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News
Perplexity Releases Hybrid Compute on Mac: Cloud Agents Orchestrate Down to a Local Model, Gated On Device
1+ week, 4+ day ago (331+ words) The direction of orchestration is the design decision. Computer starts every task in the cloud, where frontier models handle web search, planning, and long-horizon reasoning. When a step touches private files or sensitive data, Computer hands that step down to…...
IBM Releases Granite 4.2: Bringing Native Reasoning and Agentic RL to Open Enterprise Models
2+ week, 4+ day ago (303+ words) Yes, All three Granite 4.2 language models ship under Apache 2.0, so download, fine-tuning, and commercial production use carry no licensing gate. Granite 4.2 is a decoder-only dense transformer, not a hybrid or MoE design. Core components are Grouped Query Attention with 8 KV…...
The Video Production Stack Now Fits on One Desk: LTX-2.5 Launches as NVIDIA-Accelerated Open Weights World Model
1+ mon, 1+ day ago (773+ words) MarkTechPost Video production is shifting as social clips, ad creative and film pre-visualization move from cloud to local GPUs. LTX today released LTX-2.5, an open weights world model for video generation, real-time applications, and physical AI, built for exactly that…...
Building a Policy-Governed Multi-Agent Financial Research Workflow with Omnigent
1+ mon, 1+ week ago (668+ words) MarkTechPost In this tutorial, we build and execute a multi-agent workflow with Omnigent using a reliable, isolated Python environment created with uv. We configure a financial research lead agent that retrieves a live USD-to-EUR exchange rate from an external API,…...
Guide to Loop Engineering: How 'autoresearch' and 'Bilevel Autoresearch' Turn AI Agents Into Autonomous Machine Learning ML Research Loops
2+ mon, 14+ hour ago (565+ words) Most people still use AI like a 2015 search box. You type, you read, you type again. A newer pattern replaces that manual back-and-forth with a loop. This guide explains loop engineering using two verified artifacts. The sources are Andrej Karpathy’s…...
Liquid AI Released LFM2.5-350M: A Compact 350M Parameter Model Trained on 28T Tokens with Scaled Reinforcement Learning
5+ mon, 1+ week ago (334+ words) In the current landscape of generative AI, the ‘scaling laws’ have generally dictated that more parameters equal more intelligence. However, Liquid AI is challenging this convention with the release of LFM2.5-350M. This model is actually a technical case study in intelligence…...
Meet A-Evolve: The PyTorch Moment For Agentic AI Systems Replacing Manual Tuning With Automated State Mutation And Self-Correction
5+ mon, 2+ week ago (481+ words) A team of researchers associated with Amazon has released A-Evolve, a universal infrastructure designed to automate the development of autonomous AI agents. The framework aims to replace the ‘manual harness engineering’ that currently defines agent development with a systematic, automated…...
NVIDIA AI Unveils ProRL Agent: A Decoupled Rollout-as-a-Service Infrastructure for Reinforcement Learning of Multi-Turn LLM Agents at Scale
5+ mon, 2+ week ago (362+ words) Multi-turn agent tasks involve interacting with external environments, such as code repositories or operating systems, via iterative tool use. Many existing frameworks—including SkyRL, VeRL-Tool, Agent Lightning, rLLM, and GEM—embed rollout control directly within the training process. This tight…...