Letting an AI touch your accounting: where to draw the line
Connecting an AI assistant to business management tools is now common, but deciding what it may do there is not. JDN draws four rules from a connector actually in use.
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AI Changes the Data Interface, Not the Query Engine
An InfoQ article describes a disaster-recovery analytics workflow in which an AI agent writes constrained SQL or Python, DuckDB computes reproducible results from Parquet files, and the agent interprets them. It also offers four signals for deciding when an embedded engine is enough and when a managed lakehouse is warranted.
ZD Tech: OpenAI's GPT-6 cracks the Enigma code in 2 days, a breakthrough for AI agents
OpenAI's GPT-6 Astra model decrypted a historical message from the Enigma machine on its own, in just two days. ZDNet France sees it as a sign of autonomous agents able to tackle complex business problems.
Muse Code: we tested Meta's coding agent
JDN tested Muse Code, Meta's $50-a-month coding agent, and found it matches Claude Code at hunting bugs. Its visual output still looks dated, however, and the reviewers conclude the tool falls short of its ambitions.
AI agents: exchanges already exposed to quantum risk
AI agents already exchange data that must stay secret beyond 2030, over channels whose cryptography was inherited rather than chosen. JDN explains why that quantum exposure exists today and suggests five steps.
Vercel Labs Open-Sources fx: A Zig Coding Agent Designed to Be Embedded
Vercel Labs has released fx, an experimental open-source coding agent written in Zig that can run as a CLI, a script component or an embedded library, including a WebAssembly build. Early feedback questioned its claim to be model-agnostic and flagged a name clash with an existing tool; Vercel says the pre-1.0 project is changing fast.