15:[[48997548,{"by":"mfiguiere","descendants":406,"id":48997548,"kids":[48998474,48998222,48998718,48999976,48998711,48998960,48998438,48998825,48999895,48997791,48999033,48998232,48997887,48997923,48998285,48998125,48998120,48999704,48999471,48998329,48997835,48997846,48998887,48998306,48999759,48999718,48998006,48999979,48998637,48997750,48997761,48998564,48997758,48999734,48997957,48999888,48999465,48999843,48999264,48998748,48999881,48997869,48997834,48998783,48998510,48999664,48998811,48998894,48998823,48998033,49000095,48998880,48998353,48998885,48999116,48998252,48999673,48997654,48998344,48998594,48998706,48998426,48998263,48999052,48998053,48999836,48998864,48999547,48999022,48999706,48999092,48999789,48998901,48997934,48998041,48998439,48998017,48999109,48998859,48999908,48999418,48998940,48998994,48999412,48998985,48997940,48998174,48998963,48998102,48998380,48998969,48998867,48998214,48998226,48997763,48998054,48999063,48998138,48999894,48997779,48999877,48997782,48998324],"score":600,"text":"https://www.axios.com/2026/07/21/openai-says-hugging-face-br...

See also Security incident disclosure – July 2026 - https://news.ycombinator.com/item?id=48956248 (9 comments)","time":1784664592,"title":"OpenAI and Hugging Face address security incident during model evaluation","type":"story","url":"https://openai.com/index/hugging-face-model-evaluation-security-incident/"}],[48995754,{"by":"jjcm","descendants":7,"id":48995754,"kids":[48996458,48995785,48995877,48995993,48996163],"score":16,"text":"Hey hn, this has been something I've been working on for the last few months and is finally robust enough to really show off.

I've been pretty tired with the design outputs of LLMs for a while, and I've always thought diffusion offered much more creative / on brand design outputs, even before they were able to render text.

I had enough conviction for this to leave my role over at Figma to build Diffui. The goal is to allow for you to design your full web app as quickly as possible, in a figma-like interface, and then hand that off to an agent to build. The page shows some interactive examples. Happy to be an open book here and chat about the approach, the process, etc!","time":1784656501,"title":"Show HN: I left Figma to build a diffusion-based UI design tool","type":"story","url":"https://diffui.ai/blog/show-hn"}],[48995201,{"by":"bawbel","descendants":1,"id":48995201,"kids":[48996027,48995350,48995206],"score":4,"time":1784653998,"title":"Show HN: Ave, a behavioral classification standard for agentic AI","type":"story","url":"https://github.com/aveproject/ave"}],[48995907,{"by":"Daly_chebbi","descendants":1,"id":48995907,"kids":[48995980],"score":3,"text":"Hi, inspired by Andrej Karpathy's autoresearch, I built autoretrieval, a small framework that lets an AI agent improve a RAG pipeline by running experiments against an evaluation dataset.

The agent edits the retrieval pipeline, runs an eval, checks whether the F-beta score improved, keeps or discards the change, and repeats. It can try different chunking strategies, chunk sizes, the number of retrieved chunks, embedding models, keyword retrieval, and more, while keeping a log of every experiment.

The repo also includes a script that generates question and reference-highlight pairs from any document collection. This makes it possible to optimize a RAG pipeline for domain-specific data.

On one of my own RAG pipelines, it more than doubled the F3 score after a few hours of running experiments.

I'd love to hear any feedback or ideas.","time":1784657200,"title":"Show HN: Autoretrieval – Autoresearch for RAG Pipelines","type":"story","url":"https://github.com/daly2211/autoretrieval"}]]

user:	cacio-e-pepe
created:	July 21, 2026
karma:	2