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Bob Iger reveals bots were already an issue when Disney tried to buy Twitter
Former Disney CEO Bob Iger can relate to Elon Musk and his decision to back out of his Twitter acquisition deal. This was because Disney had tried to purchase Twitter before, and even then, bots were already seen as an issue on the platform.
Iger recently shared his experiences during an interview at the Code Conference. While Disney’s attempt to purchase Twitter in 2016 had been known for some time as it was part of Iger’s 2019 memoir, the former Disney CEO shared more details about the deal in his recent interview. As noted by Iger, Twitter would have been a pretty great distribution platform for Disney, but it simply had too many headaches that came with it.
Among these were bots. Iger noted that while Disney didn’t estimate then that most of Twitter’s users were not real people, the entertainment giant, with Twitter’s help, came to the conclusion that a substantial portion of the social media platform’s users were not real. This discounted the value of Twitter by a pretty notable margin.
But while bots could be seen as a given for a social media company, the prevalent hate speech that happens on Twitter ultimately pushed Disney to pull the plug on its acquisition attempt. A platform that has the potential to do much harm and contains so much toxicity, after all, is pretty off-brand for a company like Disney, which is aimed at providing fun to as many people as possible.
Following is Bob Iger’s statement on the matter, as per Vox.
“We were intent on going into the streaming business. We needed a technology solution. We have all this great IP. We weren’t a technology company. How do we get that IP to consumers around the world? And we were kicking tires left and right. We thought about developing ourselves. Five years, $500 million. It wasn’t the money. It was the time because the world was changing fast. And at the same time, we heard that Twitter was contemplating a sale.
“We enter the process immediately, looking at Twitter as the solution: a global distribution platform. It was viewed as sort of a social network. We were viewing it as something completely different. We could put news, sports, entertainment, (and) reach the world. And frankly, it would have been a phenomenal solution, distribution-wise.
“Then, after we sold the whole concept to the Disney board and the Twitter board, and we’re really ready to execute — the negotiation was just about done — I went home, contemplated it for a weekend, and thought, ‘I’m not looking at this as carefully as I need to look at it.’ Yes, it’s a great solution from a distribution perspective. But it would come with so many other challenges and complexities that, as a manager of a great global brand, I was not prepared to take on a major distraction and having to manage circumstances that weren’t even close to anything that we had faced before.
“Interestingly enough, because I read the news these days, we did look very carefully at all of the Twitter users — I guess they’re called users? — and we, at that point, estimated with some of Twitter’s help that a substantial portion — not a majority — were not real. I don’t remember the number, but we discounted the value heavily. But that was built into our economics. Actually, the deal that we had was pretty cheap.
“Then you have to look, of course, at all the hate speech and potential to do as much harm as good. We’re in the business of manufacturing fun at Disney — of doing nothing but good, even though there are others today that criticize Disney for the opposite, which is wrong. This was just something that we were not ready to take on, and I was not ready to take on as the CEO of a company, and I thought it would have been irresponsible,” Iger said.
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Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
