Latest news with #Claude4
Geeky Gadgets
2 days ago
- Geeky Gadgets
Meet GPT-5 Lobster : Open's New Free Powerful AI Model
What if the future of coding wasn't just faster—but smarter, more intuitive, and entirely free? OpenAI's latest innovation, the GPT-5 'Lobster' variant, is making waves in the tech world, promising to outpace competitors like Claude 4 in both precision and versatility. Imagine a tool so advanced it can refactor legacy code, build interactive applications, or even design complex simulations—all with minimal input. Early benchmarks suggest that Lobster isn't just another coding model; it's a fantastic option for developers and engineers alike. With its uncanny ability to tackle intricate programming challenges, Lobster is poised to redefine how we approach technical problem-solving. In this overview, World of AI explore what makes Lobster a standout in OpenAI's GPT-5 lineup. From its one-shot coding capabilities to its potential applications in robotics, data analysis, and beyond, this model is more than just a coding assistant—it's a versatile powerhouse. You'll discover how Lobster's advanced reasoning sets it apart, why its free access is a bold move by OpenAI, and how it could reshape workflows across industries. Whether you're a seasoned developer or simply curious about the future of AI, Lobster offers a glimpse into a world where innovation meets accessibility. Could this be the tool that bridges the gap between human creativity and machine precision? GPT-5's Lobster Model Overview Key Features That Set Lobster Apart Lobster is designed specifically to excel in coding and technical problem-solving, making it a standout among GPT-5's variants. Its defining strength lies in its ability to perform one-shot coding tasks with remarkable accuracy. By providing minimal input, users can generate precise, efficient outputs, saving time and effort. Some of its standout capabilities include: Refactoring legacy code to enhance structure and performance. Managing dependencies in large-scale software projects. Developing functional applications, including animations and simulations. For instance, Lobster can create interactive applications or design complex simulations with minimal guidance. This capability significantly reduces the workload for developers, allowing them to focus on higher-level tasks while Lobster handles intricate programming challenges. Expanding Applications Beyond Coding While Lobster excels in coding, its utility extends far beyond traditional programming tasks. Its advanced reasoning capabilities make it a versatile tool for addressing real-world engineering challenges and creating innovative solutions. Potential applications include: Developing interactive game clones with extensive customization options. Designing user interfaces tailored to specific requirements. Solving complex technical problems in fields such as robotics, data analysis, and machine learning. These features position Lobster as a powerful resource for developers, engineers, and researchers working on demanding projects. Its ability to streamline workflows and enhance productivity makes it an invaluable tool across a wide range of industries. New OpenAI GPT-5 Lobster AI Watch this video on YouTube. Enhance your knowledge on GPT-5 by exploring a selection of articles and guides on the subject. Testing and Optimization on LM Marina To ensure peak performance, OpenAI is conducting extensive testing of GPT-5 variants, including Lobster, on the LM Marina platform. This testing environment allows users to evaluate the models across diverse tasks and provide critical feedback. By analyzing performance metrics and user input, OpenAI is refining these models to meet the varied needs of its users. This iterative process ensures that Lobster and its counterparts are optimized for real-world applications before their official release. The LM Marina platform serves as a crucial step in delivering AI tools that are both reliable and effective. Tiered Access for GPT-5: A Flexible Approach OpenAI is exploring a tiered access system for GPT-5, which would provide different levels of functionality to cater to a broad spectrum of users. This approach could include: A free tier offering basic AI capabilities for general users. A premium tier with advanced features for developers and technical professionals. A professional tier tailored to enterprise-level needs, offering specialized tools and support. This structure aims to make innovative AI technology accessible to a wider audience while making sure that professionals and organizations have access to the advanced features they require. Such a system could provide widespread access to AI tools, fostering innovation across industries. Shaping the Future of AI Development The advancements in GPT-5, particularly the Lobster variant, highlight significant progress toward achieving Artificial General Intelligence (AGI). By combining exceptional coding capabilities with advanced reasoning, GPT-5 has the potential to transform software development, engineering, and other technical fields. Its ability to streamline complex tasks and improve efficiency marks a pivotal moment in the evolution of AI. For developers, engineers, and researchers, GPT-5 offers tools that could redefine workflows, allowing faster problem-solving and fostering innovation. The Lobster model, in particular, stands out as a testament to the growing sophistication of AI in addressing real-world challenges. The Road Ahead As OpenAI continues to refine GPT-5, the Lobster model emerges as a prime example of AI's expanding capabilities. Whether you're a developer aiming to optimize your codebase or an engineer tackling intricate technical challenges, GPT-5's tools promise to transform your approach to problem-solving. With its release anticipated in the near future, GPT-5 is poised to set a new standard for AI-driven solutions. Its potential to enhance efficiency and unlock new opportunities across industries underscores its role as a fantastic force in the world of artificial intelligence. Media Credit: WorldofAI Filed Under: AI, Top News 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.
Tom's Guide
23-07-2025
- Business
- Tom's Guide
Claude 4 vs ChatGPT: Which AI assistant is right for you?
Not all chatbots are created equal. OpenAI's ChatGPT and Anthropic's Claude are two of the most capable AI assistants available today, but they're built with different strengths, personalities and design philosophies. Whether you're looking for a creative collaborator, a coding partner or an all-in-one productivity tool, knowing how they compare can help you choose the right one for your style and needs. I've been testing AI chatbots for years, so let me break down the ChatGPT vs Claude differences that you need to know. While many users are eagerly anticipating the release of ChatGPT-5, OpenAI's current flagship model is GPT-4o (short for 'Omni'), and the company's most advanced base model to date. It supports multimodal input and output, meaning it can understand and respond to text, image, and audio, and it enables real-time interactions, including natural voice conversations and image generation. Anthropic's Claude 4, released in May 2025, comes in two versions. Claude Sonnet 4 is the free, fast, general-purpose model built for everyday use, while Claude Opus 4 is a premium model designed for deep reasoning, advanced coding tasks and large-scale context handling. It's built to power more complex workflows and long-form problem-solving. ChatGPT is available on the web, iOS and Android, and it's tightly integrated into Microsoft's ecosystem through Copilot in Bing, Word, Excel and other Office apps. Get instant access to breaking news, the hottest reviews, great deals and helpful tips. Claude 4, meanwhile, is accessible via on the web, iOS and Android. Developers and enterprise users can also access Claude via the Anthropic API, as well as through platforms like GitHub Copilot, AWS Bedrock and Google Cloud's Vertex AI. ChatGPT, powered by GPT-4o, offers strong conversational memory and supports multimodal input, including text, images, audio, file uploads and code execution. Users can personalize interactions with memory settings and even build custom GPTs for specific tasks. Although Claude does not have a memory feature, Claude 4 supports up to 200,000 tokens of context, allowing it to handle and retain significantly more information in a single conversation; the equivalent of more than 500 pages of text. ChatGPT offers fast, responsive performance and is particularly strong when paired with tools like Microsoft Copilot. Its reasoning abilities are enhanced by plugins, file uploads, and its new Agent feature, which can browse the web, execute tasks and automate workflows across apps. Claude Sonnet is similarly fast and excels at maintaining depth and continuity in conversations, making it a strong writing partner or analytical assistant. Claude Opus takes things further with support for multi-hour workflows, legal reasoning, code explanation and complex research tasks. On industry benchmarks like SWE-bench, Claude Opus ranks among the top performers for software engineering use cases. When it comes to multimodal support, ChatGPT offers more with in-chat image generation, visual context and real-time voice conversations with memory. Claude supports image input and visual understanding, meaning users can upload an image and the chatbot will assist with comprehension, but it cannot generate images. Also, Claude does not offer real-time conversational chat. Claude 4, especially in its Sonnet form, stands out for its natural, thoughtful tone. It often feels more like a helpful assistant offering clear explanations, thoughtful suggestions and a calm, conversational flow. If you're writing, brainstorming or trying to make sense of something complex, Claude tends to feel more human in how it is professional, polished and highly adaptable, with the ability to shift tones based on a user's preference or task. It is arguably more chatty than Claude, which appeals to some users more than others. ChatGPT supports a broad set of integrations including custom GPTs, an extensive plugin ecosystem, and Microsoft Copilot. Its new ChatGPT Agent feature (currently in early access) allows it to take real action on your behalf: browsing the web, interacting with forms, generating presentations and more all within a secure sandboxed environment. Claude 4 doesn't yet offer a native agent feature through its user interface, but it does support tool use and extended workflows through its API. It also integrates with GitHub Copilot, AWS Bedrock and other developer platforms, making it a strong option for those building their own agentic systems. If you're looking for an all-in-one AI assistant, ChatGPT is the more versatile choice. It can speak, see, listen, browse, generate images, analyze documents and automate tasks. Its voice mode feels remarkably human and is useful for a hands-free experience. The chatbot's ability to create and understand images adds another layer of functionality that Claude doesn't natively support. ChatGPT also integrates seamlessly with Microsoft products and lets users build custom GPTs tailored to their specific needs. And for power users, the new ChatGPT Agent adds another level of autonomy and actionability that's unmatched in most other consumer-facing AI tools. Claude 4 shines in natural language understanding and thoughtful conversation. It's ideal for users who prioritize clarity, warmth and coherence in writing, editing and reasoning. Whether you're crafting long-form content or analyzing dense documents, Claude delivers consistently thoughtful and easy-to-follow responses. Its 200K-token context window makes it the better choice for handling long inputs like research papers or legal contracts. Claude Opus, in particular, is built for high-stakes reasoning tasks and delivers top-tier performance for technical, legal and academic work. Even better, Claude Sonnet 4 is free, making it an excellent entry point for users who want fast, capable AI without paying for a subscription. Both ChatGPT and Claude are chatbots that I use every day. But they serve different goals. ChatGPT is my go-to for versatility, real-time interaction and multimodal tasks while Claude is what I use most often for summarizing, reasoning, deep context and analytics. Knowing what each excels at can help you choose the right assistant, or mix and match based on what you're trying to accomplish. Which chatbot do you prefer and why? Let me know in the comments. Follow Tom's Guide on Google News to get our up-to-date news, how-tos, and reviews in your feeds. Make sure to click the Follow button.
Time Magazine
17-07-2025
- Business
- Time Magazine
Top AI Firms Fall Short on Safety, New Studies Find
The world's leading AI companies have 'unacceptable' levels of risk management, and a 'striking lack of commitment to many areas of safety,' according to two new studies published Thursday. The risks of even today's AI—by the admission of many top companies themselves—could include AI helping bad actors carry out cyberattacks or create bioweapons. Future AI models, top scientists worry, could escape human control altogether. The studies were carried out by the nonprofits SaferAI and the Future of Life Institute (FLI). Each was the second of its kind, in what the groups hope will be a running series that incentivizes top AI companies to improve their practices. 'We want to make it really easy for people to see who is not just talking the talk, but who is also walking the walk,' says Max Tegmark, president of the FLI. Read More: Some Top AI Labs Have 'Very Weak' Risk Management, Study Finds SaferAI assessed top AI companies' risk management protocols (also known as responsible scaling policies) to score each company on its approach to identifying and mitigating AI risks. No AI company scored better than 'weak' in SaferAI's assessment of their risk management maturity. The highest scorer was Anthropic (35%), followed by OpenAI (33%), Meta (22%), and Google DeepMind (20%). Elon Musk's xAI scored 18%. Two companies, Anthropic and Google DeepMind, received lower scores than the first time the study was carried out, in October 2024. The result means that OpenAI has overtaken Google as second place in SaferAI's ratings. Siméon Campos, founder of SaferAI, said Google scored comparatively low despite doing some good safety research, because the company makes few solid commitments in its policies. The company also released a frontier model earlier this year, Gemini 2.5, without sharing safety information—in what Campos called an 'egregious failure.' A spokesperson for Google DeepMind told TIME: 'We are committed to developing AI safely and securely to benefit society. AI safety measures encompass a wide spectrum of potential mitigations. These recent reports don't take into account all of Google DeepMind's AI safety efforts, nor all of the industry benchmarks. Our comprehensive approach to AI safety and security extends well beyond what's captured.' Anthropic's score also declined since SaferAI's last survey in October. This was due in part to changes the company made to its responsible scaling policy days before the release of Claude 4 models, which saw Anthropic remove its commitments to tackle insider threats by the time it released models of that caliber. 'That's very bad process,' Campos says. Anthropic did not immediately respond to a request for comment. The study's authors also said that its methodology had become more detailed since last October, which accounts for some of the differences in scoring. The companies that improved their scores the most were xAI, which scored 18% compared to 0% in October; and Meta, which scored 22% compared to its previous score of 14%. The FLI's study was broader—looking not only at risk management practices, but also companies' approaches to current harms, existential safety, governance, and information sharing. A panel of six independent experts scored each company based on a review of publicly available material such as policies, research papers, and news reports, together with additional nonpublic data that companies were given the opportunity to provide. The highest grade was scored by Anthropic (a C plus). OpenAI scored a C, and Google scored a C minus. (xAI and Meta both scored D.) However, in FLI's scores for each company's approach to 'existential safety,' every company scored D or below. 'They're all saying: we want to build superintelligent machines that can outsmart humans in every which way, and nonetheless, they don't have a plan for how they're going to control this stuff,' Tegmark says.
CNBC
15-07-2025
- Business
- CNBC
Amazon-backed Anthropic rolls out Claude AI for financial services
Anthropic on Tuesday announced Claude tools for financial services as part of the artificial intelligence startup's latest attempt to court enterprise customers. The so-called Financial Analysis Solution can help financial professionals make investment decisions, analyze markets and conduct research, Anthropic said. It includes the company's Claude 4 models, Claude Code and Claude for Enterprise with expanded usage limits, implementation support and other features. "Claude provides the complete platform for financial AI—from immediate deployment to custom development," Anthropic said in a release. As part of its new Financial Analysis Solution, Claude will get real-time access to financial information through data providers like Box, PitchBook, Databricks, S&P Global and Snowflake. Anthropic said many of these integrations are available on Tuesday, with more to come. Anthropic's Financial Analysis Solution and Claude for Enterprise are available on AWS Marketplace. The company said Google Cloud Marketplace availability is coming soon. The Amazon-backed AI startup was founded by former OpenAI research executives, and its debut product was the Claude chatbot in March 2023. Anthropic announced its latest models, Claude Opus 4 and Claude Sonnet 4, in May, roughly nine months after it rolled out its business product called Claude for Enterprise. Anthropic's Claude models and AI assistant have exploded in popularity as more businesses work to incorporate generative AI across marketing, sales and other customer service functions. As of March, Anthropic closed its latest funding round at a $61.5 billion post-money valuation.
Geeky Gadgets
13-07-2025
- Business
- Geeky Gadgets
Claude vs Grok 4 App Build Test : Which AI Builds Your App Faster & More Efficiently
What if the future of app development wasn't just about coding skills but choosing the right AI collaborator? In a rapidly evolving tech landscape, the battle between AI models like Claude 4 and Grok 4 is reshaping how developers approach their craft. Imagine building a complex to-do app in record time, with one AI seamlessly handling tasks while another stumbles over integration issues. This isn't just a hypothetical scenario—it's the reality revealed in a recent head-to-head evaluation of these two advanced models. While both promise to transform development workflows, their performance and reliability tell two very different stories. In this comparison, Rob Shocks uncovers how Claude 4 and Grok 4 stack up in critical areas like autonomous task execution, error handling, and integration stability. Whether you're a seasoned developer or exploring AI-powered tools for the first time, this perspective will illuminate the strengths and limitations of each model. From Grok 4's ambitious but inconsistent performance to Claude 4's polished and dependable efficiency, the findings offer valuable insights for anyone seeking to streamline app development. As you read on, consider this: is it better to bet on potential or proven reliability? Claude 4 vs Grok 4 Grok 4: A Promising Newcomer with Challenges Grok 4, developed by Elon Musk's xAI, represents a new entrant in the competitive AI landscape. It features a 128,000-token context window, allowing it to process extensive inputs, and is offered via subscription at $300 annually or $30 monthly. Integrated into Cursor, Grok 4 aims to simplify development tasks by using its advanced processing capabilities. Despite its potential, Grok 4 encountered several challenges during testing. Its integration stability proved inconsistent, often requiring manual intervention to complete tasks. This lack of reliability in managing complex workflows limits its effectiveness in demanding development scenarios. While Grok 4 shows promise, its current iteration struggles to meet the expectations of developers seeking seamless and autonomous solutions. Claude 4: A Mature and Reliable AI Model Claude 4, in contrast, demonstrated consistent and robust performance throughout the evaluation. Renowned for its ability to autonomously execute tasks, it required minimal prompting and excelled in error resolution. Its seamless integration with modern tech stacks and its efficiency in handling complex workflows make it a standout choice for app developers. Claude 4's maturity as an AI model was evident in its ability to deliver results with minimal disruptions, reinforcing its reputation as a reliable tool for development tasks. Claude 4 vs Grok 4 : Comprehensive AI App Development Comparison Watch this video on YouTube. Below are more guides on AI-powered app development from our extensive range of articles. Testing the Models: Building a To-Do App The evaluation involved a practical test: creating an AI-powered to-do app capable of generating task plans. The tech stack used for this project included React, Prisma, and Neon DB, all of which are widely used in modern app development. Both Claude 4 and Grok 4 relied on Cursor, a tool designed to assist in generating and executing development tasks. The results highlighted key differences in their performance: Claude 4: Completed the app with fewer prompts, showcasing superior error-handling capabilities. It required minimal manual adjustments, streamlining the development process. Completed the app with fewer prompts, showcasing superior error-handling capabilities. It required minimal manual adjustments, streamlining the development process. Grok 4: Required additional troubleshooting and manual intervention, which slowed progress and exposed its limitations in managing tasks autonomously. This test underscored Claude 4's ability to handle complex workflows efficiently, while Grok 4's performance revealed areas that need improvement. Cursor Integration: A Crucial Component Cursor played a pivotal role in the evaluation by structuring task execution and guiding workflows. Both AI models depended on Cursor to generate to-do lists and manage development processes. However, their ability to integrate with Cursor varied significantly: Claude 4: Used Cursor effectively, maintaining stability and efficiency throughout the development process. Used Cursor effectively, maintaining stability and efficiency throughout the development process. Grok 4: Struggled with integration stability, leading to interruptions and inefficiencies that hindered its overall performance. The disparity in their performance with Cursor further highlighted Claude 4's reliability and Grok 4's need for refinement. Key Performance Insights The comparison between Claude 4 and Grok 4 revealed several critical insights into their capabilities: Autonomous Task Execution: Claude 4 excelled at completing tasks with minimal input, reducing the need for manual intervention and improving efficiency. Claude 4 excelled at completing tasks with minimal input, reducing the need for manual intervention and improving efficiency. Error Handling: Claude 4 demonstrated superior error resolution, making sure a smoother and more reliable development process. Claude 4 demonstrated superior error resolution, making sure a smoother and more reliable development process. Integration Stability: Grok 4 faced challenges with tool integration, which negatively impacted its performance and usability. Grok 4 faced challenges with tool integration, which negatively impacted its performance and usability. Potential for Growth: While Grok 4 shows promise, it requires updates and refinements to match Claude 4's efficiency and reliability. These insights emphasize the importance of selecting an AI model that aligns with the specific needs of app development projects. Looking Ahead: The Future of AI Models in Development As AI technology continues to advance, both Claude 4 and Grok 4 have the potential to evolve further. Grok 4's upcoming code-optimized version may address its current shortcomings, particularly in integration stability and autonomous task execution. Such improvements could make it a more competitive option in the future. Additionally, tools like Cursor, which are designed to be AI-agnostic, provide developers with the flexibility to integrate multiple models into their workflows. This adaptability allows developers to use the strengths of different AI models while mitigating their weaknesses. As the field of AI-powered app development progresses, developers can expect even more sophisticated tools and models that enhance productivity and innovation. Media Credit: Rob Shocks 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.
