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- Nvidia CEO Jensen Huang Explains Why He Disagrees with AI Warnings 👀
Nvidia CEO Jensen Huang Explains Why He Disagrees with AI Warnings 👀
Another OpenAI Safety Employee Resigns, Says the Company's 'Culture Is Broken' 😬
Gina Acosta
October 04, 2026
Sponsored by
Welcome to another edition of Horizon AI,
In today's issue, we look at a recent CBS News interview with Nvidia CEO Jensen Huang, where he discusses the rapid evolution of AI, his opposition to calls for slowing down its development, and his vision for the future of the industry.
Let’s jump right in!
Read Time: 4.5’ min
Here's what's new today in the Horizon AI
Chart of the week: New models from Anthropic and OpenAI are arriving faster
OpenAI Safety Employee Resigns, Saying the Company’s “Culture Is Broken”
AI Findings/Resources
AI tools to check out
Video of the week
TOGETHER WITH ATLASSIAN
State of Product reveals what AI still hasn’t solved
80% of product professionals say AI helps them ship faster, but customers aren’t seeing value any sooner. Atlassian’s State of Product 2027 explores the gains AI is delivering and the challenges that remain, from decision-making that hasn’t kept pace to gut instinct overriding customer evidence.
Chart of the week
New models from Anthropic and OpenAI are arriving faster
Between Anthropic and OpenAI, a new model used to come out every ~10 weeks; now it's every ~11 days.
AI News
OPENAI
OpenAI Safety Employee Resigns, Saying the Company’s “Culture Is Broken”
David Robinson, a longtime OpenAI safety employee, has resigned and publicly criticized the company's approach to AI safety, claiming the company's "culture is broken."
Details:
Robinson said he spent three and a half years at OpenAI and was involved in writing safety reports for major product releases before deciding to leave the company.
In an essay published by The Atlantic, he argued that OpenAI’s approach of deploying systems, identifying problems, and improving safeguards afterward can lead to failures that become more serious as AI capabilities advance.
Robinson pointed to recent incidents involving OpenAI agents accessing external systems as examples of the risks he believes can emerge when increasingly capable AI systems operate with insufficient safeguards.
He argued that frontier AI companies should adopt safety practices more similar to nuclear power plants or aviation, with multiple layers of redundancy and extensive planning designed to prevent individual mistakes from becoming major failures.
Robinson also called for greater attention to AI alignment, arguing that current methods for measuring whether AI systems reflect human values remain limited as models become more capable.
Robinson said he ultimately concluded that stronger external incentives for AI safety are needed, arguing that companies moving quickly to develop increasingly capable systems may struggle to make fundamental cultural and organizational changes on their own.
AI Findings/Resources
🤨 Most small businesses use AI. Few have figured out how to make it work
💡 AI can widen science — but only if institutions stop rewarding the already measurable
AI Tools to check out
🛠️ Hercules: Build custom software for your business without hiring a developer.
🚀 PostSyncer: AI content maker for social media publishing.
📊 LiveDocs: An advanced AI agent for data analysis, from question to result in seconds.
👀 2-b.ai: Zero setup AI to-do list built into your browser.
Video of the week
Nvidia CEO Jensen Huang Explains Why He Disagrees with Recent Calls to Slow Down AI Development
Nvidia CEO Jensen Huang has emerged as a leading voice against slowing down AI development. While critics argue his view may be biased by the fact that Nvidia profits heavily from AI demand, in this interview he lays out his case.
AI Safety and Industry Transition
Huang argues that the AI industry is currently transitioning from a research-focused "lab" phase to a high-production "engineering" phase. He asserts that calls for slowing down due to existential fears are "dramatic" and "irresponsible" and not grounded in facts or science. Instead, he emphasizes the need for companies to dedicate more resources to verification, benchmarking, and testing to ensure safety.
Regulation
Huang contends that there is no need for new laws; rather, existing regulations regarding product liability and cybersecurity should be applied to AI. He suggests that some CEOs may be seeking regulation to deflect from their own operational responsibilities.
The Global Race and China
Addressing competition with China, Huang advocates for American industry to innovate as quickly and safely as possible. While supporting the restriction of the most advanced AI chips to China, he disagrees with a total ban on all products, arguing that American companies should compete in the global market.
He also emphasizes working with international partners, including China, to establish global safety standards and share best practices.
Data Centers as Modern Infrastructure
Huang frames the rise of data centers as a re-industrialization of the United States. He likens them to "AI factories" that take in energy and data to produce intelligence, comparing their societal impact to the industrial revolutions of the past.
He says this is creating jobs for construction workers, electricians, and many others, though he acknowledges that developers failed to engage local communities early enough, which may have contributed to the backlash against them.
That’s a wrap!
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Gina 👩🏻💻