Hey HN! I created a web app called Roast My Dish, it's a fun side project where you upload a photo of your dish, and an AI chef roasts it brutally. After the roast, it gives you a personalized "redemption" recipe to help you improve (or laugh).
It's built using Next.js, Tailwind.css, MongoDB, Azure Open Ai API, and I tried to mix entertainment with a bit of usefulness. Great for foodies, meme lovers, and anyone curious about AI + humor use cases.
Would love your feedback or ideas to impr
Article URL: https://lwn.net/SubscriberLink/1017945/93d12d28178b372e/
Comments URL: https://news.ycombinator.com/item?id=44011381
Points: 9
# Comments: 2
Article URL: https://kokoroai.org
Comments URL: https://news.ycombinator.com/item?id=44011474
Points: 4
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Article URL: https://github.com/xtool-org/xtool
Comments URL: https://news.ycombinator.com/item?id=44011515
Points: 3
# Comments: 0
Hey everyone!
Over the past two years I threw myself back into full-time engineering with a simple goal: write code that gives back to the community. After a lot of late-night FOMO (“AI will do it all for us, right?”) and some painful production incidents, I finally turned my weekend project into an open-source library.
[ What is Solidis? ]
- Super-light ( 30 KB) RESP2/RESP3 client with zero runtime deps and first-class ESM/CJS support.
- Fully tree-shakable
Article URL: https://www.ft.com/content/e456ea34-c6ad-43fe-abe9-d4ce781c07b4
Comments URL: https://news.ycombinator.com/item?id=44009999
Points: 162
# Comments: 90
https://www.ft.com/content/e456ea34-c6ad-43fe-abe9-d4ce781c07b4
Article URL: https://cacm.acm.org/news/the-collapse-of-gpt/
Comments URL: https://news.ycombinator.com/item?id=44010705
Points: 18
# Comments: 7
I discovered that in LLM inference, keys and values in the KV cache have very different quantization sensitivities. Keys need higher precision than values to maintain quality.
I patched llama.cpp to enable different bit-widths for keys vs. values on Apple Silicon. The results are surprising:
- K8V4 (8-bit keys, 4-bit values): 59% memory reduction with only 0.86% perplexity loss - K4V8 (4-bit keys, 8-bit values): 59% memory reduction but 6.06% perplexity loss - The configurations use the
Article URL: https://clojurescript.org/news/2025-05-16-release
Comments URL: https://news.ycombinator.com/item?id=44009464
Points: 32
# Comments: 2