I Replaced Vector DBs with Google’s Memory Agent Pattern for my notes in Obsidian
Persistent AI memory without embeddings, Pinecone, or a PhD in similarity search.
The post I Replaced Vector DBs with Google’s Memory Agent Pattern for my notes in Obsidian appeared first on Towards Data Science.
The Cathedral, the Bazaar, and the Winchester Mystery House
The following article originally appeared on Drew Breunig’s blog and is being republished here with the author’s permission. In 1998, Eric S. Raymond published the founding text of open source software development, The Cathedral and the Bazaar. In it, he detailed two methods of building software: Th...
TII Releases Falcon Perception: A 0.6B-Parameter Early-Fusion Transformer for Open-Vocabulary Grounding and Segmentation from Natural Language Prompts
In the current landscape of computer vision, the standard operating procedure involves a modular ‘Lego-brick’ approach: a pre-trained vision encoder for feature extraction paired with a separate decoder for task prediction. While effective, this architectural separation complicates scaling and bottl...
An Online Machine Learning Multi-resolution Optimization Framework for Energy System Design Limit of Performance Analysis
arXiv:2604.01308v1 Announce Type: new
Abstract: Designing reliable integrated energy systems for industrial processes requires optimization and verification models across multiple fidelities, from architecture-level sizing to high-fidelity dynamic operation. However, model mismatch across fidelitie...
AI Weekly Issue #478: The machines are hacking back — and so is everyone else
An AI agent went rogue at Meta and triggered a Sev 1. Anthropic shipped its own source code to npm by accident — then accidentally DMCA'd 8,100 GitHub repos trying to clean up. A Chinese state group weaponized Claude Code to run an espionage campaign with 90% autonomy. And a Nature Communications pa...
Arcee AI Releases Trinity Large Thinking: An Apache 2.0 Open Reasoning Model for Long-Horizon Agents and Tool Use
The landscape of open-source artificial intelligence has shifted from purely generative models toward systems capable of complex, multi-step reasoning. While proprietary ‘reasoning’ models have dominated the conversation, Arcee AI has released Trinity Large Thinking. This release is an open-weight r...
Smarter Live Streaming at Scale: Rolling Out VBR for All Netflix Live Events
By Renata Teixeira, Zhi Li, Reenal Mahajan, and Wei WeiOn January 26, 2026, we flipped an important switch for Live at Netflix: all Live events are now encoded using VBR (Variable Bitrate) instead of CBR (Constant Bitrate). It sounds like a small configuration change, but it required us to revisit s...
Defeating the ‘Token Tax’: How Google Gemma 4, NVIDIA, and OpenClaw are Revolutionizing Local Agentic AI: From RTX Desktops to DGX Spark
Run Google’s latest omni-capable open models faster on NVIDIA RTX AI PCs, from NVIDIA Jetson Orin Nano, GeForce RTX desktops to the new DGX Spark, to build personalized, always-on AI assistants like OpenClaw without paying a massive “token tax” for every action. The landscape of modern AI is shiftin...
💡TL;DR: Open models like GLM-5 and MiniMax M2.7 now match closed frontier models on core agent tasks — file operations, tool use, and instruction following — at a fraction of the cost and latency. Here's what our evals show and how to start using them
From RTX to Spark: NVIDIA Accelerates Gemma 4 for Local Agentic AI
Open models are driving a new wave of on-device AI, extending innovation beyond the cloud to everyday devices. As these models advance, their value increasingly depends on access to local, real-time context that can turn meaningful insights into action. Designed for this shift, Google’s latest addi...
“Just in Time” World Modeling Supports Human Planning and Reasoning
An overview of a state-of-the-art study, uncovering simulation-based reasoning, a "just-in-time" framework and how it helps improve predictions in the context of supporting human planning and reasoning.
This is the third article in a series on agentic engineering and AI-driven development. Read part one here, part two here, and look for the next article on April 15 on O’Reilly Radar. The toolkit pattern is a way of documenting your project’s configuration so that any AI can generate working inputs ...
OpenAI acquires TBPN to accelerate global conversations around AI and support independent media, expanding dialogue with builders, businesses, and the broader tech community.
Claude Code Leak: 16 Lessons on Building Production-Ready AI Systems
Over the past 24 hours, the developer community has been obsessed with one thing. A leak. The source code of Claude Code, one of the most advanced AI coding systems, surfaced online. Within hours, GitHub was flooded with forks, breakdowns, and deep dives. For developers, it felt like rare access. Wh...
IBM Releases Granite 4.0 3B Vision: A New Vision Language Model for Enterprise Grade Document Data Extraction
IBM has announced the release of Granite 4.0 3B Vision, a vision-language model (VLM) engineered specifically for enterprise-grade document data extraction. Departing from the monolithic approach of larger multimodal models, the 4.0 Vision release is architected as a specialized adapter designed to ...
Two-Stage Optimizer-Aware Online Data Selection for Large Language Models
arXiv:2604.00001v1 Announce Type: new
Abstract: Gradient-based data selection offers a principled framework for estimating sample utility in large language model (LLM) fine-tuning, but existing methods are mostly designed for offline settings. They are therefore less suited to online fine-tuning, w...
Task-Centric Personalized Federated Fine-Tuning of Language Models
arXiv:2604.00050v1 Announce Type: new
Abstract: Federated Learning (FL) has emerged as a promising technique for training language models on distributed and private datasets of diverse tasks. However, aggregating models trained on heterogeneous tasks often degrades the overall performance of indivi...