KQED61%

Sam Altman Defends Himself From Elon Musk’s Accusations in OpenAI Trial 70%

By Katie DeBenedetti69% Rachael Myrow42%

5/12/2026, 4:41:18 PM

BS Summary: This article contains 29 faulty reasoning types, including Negativity Bias, Framing Effect, and Ad Hominem, with Self-Serving Bias as the most egregious example at 23.2% saturation with 209 hits. Analysis detected 1,526 faulty-reasoning hits from 900 analyzed words, generating a BS Score of 63% and a BS Rank of 70% (6,606 of 21,887 articles). This article is worse (more manipulative) than 69.80% of the article peer group.

On the stand on Tuesday, OpenAI CEO Sam Altman said that Elon Musk tried to wrest control over the company they co-founded before the Tesla CEO’s 2018 exit. 
Altman’s testimony in the federal trial in Oakland, which many see as a billionaire grudge match, pushed back on Musk’s claim that the powerful AI start-up betrayed its mission to benefit the public good. 
Musk has accused Altman of “stealing a charity” by building an $850 million for-profit company on the back of its nonprofit research lab. 
Altman said that in early discussions about creating a for-profit arm, Musk sought majority ownership, and later proposed folding the nonprofit into his car company. 
“I read that as a lightweight threat,” Altman said of the plan to bring OpenAI into Tesla. 
“I don’t think it would have served the mission. 
I think it would have effectively destroyed the nonprofit in the process.” 
“Mr. 
Musk did try to kill it, I guess twice,” he said. 
As early as summer 2017, Altman, Musk and other OpenAI executives began discussing if and how to launch a for-profit, citing a need to raise more money to keep up with competitors like Google. 
OpenAI CEO Sam Altman testifies in the trial in which Elon Musk claims that Altman and OpenAI abandoned their founding promise to develop AI for the benefit of humanity rather than solely for profit in Oakland on May 12, 2026. 
(Vicki Behringer for KQED) 
Altman said they were “running the organization on a shoestring,” with a short runway of cash. 
To acquire the compute  or the GPUs and CPUs needed to power AI  and funding they needed to pursue artificial general intelligence, or a superintelligent AI technology known as AGI, the company would need more significant investments, the executives determined. 
“I thought, of course, we needed to raise billions to quickly ramp,” he said. 
“I saw no way to do it.” 
Altman, Greg Brockman, the president of OpenAI and Ilya Sutskever, a former top OpenAI computer scientist and member of its founding team, have said that in those conversations, Musk repeatedly proposed plans that would give him majority control. 
Initially, Altman said that he asked for 90% equity in a potential for-profit. 
The other executives pushed back on this request, including in an email Altman sent to Musk at the time, in which he said, “I am worried about control. 
I don’t think any one person should have control of the world’s first AGI  in fact, the whole reason we started OpenAI is so that wouldn’t happen.” 
Altman described Musk as “mercurial,” and said that when he left OpenAI in February 2018, after for-profit discussions fell apart, “people wondered if he’d try to take a vengeance on us”  which both he and his attorney, William Savitt, have alleged is exactly what Musk’s lawsuit aims to do. 
During his cross-examination, though, Musk’s counsel Steven Molo seemed to suggest that it is Altman who has amassed significant control over OpenAI since it did launch a for-profit arm in 2019. 
Molo asked Altman about the testimonies of various former OpenAI executives, who said he was untrustworthy and had a history of lying. 
Altman denied hearing those testimonies, but when asked if he had “repeatedly been called a liar” by people he has done business with, he said, “I have heard people say that.” 
Molo said that Altman sits on the board of directors for both the OpenAI Foundation, the nonprofit arm, and OpenAI’s for-profit. 
He is also the company’s CEO. 
“Would you ever fire yourself as the CEO of the for-profit?” 
Molo said, adding that the board of the nonprofit is supposed to provide oversight for the chief officer. 
Altman said that CEOs are “almost always” on their company’s boards. 
When pressed, he said he had “no plans” to fire himself. 
Bret Taylor testifies in the trial in which Elon Musk claims that Sam Altman and OpenAI abandoned their founding promise to develop AI for the benefit of humanity rather than solely for profit in Oakland on May 12, 2026. 
(Vicki Behringer for KQED) 
Molo also asked Altman about how board members were selected following his brief firing in 2023. 
During the five-day ouster, there were long negotiations behind the scenes about whether Altman would return, and who would be on the board if he did. 
Altman, Brockman and other OpenAI executives who followed them out were also in discussions with Microsoft, OpenAI’s largest financial backer, which had offered to bring them on to start a new AI team. 
Altman said initially he’d proposed to remove OpenAI’s board, which fired him, and replace it with four members, including himself. 
Altman was not made a board member at that time, but Molo said that he had proposed the three members who were ultimately selected  Bret Taylor, Larry Summers and Adam D’Angelo  in conversations with Microsoft CEO Satya Nadella. 
Altman said that he had no power to appoint new board members, but that he did say which configurations he would be “willing” to be rehired into. 
Earlier in the day, he characterized his return to OpenAI as running “back into a burning building to try to save it.” 
Later this week, both Altman and Musk’s legal teams will present their closing arguments. 
Then the jury and judge will decide which tech leader to believe. 
Article reasoning-pattern comparisonThis article: 9.1%Katie DeBenedetti: 2.5%CalMatters: 1.9%Confirmation Bias9.1%This article: 2.3%Katie DeBenedetti: 1.5%CalMatters: 0.9%Anchoring Bias2.3%This article: 10.9%Katie DeBenedetti: 3.6%CalMatters: 3.0%Availability Heuristic10.9%This article: 3.8%Katie DeBenedetti: 0.9%CalMatters: 1.0%Representativeness Heuristic3.8%This article: 0.0%Katie DeBenedetti: 0.6%CalMatters: 0.5%Hindsight Bias0.0%This article: 5.9%Katie DeBenedetti: 1.1%CalMatters: 1.2%Overconfidence Bias5.9%This article: 15.6%Katie DeBenedetti: 8.9%CalMatters: 6.3%Framing Effect15.6%This article: 0.0%Katie DeBenedetti: 1.0%CalMatters: 1.0%Loss Aversion0.0%This article: 0.0%Katie DeBenedetti: 0.7%CalMatters: 0.7%Status Quo Bias0.0%This article: 1.8%Katie DeBenedetti: 0.4%CalMatters: 0.2%Sunk Cost Effect1.8%This article: 2.4%Katie DeBenedetti: 4.0%CalMatters: 3.5%Optimism Bias2.4%This article: 4.9%Katie DeBenedetti: 1.6%CalMatters: 1.4%Pessimism Bias4.9%This article: 16.8%Katie DeBenedetti: 8.9%CalMatters: 6.4%Negativity Bias16.8%This article: 23.2%Katie DeBenedetti: 2.6%CalMatters: 1.7%Self-Serving Bias23.2%This article: 3.4%Katie DeBenedetti: 0.9%CalMatters: 0.7%Fundamental Attribution Error3.4%This article: 0.0%Katie DeBenedetti: 0.3%CalMatters: 0.2%Actor-Observer Bias0.0%This article: 0.0%Katie DeBenedetti: 2.1%CalMatters: 1.7%In-Group Bias0.0%This article: 0.0%Katie DeBenedetti: 0.3%CalMatters: 0.4%Out-Group Homogeneity Bias0.0%This article: 3.7%Katie DeBenedetti: 1.8%CalMatters: 2.7%Halo Effect3.7%This article: 0.0%Katie DeBenedetti: 0.2%CalMatters: 0.1%Horn Effect0.0%This article: 0.0%Katie DeBenedetti: 0.0%CalMatters: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Katie DeBenedetti: 1.5%CalMatters: 0.9%Recency Bias0.0%This article: 4.4%Katie DeBenedetti: 0.2%CalMatters: 0.3%Primacy Effect4.4%This article: 0.0%Katie DeBenedetti: 0.0%CalMatters: 0.0%Blind-Spot Bias0.0%This article: 11.8%Katie DeBenedetti: 1.3%CalMatters: 0.6%Ad Hominem11.8%This article: 0.0%Katie DeBenedetti: 0.2%CalMatters: 0.2%Straw Man0.0%This article: 1.3%Katie DeBenedetti: 3.5%CalMatters: 3.1%Appeal to Authority1.3%This article: 2.0%Katie DeBenedetti: 1.3%CalMatters: 1.1%False Dilemma2.0%This article: 1.3%Katie DeBenedetti: 1.1%CalMatters: 0.8%Slippery Slope1.3%This article: 0.0%Katie DeBenedetti: 0.2%CalMatters: 0.1%Circular Reasoning0.0%This article: 1.2%Katie DeBenedetti: 3.7%CalMatters: 3.6%Hasty Generalization1.2%This article: 2.9%Katie DeBenedetti: 0.4%CalMatters: 0.2%Red Herring2.9%This article: 0.0%Katie DeBenedetti: 0.9%CalMatters: 0.7%Bandwagon0.0%This article: 5.0%Katie DeBenedetti: 9.1%CalMatters: 5.3%Appeal to Emotion5.0%This article: 3.1%Katie DeBenedetti: 1.0%CalMatters: 0.6%Begging the Question3.1%This article: 0.0%Katie DeBenedetti: 2.2%CalMatters: 2.0%Post Hoc (False Cause)0.0%This article: 5.6%Katie DeBenedetti: 0.1%CalMatters: 0.1%Tu Quoque5.6%This article: 6.4%Katie DeBenedetti: 0.4%CalMatters: 0.3%Burden of Proof6.4%This article: 0.0%Katie DeBenedetti: 0.1%CalMatters: 0.2%Appeal to Nature0.0%This article: 0.0%Katie DeBenedetti: 0.2%CalMatters: 0.2%Composition/Division0.0%This article: 1.8%Katie DeBenedetti: 2.5%CalMatters: 3.1%Anecdotal1.8%This article: 0.0%Katie DeBenedetti: 0.0%CalMatters: 0.0%No True Scotsman0.0%This article: 8.1%Katie DeBenedetti: 1.5%CalMatters: 1.2%Ambiguity (Equivocation)8.1%This article: 0.0%Katie DeBenedetti: 0.0%CalMatters: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Katie DeBenedetti: 0.1%CalMatters: 0.1%Middle Ground0.0%This article: 0.0%Katie DeBenedetti: 0.0%CalMatters: 0.1%Personal Incredulity0.0%This article: 2.2%Katie DeBenedetti: 0.1%CalMatters: 0.1%Special Pleading2.2%This article: 0.0%Katie DeBenedetti: 0.1%CalMatters: 0.1%Genetic Fallacy0.0%This article: 0.1%Katie DeBenedetti: 0.9%CalMatters: 0.8%Unattributed Quote0.1%This article: 0.0%Katie DeBenedetti: 1.0%CalMatters: 0.7%Quote-first Misdirection0.0%This article: 8.4%Katie DeBenedetti: 1.7%CalMatters: 3.1%Biased Writer Voice8.4%This article: 0.0%Katie DeBenedetti: 1.1%CalMatters: 1.9%Indoctrination0.0%This article: 0.0%Katie DeBenedetti: 1.6%CalMatters: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Katie DeBenedetti: 0.2%CalMatters: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Katie DeBenedetti: 0.2%CalMatters: 1.2%Attempt to Sell a Product or S…0.0%

900 words analyzed.

Speakers

3speakers59%attributed speech369writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 100.0% coverageSam Altman • 28 words • 0.0% coverageWriter's voice • 34 words • 100.0% coverageElon Musk • 23 words • 0.0% coverageSam Altman • 25 words • 0.0% coverageSam Altman • 17 words • 0.0% coverageSam Altman • 9 words • 0.0% coverageSam Altman • 12 words • 0.0% coverageWriter's voice • 1 words • 100.0% coverageSam Altman • 11 words • 0.0% coverageWriter's voice • 34 words • 0.0% coverageWriter's voice • 40 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageSam Altman • 16 words • 0.0% coverageWriter's voice • 42 words • 0.0% coverageSam Altman • 14 words • 0.0% coverageSam Altman • 7 words • 0.0% coverageWriter's voice • 38 words • 0.0% coverageSam Altman • 13 words • 0.0% coverageSam Altman • 28 words • 0.0% coverageSam Altman • 28 words • 0.0% coverageSam Altman • 50 words • 0.0% coverageWriter's voice • 31 words • 100.0% coverageSteven Molo • 22 words • 0.0% coverageSam Altman • 31 words • 0.0% coverageSteven Molo • 21 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageSteven Molo • 11 words • 0.0% coverageSteven Molo • 18 words • 0.0% coverageSam Altman • 11 words • 0.0% coverageSam Altman • 11 words • 0.0% coverageWriter's voice • 39 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageSteven Molo • 16 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageSam Altman • 20 words • 0.0% coverageSteven Molo • 40 words • 0.0% coverageSam Altman • 27 words • 0.0% coverageSam Altman • 22 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverage
Selected voice

Elon Musk

100%flagged-word coverage
23 attributed words4.3% of attributed speech92% writer coverage
0%12.5%25.0%Biased Writer Voice-20.6 ptsWriter: 20.6%Elon Musk: 0.0%0.0%Unattributed Quote-0.3 ptsWriter: 0.3%Elon Musk: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.