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Why context engineering is AI’s next hiring challenge
By Tobie Morgan Hitchcock Published
As AI moves into production, hiring shifts from prompt writers to engineers who build the surrounding context.

We're building the most critical infrastructure of our lifetimes. We're leaving the front door unlocked
By Kumar Sokka Published
The industry is building AI capacity at unprecedented speed, and quietly treating the physical protection of these facilities as the most flexible line in the budget.

"Tools don't have independent values — their values are human values": Quote of the day by Stanford professor Fei-Fei Li
By Keumars Afifi-Sabet Published
Developing AI as a tool means recognizing that its values are reflected in the values of those who build and deploy it

OpenAI vs Apple text messages reveal even Apple isn’t protected from brain drain
By Lance Ulanoff Published
In the ongoing lawsuit between Apple and OpenAI, the ChatGPT parent just released messages and emails that paint a picture of something far more mundane than corporate espionage.

The vSphere 9 decision: migrate, modernize or maximize with purpose
By Eric Helmer Published
Don’t let vendor deadlines dictate infrastructure roadmaps.

AI monocultures: the code review problem nobody's talking about
By Itamar Friedman Published
Why independent AI review and governance are essential for secure, reliable software development.

Telemetry in AI and why it may be a ticking bomb for CTOs and CFOs
By Onur Alp Soner Published
Exploding telemetry volumes are creating hidden governance, financial, and operational risks across AI systems.

How governance gaps are creating a shadow AI risk for finance leaders
By Brandon Till Published
The risk, if left unaddressed introduces a significant shadow AI risk with consequences that far outweigh productivity gains
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