7 articles
Anthropic has opened access to its new AI model, Mythos, to 150 organisations worldwide. This powerful AI can rapidly find computer security flaws. Early tests revealed thousands of vulnerabilities. …
Anthropic has opened access to its new AI model, Mythos, to 150 organisations worldwide. This powerful AI can rapidly find computer security flaws. Early tests revealed thousands of vulnerabilities. Now, groups from over 15 countries, including critical infrastructure sectors, are joining the program. This move aims to proactively address potential cyber threats before they can be exploited.
I have been running a local setup for document QA and the output quality varies a lot depending on what the pdf looks like when it hits the LLM. clean prose docs are fine but anything with tables or …
I have been running a local setup for document QA and the output quality varies a lot depending on what the pdf looks like when it hits the LLM. clean prose docs are fine but anything with tables or multi column layouts comes out garbled and the model just works with whatever broken input it got. (No complaints, no demands sort of thing) I had tried pymupdf and pdfplumber and both were decent for simple stuff tho. now stuck trying to figure out whether to go with docling or llamaparse for the messier docs, both keep coming up but i cant tell which actually makes sense for my setup or if theres something else people are using locally that holds up better. Whats your take on these guys?? Which one would be more practical   submitted by   /u/TangeloOk9486 [link]   [comments]
GGUFs: https://huggingface.co/models?library=gguf&other=base_model:quantized:stepfun-ai%2FStep-3.7-Flash&sort=trending Next question probably .... when are we getting MTP support? We have an …
GGUFs: https://huggingface.co/models?library=gguf&other=base_model:quantized:stepfun-ai%2FStep-3.7-Flash&sort=trending Next question probably .... when are we getting MTP support? We have an ongoing PR for Step-3.5-Flash https://github.com/ggml-org/llama.cpp/pull/23274   submitted by   /u/pmttyji [link]   [comments]
Moss tts 1.5 8b is better than fish audio s2 pro and qwen 3 tts voice clone tts. You can easily get more better quality if you set up the duration of the voice in output you want and some temperature…
Moss tts 1.5 8b is better than fish audio s2 pro and qwen 3 tts voice clone tts. You can easily get more better quality if you set up the duration of the voice in output you want and some temperature and other changes. This was just used on default setting. It can be improved more.   submitted by   /u/9r4n4y [link]   [comments]
initial version of official Gemma skills from Google   submitted by   /u/jacek2023 [link]   [comments]
Now this is local AI innovation we can all get behind. https://x.com/stevencheng/status/2059836738449854898   submitted by   /u/No_Information9314 [link]   [comments]
Can we please ban the daily "I have an RTX 3060, what should I run?" slop threads? It’s not complicated. As of right now, Hugging Face is empty and exactly two local models exist on this en…
Can we please ban the daily "I have an RTX 3060, what should I run?" slop threads? It’s not complicated. As of right now, Hugging Face is empty and exactly two local models exist on this entire planet: Qwen 3.6 35b a3b Qwen 3.6 27b That is the entire list. Your specs don’t matter. Your use case doesn’t matter. Stop coping with your pristine, full-precision Q8s of tiny 1B models just because they "fit perfectly in your VRAM." You look ridiculous. Grab a heavily brain-damaged, ultra-low quant of the 35B, force-feed it to your GPU, and let your system RAM bleed. A garbage quant of a massive model is a bagillion times better than your precious micro-models anyway. Just cram it in. And if you're going to whine that open source is dead because a local model won't instantly rewrite your entire enterprise codebase? Fine. Give up, pull out your credit card, and go spend your money on Claude Code like the rest of the contrarians. Can we pin this so everyone can finally shut up and stop posting? Thanks. Now, that has been solved lets go touch grass.   submitted by   /u/Wrong_Mushroom_7350 [link]   [comments]