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Nvidia Shugaba Jensen Huang ya ce amincin AI matsala ce ta injiniya

Da yake magana a Salesforce's Dreamforce, Nvidia Shugaba Jensen Huang ya bayyana cewa AI baya buƙatar sabbin dokoki ko ƙa'idodi, yana mai tabbatar da cewa aminci ƙalubale ne na injiniya wanda sojojin kasuwa ke gudanarwa da kuma ƙa'idodin abin dogaro na samfur.

4 min readRead the original reporting
Source-provided image accompanying Nvidia CEO Jensen Huang argues AI safety is an engineering problem
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techcrunch.com
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techcrunch.comhttps://techcrunch.com/2026/09/15/we-dont-need-ai-regulation-leave-safety-to-us-nvidias-jensen-huang-says/
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Abin da ba mu iya tabbatarwa da kansa ba: An dangana wannan da'awar ga kanti mai suna. Ba mu tabbatar da shi a kan takardar jam'iyyar farko ba. (techcrunch.com)

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Filin da ya mayar da hankali kan rage halaye masu cutarwa, gazawa, da haɗarin rashin amfani da su a cikin tsarin AI.
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Ƙimar lambobi da aka koya wanda ke ma'aunin sigina da ke wucewa ta hanyar sadarwar jijiya.
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Nvidia CEO Jensen Huang publicly rejected the need for new AI regulations during a speech at Salesforce's Dreamforce conference, arguing that is an engineering problem rather than a legal one.

Nvidia founder and CEO Jensen Huang addressed the audience at Salesforce’s Dreamforce conference on Tuesday, explicitly stating that AI does not require new laws or regulations. He characterized AI as a complex computing system built by humans, comparable to other software and hardware products, rather than an autonomous or 'alien' entity.

Huang argued that safety is an engineering problem, not a legal one. He contended that market forces are sufficient to ensure safety, urging companies to pause development if they are not confident in a product's safety or functionality. He stated, 'We don’t need any new laws. We don’t need new regulations. We just need companies to decide that when [to] run as fast as they can.'

The TechCrunch report notes that while Huang’s position offers a comforting view of controllability, it is unsurprising given Nvidia's financial dependence on the AI boom. The article highlights that Huang has the 'ear of President Trump,' suggesting his views may carry significant political in shaping U.S. policy.

The source contrasts Huang’s deregulatory stance with recent calls for stricter oversight, including comments from Microsoft CEO Satya Nadella about global safety concerns and various political figures urging federal action. The report also cites past software failures, such as the CrowdStrike incident, to question the reliability of relying solely on market discipline for safety.

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Huang's stance represents a significant counterpoint to the growing political and industry consensus favoring stricter AI oversight. As a leader of the company providing the foundational hardware for most major AI models, his influence is substantial. His argument that market forces and existing laws are sufficient challenges the premise that AI requires unique regulatory frameworks, potentially impacting legislative efforts in the U.S. and globally to establish binding safety standards.

Jensen Huang is the head of the company that manufactures the GPUs powering the majority of large-scale AI training and . His public opposition to new regulations could influence the trajectory of AI policy debates, particularly in the United States where legislative efforts are currently active.

The argument that AI is merely 'hardware and software' challenges the narrative that AI poses unique existential risks requiring unprecedented legal frameworks. This perspective aligns with industry interests in maintaining rapid development cycles without the potential delays and costs associated with compliance with new regulations.

The timing of these remarks is significant, occurring amidst a 'short window' for industry self-regulation and increasing pressure from political figures and safety researchers for binding federal laws. Huang's influence, combined with his reported access to the President, suggests his views may help shape the final regulatory landscape.

Interactive Mechanism

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Bincika fasahar da ke bayan wannan ci gaban ta hanyar mu'amala.

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
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Monitor legislative responses to Huang's comments, particularly from lawmakers who have recently called for binding federal AI regulation. Watch for any shifts in Nvidia's internal safety protocols or public statements from other major AI hardware and software providers regarding self-regulation versus government oversight.

Observe whether other major AI industry leaders publicly align with or refute Huang’s position on the sufficiency of existing laws and market forces.

Track legislative developments in the U.S. Congress, specifically bills related to and regulation, to see if Huang’s comments impact the momentum or content of proposed legislation.

Monitor Nvidia’s corporate communications for any specific details on their internal safety engineering practices or self-regulatory commitments, as Huang’s argument relies on the premise that companies will self-police effectively.

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