Payments rely on a simple model: a person decides to buy something, and a bank or card network processes the transaction. That model is starting to change as Visa tests how AI agents can initiate payments. New work in the banking sector suggests that, in some cases, software agents may soon take on that role. […]
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The NVIDIA Agent Toolkit is Jensen Huang’s answer to the question enterprises keep asking: how do we put AI agents to work without losing control of our data and our liability? Announced at GTC 2026 in San Jose on March 16, the NVIDIA Agent Toolkit is an open-source software stack designed to help enterprises and […]
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AI is Now Writing 3% of All Public Code on GitHub. Here’s What It’s Building.
I Ran the Same Multi-Agent Prompts on Claude Code, Codex, and Cursor. Here’s What Actually Happened.A hands-on comparison of three multi-agent coding systems across research, data extraction, and bug-fix coordination tasksI’ve been intrigued by the “mu…
Fine-Tuning for AlignmentContinue reading on Towards AI »
Auto mode isn’t optional anymore — it’s what really help the customer harnest the value from your agent.The Problem Nobody Wants to AdmitYou built a great AI agent. Multiple models available — Opus for complex reasoning, Sonnet for general use, Haiku f…
One equation changed everything in 2017. Here’s the complete taxonomy of what came after — and what’s killing it right now.Continue reading on Towards AI »
Coding agents are getting smarter, but they still waste most of their tokens reading irrelevant code. Here is how AST-based semantic search, LSP, and a lightweight CLI can change that. We built an embedded lightweight semantic code search tool for codi…
Remember when it was fun to play around with LLMs?
Accuracy tells you a model got the right answer. It doesn’t tell you whether to trust it, deploy it, or stake your product on it.Source: Image Generated using Nano Banana1. The number that broke AI benchmarkingIn 2023, a major LLM scored over 85% on a …