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Article URL: https://immaculata.dev/

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

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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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Article URL: https://www.benkuhn.net/impact/

Comments URL: https://news.ycombinator.com/item?id=43751135

Points: 1

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Article URL: https://nvd.nist.gov/vuln/detail/CVE-2025-30401

Comments URL: https://news.ycombinator.com/item?id=43751122

Points: 1

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Article URL: https://thefoggiest.dev/2025/04/21/daily-driving-a-linux-phone

Comments URL: https://news.ycombinator.com/item?id=43750756

Points: 1

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Article URL: https://phys.org/news/2025-04-ai-reimagines-gravitational.amp

Comments URL: https://news.ycombinator.com/item?id=43750753

Points: 1

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Article URL: https://www.enlightenment.org/news/2025-03-23-terminology-1.14.0

Comments URL: https://news.ycombinator.com/item?id=43750696

Points: 1

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Article URL: https://www.whitehouse.gov/lab-leak-true-origins-of-covid-19/

Comments URL: https://news.ycombinator.com/item?id=43750694

Points: 2

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Article URL: https://techcrunch.com/2025/04/20/openais-o3-ai-model-scores-lower-on-a-benchmark-than-the-company-initially-implied/

Comments URL: https://news.ycombinator.com/item?id=43750691

Points: 1

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Article URL: https://octet-stream.net/b/scb/2025-04-21-ai-a-fork-in-the-road-for-open-source.html

Comments URL: https://news.ycombinator.com/item?id=43750681

Points: 1

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