How do I use apple, google and microsoft Updates?

apple, google and microsoft Updates can be accessed through the provided link. Follow the instructions on the tool's website to get started. Most AI tools offer intuitive interfaces designed for easy use.

What does apple, google and microsoft Updates cost?

The pricing for apple, google and microsoft Updates is: Check the official website. Visit the official website for the most up-to-date pricing information and available plans.

What can I use apple, google and microsoft Updates for?

apple, google and microsoft Updates is designed for news applications. It helps users accomplish tasks related to these areas efficiently and effectively.

apple, google and microsoft Updates

The tech world is buzzing with significant AI developments, highlighted by Apple's strategic move to license Google's advanced Gemini AI model for a major Siri overhaul. Reports indicate Apple is finalizing a deal to pay Google around $1 billion annually for a custom 1.2 trillion parameter Gemini model. This technology will power Siri's summarizer and planner functions, running securely on Apple's Private Cloud Compute servers, with a launch anticipated next spring as part of Apple Intelligence. While this partnership aims to boost Siri's capabilities, Apple, under Mike Rockwell's leadership for Siri's development, still plans to develop its own 1 trillion parameter cloud-based AI model to eventually replace Google's solution. This collaboration underscores the massive investments pouring into artificial intelligence across the industry. Companies like Microsoft, Alphabet (Google's parent company), Meta, and Amazon are channeling immense capital into AI data centers, a trend an economist noted drove all US economic growth in early 2024. This boom, while boosting the stock market, also strains the power grid due to the immense electricity demands of GPUs. However, not everyone sees this as sustainable; Gary Marcus, former head of Uber AI Labs, warns of an AI market bubble, citing misaligned company valuations and infrastructure costs. Conversely, author Carlota Perez argues that such economic bubbles are crucial for technological revolutions, laying groundwork for future growth, much like the dot-com bubble did for internet infrastructure. NVIDIA continues to be a key player, with its GeForce RTX GPUs significantly enhancing creative workflows. These GPUs accelerate AI features in applications like Adobe Premiere and Photoshop, enabling artists to work faster. For instance, the GeForce RTX 5090 Laptop GPU can run popular AI models up to 17 times faster than Apple's M4 Max. Meanwhile, OpenAI is demonstrating rapid growth, now serving over 1 million business customers globally and projecting its revenue could reach $100 billion by 2027. The company also secured a substantial $38 billion deal with AWS to run its AI workloads using Nvidia GPUs and CPUs. Beyond these giants, AI's influence is expanding into diverse sectors. In healthcare, Saudi Arabia's M42 is integrating AI to empower patients, while a Harvard researcher proposes improved testing methods for AI models in this critical field. AI and blockchain are also transforming carbon credit verification, with the World Bank linking carbon registries and financial institutions like Carbonplace building networks for trading tokenized environmental assets. In education, Dr. Victor Lee from Stanford University discussed AI's role in K-12 learning at Punahou School, emphasizing its potential as a "thought partner" rather than a replacement for human connection. Finally, Professor Fei-Fei Li, recognized as the "godmother" of AI for her ImageNet project, is being honored with the 2025 Queen Elizabeth Prize for Engineering, advocating for AI's future in real-world interaction and a pragmatic discussion about its impact.

Key Takeaways

Apple is finalizing a deal to pay Google approximately $1 billion annually to license its 1.2 trillion parameter Gemini AI model for a revamped Siri.
The custom Google Gemini model will power Siri's summarizer and planner functions, running on Apple's secure Private Cloud Compute servers.
Apple plans to launch the upgraded Siri, part of Apple Intelligence, next spring (iOS 26.4), while also developing its own in-house AI to eventually replace Gemini.
Major tech companies like Microsoft, Alphabet, Meta, and Amazon are making massive investments in AI data centers, which drove all US economic growth in early 2024 and are straining the power grid.
NVIDIA GeForce RTX GPUs significantly accelerate AI features in creative applications, with the RTX 5090 Laptop GPU performing up to 17 times faster than Apple M4 Max in some AI models.
OpenAI has reached over 1 million business customers and projects its revenue could hit $100 billion by 2027, having also signed a $38 billion deal with AWS for AI workloads using Nvidia GPUs and CPUs.
Gary Marcus, former Uber AI chief, warns the AI market is a bubble due to misaligned valuations and infrastructure costs, contrasting with Carlota Perez's view that such bubbles are essential for technological revolutions.
AI and blockchain are transforming carbon credit verification, with the World Bank linking registries and financial institutions forming networks for trading tokenized environmental assets.
Professor Fei-Fei Li, known as the "godmother" of AI for her ImageNet project, is being honored with the 2025 Queen Elizabeth Prize for Engineering for her contributions to modern machine learning.
AI is being integrated into healthcare (Saudi Arabia's M42, Harvard research on testing) and education (Stanford's Dr. Victor Lee on AI as a "thought partner" at Punahou School).

Apple plans to use Google AI for Siri revamp

Apple is reportedly in talks to license Google's Gemini AI model for its iPhone software, Siri. The deal could cost Apple about $1 billion annually. Apple plans to use Google's advanced 1.2 trillion parameter Gemini model as a temporary solution until its own AI systems are ready. This move aims to make Siri more capable, as it has lagged behind rivals like Alexa and Google Assistant. Mike Rockwell now leads Siri's development.

Apple may pay Google $1 billion for Siri AI

Apple is reportedly close to a deal to pay Google up to $1 billion each year. This money would be for using Google's AI technology to improve Siri and other Apple products like iPhones, iPads, and Macs. Apple wants to make Siri better, as it has fallen behind competitors like Amazon's Alexa and Google Assistant. This partnership would give Apple access to advanced AI without having to build it all itself. The deal highlights the growing importance of AI in the tech world.

Apple to use Google Gemini AI for Siri upgrade

Apple plans to use a custom version of Google's Gemini AI model, with 1.2 trillion parameters, to power a new and improved Siri. The company will pay Google about $1 billion annually for this technology. This Gemini model will help Siri with tasks like planning queries and summarizing information, running on Apple's secure Private Cloud Compute servers. Apple is also developing its own AI for other Siri functions and aims to replace Gemini with an in-house solution eventually. The revamped Siri is expected to launch with iOS 26.4.

Apple to use Google Gemini for new Siri

Apple plans to use a custom version of Google's Gemini AI model to power its upgraded Siri, which will be part of Apple Intelligence. Reports suggest Apple will pay Google around $1 billion annually for this. The custom Gemini model, with 1.2 trillion parameters, will run on Apple's Private Cloud Compute servers. Apple CEO Tim Cook announced the new Siri will arrive next spring. Apple will also continue developing its own AI technology, hoping to eventually replace Gemini with its own solution.

Apple finalizes Google AI deal for Siri

Apple is finalizing plans to use Google's artificial intelligence model to power a major update for its Siri voice assistant. After looking at several external AI models, Apple chose Google's Gemini. Reports indicate Apple will pay Google around $1 billion for this technology. This move aims to significantly improve Siri's capabilities.

Apple nears $1 billion deal for Google Gemini AI

Apple is close to a $1 billion annual deal with Google to use a custom Gemini AI model for a revamped Siri. This 1.2 trillion parameter model will handle Siri's summarizer and planner functions, running on Apple's Private Cloud Compute servers to protect user data. Mike Rockwell oversees this project, codenamed Glenwood. While Google's AI will boost Siri's capabilities, Apple still plans to develop its own 1 trillion parameter cloud-based AI model for future use. The new Siri is expected to launch next spring.

Economic bubbles can bring long-term benefits

Economic bubbles, like the current AI boom, often lead to recessions when they burst. However, author Carlota Perez argues that these bubbles are necessary for technological revolutions. During the "Installation Phase," speculative money funds crucial but often unprofitable investments that lay groundwork for future growth. The dot-com bubble, for example, led to massive fiber optic cable deployment that later made the internet widely accessible. "Inflection-driven bubbles" create technologies that are orders of magnitude better, fundamentally changing how we live and work.

AI data centers change US economy and jobs

The huge investment in AI data centers is rapidly changing the US economy. Companies like Microsoft, Alphabet, Meta, and Amazon are pouring massive capital into these projects, with one economist stating it drove all US economic growth in early 2024. This boom is boosting the stock market, but also straining the power grid as data centers require immense electricity for their GPUs. The US is not building enough energy capacity, causing electricity prices to rise. While AI may create new jobs, the focus on data center investment diverts capital from other industries, impacting overall job growth.

NVIDIA RTX GPUs boost creative AI workflows

NVIDIA GeForce RTX GPUs are transforming creative work by speeding up demanding tasks. These GPUs accelerate AI features in apps like Adobe Premiere and Photoshop, allowing artists to quickly prototype ideas and tackle complex projects. For example, the GeForce RTX 5090 Laptop GPU runs popular AI models up to 17 times faster than Apple M4 Max. In video editing, RTX GPUs handle high-resolution 4K and 8K content efficiently, accelerate AI effects, and use multiple encoders for faster exports. For livestreaming, dedicated hardware encoders and the NVIDIA Broadcast app use AI to improve video quality, remove noise, and enhance audio.

AI empowers patients in Saudi healthcare

CNN's Mayssa Mansour reports on how artificial intelligence can empower patients. Ziyad Kabli from the health-tech company M42 discussed the deeper integration of AI into Saudi Arabia's healthcare system. This integration aims to improve patient care and access to health information.

Harvard researcher suggests better AI health tests

A Harvard researcher is proposing improved methods for testing artificial intelligence models used in healthcare. This topic is highlighted in STAT's AI Prognosis newsletter. Health Tech Reporter Brittany Trang covers the importance of these better testing approaches.

AI and blockchain transform carbon credits and crypto

Artificial intelligence and blockchain technology are changing how carbon credits and crypto trading work. The carbon market faced trust issues, like Shell's "carbon-neutral" claims backed by credits from rice farms. Now, a "precision stack" uses sensors, AI, and blockchain to create verifiable, trust-free systems. The World Bank is linking carbon registries with blockchain, and companies like Microsoft invest in engineered carbon removal, verified by continuous monitoring. Financial institutions, including nine global banks forming Carbonplace, are building blockchain networks for trading tokenized environmental assets.

Uber's former AI chief warns of tech bubble

Gary Marcus, former head of Uber AI Labs, warns that the artificial intelligence market is a bubble. He believes current company valuations do not match their income or the massive infrastructure costs. Marcus also states that AI technology is not as advanced as many investors think, with fully trusted generative AI possibly decades away. He points to warning signs like circular AI deals and predicts significant financial losses for investors and potential damage to the US economy when the bubble bursts.

OpenAI reaches 1 million business customers

OpenAI announced it now serves over 1 million business customers globally, making it the fastest-growing business platform ever. This includes users of ChatGPT for Work and those using its models directly. The company notes that 800 million weekly ChatGPT users help drive business adoption, with a Wharton study showing 75 percent of enterprises report a positive return on investment. CEO Sam Altman stated OpenAI's revenue is growing rapidly, potentially reaching $100 billion by 2027. OpenAI also signed a $38 billion deal with AWS to run its AI workloads using Nvidia GPUs and CPUs.

AI godmother Fei-Fei Li honored for contributions

Professor Fei-Fei Li, known as the "godmother" of AI, is being honored with the 2025 Queen Elizabeth Prize for Engineering. She is the only woman among seven pioneers receiving the award for their work in modern machine learning. Professor Li is recognized for her ImageNet project, which created large image datasets that advanced computer vision and data-driven AI. She believes the next big step for AI is interacting with the real world, which could greatly empower humans. While other AI pioneers disagree on AI's dangers, Professor Li advocates for a pragmatic and science-based discussion.

Stanford expert discusses AI in education at Punahou

Dr. Victor Lee from Stanford University visited Punahou School to discuss artificial intelligence in K-12 education with parents and faculty. Punahou President Dr. Michael Latham emphasized that AI should enhance learning, not replace human connection or critical thinking. Dr. Lee noted that teachers are currently bigger AI users than students, and AI is shifting education from rote drills to deeper, more creative learning. Punahou faculty shared examples of students using AI as a "thought partner" in writing, designing robotic creatures, and developing sustainable solutions. Both Dr. Lee and Dr. Latham encouraged parents to model curiosity and engage with AI alongside their children.