Agentic reliability and evaluations : Enterprises that got burned by a bad eval are the most likely to remove humans from the loop, not the least

Across 108 enterprises, trust in automated agent evaluation rose sharply in July — and the failure rate it is supposed to predict did not move at all. The share of organizations that fully trust aut [...]

Salesforce Research: Across the C-suite, trust is the key to scaling agentic AI

Presented by SalesforceIn 2025, Salesforce conducted a series of C-suite research studies to capture if and how top decision-makers are building an agentic AI strategy. While the research shows positi [...]

The agent evaluation gap: Enterprise AI organizations have a reality-alignment problem, not a coverage problem — and most are shipping to production anyway

Across 157 enterprises, organizations are granting AI agents more autonomy while trusting the evaluations meant to gate that autonomy less. Half have already shipped an agent that passed their interna [...]

Testing autonomous agents (Or: how I learned to stop worrying and embrace chaos)

Look, we've spent the last 18 months building production AI systems, and we'll tell you what keeps us up at night — and it's not whether the model can answer questions. That's ta [...]

What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI

Check your research, MIT: 95% of AI projects aren’t failing — far from it.According to new data from G2, nearly 60% of companies already have AI agents in production, and fewer than 2% actually fa [...]

Apple Watch Solo Loop bands are on sale for up to 70 percent off

If you want to get Solo Loop bands for your Apple Watch in several colors, this may be your chance to grab a few at a discount. Woot is selling them for up to 70 percent lower than their actual price, [...]

Shadow mode, drift alerts and audit logs: Inside the modern audit loop

Traditional software governance often uses static compliance checklists, quarterly audits and after-the-fact reviews. But this method can't keep up with AI systems that change in real time. A mac [...]

MIT's new fine-tuning method lets LLMs learn new skills without losing old ones

When enterprises fine-tune LLMs for new tasks, they risk breaking everything the models already know. This forces companies to maintain separate models for every skill.Researchers at MIT, the Improbab [...]

From human clicks to machine intent: Preparing the web for agentic AI

For three decades, the web has been designed with one audience in mind: People. Pages are optimized for human eyes, clicks and intuition. But as AI-driven agents begin to browse on our behalf, the hum [...]