if he took one of the AI people working on self-driving and drop them into Twitter, I'm one. They would solve the bot problem, the spam problem in 30 days with one. And if, God forbid he sent three, they would solve it in the weekend.View on YouTube
Evidence shows that Elon Musk did, in fact, bring a substantial number of Tesla Autopilot/software engineers into Twitter (now X) immediately after the October 28, 2022 acquisition—more than 50 Tesla employees, mostly Autopilot software engineers, were authorized to work on Twitter’s code and systems, not just a single engineer or a team of three. (cnbc.com) This is a much stronger version of the scenario Jason described ("drop one of the AI people working on self‑driving" into Twitter), so if the prediction were realistic, we would expect the spam/bot problem to be largely resolved within at most a few months of the takeover.
However, years later, bots and spam remain a major, widely‑reported problem on X. In 2024, X launched a public "bot purge" and anti‑spam initiatives, but even sympathetic coverage framed these as attempts to deal with an ongoing, persistent bot problem rather than a solved one. (forbes.com) Third‑party analyses have estimated very high levels of fake or automated accounts: for example, a 2024 5th Column AI study estimated that around 64% of analyzed X accounts exhibited bot‑like behavior, far above Twitter’s earlier internal claims. (twitter.com) X’s own transparency figures and public statements emphasize that hundreds of millions of accounts are being suspended for spam and manipulation and that large bot purges continue into 2024–2025, which by itself implies the problem is ongoing rather than “substantially solved.” (twitter.com) As late as September 2025, U.S. Representative Ro Khanna was publicly criticizing Musk at a major policy summit for failing to eliminate bots on X, underscoring that the platform is still perceived as heavily bot‑infested. (axios.com)
Given that: (1) Musk actually used many Autopilot engineers at Twitter/X, i.e., a stronger condition than the podcast scenario; and (2) credible studies, news coverage, and public officials all indicate that bots and spam remain a large, visible problem well beyond any 30‑day or single‑weekend window, the prediction that such engineers could "solve the bot problem, the spam problem" that quickly is not borne out by what happened. Therefore, the prediction is wrong.