Latest news with #TechIndustry
Yahoo
17 hours ago
- Business
- Yahoo
Amazon CEO Says Generative AI Will Reduce Total Corporate Workforce
Benzinga and Yahoo Finance LLC may earn commission or revenue on some items through the links below. Inc (NASDAQ:AMZN) chief Andy Jassy in a blog post on Tuesday, highlighted the company's extensive leveraging of Generative AI to drive value. Technologies like Generative AI are rare and come about once-in-a-lifetime, completely transforming possibilities for customers and businesses, Jassy said, justifying its aggressive investment. He stated that Alexa+, the company's advanced Alexa personal assistant, is the first personal assistant that can take significant actions for customers while providing intelligent answers to virtually any question, citing its tens of millions of customers worldwide. Trending: Maker of the $60,000 foldable home has 3 factory buildings, 600+ houses built, and big plans to solve housing — Jassy stated that this AI-driven transformation might reduce the corporate workforce in the coming years due to increased efficiency. He recommended being curious about AI and educating yourself by attending workshops and training. He highlighted the huge impact of Gen AI and said that nearly half a million selling partners are using these services, and the listings they are creating are measurably better. Jassy wrote about how the company transformed advertising with AI, helping brands plan, onboard, create, and optimize campaigns. He said over 50,000 advertisers used these capabilities in the first quarter alone. Jassy highlighted Generative AI's crucial role within Amazon Web Services (AWS) for developers and in optimizing internal functions such as fulfillment and customer service. He also pointed to the development of AI agents to automate tasks and accelerate also restructured its Customer Service Chatbot with GenAI and assembled more intelligent and compelling product detail pages by leveraging GenAI. Jassy underscored Amazon's substantial investment in AI, expressing a firm belief in its capacity to alter work and daily life profoundly. He envisions a future where AI agents become ubiquitous, dramatically expanding the scope and pace of innovation for consumers. He said Amazon has over 1,000 Generative AI services and applications in progress or built, which is a small fraction of what it will ultimately build. Earlier, Jassy highlighted the need for substantial capital to secure AI chips and build data centers, reiterating the need for large capital investments during the current period of 'high demand' in order to remain competitive in the rapidly changing AI landscape. Read Next: Maximize saving for your retirement and cut down on taxes: Schedule your free call with a financial advisor to start your financial journey – no cost, no obligation. Warren Buffett once said, "If you don't find a way to make money while you sleep, you will work until you die." Here's how you can earn passive income with just $100. Photo via Shutterstock This article Amazon CEO Says Generative AI Will Reduce Total Corporate Workforce originally appeared on © 2025 Benzinga does not provide investment advice. All rights reserved. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Wall Street Journal
2 days ago
- Business
- Wall Street Journal
The Real Message Andy Jassy Is Sending to Employees on AI
Amazon AMZN -1.07%decrease; red down pointing triangle chief Andy Jassy had a chilling message for employees this week: AI is coming for your jobs. But things at Amazon are more nuanced than that. The company is unique among its big-tech peers: Amazon's business model requires a huge number of warehouse workers and delivery drivers. The company reported 1.56 million full-time employees in its last quarterly filing—nearly seven times the total of the next-largest megacap tech giant.
Geeky Gadgets
2 days ago
- Business
- Geeky Gadgets
Build a SaaS App Without Coding : No-Code Claude Code Workflow
What if you could build a powerful, fully functional SaaS application without years of coding experience or a massive development budget? With the rise of no-code AI tools like Claude Code, this is no longer just a dream—it's a reality. Imagine creating an app that analyzes YouTube comments, uncovers audience sentiment, and generates actionable insights, all with minimal technical expertise. The possibilities are endless, and the tools to make them happen are more accessible than ever. Whether you're an aspiring entrepreneur or a seasoned developer looking to streamline your workflow, the ability to bring your ideas to life has never been this straightforward—or this exciting. Creator Magic have created a step-by-step guide to building a YouTube comment analyzer app using Claude Code. From setting up your development environment to deploying and scaling your application, every stage is broken down into clear, actionable steps. Along the way, you'll learn how to integrate essential tools like the YouTube Data API and OpenAI API, design an intuitive user interface, and even evaluate the cost-effectiveness of your project. But this isn't just about building an app—it's about unlocking a new way of thinking about software development. By the end, you'll not only have a functional application but also the confidence to tackle more ambitious projects in the future. So, what's the first step in turning your idea into reality? Let's explore. Build a No-Code SaaS App Step 1: Preparing Your Development Environment Before diving into the development process, it's essential to set up your environment correctly. Follow these steps to ensure a smooth start: Install , a critical prerequisite for running Claude Code effectively. , a critical prerequisite for running Claude Code effectively. For Windows users, enable the Windows Subsystem for Linux (WSL) to streamline the development process. to streamline the development process. Use your terminal or command-line interface to install Claude Code. Choose a pricing model—subscription-based or pay-as-you-go—that aligns with your project's requirements. This foundational setup equips you with the necessary tools to proceed efficiently and avoid common technical hurdles. Step 2: Initializing and Structuring Your Project Once your environment is ready, the next step is to initialize your project and define its structure. Here's how to get started: Create a dedicated project folder to organize your files and resources. Set up a . file, which serves as the blueprint for your application. This file should outline the app's purpose, architecture, and specific instructions for the AI model. file, which serves as the blueprint for your application. This file should outline the app's purpose, architecture, and specific instructions for the AI model. Use the Claude 4 Opus model, renowned for its advanced natural language processing capabilities, to ensure high-quality results. A well-structured project foundation ensures clarity and efficiency as you progress through the development process. Step 3: Developing Core Functionality The core functionality of your app defines its value and utility. In this example, the app will analyze YouTube comments to provide actionable insights. These insights can include: Frequently asked questions from viewers. Trends in audience sentiment. Content ideas tailored to creators' audiences. Claude Code simplifies this process by automating backend logic and workflows. To enable these features, integrate the following APIs: YouTube Data API: Retrieve comments and related metadata from YouTube videos. Retrieve comments and related metadata from YouTube videos. OpenAI API: Analyze and interpret the data to generate meaningful insights. During this stage, address potential challenges such as API key configuration or rate limits to ensure seamless functionality. Testing each component as you build will help identify and resolve issues early. Claude Code AI app Building Tutorial Watch this video on YouTube. Dive deeper into No-code AI tools with other articles and guides we have written below. Step 4: Designing and Customizing the User Interface A well-designed user interface (UI) is crucial for enhancing usability and engagement. Once the core functionality is in place, focus on creating an intuitive and visually appealing UI. Consider the following steps: Provide visual references, such as wireframes or screenshots, to guide Claude Code in generating the UI layout. Incorporate CSS to refine the design, making sure a polished and professional appearance. to refine the design, making sure a polished and professional appearance. Align the app's UI with familiar platforms, such as YouTube Studio, to make navigation intuitive for users. A user-friendly interface not only improves the app's functionality but also enhances the overall user experience, increasing the likelihood of adoption and satisfaction. Step 5: Deploying, Testing, and Optimizing With the app built and the UI customized, the next step is deployment and testing. This phase ensures the app performs as intended in real-world scenarios. Follow these steps: Activate the app's functionality by adding your API keys for YouTube and OpenAI. Test the comment analysis feature to verify it generates actionable insights, such as identifying common themes or gauging audience sentiment. Export the insights for further use and monitor the app's performance to identify areas for improvement. Thorough testing is essential to ensure reliability and functionality, allowing you to address any issues before the app is made available to users. Step 6: Enhancing Features and Evaluating Costs To maximize the app's value, consider integrating advanced features and evaluating its cost-effectiveness. Here are some suggestions: Stripe: Add payment processing capabilities to monetize your app effectively. Add payment processing capabilities to monetize your app effectively. Supabase: Use this scalable backend database for secure and reliable data storage. Use this scalable backend database for secure and reliable data storage. Gather user feedback to identify areas for improvement and implement iterative updates to better meet user needs. One of the standout benefits of using Claude Code is its affordability. For instance, you can build a Minimum Viable Product (MVP) SaaS app for as little as $3.06. This low cost, combined with the tool's speed and simplicity, makes it an attractive option for entrepreneurs and small businesses. Step 7: Scaling and Future Development As your app gains traction, scaling and future development become critical. Consider these strategies to ensure long-term success: Expand the app's functionality by integrating additional APIs or features based on user feedback. Optimize performance to handle increased user demand as the app scales. Explore marketing strategies to reach a broader audience and maximize the app's impact. By continuously refining and expanding your app, you can maintain its relevance and value in a competitive market. Media Credit: Creator Magic Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Android Authority
2 days ago
- Business
- Android Authority
Samsung is trying to figure out why it lost Pixel 10 chip production, but we all know why
TL;DR Samsung is 'intensively analyzing' Google's switch from Samsung to TSMC for Pixel chip production. The move apparently came as a 'shock' to Samsung last month. TSMC is generally considered superior to Samsung when it comes to chip manufacturing. Google has used Samsung to manufacture its Tensor smartphone chips since 2021, but the Pixel 10 series is widely tipped to be made by rival manufacturer TSMC. Now, Samsung is reportedly taking a closer look at this switch as part of a wider investigation into its flagging foundry business. Korean outlet The Bell (h/t: Jukanlosreve) reports that Samsung is 'intensively analyzing' Google's switch from Samsung Foundry to TSMC for its future Tensor smartphone processors. The outlet added that this switch caused a 'shock' inside and outside Samsung last month. 'Losing Google is a case that shows the complex problems of Samsung Foundry at once,' an industry source told the outlet. 'I understand that there are many discussions and concerns going on internally as well.' Why did Google make the switch? The Bell cited several reasons for Google to jump ship, including lower yields at more advanced processes, a lack of semiconductor design resources, and increased competition between Google and Samsung's smartphone arms. We can also think of consumer-facing reasons why Google switched foundries too. Smartphone chips made by TSMC instead of Samsung Foundry have generally been cooler and more efficient, enabling better battery life and reducing heating. Meanwhile, Google's Tensor-powered Pixel phones gained a reputation for running hot and offering mixed battery life. So switching Pixel chip production to TSMC could alleviate some of these issues. It doesn't sound like Samsung's next-generation manufacturing process is going smoothly, either. The company is reportedly 'struggling to proceed as planned' with the 2nm process. The company is tipped to use this process for the Exynos 2600, which might appear in the Galaxy S26 series. In any event, I'm not sure whether Samsung was truly shocked by Google's decision. We've known about this move for months now, so we're sure Samsung must've known about it for even longer. However, news emerged last month that Google's deal with TSMC could last until the Pixel 14. So it's possible that Samsung was blindsided by news of this long-term agreement. Got a tip? Talk to us! Email our staff at Email our staff at news@ . You can stay anonymous or get credit for the info, it's your choice.
Yahoo
2 days ago
- Business
- Yahoo
Sam Altman says he was largely right in predicting how quickly AI would develop — but not how people would react
Sam Altman says OpenAI was largely right about its "technical predictions" regarding AI development. However, Altman expected society to "feel more different" from ChatGPT's impact by this point, he said on his brother's podcast. Going forward, he added, more people should be thinking about how to apply AI to benefit society as a whole. Sam Altman says he correctly predicted how AI would develop. There is, however, one prediction he didn't quite get right. "I feel like we've been very right on the technical predictions, and then I somehow thought society would feel more different if we actually delivered on them than it does so far," Altman, the CEO of OpenAI, said on a recent episode of "Uncapped with Jack Altman." "But I don't even — it's not even obvious that that's a bad thing." Altman believes that OpenAI has "cracked" reasoning in its models, and said its o3 LLM in particular is on par with a human being with a "Ph.D." in many subject matters. Though the trajectory of the technology has proceeded largely as expected, Altman said people aren't quite reacting as proportionately as he anticipated. "The models can now do the kind of reasoning in a particular domain you'd expect a Ph.D. in that field to be able to do," he said. "In some sense we're like, 'Oh okay, the AIs are like a top competitive programmer in the world now,' or 'AIs can get like a top score on the world's hardest math competitions,' or 'AIs can like, you know, do problems that I'd expect an expert Ph.D. in my field to do,' and we're like not that impressed. It's crazy." While AI use is on the rise, society hasn't transformed in huge leaps and bounds yet. AI is impacting businesses already, with many companies adopting AI tools and, in some cases, using them to augment or replace human labor. Altman believes the response to the technology has been relatively underwhelming when held up to what he sees as its future potential. "If I told you in 2020, 'We're going to make something like ChatGPT and it's going to be as smart as a Ph.D. student in most areas, and we're going to deploy it, and a significant fraction of the world is going to use it and kind of use it a lot,'" he said. "Maybe you would have believed that, maybe you wouldn't have." "But conditioned on that, I bet you would say 'Okay, if that happens, the world looks way more different than it does right now,'" he added. Altman acknowledges that AI is currently most useful as a sort of "co-pilot," but foresees major change if it's ever able to act autonomously — especially considering its potential applications in science. "You already hear scientists who say they're faster with AI," he said. "Like, we don't have AI maybe autonomously doing science, but if a human scientist is three times as productive using o3, that's still a pretty big deal. And then, as that keeps going and the AI can like autonomously do some science, figure out novel physics ... " In terms of risk, Altman said he isn't too concerned, despite other AI leaders — like Anthropic's Dario Amodei and DeepMind's Demis Hassabis — saying that they worry about potential catastrophic scenarios in the future. "I don't know about way riskier. I think like, the ability to make a bioweapon or like, take down a country's whole grid — you can do quite damaging things without physical stuff," he said. "It gets riskier in like sillier ways. Like, I would be afraid to have a humanoid robot walking around my house that might fall on my baby, unless I like really, really trusted it." OpenAI did not immediately respond to a request for comment by Business Insider. For now, Altman said, life remains relatively constant. But if things begin to snowball — and he believes that they will — he has no concrete idea what the world may end up looking like. "I think we will get to extremely smart and capable models — capable of discovering important new ideas, capable of automating huge amounts of work," he said. "But then I feel totally confused about what society looks like if that happens. So I'm like most interested in the capabilities questions, but I feel like maybe at this point more people should be talking about, like, how do we make sure society gets the value out of this?" Read the original article on Business Insider
