In late 2025, the security community stopped treating indirect prompt injection as a theoretical risk. It had spent two years as a tidy lab demonstration; then production systems started getting hit. The OWASP Top 10 for LLM applications now ranks prompt injection as the number-one risk, NIST has ca...
OpenAI engineers used large-scale core dump analysis to debug rare infrastructure crashes, uncovering both a hardware fault and a long-standing software bug.
OpenClaw Releases iOS and Android Companion Node Apps That Connect a Phone to a Self-Hosted AI Agent Gateway
OpenClaw's iOS and Android apps are companion nodes, not standalone chatbots. Each phone pairs to a self-hosted Gateway over WebSocket. This adds device hardware — camera, location, voice, and Canvas — to a local-first AI agent. Here is the architecture, the capabilities, and the trade-offs for buil...
PyGraphistry Implementation Workflow for Interactive Graph Intelligence Pipelines in Security Analytics and Risk Investigation
We build a Colab-ready PyGraphistry workflow for interactive graph analytics on enterprise access data. We generate a synthetic dataset of users, devices, IPs, services, roles, and geos, then convert it into nodes and edges. We enrich the graph with risk scores, centrality metrics, community detecti...
Gemini’s personalized AI image generation is now free for US users
Google is expanding Gemini’s personalized AI image generation to eligible free users in the U.S., allowing the chatbot to create images based on your interests and data from connected Google apps.
NVIDIA BioNeMo Agent Toolkit Turns Biomolecular Models Into Callable Skills for AI Agents in Drug Discovery
NVIDIA's open-source BioNeMo Agent Toolkit turns biomolecular models like OpenFold3, DiffDock, and GenMol into documented, callable skills for AI agents. Each skill describes a model's purpose, inputs, artifacts, and failure modes, so an agent can select, run, and interpret it. In NVIDIA's benchmark...
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Imagine coming in to work to learn that a new underling will report to you. The worker is not a person but an AI tool—one that your company nonetheless calls Alex...
Harper Carroll came to AI education through a CS background at Stanford, machine learning engineering at Meta, and a brief stint at a small GPU compute startup in late 2023, where she noticed that almost no one understood how to fine-tune open source models. She started writing and teaching to help ...
Enterprise investment in AI is booming. Gartner is calling 2026 an “inflection year” for organizations to align their AI projects with strategic business objectives. As the pressure to prove ROI mounts, executives and technology leaders are looking to agentic AI to drive the measurable financial out...
The following article originally appeared on Angie Jones’s LinkedIn page and is being republished here with the author’s permission. I’m fascinated by the concept of agent memory. LLMs are stateless by design, meaning they have no memory or awareness of past interactions. Each prompt you send to an ...
Meet EverOS: An Open Source Markdown-First Agent Memory Runtime With Hybrid BM25 + Vector Retrieval and Self-Evolving Skills
EverMind has open-sourced EverOS, a local-first memory runtime that stores AI agent memory as plain Markdown indexed by SQLite and LanceDB. It combines hybrid BM25 + vector retrieval, multimodal ingestion, and self-evolving Skills under an Apache 2.0 license. Here's what it is, how the architecture ...
In today’s AI-driven world, no-code tools are transforming how people create and deploy intelligent applications. They empower anyone—regardless of coding expertise—to build solutions quickly and efficiently. From developing enterprise-grade RAG systems to designing multi-agent workflows or fine-tun...
Building a Stable Fable 5 Traces Workflow in Colab: Parsing Tool Calls, Auditing Data, and Training Baselines
In this tutorial, we build a stable workflow around the Fable 5 Traces dataset from Hugging Face. We avoid fragile dependencies and manually parse the merged JSONL file to keep Colab reliable. We inspect repository files, normalize tool calls, audit structure, redact secrets, and visualize key distr...
Liquid AI Ships LFM2.5-230M with llama.cpp, MLX, vLLM, SGLang, and ONNX Support for On-Device Inference
Liquid AI released LFM2.5-230M, its smallest model yet. The 230M-parameter, open-weight model runs on-device at 213 tok/s on a Galaxy S25 Ultra and 42 on a Raspberry Pi 5. Built on the LFM2 architecture, it targets tool use and data extraction, beating larger models like Qwen3.5-0.8B and Gemma 3 1B ...