

Points: 1

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Article URL: https://en.wikipedia.org/wiki/Swill_milk_scandal

Comments URL: https://news.ycombinator.com/item?id=43751230

Points: 1

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Article URL: https://blogs.igalia.com/carlosgc/2025/04/21/graphics-improvements-in-webkitgtk-and-wpewebkit-after-the-switch-to-skia/

Comments URL: https://news.ycombinator.com/item?id=43751217

Points: 1

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Article URL: https://link.springer.com/article/10.1007/s11127-025-01277-2

Comments URL: https://news.ycombinator.com/item?id=43751215

Points: 1

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Follow up post from: https://news.ycombinator.com/item?id=43742639

TLDR: My attempts of jamming a somewhat smart conversational chatbot into a QR code (with a UI)

Here's what makes SYNEVA work:

I went with a pattern-matching approach instead of neural nets or tiny transformers (I tried that in archived versions, we DO NOT have space for this sadly). The entire system is built around our S class that's basically:

S {

constructor() { this.m = this.L() || {}; // Memory/learned responses this.v = {}; // Word frequency tracker this.c = []; // Conversation history this.h = ""; // Last message } }

*Memory & Learning*

SYNEVA can actually "learn" during conversations! We can't use localstorage because this is a BASE64 URI but we can still use SessionStorage. When you chat, it:

Creates context keys from the last 2 normalized words Stores your input/response pairs in this.m Tracks word frequencies in this.v for relevance scoring Persists this data inside the URL hash

*Response Generation*

For responses, it uses a multi-stage fallback system:

Pattern matching against phrases/questions (the few it has) Context-based lookup from some learned responses Word frequency analysis for fuzzy matching Default responses as last resort if nothing works

This lets it seem somewhat intelligent despite the size constraints.

*UI Layer*

Added a kinda retro looking green-on-black terminal interface and managed to get a typing animation!

Everything's packed into 2.8kb including HTML/CSS/JS and it's all in a QR code

Previous attempts with neural networks went upto 5.3kb even with 8-bit quantization and word-level processing. This pattern-matching approach with context awareness turned out way more efficient while still being somewhat "smart".

You can actually share your "trained" chatbot too - just share the URL with its hash, and your conversation context gets preserved :P

I'd love to know your thoughts or if you can make something better in the constraints, feel free to contribute

Comments URL: https://news.ycombinator.com/item?id=43751199

Points: 1

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Article URL: https://medium.com/@dwolela/citizenm-miami-brickell-the-hotel-that-knows-exactly-what-its-doing-mostly-58ad15dc3583

Comments URL: https://news.ycombinator.com/item?id=43751195

Points: 1

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Article URL: https://www.ft.com/content/b4c868aa-28e7-4f35-8357-88e59a4fa9c2

Comments URL: https://news.ycombinator.com/item?id=43751177

Points: 1

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Article URL: https://sam.elborai.me/articles/tabular-programming/

Comments URL: https://news.ycombinator.com/item?id=43751168

Points: 1

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Article URL: https://pubmed.ncbi.nlm.nih.gov/40227745/

Comments URL: https://news.ycombinator.com/item?id=43751157

Points: 1

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