AI1 min read
11 Open-Source Agent Harnesses Ranked for Local LLMs
A guide ranks 11 open-source agent harnesses based on local inference documentation, licenses, and safety controls.
From MarkTechPost
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AI1 min read
A guide ranks 11 open-source agent harnesses based on local inference documentation, licenses, and safety controls.
From MarkTechPost
AI1 min read
Alibaba's Qwen3.8-Omni-Flash understands audio and video, plans tasks, calls tools, and reports about 45.7% fewer tokens on OmniVideoBench. The post Alibaba Qwen Releases Qwen3.8-Omni-Flash: A 1M-Context Omni-Modal Model Built Around Age...
From MarkTechPost
Photo: Yan Krukau
AI1 min read
The UN and Google built a new system to help AI access global statistics. This replaces the old UNData portal with better search tools.
From TechCrunch AI
Agents2 min read
AWS posts a guide on securing Model Context Protocol tools with layered checks. The article details how to configure identity verification and access control gates.
From AWS machine learning blog
AI1 min read
Two rival AI agents now place phone calls to businesses. Instinct launched its Concierge service while Meta added similar capabilities.
From TechCrunch AI
AI1 min read
Google released early access to its Model Context Protocol server for smart homes. Users can now let AI agents manage their connected devices securely.
From TechCrunch AI
AI1 min read
Nums AI launched Causilo, a tabular foundation model that ranks first among single models on TabArena for both classification and regression. It features an in-context learning architecture with Apache-2.0 code but requires a separate license for production use.
From MarkTechPost
LLMs1 min read
Researchers released NepLEGiT, a ~30 million parameter SLM pre-trained on 4 million tokens of Nepali legal text. The model achieves a perplexity of 1.8 and 82.9% next-token accuracy.
From arXiv cs.CL
LLMs1 min read
Researchers propose NarraLite, a framework for multimodal generative recommendation that compresses visual contexts and uses latent reasoning tokens. The system improves narrative coherence in short-form drama continuation while reducing redundant computation.
From arXiv cs.CL
LLMs1 min read
A new study finds few-shot prompting effects vary by task and are driven by demonstration content rather than prompt length. Replacing demonstrations with random text isolates the impact of representation shifts caused by content.
From arXiv cs.CL
LLMs1 min read
Researchers released NepKANUN, a fine-tuned LLM integrated with RAG to assist with Nepali legal texts. The system achieved F1 scores of 0.82, 0.77, and 0.71 on simple, moderate, and complex tasks respectively.
From arXiv cs.CL
LLMs1 min read
Tool: Gemini Live audio Google released Gemini 3.8 Live and 3.8 Live Extended Thinking today - two new speech-to-speech models that are a similar shape to OpenAI's GPT-Live family. I pointed GPT-6 Astra Extra High at the documentation an...
From Simon Willison on LLMs
Agents1 min read
Prompt caching in Amazon Bedrock can cut input token costs by up to 90% when you repeatedly send the same context to foundation models. This post walks through six practical prompt caching scenarios using the Converse API: message conten...
From AWS machine learning blog
Models1 min read
Text "AI & Economy Atlas v1.0 2026" with the Google G and a spinning globe illustration
From Google AI blog
LLMs1 min read
arXiv:2609.13534v1 Announce Type: new Abstract: We identify \textbf{Harmfulness Propagation Dynamics (HPD)}: for harmful prompts, the projection of the last-token hidden state onto a learned harm direction rises monotonically with transf...
From arXiv cs.CL
Research1 min read
arXiv:2609.13535v1 Announce Type: new Abstract: The EU AI Act introduces mandatory requirements for high-risk AI systems with the explicit goal of ensuring the development and operation of trustworthy AI. At the same time, AI risk manage...
From arXiv cs.AI
LLMs1 min read
arXiv:2609.13481v1 Announce Type: new Abstract: Large language models have made abstractive summarization remarkably fluent, but generated summaries can hallucinate facts, posing serious risks in biomedical and clinical domains. We addre...
From arXiv cs.CL
LLMs1 min read
arXiv:2609.13158v1 Announce Type: new Abstract: Large Vision--Language Models (LVLMs) are increasingly expected to perform visual question answering (VQA) over planar media. However, existing planar VQA benchmarks typically emphasize iso...
From arXiv cs.CL
LLMs1 min read
arXiv:2609.13154v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have made prompts increasingly large and complex. Techniques such as chain-of-thought reasoning (Wei et al., 2022) and in-context learning (B...
From arXiv cs.CL
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