
Tesla is slow in reporting crashes and the feds have launched an investigation to find out why
The National Highway Traffic Safety Administration said in a filing on Thursday that Tesla's reports on 'numerous' incidents involving its driver assistance and self-driving features were submitted far too late — several months after the crashes instead of within five days as required.
The probe comes two months after the electric vehicle maker run by Elon Musk started a self-driving taxi service in Austin, Texas, with hopes of soon offering it nationwide. The company also hopes to send over-the-air software updates to millions of Teslas already on the road that will allow them to drive themselves.
Investors enthusiastic about such plans have kept Tesla stock aloft despite plunging sales and profits due to boycotts over Musk's support for U.S. President Donald Trump and far-right politicians in Europe.
The safety agency said the probe will focus on why Tesla took so long to report the crashes, whether the reports included all the necessary data and details and if there are crashes that the agency still doesn't know about.
Tesla did not respond to a request for comment, but the agency noted that the company has told it the delays were 'due to an issue with Tesla's data collection," which Tesla says has now been fixed.
The new investigation follows another probe that began in October into potential problems with Tesla's self-driving technology in foggy weather and other low visibility conditions, which has led to several accidents including one death. That probe involves 2.5 million Tesla vehicles.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Digital Trends
25 minutes ago
- Digital Trends
SpaceX takes big step toward next Starship rocket launch
SpaceX has taken a big step toward the 10th flight of the Starship rocket, moving the first-stage Super Heavy booster to the launchpad at the company's Starbase site in Boca Chica, Texas. The Elon Musk-led spaceflight company shared several images (below) of the Super Heavy booster — the most powerful ever to fly — on its X account on Thursday. One of them shows an aerial view of the Starbase site with the Super Heavy being moved toward the launchpad. Another is of the booster at the launchpad, while the third image shows a close-up of the rocket's 33 Raptor engines, which will generate around 17 million pounds of thrust at launch as it lifts off on Sunday. The upper-stage Starship spacecraft has yet to be placed atop the Super Heavy. Super Heavy booster moved to the launch pad at Starbase ahead of Starship's tenth flight test — SpaceX (@SpaceX) August 21, 2025 SpaceX is targeting Sunday, August 24, for the 10th test flight of the Starship. For full details on how to watch a livestream of the launch, Digital Trends has you covered. Recommended Videos Sunday's flight will be the first Starship launch since May 27. SpaceX had hoped to fly earlier than this weekend, but a sudden explosion at Starbase that wrecked one of the Starship spacecraft killed the plan. An investigation attributed the explosion to a technical flaw involving a damaged high-pressure nitrogen tank inside the spacecraft. Unlike some of the previous Starship flights, SpaceX will not be landing the 71-meter-tall booster back at Starbase, instead attempting a controlled landing in open water. Looking further ahead, NASA is planning to use a modified version of the Starship spacecraft for its first crewed moon landing since the final Apollo mission in 1972. The Artemis III mission is currently targeted for 2027, though depending on how SpaceX's Starship testing goes, among other factors, the highly anticipated mission could be shifted to a later date. Beyond that, NASA wants to use the Starship system to carry additional crews and cargo to the lunar surface, and even deploy it for the first crewed mission to Mars, which could take place in 2030s. Shortly before Sunday's flight, Musk is expected to give an update on the long-term plans for the Starship, which should include details about much of the above.
Yahoo
41 minutes ago
- Yahoo
AI Now Matches Prediction Markets in Forecasting Real Events, Study Finds
A new artificial intelligence benchmark launched in August shows that AI models can forecast real-world events as accurately as prediction markets—and sometimes better, according to researchers at the University of Chicago's SIGMA Lab. Prophet Arena evaluates AI systems by having them predict the outcomes of live, unresolved events drawn from platforms like Kalshi and Polymarket—ranging from election results to sports matches and economic indicators. Unlike traditional benchmarks that test models on historical data with known answers, Prophet Arena tests AI against future predictions. 'By anchoring evaluations in unresolved, real-world events, Prophet Arena ensures a level playing field. There is no pre-training advantage, no secret fine-tuning trick, no leakage of test samples,' the Prophet Arena team said in the benchmark's official blog post. The benchmark says it is trying to address a fundamental question about artificial intelligence: 'Can AI systems reliably predict the future by connecting the dots across existing real-world information?' Early results suggest they can. GPT-5 currently leads the leaderboard with a Brier score of 82.21%. Meanwhile, OpenAI's o3-mini model has emerged as the profit champion, generating the highest average returns when its predictions are translated into simulated bets (usually an underdog with enough chances to win can provide a lot more return, given the proper conditions). DeepSeek R1 appears to be the contrarian AI in the group, frequently making predictions that diverge sharply from both other models and market consensus, so probably not the best model to trust if you want to make a quick buck on Myriad platform reveals distinct "personalities" among AI models when facing identical information. In one example, when predicting whether AI regulation would become federal law before 2026, the market assigned just a 25% probability. But the models diverged wildly: Qwen 3 predicted 75%, GPT-4.1 estimated 60%, while Llama 4 Maverick stayed conservative at 35%. In another case, o3-mini earned a simulated $9 return on a $1 bet by correctly predicting Toronto FC would beat San Diego FC in a Major League Soccer match. The model gave Toronto a 30% chance of winning, while the market priced it at just 11%. Toronto won. "(Prophet Arena) tests models' forecasting capability, a high form of intelligence that demands a broad range of capabilities, including understanding existing information and news sources, reasoning under uncertainty, and making time-sensitive predictions about unfolding events," the researchers wrote. OpenAI CEO Sam Altman Concedes GPT-5 Was a Misfire, Bets on GPT-6 The Prophet Arena also enables human-AI collaboration. Users can supply additional news and context to see how predictions shift, while AI models provide detailed rationales for their forecasts. As prediction markets themselves integrate AI—Kalshi recently partnered with Elon Musk's Grok, while Polymarket generates AI-powered market summaries—Prophet Arena offers the first systematic comparison of machine forecasting against collective human judgment. And, if they get really good at it, then machines can be purely factual, with no sentiments or emotions playing a role in the decisions. They could potentially match or exceed the wisdom of crowds, changing the way institutions approach risk assessment, investment decisions, and strategic planning. The Prophet Arena platform continues updating daily as events resolve, providing an evolving picture of whether artificial intelligence can truly predict the future by connecting today's dots. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Yahoo
42 minutes ago
- Yahoo
Westaim: Q2 Earnings Snapshot
TORONTO (AP) — TORONTO (AP) — Westaim Corp. (WEDXF) on Thursday reported a loss of $233,000 in its second quarter. The Toronto-based company said it had a loss of 1 cent per share. The investment company posted revenue of $10.5 million in the period. _____ This story was generated by Automated Insights ( using data from Zacks Investment Research. Access a Zacks stock report on WEDXF at