AI in Trucks Is Worth a Shot
My grandmother struggled to relearn to walk, write and speak normally. As a small child I cherished every moment I spent with her, but because we lived in Boston, miles away from their Ohio farm, they were never able to visit again.
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Forbes
21 minutes ago
- Forbes
Meta And OpenAI's Talent Wars: How AI Mints Elites But Displaces Others
The Meta AI logo is displayed on a mobile phone with the Meta logo visible on a tablet in this photo ... More illustration in Brussels, Belgium, on January 26, 2025. (Photo by Jonathan Raa/NurPhoto via Getty Images) The AI talent war has escalated into a white-hot race. After Meta's poaching spree, OpenAI hired Tesla's former VP of software engineering David Lau and xAI's infrastructure architects Uday Ruddarraju and Mike Dalton, who built xAI's 200,000-GPU Colossus supercomputer. With Meta deploying recruits to its Superintelligence Lab and hiring Apple's Foundation Models lead Ruoming Pang with over $200 million package, elite talent and computing power have become existential currencies. This fierce competition means a dichotomy of AI's impact on the workforce. While companies dangle nine-figure salaries for top AI talents, mass layoffs may continue across the tech industry. Impacted roles not only include human resources and customer service, but increasingly software development and middle-level management positions. Talent Wars: History Reverberates This AI hiring frenzy mirrors Microsoft and Google's intense 'war for talent' in the 2000s, triggered by Google's disruptive rise. Google's focus on the internet's transformative potential lured some of the brightest engineers, forcing Microsoft to overhaul hiring and retention strategies. In 2005, when Microsoft sued Google after executive Kai-Fu Lee departed Microsoft to join Google, symbolizing the battle for technical visionaries and Google's aggressive recruitment tactics. Beyond talent, Microsoft and Google clashed directly in web technologies. While Microsoft dominated browsers with Internet Explorer, Google's superior page rank algorithm made it the search leader. Crucially, Microsoft's early search project Keywords was shut down over revenue-cannibalization fears, ceding the ad-search market to Google. This reflected a broader contrast, Google's simplicity and teamwork efficiency in its user interface such as Google Docs and appealed to evolving users, while Microsoft's complex legacy interfaces struggled against the web's disruptive momentum. But today, Google Chrome and Google search face unprecedented challenges from OpenAI as the latter announced the release of its own browser soon. The Scarcity of Top AI Talent Competition centers on specialized AI researchers from elite PhD programs with machine learning backgrounds and veterans who already spearheaded key innovations in top companies. Meta's recruitment of Scale AI founder Alexandre Wang and a dozen of OpenAI and Deepmind veterans crystalizes the trend, signaling heavy investment in future AI directions: advanced reasoning (hiring OpenAI's Hongyu Ren), multimodal systems (hiring OpenAI's Huiwen Chang and DeepMind's Jack Rae), LLM infrastructure, and AI agents (hiring OpenAI's Trapit Bansal). Perhaps no more than a few hundreds of AI top talents worldwide possess this caliber of expertise, a scarcity inflating salaries to star levels while reducing the job prospect of software engineers whose programming skills can be automated. Alumni from OpenAI, Meta, and DeepMind, including Ilya Sutskever (founder of Safe Superintelligence), Mira Murati and Lilian Weng (founders of Thinking Machines Lab), fuel new ventures, but cash-rich giants destabilize them through financial overpowering. Paradoxically, this talent churn risks homogenizing core AI technologies as ideas circulate within a tightly knit talent web. Sustainable breakthroughs now depend on defining new problem frontiers, and developing new AI applications with built in domain expertise ranging from medicine, science, finance, law, coding, marketing and sales, and not refining existing models. For instance, the biomedicine AI start-up Arc Institute is designing a machine learning model trained on DNA of 100,000 species to identify disease-causing genome mutations and to assist new drug discovery. The Layoff Paradox While tech giants court AI stars, the industry has cut more than 150,000 jobs since 2023. Microsoft's 9,100 engineer-targeted cuts and Intel's planned 20% reduction contrast with the industry's $40billion+ in AI investments this year. As Nvidia CEO Jensen Huang acknowledges, AI now automates coding, analysis, and strategy, erasing roles these companies once prized. The World Economic Forum's 2025 Job Report projects 92 million job displacements versus 170 million new roles, demanding the workforce's urgent adaptation to automated technologies. Growth sectors will prioritize physical labor (construction), emotional intelligence (elderly care), robotics (physical intelligence), and sustainability, fields where AI complements rather than replaces humans. Notably, technological literacy and creative resilience will outpace coding skills in value by 2030. Universities must prepare students by updating the computer science curricula to focus on deep learning, reinforcement learning, multimodal AI and AI infrastructure design, among other skills in demand on the tech job market. We face extraordinary challenges of a bifurcated future, echoing early internet talent wars with exponentially higher stakes. As elite researchers command overflowing compensation, mid-career technologists confront obsolescence. Companies racing toward AGI must answer a moral question: Can we reskill populations at AI's disruptive pace, or will displacement ignite social upheaval? The answer will define our century more profoundly than any model.
TechCrunch
32 minutes ago
- TechCrunch
xAI and Grok apologize for ‘horrific behavior'
In a series of posts on X, the AI chatbot Grok apologized for what it admitted was 'horrific behavior.' The posts appear to be an official statement from xAI, the Elon Musk-led company behind Grok, as opposed to an AI-generated explanation for Grok's posts. (xAI recently acquired X, where Grok is prominently featured.) Grok's latest controversy comes after Musk had indicated he wanted to make the chatbot less 'politically correct,' then declared on July 4 that the company had 'improved @Grok significantly.' In short order, the chatbot was making posts criticizing Democrats and Hollywood's 'Jewish executives,' repeating antisemitic memes, and even expressing support for Adolf Hitler and referring to itself as 'MechaHitler.' As a result, xAI deleted some of Grok's posts, temporarily took the chatbot offline, and updated its public system prompts. Turkey also banned the chatbot for insulting the country's president, and X CEO Linda Yaccarino even announced that she was stepping down this week, although her announcement did not reference the latest Grok controversy and her departure was reportedly months in the making. So after all that, on Saturday, xAI said, 'First off, we deeply apologize for the horrific behavior that many experienced.' The company then blamed an 'update to a code path upstream of the @grok bot,' which it emphasized was 'independent of the underlying language model that powers @grok.' This update supposedly made Grok 'susceptible to existing X user posts; including when such posts contained extremist views.' Techcrunch event Save up to $475 on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Save $450 on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Boston, MA | REGISTER NOW xAI added that an 'unintended action' had led to Grok receiving instructions such as, 'You tell like it is and you are not afraid to offend people who are politically correct.' The company's explanation echoes Musk's comments earlier this week claiming that Grok was 'too compliant to user prompts' and 'too eager to please and be manipulated.' xAI's posts do not mention reporting by TechCrunch and others who examined the chain-of-thought summaries for the just-launched Grok 4, finding that the latest version of the chatbot seems to consult Musk's viewpoints and social media posts before addressing controversial topics. And historian Angus Johnston pushed back against the idea that Grok was simply manipulated into posting offensive content. He wrote on Bluesky that xAI and Musk's explanations are 'easily falsified.' 'One of the most widely shared examples of Grok antisemitism was initiated by Grok with no previous bigoted posting in the thread — and with multiple users pushing back against Grok to no avail,' Johnston said. In recent months, Grok has also posted repeatedly about 'white genocide,' expressed skepticism about the death toll of the Holocaust, and briefly censored unflattering facts about Musk and his then-ally Donald Trump. In those cases, xAI blamed 'unauthorized' changes and rogue employees. Despite the controversy, Musk says Grok is coming to Tesla vehicles next week.
Yahoo
33 minutes ago
- Yahoo
History Says These 3 Stocks Could Be Big Winners in the Second Half
Nvidia, Advanced Micro Devices, and Tesla have all been phenomenal growth stocks to own over the years. They have averaged second-half returns of more than 30% over the past 10 years. 10 stocks we like better than Nvidia › The S&P 500 is trading at around record levels, and so too are many stocks. But that doesn't mean that valuations can't continue to go higher. Companies are continuing to post strong results. As long as that's the case, there may still be plenty of bullishness in the markets for the foreseeable future. There are, however, some stocks that may be more likely to rise in the second half than others. Three stocks that have historically done well in the latter part of the year are Nvidia (NASDAQ: NVDA), Advanced Micro Devices (NASDAQ: AMD), and Tesla (NASDAQ: TSLA). Here's a rundown of how they've done over the past 10 years, and whether they are good buys today. Chipmaker Nvidia has been an astounding investment to own over the years. Its chips are in high demand as companies invest in artificial intelligence (AI) and seek out strong compute power. Nvidia recently hit a $4 trillion valuation, and as of last week's close, it was up 23% since the start of the year. In eight of the past 10 years, Nvidia has generated positive returns in the second half (the only exceptions being 2022 and 2018). And it has averaged a second-half return of 33%. If it rallies that much, its market cap will hit more than $5 trillion. The second half will indeed be a big test for Nvidia, to see whether its growth will remain robust despite tariffs and global trade wars potentially affecting its operations. If it can still deliver strong results, it may not be unreasonable to expect it to do well in the second half. But it won't be easy. Export restrictions in China, for example, have cut Nvidia's market share in that market nearly in half. The AI stock is trading at 38 times its estimated future earnings (based on analyst expectations). That's a bit expensive, but if trade worries ease, then it may not be a surprise to see Nvidia deliver strong second-half results and for its share price to rally higher. But regardless of how it performs in the second half, this can still make for a phenomenal stock to own for the long term. Nvidia rival Advanced Micro Devices, also known as AMD, is another stock that's traditionally done well in the second half of the year. It has generated a positive return in the latter part of the year in seven of the past 10 years. And its average second-half return over that stretch has been 31%. AMD is up a similar amount to Nvidia this year (21%). For it to continue to do well in the months ahead, it'll need to show that its chips are indeed up to par with Nvidia's. OpenAI CEO Sam Altman has been excited about the company's new MI400 chips and will be a buyer of them, but they won't ship until next year. The big test is how strong the demand will be for AMD's existing lineup of products. The company's growth rate has been encouraging in its most recent quarter (which ended on March 29), where sales rose by 36% to $7.4 billion. Continued strong results such as that could make AMD a hot buy in the near future. Like Nvidia, it also isn't a terribly cheap stock as it trades at a forward price-to-earnings (P/E) multiple of 39. However, with AI potentially driving significant growth in the foreseeable future, it may not be too late to invest in this excisitng growth stock. Tesla has been a polarizing stock to own, and it's not just this year. The second half has been a bit of a hit or miss as over the past 10 years, five times it has produced positive returns in the latter part of the year, and five times, it has experienced a decline. But with an average gain of around 40%, when Tesla does well, it typically does very well. In the second half of last year, its shares more than doubled in value. In 2020, they soared by over 226%. And a case could be made that Tesla may be due for a bounce back in the second half. Shares of the electric vehicle maker are down more than 20% this year as CEO Elon Musk's political involvement with the Department of Government Efficiency proved to be controversial and weighed on the stock. If Musk can stay on task and avoid ruffling feathers in the second half, Tesla may be poised for a rally. It will, however, still need to show some signs that its business is moving in the right direction. Its vehicle deliveries in the second quarter were down by 14% year over year. And through the first three months of the year, sales were down by 9% and net income cratered by 71%, to just $409 million. Tesla is a bit of a riskier stock to buy these days, and I'd hold off until its latest round of earnings before making a decision on it. And that's because at a forward P/E of more than 160, the stock is priced at a hard-to-swallow valuation right now. 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 $671,477!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,010,880!* Now, it's worth noting Stock Advisor's total average return is 1,047% — a market-crushing outperformance compared to 180% 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 July 7, 2025 inappropriateDavid Jagielski has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, Nvidia, and Tesla. The Motley Fool has a disclosure policy. History Says These 3 Stocks Could Be Big Winners in the Second Half was originally published by The Motley Fool Sign in to access your portfolio
