ClaimsJensen Huang

“We use Claude Code here, but Codex does an incredible job as well.”

Jensen Huang, NVIDIA CEO 2 June 2026 NVIDIA GTC Taipei 2026 Keynote w/ CEO Jensen Huang (Transcript) (Singju Post)

Factual Their own work or organisation

While presenting a demo, Huang said "We use Claude Code here," and added that Codex also does an incredible job.

Not researched Checkable, but outside the sample that was researched.

Factual: Statements about the present or the past, checked against the record: did they hold up?

Said for an organisation they lead or work for; it counts on both records.

Cite this claim

Jensen Huang, “While presenting a demo, Huang said "We use Claude Code here," and added that Codex also does an incredible job.” (said 2 June 2026). Verdict: not researched. Reliability API, claim c_3f8a378e3972, method 0.1.0+03d23c0e, dataset release v1.1.2. https://epistacklabs.com/claims/c_3f8a378e3972

This claim is in dataset release v1.1.2, with the same verdict.

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For Jensen Huang, or someone speaking for them: a correction or counter-evidence. Replies are read before anything is shown; an approved reply shows your name, role, date, statement and link. Your email address is never shown and is deleted 30 days after the decision (privacy).

More factual claims by Jensen Huang

  1. Mostly true Factual 4 September 2026
    “our architecture is fungible in the sense that it runs every AI model, runs all data processing and parallel processing tasks.”

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  2. Mixed Factual 2 June 2026
    “A long time ago, NVIDIA used to be a GPU company.”

    NVIDIA used to be a GPU company a long time ago.

  3. Resolved true Factual 1 June 2026
    “NVIDIA Open Shell is open source.”

    NVIDIA's OpenShell is open source.

  4. Resolved true Factual 1 June 2026
    “Today we’re announcing the Nemotron 3 Ultra.”

    NVIDIA announced Nemotron 3 Ultra, its next open model, at the keynote.

  5. Resolved true Factual 1 June 2026
    “It is the reason why we’re working with Cadence so hard to accelerate all of their tools on CUDA, because the agents are impatient.”

    NVIDIA is working with Cadence to accelerate Cadence's tools on CUDA.

All of them

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