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PivotPivot

OpenAI Shares New Details About History with Elon Musk

OpenAI is striking back at Elon Musk's lawsuit in a new blog post, that includes several old Elon emails. Kara Swisher and Scott Galloway discuss the tactic and the history of the Elon Musk/OpenAI relationship.

Kara SwisherhostScott Gallowayhost
Mar 8, 202411mWatch on YouTube ↗

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CHAPTERS

Chapter summaries

  1. OpenAI moves to dismiss Musk’s legal claims and publishes old emails

    Kara frames the news: OpenAI plans to seek dismissal of Elon Musk’s latest legal claims and has released a blog post with historical emails. The emails aim to document what was agreed in 2017 about OpenAI’s structure and funding.

    • •OpenAI signals intent to dismiss Musk’s legal claims
    • •Company publishes a blog post detailing mission and relationship with Musk
    • •Old emails are used as receipts to shape the narrative
    • •2017 discussions: moving toward a for-profit entity is presented as mutually agreed
  2. Control vs. mission: Musk’s reported demands for equity, board control, and CEO role

    Kara highlights what the emails allegedly show: Musk supported a for-profit step but wanted outsized control in return. She argues he also leveraged funding during negotiations, and OpenAI found alternative backers.

    • •Musk allegedly sought majority equity, initial board control, and the CEO title
    • •Funding was reportedly used as leverage during talks
    • •OpenAI turned to other wealthy supporters (e.g., Reid Hoffman)
    • •Kara frames the behavior as narcissism and power-seeking
  3. The PR counteroffensive: OpenAI’s posture and the “AI for a better future” open letter

    Kara connects OpenAI’s legal response with a broader PR strategy, including an industry open letter signed by major AI firms. She treats the letter as reputational positioning more than binding commitment.

    • •OpenAI, Google, Meta, and others sign an open letter on responsible AI
    • •Letter stresses maximizing benefits and limiting risks
    • •Sam Altman promotes the letter on X
    • •Kara calls it a PR move that doesn’t obligate companies to concrete actions
  4. Scott compares OpenAI’s approach to Twitter’s board response during the Musk deal

    Scott praises OpenAI for responding with documentation and a measured dismantling of Musk’s arguments. He likens it to how Twitter’s board rebutted Musk when he tried to exit his acquisition agreement.

    • •Scott likes the direct, document-driven rebuttal style
    • •Analogy: Twitter board’s methodical response to Musk’s attempted deal exit
    • •Theme: exposing contradictions and contractual/strategic realities
    • •Expectation: OpenAI’s response strategy will hold up under scrutiny
  5. “Not for humanity”: arguing Musk’s motivations were control, attention, and wealth

    Scott and Kara interpret the email trail as undercutting Musk’s stated altruism around AI safety. Scott broadens it into a critique of the attention economy where notoriety matters more than accuracy or expertise.

    • •Scott claims the record suggests Musk sought control and upside, not public benefit
    • •Observation: attention incentives reward being in the news regardless of merit
    • •Examples of “weighing in” beyond expertise as status/attention behavior
    • •Prediction: OpenAI will aggressively contest Musk’s narrative
  6. Tech’s willingness to fight back: Altman’s posture, board rebuild rumors, and Moskovitz’s critique

    Kara suggests OpenAI/Altman won’t “roll over,” and notes chatter about a high-profile, even-handed board. She cites Dustin Moskovitz’s comments as a sign that tech leaders may push back publicly against Musk’s conduct.

    • •Kara expects OpenAI to assemble a ‘spectacular’ new board
    • •Contrast: Bret Taylor’s quieter style vs. Altman’s more aggressive posture
    • •Moskovitz allegedly urges tech peers to call out Musk’s behavior
    • •Strategy: highlight greed to counter Musk’s ‘humanity’ messaging
  7. AI product race update: Anthropic’s Claude 3 and Perplexity’s search challenge

    Kara pivots to the competitive AI landscape, flagging Anthropic’s new Claude 3 models and their claims of near-human comprehension. She also introduces Perplexity as a serious, well-funded attempt to disrupt Google search.

    • •Anthropic releases Claude 3 and touts performance gains
    • •Amazon’s investment in Anthropic is noted
    • •Perplexity raises at ~ $1B valuation to take on Google search
    • •Kara underscores increased competition among well-funded AI players
  8. Regulation and enforcement capacity: Kara’s call for stronger government involvement

    Kara argues that voluntary pledges aren’t enough and that government must play an active role in AI oversight. She highlights a funding dispute that would reduce DOJ antitrust resources during major cases.

    • •Kara: government must be involved ‘in a smart way’ alongside industry
    • •Skepticism toward corporate virtue signaling and non-binding pledges
    • •Sen. Klobuchar relays that $45M intended for DOJ antitrust may be clawed back
    • •Concern: enforcement agencies are being weakened amid key antitrust actions
  9. Scott’s AI investing tangent: Anthropic valuation talk and an FTX-claims strategy

    Scott discusses being offered Anthropic shares on secondary markets and reacts to frothy valuations. He explains his unconventional investment thesis: buying FTX bankruptcy claims partly because FTX held an Anthropic stake.

    • •Secondary-market Anthropic shares discussed at ~ $18B valuation
    • •Scott calls the valuation ‘crazy’ relative to metrics but is tempted
    • •He bought FTX creditor claims after learning FTX owned ~8% of Anthropic
    • •Back-of-envelope math: Anthropic stake could drive meaningful recovery for creditors
  10. Advising the White House: why policymakers must discount industry self-interest

    Scott says he has been contacted by White House staff working on AI and offered guidance. His central warning: listen to industry leaders, but assume they will advocate for outcomes that benefit their companies and shareholders.

    • •Scott claims to have had calls with White House AI staff
    • •Advice: consult leaders like Jensen Huang and Sam Altman, but track incentives
    • •Example: chip export arguments to China framed as ‘rational’ but self-interested
    • •Need for advisors focused on the public interest, not corporate priorities
  11. Top short-term AI risk: election disinformation via imperceptible deepfakes

    Scott names campaign disinformation as the most immediate AI threat. He predicts subtle deepfakes—particularly foreign-influenced content—designed to reinforce existing fears rather than obvious fabrications.

    • •Biggest near-term risk: AI-driven disinformation around elections
    • •Scenario: foreign actors (e.g., Putin) deploy deepfakes at scale
    • •Deepfakes will be subtle (e.g., making Biden seem slightly older/slower)
    • •Platforms’ ‘porous’ governance could enable rapid spread
  12. Deeper security concern: AI-radicalized lonely young men and potential weaponization

    Scott argues a major longer-term danger is AI systems exploiting loneliness, gambling, and risk-seeking behavior in young men, including those in sensitive roles. Kara reacts with alarm but agrees with the core concern.

    • •Risk: algorithms radicalize and ‘weaponize’ susceptible individuals
    • •Focus on lonely young men and communities prone to conspiracies
    • •Concern extends to men in armed services and critical infrastructure
    • •Kara calls it ‘movie-like’ but endorses the underlying warning

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