What new AI models and tools can do, what they cost, how they compare, and how to run them yourself.
NVIDIA's open-weight Nemotron 3.5 Super VL uses Mamba-2, MoE and attention with 120B total, 12B active parameters and 1M context. Here is where it fits.
Enable developer mode on an LG or Android TV, find its IP, and point Hermes agent at a local Qwen model in Ollama to manage settings with an undo list.
Learn how two loops, escalation memory and trace-based fixes in LangSmith Engine, help a production agent learn from mistakes while humans stay in control.
Hands-on results for NVIDIA's open Nemotron 3.5 Super VL (120B, 12B active): bug fixing, vision, translation, circuits, and benchmarks.
Mercury Decide returns an answer and probability in about 0.16 seconds, now with images. How it works, its independent evals, and how to pair it with Mercury 3.
Dory1.0-4B is NVIDIA's looped 4B language model that reuses a shared layer block to scale compute per token. Architecture, loop counts, and benchmarks.
Microsoft Agent 365 and Project Perception give agents their own identity, time-bound permissions and risk-based access. Here is how the pieces fit.
Compare cloud AI API pricing with self-hosting a local LLM. See GPU rental rates, hidden staffing costs, and the monthly token volume where self-hosting wins.
Ornith-1.5-122B tested on a Docker bug fix, vision, screenshot reasoning, creative HTML and 80-language translation. Here is where it held up and failed.
Should you build internal tools with AI or keep buying SaaS? See which categories to build now, which to keep buying, and what the data says.
Compare per-agent helpdesk SaaS pricing from Zendesk and Freshdesk with building an internal ticketing tool on Cloudflare Workers and D1 for about $5 a month.
Learn how to build a 24/7 AI software factory with GPT-6 Astra: the seven infrastructure stations, model routing, verification, and real build costs.
GPT-6 Astra generates finished UIs from one prompt and operates software by reading the screen. See how it works, benchmark scores, pricing, and limits.
Learn how to run local AI models with Ollama or LM Studio on a laptop, GPU, or phone, plus local image and music generation and API cost break-even.
When does building a custom Rust query engine with DataFusion or DuckDB beat SaaS analytics? Compare cost thresholds, team size, and real case studies.
Compare Ling-3.0-flash-VL with Gemini for internal vision tools: benchmark scores, per-seat vs inference cost, data residency, and governance risks.
How the EU AI Act, state right-to-compute laws like Montana's SB 212, and Meta's Llama license shape open source AI rules, and what builders should check.
AI agents communicate through protocols like MCP and A2A, and sometimes invent their own channels. Learn how it works, the risks, and how to govern it.
Learn how to run CUDA apps on AMD GPUs with ZLUDA on Windows: setup steps, supported GPUs, legal risk under NVIDIA's EULA, and what still breaks.
Compare Rust and Python for internal tools built with AI coding agents: prototype in Python, harden in Rust, with benchmarks, savings and risks.
Shadow AI adds $670K to the average breach and 78% of AI users bring their own tools. Learn how to govern it with the NIST AI RMF instead of a ban.
Shadow AI can trigger AI-washing fraud charges, EU AI Act fines, and scraping lawsuits. See who holds the legal liability inside a company and how to govern it.
Learn how to secure shadow AI agents built by employees: inventory them, limit access, add human checkpoints, and defend against prompt injection and EchoLeak-style attacks.
Compare AI API pricing per task with per-seat SaaS subscriptions for internal tools, with code review cost math, break-even points, and SaaS waste data.