
What happened
Nvidia CEO Jensen Huang rejected the notion that the industry must choose between safety and speed, saying "you could definitely have both at the same time." Nvidia's El Hallak said advances in AI models make "harness engineering" — the instructions and code governing how an AI agent operates — more critical.
Why it matters
The company's stance, voiced by Huang and El Hallak, points to taming AI agents through engineering rather than slowing model development. That framing may shape how businesses building on agentic AI approach safety.
What to watch
El Hallak couldn't comment on whether government regulation of the agentic layer is needed, but pointed to industry initiatives like the Open Secure AI Alliance as a venue for figuring out "at which part of the layer do we need to add more strengths and more guardrails and more safeguards."
WHO IT HITSThis lands on enterprise teams deploying agentic AI, who may face design choices around guardrails rather than a push to slow down, based on Nvidia's stated position.
Summaries like this, every morning.
Nvidia CEO Jensen Huang has emerged as a prominent voice skeptical of calls by some AI leaders to slow model development over safety concerns. AI agents are central to that debate because they can take actions on their own, though regulation of agentic AI specifically gets less attention than broad oversight of the models.
Within Nvidia, VP of agentic AI El Hallak frames the challenge as engineering. He said advances in AI models make "harness engineering" — the layer of instructions and code governing how an AI agent operates in practice — more critical, and warned that a capable agent needs to be built so it can be controlled, not put into a pen it can escape.
El Hallak couldn't comment on whether government regulation of the agentic layer is needed, but pointed to industry initiatives like the Open Secure AI Alliance as a venue for locating where more strengths, guardrails, and safeguards should go. The outcome is likely to hinge on whether such industry efforts can set practical guardrails while, in Huang's words, the world doesn't slow down.
Pick your industry and the AI tools you use, and get news related to your work every day.
Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.
Atomicwork launched an AI Coworker Marketplace with certified AI coworkers for cloud infrastructure, access ma…
FrigadeHQ's Hob installs on Windows, Mac and Linux, scans the PC, and offers an AI model suited to its memory…

Amazon is adding a texting feature to Alexa for Shopping, letting US customers describe or photograph items an…

Carnot AI Inc, which develops and provides the enterprise AI platform Jinba, was accepted into NVIDIA Inceptio…

In a guest commentary, R K Anand of Tensordyne argued challengers should target inference—not training—citing…

Thinking Machines released Inkling 2 Small, a 594B-total / 17B-active multimodal MoE, available now on Tinker
