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Nvidia CEO Jensen Huang dismissed warnings that artificial intelligence could cause human extinction by 2030, putting the likelihood at 0% and characterizing such forecasts as unscientific and irresponsible. Responding to concerns from former Anthropic alignment leader Evan Hubinger and other AI-safety advocates, Huang said developers should advance AI rapidly while ensuring they do not ship unsafe products.
Huang argued that existing liability, criminal, cybersecurity, and business-damage laws are sufficient to govern AI, rather than new AI-specific regulation. He said Nvidia’s commercial interests require safe deployment, since unsafe products would damage the company’s value, and also criticized U.S. limits on China’s access to advanced AI-training chips, arguing Chinese organizations can still obtain needed hardware and that chipmakers should compete globally.
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Huang criticized U.S. restrictions on China buying advanced AI-training chips, stating that Chinese organizations can obtain the chips they need and that chip companies should compete for the global market.
President Donald Trump also opposed creating new AI regulatory frameworks, arguing that existing criminal and regulatory authorities can be applied to AI and data-center companies and that additional rules could advantage China.
Nvidia CEO Jensen Huang said there was a 0% chance AI would end the world by 2030, calling extinction warnings unscientific and arguing developers should advance AI rapidly while not releasing unsafe products. He said existing liability, cybersecurity, criminal, and business-damage laws provide sufficient guardrails rather than new AI-specific regulation.
AI researcher Jacob Coxon resigned from Anthropic after approximately three years of pretraining work at Anthropic and OpenAI. He alleged that both companies were irresponsibly racing to develop self-improving superintelligence despite potentially existential risks.
Former Anthropic Alignment Science lead Evan Hubinger said he believed AI could kill all humans within the next decade, estimating the risk at greater than 10% because superintelligence alignment remains unresolved.
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President Donald Trump announced plans to establish an **“AI Force”** and appoint an AI czar, likening the effort to the creation of the U.S. Space Force. He said the initiative would promote rather than constrain the AI sector, arguing that maintaining U.S. leadership over China is essential and asserting AI could account for as much as 25% of U.S. GDP; no operational structure, authority, or implementation timeline was disclosed. The announcement rejects calls for a slowdown in advanced-model development and dismisses AI-safety warnings, as well as opposition to data-center construction, as a “hoax.” It follows renewed warnings from Anthropic CEO Dario Amodei and current and former AI-industry personnel about loss-of-control, AI-agent, botnet, and cybersecurity risks—concerns also amplified by reported agent-testing incidents and by data-center objections involving power prices and local impacts. Trump and Nvidia CEO Jensen Huang opposed slowing AI progress.
Sep 21, 2026
Reporting and commentary highlighted intensifying **U.S.–China competition in AI** driven less by capital and more by access to advanced compute and the ability to shape global AI governance. In China, a wave of Hong Kong IPOs raising **more than $1B** for domestic AI firms was framed as a confidence signal, but industry leaders warned that funding alone cannot close the gap with leading Western labs; Alibaba *Qwen* leadership reportedly assessed China’s odds of “leapfrogging” **OpenAI** and **Anthropic** via fundamental breakthroughs as **below 20%**, citing structural constraints such as compute availability and ecosystem maturity. Separately, policy analysis argued China is expanding international influence through **AI capacity-building diplomacy**, including a **UN General Assembly resolution** on AI capacity-building (co-sponsored by 140+ countries) and initiatives like training workshops, governance action plans, and infrastructure support aimed at the Global South—while warning the U.S. risks ceding agenda-setting power if it cannot sustain consistent engagement. A third piece captured **Nvidia CEO Jensen Huang** publicly pushing back on “doomer” narratives and the idea of imminent “god AI,” emphasizing current systems’ limits; while not a cybersecurity incident, it reinforces the broader theme that near-term AI outcomes are constrained by practical factors (capability limits and compute), not hype alone.
Jun 29, 2026
Anthropic CEO Dario Amodei urged developers of the most capable AI models to extend development timelines by one to two years for safety testing, safeguards, and alignment research. He warned that increasingly autonomous, interconnected agents operating at internet scale—and potentially helping create successor models—could cause severe harm without robust oversight. Amodei called for continuous independent inspection of major AI labs' safety-management systems and for U.S. authorities to allow safety-focused industry coordination without automatically treating it as anticompetitive. OpenAI CEO Sam Altman backed adapting the pace of frontier-AI development and granting independent evaluators access to safety systems comparable to that available internally, while Elon Musk also endorsed the proposal. President Donald Trump downplayed the concerns, emphasizing U.S. competition with China; researchers welcomed external auditing but questioned whether a coordinated pause is feasible amid that rivalry and limited safety research. Asian AI-linked shares, including SoftBank, Kioxia, SK Hynix, and Samsung, fell after the comments, though broader Middle East and Red Sea trade-route concerns may also have affected markets.
Sep 20, 2026