CREANGEL LTDA

Major tech companies are seeing AI drive significant revenue growth while requiring massive investments. #Microsoft, #Google, and #Meta have reported increased cloud revenue and user engagement from #AI services, but face mounting costs. The expenses stem from three main areas: developing larger language models (with training costs potentially reaching $10 billion by 2026), purchasing expensive #GPU chips (particularly Nvidia's #H100), and building massive data centers. Companies are also investing heavily in data licensing deals and competing for #AI talent. While some companies are exploring smaller AI models, the industry largely believes bigger models yield better results. #AI_Infrastructure_Investment #Cloud_Computing_Revenue #Data_Center_Expansion #GPU_Technology #AI_Talent_Acquisition #Enterprise_AI_Solutions #TechCapitalExpenditure #AIModelDevelopment #CloudServices #DigitalTransformation #AIInfrastructure #MachineLearningOperations #TechIndustryGrowth #AIBusinessStrategy #Enterprise_Technology https://lnkd.in/eQFRH9AJ

#Amazon’s #Alexa, initially a hit with its hands-free assistance, has faced challenges in integrating #AI to compete with #ChatGPT. Despite initial optimism, technical difficulties have pushed back the release of the updated voice assistant, with the target deadline now set for 2025. Amazon’s strategy of expanding Alexa into various hardware devices has created complexity and hindered the development of a unified AI-powered #Alexa. https://lnkd.in/eh6cD5Yr

#Arm #CEO Rene Haas predicts #AI will transform the world faster than the #internet, with drug research and autonomous vehicles being key areas of impact. Despite challenges in the car industry, Haas remains optimistic about the future of Arm’s chip business, with a focus on energy efficiency and geopolitical considerations. Haas also shares his reading and listening habits, including history books and podcasts on business and decision-making. https://lnkd.in/d93h5VGt

#OpenAI has introduced new search features for #ChatGPT, allowing users to access timely information with links to relevant web sources. This move aims to compete with #Google, which has also integrated #AI-generated answers into its search engine. Despite the similarities, #OpenAI claims its user base is growing. https://lnkd.in/eemQeVia

Another way #Microsoft is managing things is by turning away training workloads. "We're not actually selling raw #GPUs for other people to train," #Nadella said. "In fact, that's sort of a business we turn away because we have so much demand on inference" to power the various #Copilots and other #AI services. https://lnkd.in/eR9NcQR4

#Cloud #repatriation is becoming a trend, with organizations bringing specific workloads back on-premises due to #cost overruns, #performance issues, and #security concerns. Larger organizations are more likely to repatriate workloads, while smaller businesses tend to stay in the #cloud. https://lnkd.in/eJSqANTv

There's a literal #shitshow erupting in #Moscow, where a skyscraper-high plume of #sewage has erupted in the #Russia capital, just months after #Ukrainian hackers hit related systems. Several Russian #Telegram channels spilled news of the gut-wrenching geyser this morning, which erupted in the Kommunarka region of #Moscow. Video of the explosion shows a tower of suspicious brown liquid shooting up higher than nearby buildings, presumably blanketing the area in less-than-fresh scents.  https://lnkd.in/eUtjxGyN

A Google engineer presented a proposal to the official standardization committee that would split JavaScript into two languages, a core to be implemented by runtime engines and a more capable variant which depends on tools that compile it down to that core. The presentation was at a meeting of Emca TC39 earlier this month, TC39 [https://tc39.es] being the committee of Ecma International that evolves the JavaScript (officially ECMAScript) specifiation. https://lnkd.in/eJuSgevV

AI Detectors Falsely Accuse Students of Cheating—With Big Consequences. About two-thirds of teachers report regularly using tools for detecting AI-generated content. At that scale, even tiny error rates can add up quickly. After taking some time off from college early in the pandemic to start a family, Moira Olmsted was eager to return to school. For months, she juggled a full-time job and a toddler to save up for a self-paced program that allowed her to learn remotely. Seven months pregnant with her second child, Olmsted enrolled in online courses at Central Methodist University in 2023, studying to become a teacher. Just weeks into the fall semester, Olmsted submitted a written assignment in a required class—one of three reading summaries she had to do each week. Soon after, she received her grade: zero. When she approached her professor, Olmsted said she was told that an AI detection tool had determined her work was likely generated by artificial intelligence. In fact, the teacher said, her writing had been flagged at least once before. For Olmsted, now 24, the accusation was a “punch in the gut.” It was also a threat to her standing at the university. “It’s just kind of like, oh my gosh, this is what works for us right now—and it could be taken away for something I didn’t do,” she says. https://lnkd.in/dbVREuky

Former #OpenAI Researcher Says the Company Broke Copyright Law Suchir Balaji helped gather and organize the enormous amounts of internet data used to train the startup’s #ChatGPT #chatbot. Suchir Balaji spent nearly four years as an artificial intelligence researcher at #OpenAI. Among other projects, he helped gather and organize the enormous amounts of internet data the company used to build its online #chatbot, #ChatGPT. At the time, he did not carefully consider whether the company had a legal right to build its products in this way. He assumed the San Francisco start-up was free to use any internet data, whether it was copyrighted or not. https://lnkd.in/dQ9wQwS3