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News & analisi per LLM locali, stack e hardware on-prem.

AI-Radar – Independent observatory covering AI models, LLMs, local AI, hardware, and trends

AI-Radar for on-prem LLMs & Home AI

The daily radar on models, frameworks, and hardware to run AI locally. LLMs, LangChain, Chroma, mini-PCs, and everything you need for a distributed "in-house" brain.

⚙️ Stack: Local LLMs · LangChain · Transformers · ChromaDB · MiniPCs · AI boxes
🛰️ Ask Observatory (Q&A + RAG) connected to the article archive.
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The Daily Signal

Is a new Dot-Com (AI) crash possible?

Is a new Dot-Com (AI) crash possible?

The Great Money Bonfire of 2026

✍️ Editorial 2026-02-14

⚡ Trending Now

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AI Applications in Business and Industry AI Infrastructure and Hardware AI Model Development and Releases Taiwan's Tech Industry Focus

Latest Analysis & Radar News

AI-generated articles from feeds, with space for human editorial layer above the raw content.

📁 LLM AI generated 🏆 ArXiv cs.LG

Quantum Revolution in LLM Models: CodeGEMM

CodeGEMM is a new approach to optimize performance of large models (LLMs) using quantization. This work presents a new GEMM kernel that replaces dequantization with precomputed inner products between centroids and activations stored in a lightweight codebook.

2025-12-23 📰 Source
📁 LLM AI generated 🏆 ArXiv cs.AI

Rethinking Multi-Agent Intelligence Through the Lens of Small-World Networks

I grandi modelli di linguaggio (LLM) hanno reso possibile l'utilizzo di sistemi multi-agenti (MAS) in cui molti agenti discutono, criticano e coordinano per risolvere compiti complessi. Tuttavia, la maggior parte degli LLM-based MAS adotta grafici pieni o reti sparse, con poca guida strutturale. Questo articolo esplora come le reti di piccolo mondo possano essere utilizzate per stabilizzare i sistemi multi-agenti.

2025-12-23 📰 Source
Verifica gli video generati dall'AI su Gemini
📁 Altro AI generated 🏆 Google AI Blog

Verify AI-generated videos in the Gemini app

Google is expanding its content transparency tools to help you identify AI-generated content more easily. You can now check if a video was created or edited with Google AI

2025-12-23 📰 Source
📁 LLM AI generated 🏆 ArXiv cs.AI

New explorations in neuron explanation

A new publication analyzes the faithfulness and stability of neuron explanations to ensure trustworthy interpretation. The proposed method offers a clear direction for future research in this critical field.

2025-12-23 📰 Source
ChatGPT: un po' di entusiasmo può essere un bene!
📁 LLM AI generated ✅ TechCrunch AI

ChatGPT: A Little Enthusiasm Can Be a Good Thing!

The latest version of ChatGPT's Llama model introduces a new feature that allows users to directly influence the enthusiasm level of their conversations. This innovation enables more personalized interactions with the platform.

2025-12-23 📰 Source
📁 LLM AI generated ℹ️ Tech Titans

I rischi nascosti degli LLM

Gli LLM stanno rivoluzionando l'industria tecnologica, ma anche con loro vengono associate nuove sfide di sicurezza. Un recente rapporto dell'OWASP elenca i rischi più critici da prioritare.

2025-12-23 📰 Source
La linea Apple HomePad messa a nudo da un leak
📁 Hardware AI generated

Apple HomePad line leaked

According to internal code obtained by Macworld, Apple is preparing to enter the smart home market with at least two new devices.

2025-12-14 📰 Source
Le migliori idee di regalo sotto i 10€ da Amazon
📁 Market AI generated

Gift Ideas under $10 from Amazon

Christmas is coming and we start thinking about affordable gift ideas. From Amazon, we found many suggestions for various subjects that won't break the bank.

2025-12-14 📰 Source
Agentic coding: la chiave per rendere l'intelligenza artificiale un alleato nel lavoro
📁 LLM AI generated

Why most enterprise AI coding pilots underperform (Hint: It's not the model)

Most enterprise AI coding pilots underperform (Hint: It's not the model). The introduction of agent-based code generation in the enterprise often proves to be unsuccessful due to a lack of context design. The key to success is engineering context, which means creating a stable and structured environment for these systems

2025-12-13 📰 Source
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AI-Radar is an independent observatory covering AI models, local LLMs, on-premise deployments, hardware, and emerging trends. We provide daily analysis and editorial coverage for developers, engineers, and organizations exploring local AI solutions.

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