Boeing, United, American Airlines stocks react to Air India crash
Yahoo Finance host Brad Smith tracks today's top moving stocks and biggest market stories in this Market Minute, including Boeing's (BA) negative stock reaction to the Air India crash that killed 242 people, as well as the stock moves from United Airlines (UAL) and American Airlines (AAL); both airways also fly the Boeing 787 Dreamliner.
Stay up to date on the latest market action, minute-by-minute, with Yahoo Finance's Market Minute.
It's time for Yahoo! Finance's Market Minute. Stocks mixed as investors digest data showing milder inflation pressures, as well as President Trump renewing his threats to impose take-it-or-leave-it tariffs on trading partners. Boeing shares lower after an Air India Boeing 787 Dreamliner crashed shortly after takeoff on Thursday. Local officials confirmed that more than 200 people were killed. Air India is organizing relief flights for the next of kin of those on the flight. US and British safety officials are traveling to India to support the investigation into the incident.
And we're seeing shares of American and United Airlines also lower. Both fly the 787 Dreamliner from Boeing. The FAA ordered an inspection of the jet back in 2014, after a midair dive on a LATAM flight injured more than 50 passengers in March. That's your Yahoo! Finance Market Minute. For more on what's trending, scan the QR code below to track the best and worst performing stocks in this session.
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6 minutes ago
- Yahoo
Google AI Overviews strike again following the fatal Air India crash
If you purchase an independently reviewed product or service through a link on our website, BGR may receive an affiliate commission. Google said at I/O 2025 that AI Overviews are quite popular with users, but I've always found them to be the worst kind of AI product. Google is forcing AI results on as many Google Search queries as it can just because it can. It's not because users want AI Overviews in search. The separate AI Mode is generative AI in Google Search done the right way. It's a separate tab or an intentional choice from the user to enhance their Search experience with a Gemini-powered chat. Today's Top Deals Best deals: Tech, laptops, TVs, and more sales Best Ring Video Doorbell deals Memorial Day security camera deals: Reolink's unbeatable sale has prices from $29.98 The reason I don't like the idea of AI Overviews being forced on users aggressively is their well-known problems with accuracy. We've learned the hard way that AI Overviews hallucinate badly. The glue-on-pizza incident won't be forgotten anytime soon. While Google has improved AI Overviews, the AI-powered Search results still make mistakes. The latest one concerns the fatal Air India crash from earlier this week. Some people who rushed to Google Search to find out what happened saw an AI Overview claiming that an Airbus operated by Air India crashed on Thursday, soon after takeoff. Some AI Overviews even mentioned the type of plane, an Airbus A330-243. In reality, it was a Boeing 787. I've said more than once that Google should abandon AI Overviews. The glue-on-pizza hallucinations were one thing. They were funny. Most people probably realized the AI made a mistake. But this week's hallucination is different. It spreads incorrect information about a tragic event, and that can have serious consequences. The last thing we want from genAI products is to be misled by fake news. AI Overviews do exactly that when they hallucinate. It doesn't matter if these issues are rare. One mistake like the one involving the Air India crash is enough to cause harm. Google is showing It was an Airbus aircraft that crushed today in India. how is this being allowed? byu/Economy_Shallot_9166 inartificial This isn't just about Google's reputation. Airbus could be directly impacted. Imagine investors or travelers making decisions based on that search result. Sure, they could seek out real news sources. But not everyone will bother to verify the snippet at the top of the page. Google's disclaimer that 'AI responses may include mistakes' isn't enough. Not everyone notices, or even reads, that fine print. At least Google corrected this hallucination and gave Ars Technica the following statement: As with all Search features, we rigorously make improvements and use examples like this to update our systems. This response is no longer showing. We maintain a high quality bar with all Search features, and the accuracy rate for AI Overviews is on par with other features like Featured Snippets. I'll also point out that not all AI Overviews may have listed Airbus as the crashed plane. Results can vary depending on what you ask and how you phrase it. Some users might have gotten the correct answer on the first try. We don't know how many times the Airbus detail appeared by mistake. AI Overviews might make similar mistakes on topics beyond tragic news events. We have no way of knowing how often they hallucinate, no matter what Google says about accuracy. If you've been following AI developments over the past few years, you probably have a sense of why these hallucinations happen. The AI doesn't think like a human. It might combine details from reports that mention both Airbus and Boeing, then get the facts mixed up. And it's not just AI Overviews. We've seen other genAI tools hallucinate too. Research has even shown that the most advanced ChatGPT models hallucinate more than earlier ones. That's why I always argue with ChatGPT when it fails to give me sources for its claims. But here's the big difference. You can't opt out of AI Overviews. Google has pushed this AI search experience on everyone without first ensuring the AI doesn't hallucinate. AI Mode, by contrast, is a much better use of AI in Search. It can genuinely improve the experience. I'll also add that instead of talking about AI Overviews and their hallucinations, I could be praising a different AI initiative from Google. DeepMind is using AI to predict hurricane forecasts, which could be incredibly helpful. But here we are, focusing on AI Overviews and their errors, because misleading users with AI is a serious problem. Hallucination remains an AI safety issue that nobody has solved yet. Don't Miss: Today's deals: Nintendo Switch games, $5 smart plugs, $150 Vizio soundbar, $100 Beats Pill speaker, more More Top Deals Amazon gift card deals, offers & coupons 2025: Get $2,000+ free See the
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an hour ago
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Meet the Briton who helped teach Alexa how to talk
British AI entrepreneur William Tunstall-Pedoe has always been 'motivated by impact'. He started pushing the boundaries on what's possible with machines as a 13-year-old schoolboy, while Tunstall-Pedoe secretly helped create and launch Amazon's (AMZN) Alexa over a decade ago. In between, his anagram technology was used by author Dan Brown for the Da Vinci Code and he even identified the most boring date in history. The first keyboard seeds were sown at Dundee High School in Scotland where he was able to venture to the technical college next door before classes and during breaks to write computer software on its mainframe. There were financial rewards, too. His computer science teacher, Michael Ryan, had a software business which sold by mail order. However there was no taking advantage of the pupils, says Tunstall-Pedoe, with very generous royalties and a decent income on offer. Read More: Meet Britain's 'king of billboards' who sold his business for £1bn 'I kind of very arrogantly set out to try and solve this problem of using language to control machines,' he tells Yahoo Finance UK, 'to automatically answer questions, change the user experience you have when you interact with search engines, when you interact with computer software, and kind of invented some technology to tackle that.' It is 20 years since he started his search and voice recognition company True Knowledge, later called Evi Technologies. Tunstall-Pedoe charts the company as a "10-year adventure", seven as a venture-backed independent start-up before being sold to Amazon in 2012 for a reported £21m and its CEO staying on for over three years. 'When we launched, we were trying to solve the problem of basically using computers by speaking to them or with language,' he recalls. 'When you look at science fiction I watched as a child, Star Trek or Blake's 7, all the computers you just have a chat to. It understands you and is the most natural interface. This is how we interact with people. 'But when you used a computer back then, you select from a menu, click a button or you guess keywords and browse links that come back from the keyword search. So we were tackling the problem of how to use language to interact with machines, which of course is incredibly topical now because large language models (LLMs) have essentially cracked that. But we were doing this way back.' In the mid 2000s, Tunstall-Pedoe would demo his software on conversational search and recalls being told by Google (GOOG) that not only was this a worse customer experience but that keyword search was infinitely better. 'That's definitely not the case now,' says Tunstall-Pedoe, who lives in London and Cambridge, the latter a 'crazy converted church' where Spitting Image was also created. Read More: 'Why we set up a sustainable mobile operator to save people money' Evi pivoted several times as a start-up, from a search engine that answered questions to producing a voice assistant, launching at the same time as Apple's Siri. The 30-strong Cambridge outfit had multiple acquisition offers before working on a secret project for Amazon, now known as Alexa, which went to market in late 2014. He later spent a period as an angel investor backing over 100 tech start-ups before his latest venture, Unlikely AI, came into focus. The British venture, which raised nearly £15m following a seed round in 2023, is currently developing technology that combines LLMs with symbolic methods to make AI safer for companies in sectors such as healthcare to provide verifiable insights. 'How do you enable systems built with modern AI to be fully explainable, auditable, not get you into trouble with regulators, and not lead you to making business decisions that cost you lots of money?' says Tunstall-Pedoe. 'We're tackling some of the biggest problems in AI, which is how to make it completely trustworthy and how to ensure the answer is always accurate.' With the advent of ChatGPT, the inventor has admitted that most companies aren't succeeding when it comes to implementing LLMs, which learns to predict the next word, into workflows. He says: 'If you're making a business decision based on the result of an LLM and your private data, and it gives you a wrong answer, that can be really expensive financially and to your brand. If you're in a regulated industry it can get you fined. You can even get the CEO in jail in extreme cases if you break regulation really badly and this is a fundamental problem.' Read More: We sold a hand cream every 36 seconds after appearing on This Morning Thus Unlikely AI, he adds, was born to not only earn trust but to solve complex issues with its deep learning software. 'That means making it accurate, so when it gives you a result, you can trust it,' says Tunstall-Pedoe. 'Sometimes it may tell you it doesn't know rather than guess and it also means explainability and auditability, to fully explain in a very clear way how the result was created. 'Ultimately, it's also about the customer or business being in control and that's the kind of experience that we're shooting for. We're still relatively early, but we're looking to be very successful and become a very big company.' How I identified the most boring day I built this huge database of millions of facts about the world, where the system could make sense and reason with them. I thought it would be interesting to do an analysis of all the facts that the system knew, and in particular with the goal of finding what the least interesting date in history was — 11 April 1954. The story went so viral that it got told and retold and it's had new life ever since. There was a play in Germany that was kind of themed on it and all sorts of crazy things that have happened as a result of that. Entrepreneurship One of the things I love is that you can have a very significant impact as an individual if you've got an idea and you pursue it. If you build a software product that does something valuable and different, it can scale like no other product can. You can have 100 million users within a couple of months if you create a really successful piece of software, which is kind of almost impossible in almost any other industry. That's what's exciting about it, that potential for big impact if you're developing technology in the software world that really hits home. 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