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Meta AI Open-Sourced Perception Encoder Audiovisual (PE-AV): The Audiovisual Encoder Powering SAM Audio And Large Scale Multimodal Retrieval

Artificial Intelligence, Audio Language Model, Editors Pick, Language Model, New Releases, Open Source, Staff, Technology, Uncategorized

Meta researchers have introduced Perception Encoder Audiovisual, PEAV, as a new family of encoders for joint audio and video understanding. The model learns aligned audio, video, and text representations in a single embedding space using large scale contrastive training on about 100M audio video pairs with text captions. From Perception Encoder to PEAV Perception Encoder, […]

Meta AI Open-Sourced Perception Encoder Audiovisual (PE-AV): The Audiovisual Encoder Powering SAM Audio And Large Scale Multimodal Retrieval Read More »

Google Introduces A2UI (Agent-to-User Interface): An Open Sourc Protocol for Agent Driven Interfaces

agentic ai, AI Agents, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Open Source, Tech News, Technology

Google has open sourced A2UI, an Agent to User Interface specification and set of libraries that lets agents describe rich native interfaces in a declarative JSON format while client applications render them with their own components. The project targets a clear problem, how to let remote agents present secure, interactive interfaces across trust boundaries without

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Anthropic AI Releases Bloom: An Open-Source Agentic Framework for Automated Behavioral Evaluations of Frontier AI Models

agentic ai, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Open Source, Staff, Tech News, Technology

Anthropic has released Bloom, an open source agentic framework that automates behavioral evaluations for frontier AI models. The system takes a researcher specified behavior and builds targeted evaluations that measure how often and how strongly that behavior appears in realistic scenarios. Why Bloom? Behavioral evaluations for safety and alignment are expensive to design and maintain.

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NVIDIA AI Releases Nemotron 3: A Hybrid Mamba Transformer MoE Stack for Long Context Agentic AI

agentic ai, AI Agents, AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Open Source, Staff, Tech News, Technology

NVIDIA has released the Nemotron 3 family of open models as part of a full stack for agentic AI, including model weights, datasets and reinforcement learning tools. The family has three sizes, Nano, Super and Ultra, and targets multi agent systems that need long context reasoning with tight control over inference cost. Nano has about

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LongCut omvandlar långa YouTube-videor till kortare höjdpunktsklipp

AI verktyg, Artificial Intelligence, Open Source, Video

LongCut är ett smart AI-verktyg som löser ett av internets största problem nämligen alldeles för långa videor. Istället för att sitta igenom en timmes tutorial eller föreläsning får du ut de viktigaste delarna på bara några minuter. LongCut passar dig som studerar online, konsumerar mycket YouTube-innehåll eller helt enkelt vill lära dig snabbare. Istället för

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OpenAI has Released the ‘circuit-sparsity’: A Set of Open Tools for Connecting Weight Sparse Models and Dense Baselines through Activation Bridges

AI Infrastructure, AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Machine Learning, New Releases, Open Source, Staff, Tech News, Technology

OpenAI team has released their openai/circuit-sparsity model on Hugging Face and the openai/circuit_sparsity toolkit on GitHub. The release packages the models and circuits from the paper ‘Weight-sparse transformers have interpretable circuits‘. https://arxiv.org/pdf/2511.13653 What is a weight sparse transformer? The models are GPT-2 style decoder only transformers trained on Python code. Sparsity is not added after

OpenAI has Released the ‘circuit-sparsity’: A Set of Open Tools for Connecting Weight Sparse Models and Dense Baselines through Activation Bridges Read More »

OpenAI built an AI coding agent and uses it to improve the agent itself

agentic ai, ai, AI Agents, AI assistants, AI coding, AI development tools, AI programming, AI work, anthropic, Artificial Intelligence, Biz & IT, chatbots, claude, code agents, Codex, Dario Amodei, Generative AI, GitHub Copilot, Google, GPT-5, Large Language Models, Machine Learning, Mistral, Open Source, OpenAI, Programming, Sam Altman, Simon Willison, software development, vibe coding

With the popularity of AI coding tools rising among some software developers, their adoption has begun to touch every aspect of the process, including human developers using the tools to improve existing AI coding tools. We’re not talking about runaway self-improvement here; just people using tools to improve the tools themselves. In interviews with Ars

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Zhipu AI Releases GLM-4.6V: A 128K Context Vision Language Model with Native Tool Calling

Artificial Intelligence, Computer vision, Editors Pick, Language Model, New Releases, Open Source, Staff, Technology, Vision Language Model

Zhipu AI has open sourced the GLM-4.6V series as a pair of vision language models that treat images, video and tools as first class inputs for agents, not as afterthoughts bolted on top of text. Model lineup and context length The series has 2 models. GLM-4.6V is a 106B parameter foundation model for cloud and

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Cisco Released Cisco Time Series Model: Their First Open-Weights Foundation Model based on Decoder-only Transformer Architecture

Artificial Intelligence, Data Science, Editors Pick, Machine Learning, New Releases, Open Source, Staff, Technology

Cisco and Splunk have introduced the Cisco Time Series Model, a univariate zero shot time series foundation model designed for observability and security metrics. It is released as an open weight checkpoint on Hugging Face under an Apache 2.0 license, and it targets forecasting workloads without task specific fine tuning. The model extends TimesFM 2.0

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Apple Researchers Release CLaRa: A Continuous Latent Reasoning Framework for Compression‑Native RAG with 16x–128x Semantic Document Compression

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Open Source, Staff, Tech News, Technology

How do you keep RAG systems accurate and efficient when every query tries to stuff thousands of tokens into the context window and the retriever and generator are still optimized as 2 separate, disconnected systems? A team of researchers from Apple and University of Edinburgh released CLaRa, Continuous Latent Reasoning, (CLaRa-7B-Base, CLaRa-7B-Instruct and CLaRa-7B-E2E) a

Apple Researchers Release CLaRa: A Continuous Latent Reasoning Framework for Compression‑Native RAG with 16x–128x Semantic Document Compression Read More »