Author: Advanced AI Editor

Meta is partnering with the US government to deploy Llama AI. A spokesperson for the social media giant insisted Mark Zuckerberg’s firm will not profit from the use of its language models by government agencies. This commitment aligns with Meta’s stated mission of making AI technology more accessible and beneficial to public institutions.“We’ve partnered with the US State Department to see how Llama could help address different challenges, from expanding access to safe water and reliable electricity, to helping support small businesses…been in touch with the Department of Education to learn how Llama could help make the financial aid process…

Big quote: We’ve heard plenty of warnings from CEOs about how generative AI will wipe out swathes of jobs, but these predictions are even more ominous when they come from Sam Altman. The OpenAI CEO said during his trip to Washington that the technology could erase entire job categories, with customer support roles the most at risk. Speaking at the Capital Framework for Large Banks conference at the Federal Reserve Board of Governors, Altman addressed one of the most hotly debated issues around generative AI: its impact on jobs. Altman said that while “no one knows what happens next,” he…

IBM (IBM) is down 7.6% today despite reporting some solid headline numbers. Revenue of $16.98 billion beat the $16.59 billion consensus, adjusted EPS of $2.8 cleared the $2.65 estimate, and full-year free-cash-flow guidance was nudged north of $13.5 billion. Despite that, IBM stock still fell. This is mainly due to IBM’s software segment, where sales of $7.39 billion came in about $40 million lower vs. expectations. It also showed that organic software revenue growth has decelerated to 5% from 8% in Q4. The market’s reaction feels harsh until you remember that IBM stock was up over 53% in one year…

Photo: Electrified Thermal Solutions MIT spinout Electrified Thermal Solutions has inked a deal with HWI, a member of Calderys and one of the biggest refractory suppliers in the US, to make electrically conductive firebricks – electric bricks, or E-bricks – that store and deliver extreme heat using renewable electricity. The innovative partnership is all about scaling up Electrified Thermal’s Joule Hive Thermal Battery, which conducts clean power and stores it as heat up to a scorching 1,800C (3,275F). That’s hot enough to drive even the most energy-hungry industrial processes like steelmaking, glass, or cement production. The E-bricks enable factories to ditch…

The automotive industry is undergoing a major shift as leading automakers are increasingly becoming AI-driven businesses. These automakers are leveraging AI across the entire value chain — optimizing logistics, personalizing in-car experiences, and advancing autonomous driving. Design teams use generative models to prototype more quickly, while smart factories deploy AI-powered robots to automate complex assembly processes. We analyzed the AI strategies of the 20 largest global automakers by market cap to identify who is winning the race for AI-powered vehicles and factories. Based on our analysis, we reveal 3 critical insights shaping the future of automotive AI: AI leaders deploy…

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Even generative AI critics and detractors have to admit the technology is great for something: transcription. If you’ve joined a meeting on Zoom, Microsoft Teams, Google Meet or other video call platform of your choice at any point in the last year or so, you’ve likely noticed an increased number of AI notetakers joining the conference call as well. Indeed, not only do these platforms all have AI transcription features built in, but there…

Intel CEO Lip-Bau is making progress on his plan for the company to shed its inefficiencies. And that includes spiking several manufacturing projects. The semiconductor giant reported Thursday in its second-quarter earnings report that it will delay, and in some cases, not move forward with multiple manufacturing projects. Specifically, Intel said it was no longer going forward with its previously-announced projects in Germany and Poland. Those projects included an assembly and testing facility in Poland and a chip factory in Germany. Both projects have been sitting in limbo since being suspended in 2024, shortly after being announced. The company also…

AI gets a lot of attention for eliminating human jobs, but more and more it is also creating them.The number of job postings that mention artificial intelligence has climbed in recent years as employers seek workers versed in AI, a recent report from the Brookings Institution shows, In the last year alone, AI-themed job postings increased by over 100%, the Washington, D.C.-based think tank found.AI-related job postings have grown at an average annual rate of nearly 29% over the last 15 years — that outstrips the 11% rate of postings in the general economy, said Brookings, which based its findings on data…

But unlike the Gemini incident where the AI model confabulated phantom directories, Replit’s failures took a different form. According to Lemkin, the AI began fabricating data to hide its errors. His initial enthusiasm deteriorated when Replit generated incorrect outputs and produced fake data and false test results instead of proper error messages. “It kept covering up bugs and issues by creating fake data, fake reports, and worse of all, lying about our unit test,” Lemkin wrote. In a video posted to LinkedIn, Lemkin detailed how Replit created a database filled with 4,000 fictional people. The AI model also repeatedly violated…

Cold start in recommendation systems goes beyond just new user or new item problems—it’s the complete absence of personalized signals at launch. When someone first arrives, or when fresh content appears, there’s no behavioral history to tell the engine what they care about, so everyone ends up in broad generic segments. That not only dampens click-through and conversion rates, it can drive users away before a system ever gets a chance to learn their tastes. Standard remedies—collaborative filtering, matrix factorization, or popularity lists—lack the nuance to bridge that signal gap, and their one-size-fits-all suggestions quickly feel stale. Imagine, instead, if…