The Agentic Reckoning: Enterprise AI organizations have a runtime problem, not a model problem — and most are building the wrong solution

VentureBeat surveyed 132 enterprise AI leaders: the production failure point isn't the model — it's the runtime layer most teams are patching with retries instead of fixing.
InfoWorld

OpenAI rolls out AI-led push to fix open-source software flaws

Patch the Planet’ pairs automated analysis with expert review to uncover and remediate vulnerabilities in core infrastructure ...

Cloud Validation Expert Shields Healthcare Claims from Errors

Healthcare claims often fail due to small data errors. Mukesh Kumar Mishra has built cloud-based validation and anomaly ...
techtimes

Google agents-cli: One Command Adds AI Agent Lifecycle Skills to Claude Code and Codex

The offices of Google are pictured in London on February 28, 2026. JUSTIN TALLIS/AFP via Getty Images Google released agents-cli on April 21, 2026, and it has shipped 13 updates in the 71 days since — ...
GitHub

Probmetrics: Classification metrics and post-hoc calibration

[2] Structured Matrix Scaling for Multi-Class Calibration (see also: experiments) [3] A Variational Estimator for Lp Calibration Errors (see also all experiments) [4] CalArena: A Large-Scale Post-Hoc ...
VentureBeat

When Claude changed, everything changed: Managing AI blast radius in production

Our system did one thing, and it did it well: It turned natural-language questions into API calls. The users were analysts, account managers, and operations leads. They knew what data they needed, but ...
GitHub

CEO-Bench: Can Agents Play the Long Game?

CEO-Bench: Can Agents Play the Long Game? . Contribute to zlab-princeton/ceobench-src development by creating an account on GitHub.