JuicyTalkNVIDIA SkillSpector Guide: Scanning AI Skills for Security Risks with Static Analysis and SARIF Reports
print(“Batch scanning the whole corpus (static-only)…\n”) summary_rows = [] all_findings = [] for skill in SKILLS: res = scan(skill, use_llm=False, output_format=”json”) fnds = findings_of(res) summary_rows.append({ “skill”: skill.name, “risk_score”: res.get(“risk_score”), “severity”:…
Vercel Releases Eve: An Open-Source AI Agent Framework Where Each Agent is a Directory of Files Mapped to Capabilities
Vercel has released eve, an open-source framework for building, running, and scaling agents. The project is published as the npm package eve, licensed under Apache-2.0. Building an agent should mean…
MiniMax Sparse Attention (MSA): a Two-Branch Block-Sparse Attention Trained on a 109B-Parameter MoE With a 3T-Token Budget
MiniMax released MSA (MiniMax Sparse Attention), a sparse attention method built directly on Grouped Query Attention (GQA). It targets one bottleneck: the quadratic cost of softmax attention at long context.…
OpenAI’s Deployment Simulation Extends Pre-Deployment Risk Assessment to Agentic Coding Through Simulated Tool Calls
OpenAI published a new pre-deployment safety method called Deployment Simulation. The idea is direct. Before a model ships, simulate its deployment first. Replay past conversations…
How to Build Memory-Efficient Transformers with xFormers Using Packed Sequences, GQA, ALiBi, SwiGLU, and Causal Attention
print(“\n” + “=”*70 + “\n4. Variable-length packed batch — no padding waste\n” + “=”*70) seqlens = [37, 120, 8, 200] total = sum(seqlens) H, K = 8, 64 q =…
Meet Qwen-RobotSuite: Three Embodied AI Models for VLA Manipulation, Video World Modeling, and Navigation
The Qwen team has released three embodied AI models, grouped as Qwen-Robot-Suite. The three are Qwen-RobotManip, Qwen-RobotWorld, and Qwen-RobotNav. Each is built on a Qwen vision-language backbone and targets a…
Google Cloud Introduces Open Knowledge Format (OKF): A Vendor-Neutral Markdown Spec for Giving AI Agents Curated Context
Foundation models keep getting stronger, yet they still stall on the same thing: context. A model can write code or analyze a dataset, but only…
Hermes Agent Adds Asynchronous Subagents, So Delegated Work No Longer Blocks the Parent Chat
Nous Research has shipped a change to Hermes Agent. Its delegate tool can now run subagents asynchronously. Per the announcement, delegated work no longer blocks the parent chat. Hermes Agent…
Meet Atoms: A Vibe Coding Tool That Uses AI Agents to Build, Deploy, and Market Your App (No Code)
The concept of vibe coding is interesting; you don’t need to be a developer or software engineer to build your own applications. You can describe your idea to an AI…
How to Build a Parsing Pipeline with Docling Parse for Layout-Aware Document Intelligence
def create_demo_image(path): img = Image.new(“RGB”, (320, 180), “white”) draw = ImageDraw.Draw(img) draw.rectangle([20, 20, 300, 160], outline=”black”, width=3) draw.ellipse([55, 45, 145, 135], outline=”black”, width=4) draw.line([180, 140, 285, 45], fill=”black”, width=4) draw.text((45,…