This week, the AI news treadmill seemed to be running faster than before. I’m struggling to keep up, and I know I’m not alone.
Grok 4.5 on Wednesday. GPT-5.6 on Thursday. Meta released its first paid model, and Anthropic extended Fable’s access on subscription plans. My honest reaction this week wasn’t excitement. It was fatigue.
I’ve spent 20 years covering product launches, iPhones and the show-floor madness of CES, IFA, and MWC. I know the difference between a real breakthrough cadence and a marketing treadmill, and what we’re on now is the treadmill. The announcement ceremony is becoming too much. Each release arrived as another frontier event, but the breakthrough they all shared was economic: similar work for fewer tokens (and fewer dollars).
The models were different, but price was the one argument every lab made. And when the whole frontier competes on price, the companies that spent the most to reach it have the most to lose.
When more alerts mean less visibility, something's broken.
SecOps teams are stuck in an alert-fatigue loop: more rules generate more alerts, more alerts overwhelm analysts, and overwhelmed analysts miss what actually matters. Join us live for a practical framework to fix your signal-to-noise problem.
Rethink how you model detection instead of just adding more rules
See exactly where AI makes a real operational difference (and where it doesn't)
Get control of the data pipeline feeding your alerts in the first place.
Gusto Cofounder: An AI agent that runs payroll, HR, and benefits without waiting to be asked
Almost every startup has a co-founder or working partner whose unspoken instincts help drive the business forward. Eddie Kim, co-founder and CTO of Gusto, tells The New Stack that's exactly why the company's latest release is called Gusto Cofounder. Tune in to learn about this agentic AI platform that helps small businesses handle payroll, HR, and back-office tasks through proactive automation and consent controls.
OpenSearch vs. the black box: one open-source stack for traditional observability and AI agent evaluation
Logs, metrics, and traces work great — until an AI agent starts hallucinating, overconsuming, or making tool calls you didn’t anticipate. Learn how to monitor traditional services and evaluate AI agent behavior in production using one open-source stack built on OpenSearch and OpenTelemetry.
Still managing separate access tools for humans, pipelines, and AI agents?
Most access strategies weren’t designed for non-human identities. Traditional PAM tracks admin sessions, and VPNs grant broad network entry. In this session, we will work through what a unified access architecture actually covers today: human developers, contractors, pipelines, and AI agents, under one consistent policy model, without adding IT overhead or slowing down engineering teams.
WeAreDevelopers brings the world’s largest developer event to North America, fostering global growth and connection in the tech sector. Join The New Stack in San Jose for all the action as we host a special welcome reception, cover the biggest show moments, and film interviews on the show floor at our booth. We look forward to seeing you there! Use this exclusive code to save 10% on your registration: thenewstack_community
Learning to code shouldn't feel like reading a manual
roadmap.sh just launched Lesson Packs: bite-sized, visual lessons paired with real hands-on projects and an AI tutor that's there when you get stuck. No fluff, no filler.
Pick up JavaScript from scratch with hands-on projects.
Finally make sense of the CSS cascade.
Learn how the internet actually works under the hood.
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