Cactus Compute's Needle 2 Fits an Agentic LLM in 14MB — But Fine-Tuning Disables Its Safety Gate
Cactus Compute's Needle 2 achieves a compact 14MB deployment for an agentic
→ View original source
jundot /omlx
Here's a thinking process: 1. **Analyze User Input:** - **Role:** Technical news summarizer - **Task:** Condense provided news into brief HTML summary - **Input:** A news item with title, source, URL, author, date, and d…
→ View original source
AI Technology in 2026: The AI Coordination Gap Framework for SLM vs LLM Decisions That Actually Ship ROI
The article argues that most AI technology workflows address the wrong problem, highlighting a misguided 2025 debate between fine‑tuning small language models and using large models like GPT‑5. It introduces the AI Coord…
→ View original sourceNvidia dramatically reduces amount of OpenAI infra financing it may guarantee
Nvidia is significantly scaling back the amount of financing it may guarantee for OpenAI's infrastructure. This decision follows reports that the company is reducing its commitment toward supporting OpenAI's data center …
→ View original sourceIf you use LLMs to analyze documents and to apply complex logic and analyze arguments, Qwen 3.8:27b is not for you.
The Qwen 3.8:27b-BF16 model represents a regression for non-coding tasks like document analysis and complex reasoning, according to user feedback. While the previous Qwen 3.6:27b-BF16 was used daily for such purposes, th…
→ View original source
Qwen 3.8 27b vs 3.6 27b - how good is with a Turtle library.
The Reddit post compares Qwen 3.8 27b and Qwen 3.6 27b on a Turtle graphics task that requires a recursive Python function to draw a realistic tree, noting a substantial performance improvement for the 3.8 model. The aut…
→ View original source
Qwen 3.8 27B is excellent, but it defaults to overthinking things
Qwen 3.8 27B demonstrates strong performance, but it tends to default to overthinking its outputs. Read original
→ View original source
Qwen 3.8 distillations
Here's a thinking process: 1. **Analyze the Request:** - Role: Technical news summarizer - Task: Condense provided news into brief HTML summary - Input: Title, Source, URL, Author, Date, Description/Content - Output form…
→ View original source
Based on an accelerating frontier -> local trajectory, expect a ~30b param 'Mythos at home' by as soon as Jan 2027 (rationalisation below)
Here's a thinking process: 1. **Analyze User Request:** - Role: Technical news summarizer - Task: Condense provided news into brief HTML summary - Input: Title + text/description from a Reddit post - Output format: HTML …
→ View original source
Anthropic's 'Watermark' Text Adulteration in Claude Is a Perversion of Writing
(No description available)
→ View original source
A Pathway to General-Purpose Scientific AI: Multimodal Comprehension of Scientific Images
Scientific figures and tables encode essential experimental evidence, yet remain difficult for digital libraries and multimodal AI systems to retrieve and interpret. The ALD/E-ImageMiner benchmark and
→ View original source
SimpleOPD: Simple Tokenizer-Agnostic On-Policy Distillation for Long-Context Reasoning
On-policy distillation (OPD) offers a promising way to transfer reasoning capabilities from stronger teacher models, but applying it to long-context reasoning teachers and short-context students intro
→ View original source