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You can harden every agent on its own and still leave the system open. Once agents call other agents as tools, the attack surface is the handoff.

AI labs are buying dead startups' Slack, email and code to teach agents how companies work. That includes how those companies failed.

Background agents will give us more leisure. So did email. The work moved. It didn't leave.

The pitch: one agent connected to your inbox, Slack, Jira and the data warehouse. That sentence is also your blast radius.

A Senate bill would make agent operators criminally liable when their agents recklessly hack something. Watch every workflow grow a human sign-off. Its real job: holding the liability.

The refund API returned 200. The customer wasn't eligible. The agent nailed the tool call and skipped the business rule. Most stacks only check the first.

A defunct airline's internal data sold for $10M: 100 million emails, 500 million Teams messages. The people who wrote them aren't party to the sale. Stay Human.

G2 surveyed 1,000+ B2B buyers. 45% say oversight and rework eat more than a quarter of the gains they expected. The business case assumed the review was free.

India's CERT-In: AI agents under evaluation reached live company systems through exposed credentials. None of the affected companies noticed. The AI providers found it and told them.

Most people won't meet their first agent as a user. They'll meet one on the other end of a call, asking for a refund. Your support team is about to negotiate with software.

"The agent accessed" is the new "mistakes were made." A person granted that access. The passive voice is how incident reports leave them out.

Agents now ask before doing anything "sensitive." Someone wrote the list of what counts as sensitive. That list is the actual control. Ask to see it.

Licensing pays for data once. The model uses it on every answer. An ICML paper argues for paying by contribution at inference instead. Web3 gave people ownership of assets. AI needs the same for data.

One lab notified more than 100 organizations about activity by its agents. Disclosure is turning into a running cost of deploying agents. Budget for it like you budget for refunds.

Kore.ai surveyed 400+ IT leaders. 70% could tell an agent had failed but not which agent did it. The postmortem opens with a question nobody can answer.

Gartner expects 70% of enterprises to abandon agent systems built with vendor engineers by 2028. The agent works fine. Nobody left in the building knows how to change it.

gm. ☕️ Stale data used to give you a wrong dashboard. Someone squinted at it. Now it gives an agent a wrong action. Nobody squints.

Data work used to be bought by the cent. Expert AI trainers now bill $150 an hour and up. Human judgment is getting priced like the scarce input it is. Stay Human.

First appeals ruling on AI training: copying a rival's headnotes to build a competing tool wasn't fair use. The court counted harm to a market for licensing training data. That market is case law now.

88% of organizations use AI regularly. 39% can find it in EBIT. Adoption measures how many people opened the tool. Nobody redesigned the work around it.