An IBM exec built an AI agent to prep for meetings — and said it saved hours every week
THE SO WHAT
A senior IBM exec hand-building “Digital Dave” to prep meetings is the pattern — leaders aren’t waiting for corporate rollouts, they’re scripting their own agents to claw back calendar time. If your leadership team isn’t dogfooding similar agents, you’re already behind on understanding where the real leverage and failure modes are in agentic workflows.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIInternal memo: Meta is pulling top engineers into its new Applied AI Engineering division, as part of a push to improve its models and "compete in the AI race" (Jyoti Mann/The Information)
Centralizing top talent into an Applied AI Engineering org means Meta is treating model quality as a single product line, not a feature sprinkled across apps. If you're competing with them for senior ML/infra talent, assume your pipeline just got thinner and your comp bands are stale.
Applied AIOpenAI Tells Investors It Has Computing Advantage Over Anthropic
When a lab tells investors its edge is "early push" on compute, the game is capex, power, and long-term offtake contracts—not clever prompts. If you're building on these stacks, vendor risk is now a function of their energy and silicon access as much as their research roadmap.
Applied AIAnthropic’s Mythos Model Heralds New Era for AI Releases
Staging Mythos as a safety-first rollout is a template—model launches are becoming regulatory and reputational events, not just product drops. Enterprises will be pushed to mirror this with internal gating, evals, and red-team rituals before any high-capability model touches production workflows.
Applied AIOpenAI: Hey, We Also Have a New Tool That Is So Scarily Powerful We Can’t Release It
When multiple labs talk about "too powerful to release" tools, the constraint is no longer capability—it’s control, liability, and optics. If you're an enterprise buyer, assume the frontier line is moving faster than your risk committee and start building internal policy that can flex with withheld and staggered releases.