And... that's all we know about them. The company is following up its now
Nothing is making over-ears.
extensive range of earbuds with bigger headphones coming this summer. 'I think they're better than AirPods Max,' says Nothing designer Tom Ridley as he and the design team tease what to expect while critiquing the competition, but we'll have to wait to learn more than that.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Entrepreneur
43 minutes ago
- Entrepreneur
Mistral Launches Magistral to Compete in the Reasoning AI Race
While Magistral puts Mistral in closer competition with well-known reasoning AI models, there are still doubts across the industry about how well current LLMs can actually "reason" Opinions expressed by Entrepreneur contributors are their own. You're reading Entrepreneur India, an international franchise of Entrepreneur Media. French artificial intelligence firm Mistral has announced the release of its latest large language model (LLM), Magistral, marking its entry into the growing space of "reasoning" AI models. The new model aims to improve the transparency and traceability of AI-generated outputs, particularly in tasks that require step-by-step logical processing. Unveiled on Tuesday during London Tech Week, Magistral is available through Mistral's platforms and the open-source AI repository Hugging Face. The company has released two versions of the model: Magistral Small, a 24-billion-parameter model licensed as open-source, and a more powerful, proprietary version, Magistral Medium, currently available in limited preview. Mistral describes Magistral as suitable for general-purpose use cases that involve more complex reasoning and demand greater accuracy. The model is designed to provide a visible "chain of thought," which the company says helps users understand how conclusions are reached. This feature may appeal to professionals in law, healthcare, finance, and public services where regulatory compliance and interpretability are key concerns. According to CEO Arthur Mensch, a key distinction of Magistral is its multilingual reasoning capability, especially in European languages. "Historically, we've seen U.S. models reason in English and Chinese models reason in Chinese," he said during a session at London Tech Week. Mensch noted that Magistral is initially focused on European languages, with plans to expand support to other languages over time. The launch comes as more AI companies shift their focus from building larger models to improving how existing models process and present information. Reasoning models are designed to handle more sophisticated tasks by simulating logical steps, rather than generating answers based solely on pattern recognition. This shift also responds to ongoing concerns about the interpretability of AI systems, which often function as black boxes even to their creators. Mistral claims that Magistral Medium can process up to 1,000 tokens per second, potentially offering faster performance than several competing models. It joins a growing list of reasoning-focused models released over the past year, including OpenAI's o1 and o3, Google's Gemini variants, Anthropic's Claude, and DeepSeek's R1. The release also highlights Mistral's continuing emphasis on open-source AI development. The company, founded in Paris in 2023, has received significant backing from investors including Microsoft, DST Global, and General Catalyst. It raised approximately USD 685.7 million million in a Series B round in June 2024, bringing total funding to over USD 1.37 billion and reaching a reported valuation of USD 6.63 billion. Despite its relatively short history, Mistral has seen considerable commercial traction. As per the media reports, the company has secured over USD 114.3 million in contracted sales within 15 months of launching its first commercial offerings. While Magistral puts Mistral in closer competition with well-known reasoning AI models, there are still doubts across the industry about how well current large language models (LLMs) can actually "reason." A recent research paper from Apple, titled The Illusion of Thinking, questions the belief that today's models truly have general reasoning abilities. The researchers found that these models tend to struggle or fail when tasks become too complex, revealing key limitations in their capabilities.
Yahoo
an hour ago
- Yahoo
Nvidia Stock Can Vault to $220 or Plunge to $100, Based on Select Wall Street Analysts -- but Both Price Targets Completely Overlook a Key Catalyst
Artificial intelligence (AI) looks to be the most impactful innovation for corporate America since the advent and proliferation of the internet more than 30 years ago. Compelling arguments from select Wall Street analysts point to Nvidia stock climbing by up to 55% or potentially losing almost 30% of its value. All Wall Street price targets for Nvidia fail to account for a historically accurate catalyst. 10 stocks we like better than Nvidia › More than 30 years ago, the advent and proliferation of the internet kicked off the greatest leap forward in technological innovation for businesses in a long time. Though a number of next-big-thing innovations have come along since the internet revolutionized how businesses interact with consumers and sell their products and services, none have come close to matching its long-term addressable potential... until now. The rise of artificial intelligence (AI) represents the next great tech advancement that has the ability to alter the long-term growth trajectory for corporate America. Empowering software and systems with AI solutions to make decisions without human intervention gives this technology a jaw-dropping addressable market, which the analysts at PwC have pegged at $15.7 trillion (globally) by 2030. Although a long list of companies has benefited from Wall Street's hottest trend, it's semiconductor titan Nvidia (NASDAQ: NVDA) that's become the face of the AI revolution. As is often the case with businesses on the leading edge of a game-changing innovation, predictions are all over the map. Whereas one Wall Street analyst foresees the most pivotal of all tech stocks soaring to $220 per share, another believes it'll plummet to just $100 per share. Yet what's most interesting is that Wall Street's high- and low-water price targets both completely overlook what can arguably be described as the biggest catalyst for Nvidia. Make no mistake about it, the overwhelming majority of Wall Street analysts and investors believe Nvidia stock is headed higher. But none of these price projections speaks louder than analyst Ivan Feinseth at Tigress Financial, who foresees Nvidia shares adding 55% and heading to $220. If Feinseth is accurate, Nvidia's market cap would near $5.4 trillion. For context, Nvidia had a market valuation of $360 billion when 2023 began. Feinseth's Street-high price target is predicated on sustained strong demand for Nvidia's graphics processing units (GPUs). The Hopper (H100) and successor Blackwell GPUs account for the lion's share of the GPUs currently deployed in AI-accelerated data centers, and demand for this hardware hasn't shown any signs of slowing. As a general rule, when the demand for a good or service outstrips its supply, the price of said good or service is going to climb until demand tapers off. In Nvidia's case, its GPU orders are backlogged, which has allowed the company to charge a healthy premium for its hardware, relative to its direct external competitors. The end result has been a significant uptick in the company's gross margin, compared to prior to the AI revolution taking shape. Feinseth's $220 price target, which was issued in late January, came after a short-lived plunge in Nvidia stock caused by the debut of China-based DeepSeek's R1 large language model (LLM) chatbot. DeepSeek is alleged to have used slower and less-costly hardware from Nvidia to develop its LLM. Feinseth's lofty price target demonstrates confidence that Nvidia will be able to maintain its superior pricing power. On the other end of the spectrum is Seaport Global Investors analyst Jay Goldberg. In late April, Goldberg became the only analyst covering Nvidia to rate its stock as a "sell," and initiated a $100 price target. Based on where Nvidia shares ended the session on June 6, Goldberg's price target intimates a decline of almost 30%. Goldberg doesn't foresee Wall Street's AI darling losing its leading position as the preferred company powering AI-accelerated data centers. But he does believe that AI optimism is fully priced into Nvidia stock given a few variables. To begin with, Goldberg notes that many of Nvidia's top customers by net sales are internally developing AI-GPUs and solutions of their own. Even though these chips won't represent external competition for Hopper, Blackwell, or any successor GPUs, they're going to be notably cheaper and more readily accessible than Nvidia's premium-priced and backlogged hardware. This is potentially problematic to Nvidia landing new orders from its current top customers. Goldberg also believes that enterprise customers will branch out and purchase from other hardware providers. For instance, Advanced Micro Devices' less-costly Instinct MI300X series GPUs, as well as Broadcom's custom AI-accelerating chips, could siphon away some of Nvidia's monopoly like data center market share over time. With enterprise spending on AI-data center infrastructure expected to slow in 2026, per Goldberg, Nvidia stock is currently pricey. While Feinseth and Goldberg both make compelling cases, their arguments -- along with the dozens of other analysts and institutions that have placed a price target on shares of Nvidia stock -- completely overlook a historical catalyst associated with next-big-thing trends and innovations. Though the internet proved to be a game-changing technology, it wasn't a universal winner from the get-go. It took years for businesses to figure out how to optimize their marketing and sales to consumers and other businesses. In other words, it took time for the internet to mature as a mainstream innovation. Since the advent of the internet, we've witnessed a number of other high-profile trends, technologies, and innovations come along that have also endured an early stage bubble-bursting event. This includes (but isn't limited to) genome decoding, business-to-business commerce, nanotechnology, 3D printing, cannabis, blockchain technology, and the metaverse. For more than 30 years, investors have consistently overestimated the timeline to mainstream adoption and/or utility for game-changing innovations. In short, investors aren't giving these hyped trends the proper time or channels to mature. Although Nvidia's sales have skyrocketed from $27 billion to more than $130 billion between fiscal 2023 and fiscal 2025 (its fiscal year ends in late January), most businesses are nowhere close to optimizing their AI solutions as of yet, or even generating a positive return on their AI infrastructure investments. This points to the growing likelihood of an AI bubble forming and, at some point, bursting. To be objective, this doesn't mean Nvidia won't be a long-term winner. The proliferation of the internet eventually sent the stock market soaring. While Feinseth's price target may not be achievable in the near-term, it's certainly within the realm of possibilities as businesses learn how to properly utilize AI solutions and generate a profit from their aggressive AI investments. But this historical correlation between next-big-thing trends and bubble-bursting events also suggests Goldberg is likelier to be right in the coming quarters -- albeit not for the reasons put forth in his research note in late April. Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Nvidia wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $660,341!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $874,192!* Now, it's worth noting Stock Advisor's total average return is 999% — a market-crushing outperformance compared to 173% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 9, 2025 Sean Williams has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices and Nvidia. The Motley Fool recommends Broadcom. The Motley Fool has a disclosure policy. Nvidia Stock Can Vault to $220 or Plunge to $100, Based on Select Wall Street Analysts -- but Both Price Targets Completely Overlook a Key Catalyst was originally published by The Motley Fool
Yahoo
an hour ago
- Yahoo
Helen Skelton reveals she feels 'lucky' to be with Gethin Jones on Morning Live
Cumbria's Helen Skelton has revealed the importance of working with a crew that 'really clicks'. Currently presenting the BBC's flagship morning programme, This Morning, Helen has been a mainstay on our screens for some time. The 41-year-old mum of three regularly updates viewers and readers on how she stays happy and how she juggles home and professional life. We've had lots of new arrivals on the farm over the last few days - one of them being this adorable American Miniature Horse, pictured with mum Pearl! Watch as Farmer Rob checked in on them yesterday: — Cannon Hall Farm (@CannonHallFarm) May 29, 2025 "I've done this job for a long time and I feel very lucky that every now and again you land on a group of people and a crew that really clicks," Helen tells HELLO! "Michelle [Ackerley] and Gethin [Jones] and I have all been friends for years and years. Gethin and I crossed over a lot at Blue Peter, so we've got a lot of the same reference points. "Michelle and I used to flat share back in London so people say, 'You've got a natural chemistry', but we have known each other since we were in our twenties, starting out in telly. "If you have to go to work and you like what you do and you do it with people that are like an extension of your family, then you're very lucky and I definitely feel like that at Morning Live," she adds. Recommended reading: Helen Skelton taking 'one day at a time' after 'finally finding happiness' Nationwide customers could receive free £759 savings boost thanks to deal Corrie fans believe 'iconic' Liz McDonald set to replace Eileen Grimshaw "My mum has always told me you get out of life what you put in, and if you want to have a nice house and a nice car, you've got to work hard and earn the money for it. "And if you want to have a good relationship with your kids, then you've got to invest in them and make sure they know that they're the priority," Helen says of her approach to parenting her brood. "That's always what's been instilled in me, and that's how I approach my mum space. I hate to admit it, but the older I get, the more I realise [my mum] knows what she's on about."
