Under the new leadership of Elon Musk, Twitter is working harder to thwart hateful conduct. The new Chief Twit took ownership of the platform just before Halloween weekend and has been rapidly implementing new changes, addressing the needs of Twitter’s users, such as wrongful suspensions and addressing a spike in the use of a racial slur that took place as Twitter transitioned to its new leadership.
Jason Calacanis, a host of the All-In podcast, is working with Twitter’s new leadership team to help Elon Musk make the necessary changes to the platform. Calacanis shared a tweet by Twitter’s Head of Safety & Integrity, Yoel Roth, and said that the coordinated, hateful conduct surge was quickly thwarted.
Update on the coordinated, hateful conduct surge — it was quickly thwarted. https://t.co/QUNveJRVY6
— @jason (@Jason) November 1, 2022
In his thread, Roth gave a very clear update on how Twitter is addressing the surge in hateful conduct. This is a very different Twitter since many users, including myself, have experienced hateful conduct and have seen Twitter’s slow response to it. Roth’s full thread reads as follows:
“Since Saturday, we’ve been focused on addressing the surge in hateful conduct on Twitter. We’ve made measurable progress, removing more than 1500 accounts and reducing impressions on this content to nearly zero. Here’s the latest on our work and what’s next.”
“Our primary success measure for content moderation is impressions: how many times harmful content is seen by our users. The changes we’ve made have almost entirely eliminated impressions on this content in search and elsewhere across Twitter.”
“Impressions on this content typically are extremely low, platform-wide. We’re primarily dealing with a focused, short-term trolling campaign. The 1500 accounts we removed don’t correspond with 1500 people; many are repeat bad actors.”
“Impressions don’t tell the whole story. These issues aren’t new, and the people targeted by hateful conduct aren’t numbers or data points. We’re going to continue investing in policy and technology to make things better.”
“Many of you have said you’ve reported hateful conduct and received notices saying it’s not a violation. Here’s why and what we’re doing to fix it:”
“To try to understand the context behind potentially harmful Tweets, we treat first-person, and bystander reports differently. First-person: This hateful interaction is happening to or targeting me. Bystander: This is happening to someone else.”
“Why? Because bystanders don’t always have full context, we have a higher bar for bystander reports in order to find a violation. As a result, many reports of Tweets that in fact, do violate our policies end up marked as non-violative on first review.”
“We’re changing how we enforce these policies, but not the policies themselves, to address the gaps here.”
“You’ll hear more from me and our teams in the days to come as we make progress. Talk is cheap; expect the data that proves we’re making meaningful improvements.”
Author’s note: There has been a huge uptick in bots over the weekend. I’ve noticed several bots targeting Teslarati and continuing to spam the replies of Elon Musk. There was even a verified account posting as “Tesla News” promoting a link to a YouTube that promoted a crypto scam.
That said, I don’t expect Elon Musk and his new team to solve these problems overnight. Seeing Twitter’s fast response to the hate is very hopeful. I also hope they apply this same speed to child sexual abuse materials. Advocate Eliza Blue has even offered to work with Twitter and Elon Musk for no charge to help spearhead the removal of the content.
I like to be as transparent with my followers as possible.
I have offered to work with X (Twitter) under the new leadership to remove child sexual exploitation material at scale. I offered to work for free.
— 𝔈𝔩𝔦𝔷𝔞 (@elizableu) October 26, 2022
As Eliza pointed out to me over the phone, Elon Musk was most likely not aware of the ongoing lawsuits against Twitter regarding child sexual abuse materials. Having this material up, she said, is a liability, and as a supporter of Elon’s, she would like to help Twitter remove it.
“One key benefit of Elon Musk prioritizing the removal of this content besides protecting children is that corporate media and governments won’t be able to weaponize this very real crime against him,” she told me.
It is a topic of the utmost importance and it's interesting that mainstream media never cared until Elon took over.
— Truth Nudge Unit (@TruthNudgeUnit) November 1, 2022
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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
