Pundit ClaimsAI claims by Gary Marcus and Ed Zitron, with the evidence

“Although it is unreliable and prone to hallucinations, it is terrific at making plausible sounding text (e.g., phishing attacks to trick people into revealing credentials) and deepfaked videos at virtually zero cost, allowing attackers to broaden their attacks.”

Breaking news: U.S. banks are taking hits from AI agents, paragraph 13. The full statement is at the source.

Our reading, the sentence that was checked:

Although generative AI is unreliable and prone to hallucinations, it is terrific at making plausible sounding text (such as phishing attacks) and deepfaked videos at virtually zero cost, allowing attackers to broaden their attacks.

Assessment: Unresolved Evidence as of

Where and when Gary Marcus wrote it

Marcus on AI, Breaking news: U.S. banks are taking hits from AI agents, paragraph 13.

Said
Source observed
live page, full text, public
Evidence as of
the cutoff for this assessment
Assessment recorded
assessment marcus-breaking-news-us-banks-are-taking-055d32-a1

We recorded 12 claims from this post. See every claim from this post.

The wording above is the version this site observed on 2026-10-28. The source may have been edited after 2026-10-22. This page does not claim the wording was captured then.

What the claim commits to

Kind
Causal claim
Deadline, as the speaker wrote it
None stated. This site does not add one.
Deadline state when assessed
No horizon
Deadline state on 2026-10-29
No horizon (the release’s reference date)

Conditions

  • restated from his early-2025 Politico warning (qualifier, stated by the speaker)

From the speaker

  • unreliable and prone to hallucinations
  • terrific at making plausible sounding text
  • phishing attacks
  • deepfaked videos
  • at virtually zero cost
  • allowing attackers to broaden their attacks

Our interpretation

  • The ordinary reading is that generative AI can produce convincing phishing text and deceptive video cheaply enough to substantially reduce the effort needed to reach more victims.
  • Virtually zero cost means negligible marginal production expense, not literally free hardware, labor, distribution, or an entire criminal operation.
  • The cost wording applies to both text and video. Required generation fees, compute, and repeated attempts count toward marginal production expense.
  • The passage restates an early-2025 warning. Evidence must establish capabilities available by then; it is not a forecast with a future deadline.

Counts as supported if: Capability evaluations, production-cost evidence, and documented attacker use jointly establish convincing text and video at negligible marginal cost, with reduced effort enabling broader attacks despite reliability failures.

Counts as contradicted if: Representative evidence establishes that a central component fails, such as effective deceptive video requiring materially non-negligible marginal production costs under the stated reading.

Retrospective: these criteria were written after the outcome was public.

Current assessment

Does the evidence support the cause?

Outcome: Unresolved

The record was checked, and the evidence available by the cutoff does not settle it.

Scored on a plain reading. The speaker named no measure for this claim, so it was judged on the reading an informed reader would take, stated below under our interpretation. Both reviews had to find that reading fair.

Evidence as of
Deadline state when assessed
No horizon
Assessment recorded
Policy version
2026-10-28.7

Rationale

The phishing experiment and FBI warning support convincing AI-generated deception and reduced effort that broadens attacks. Unit 42 also documents real video scams. The stronger cost claim remains unsettled: commercial video services charged meaningful amounts, but their prices do not measure marginal self-generation costs. That mismatch prevents either supporting the whole statement or treating those prices as a decisive contradiction.

Limitations

  • Virtually zero is undefined.
  • The phishing experiment measures clicks, not completed credential theft.
  • The FBI source is a qualitative official warning, not a controlled cost study.

Evidence (3 items)

  • Supports the claim: Heiding and colleagues, arXiv,

    on par with human experts

    Why it matters here: The 101-participant evaluation found comparable click-through rates for automated AI phishing and expert-written messages, while its economic analysis found advantages from scaling automation. This supports convincing text and lower costs, but does not measure deceptive-video production.

    Publisher
    Heiding and colleagues, arXiv
    Kind of source
    Preprint, not peer reviewed
    Describes events of
    Public from
  • Supports the claim: Federal Bureau of Investigation, Internet Crime Complaint Center,

    reduces the time and effort

    Why it matters here: The FBI describes faster production of believable messages, wider audiences, and deceptive video chats used in fraud. This supports the proposed scaling mechanism and actual use of both media, but supplies no numerical production-cost estimate.

    Publisher
    Federal Bureau of Investigation, Internet Crime Complaint Center
    Kind of source
    Official statistics
    Describes events of
    Public from
  • Context only: Palo Alto Networks Unit 42,

    manipulate visuals and audio

    Why it matters here: Unit 42 documents deployed deepfake scam campaigns and quotes typical video-production prices of $60–$500. Those service prices caution against describing all production as virtually free, but they do not measure the marginal cost of self-generation and therefore do not decisively contradict that reading.

    Publisher
    Palo Alto Networks Unit 42
    Kind of source
    Independent measurement
    Describes events of
    Public from

What would settle it

Contemporaneous tests of convincing phishing text and impersonation video that report successful-output rates, required generation fees and compute, and costs including retries would settle the missing cost component.

Where it was said (1)

Said once in the sources this register covers.

  • : Marcus on AI, Breaking news: U.S. banks are taking hits from AI agents

    Although it is unreliable and prone to hallucinations, it is terrific at making plausible sounding text (e.g., phishing attacks to trick people into revealing credentials) and deepfaked videos at virtually zero cost, allowing attackers to broaden their attacks.

    Published
    2026-10-22
    Source observed
    , live page
    Access
    full text, public

History

Assessment versions

Recorded events

  1. Assessment publishedBy this site

    First assessment published after both reviews and the final-text check passed.

    About assessment marcus-breaking-news-us-banks-are-taking-055d32-a1.