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IBM Makes Granite AI Models Available To The Public

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IBM Research recently announced it’s open sourcing its Granite code foundation models. IBM’s aim is to democratize access to advanced AI tools, potentially transforming how code is written, maintained, and evolved across industries.

Which Granite Code Models Are Used by IBM?

Granite was born out of IBM’s grand plan to make coding easier. IBM used its extensive research resources to produce a suite of AI-driven tools to help developers navigate the complicated coding environment because it recognized the complexity and rapid innovation inherent in software development.

Its 3 billion to 34 billion parameter Granite code models, which are optimized for code creation, bug fixes, and code explanation, are the result of this endeavor and are meant to improve workflow productivity in software development.

Routine and complex coding activities are automated by the Granite models, which increase efficiency. Developers are able to concentrate on more strategic and creative parts of software design while also expediting the development process. This results in better software quality and a quicker time to market for businesses.

There is also an infinite amount of room for inventiveness. New tools and applications are expected to emerge, some of which may redefine software development norms and practices, given that the community has the ability to alter and expand upon the Granite models.

In addition to 500 million lines of code written in more than 50 programming languages, code snippets, challenges, and descriptions make up the extensive CodeNet dataset that the models are trained on. Because of their substantial training, the models are better able to comprehend and produce code.

Analyst’s Take

The Granite models are designed to increase efficiency by automating complicated and repetitive coding operations. This expedites the development process and frees up developers to concentrate on more strategic and creative areas of software development. Better software quality and a quicker time to market are what this means for businesses.

IBM expands its potential user base and fosters collaborative creation and customization of these models by making these formidable tools accessible on well-known platforms like GitHub, Hugging Face, watsonx.ai, and Red Hat’s RHEL AI.

Furthermore, there is an infinite amount of room for invention. Now that the Granite models are open to community modification and development, new tools and applications are sure to follow, some of which may completely reshape software development norms and practices.

This action has significant ramifications. First off, it greatly reduces the entrance barrier for software developers wishing to use cutting edge AI techniques. Now that independent developers and startups have access to the same potent resources as established businesses, the playing field is leveled and a more dynamic and creative development community is encouraged.

IBM’s strategy not only makes sophisticated coding tools more widely available, but it also creates a welcoming atmosphere for developers with different skill levels and resource capacities.

In terms of competition, IBM is positioned as a pioneer in the AI-powered coding arena, taking direct aim at other IT behemoths that are venturing into related fields but might not have made a commitment to open-source models just yet. IBM’s presence in developers’ daily tools is ensured by making the Granite models available on well-known platforms like GitHub and Hugging Face, which raises IBM’s profile and influence among the software development community.

With the Granite models now available for public use, IBM may have a significant impact on developer productivity and enterprise efficiency, establishing a new standard for AI integration in software development tools.

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Microsoft Expands Copilot Voice and Think Deeper

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Microsoft Expands Copilot Voice and Think Deeper

Microsoft is taking a major step forward by offering unlimited access to Copilot Voice and Think Deeper, marking two years since the AI-powered Copilot was first integrated into Bing search. This update comes shortly after the tech giant revamped its Copilot Pro subscription and bundled advanced AI features into Microsoft 365.

What’s Changing?

Microsoft remains committed to its $20 per month Copilot Pro plan, ensuring that subscribers continue to enjoy premium benefits. According to the company, Copilot Pro users will receive:

  • Preferred access to the latest AI models during peak hours.
  • Early access to experimental AI features, with more updates expected soon.
  • Extended use of Copilot within popular Microsoft 365 apps like Word, Excel, and PowerPoint.

The Impact on Users

This move signals Microsoft’s dedication to enhancing AI-driven productivity tools. By expanding access to Copilot’s powerful features, users can expect improved efficiency, smarter assistance, and seamless integration across Microsoft’s ecosystem.

As AI technology continues to evolve, Microsoft is positioning itself at the forefront of innovation, ensuring both casual users and professionals can leverage the best AI tools available.

Stay tuned for further updates as Microsoft rolls out more enhancements to its AI offerings.

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Google Launches Free AI Coding Tool for Individual Developers

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Google Launches Free AI Coding Tool for Individual Developers

Google has introduced a free version of Gemini Code Assistant, its AI-powered coding assistant, for solo developers worldwide. The tool, previously available only to enterprise users, is now in public preview, making advanced AI-assisted coding accessible to students, freelancers, hobbyists, and startups.

More Features, Fewer Limits

Unlike competing tools such as GitHub Copilot, which limits free users to 2,000 code completions per month, Google is offering up to 180,000 code completions—a significantly higher cap designed to accommodate even the most active developers.

“Now anyone can easily learn, generate code snippets, debug, and modify applications without switching between multiple windows,” said Ryan J. Salva, Google’s senior director of product management.

AI-Powered Coding Assistance

Gemini Code Assist for individuals is powered by Google’s Gemini 2.0 AI model and offers:
Auto-completion of code while typing
Generation of entire code blocks based on prompts
Debugging assistance via an interactive chatbot

The tool integrates with popular developer environments like Visual Studio Code, GitHub, and JetBrains, supporting a wide range of programming languages. Developers can use natural language prompts, such as:
Create an HTML form with fields for name, email, and message, plus a submit button.”

With support for 38 programming languages and a 128,000-token memory for processing complex prompts, Gemini Code Assist provides a robust AI-driven coding experience.

Enterprise Features Still Require a Subscription

While the free tier is generous, advanced features like productivity analytics, Google Cloud integrations, and custom AI tuning remain exclusive to paid Standard and Enterprise plans.

With this move, Google aims to compete more aggressively in the AI coding assistant market, offering developers a powerful and unrestricted alternative to existing tools.

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Elon Musk Unveils Grok-3: A Game-Changing AI Chatbot to Rival ChatGPT

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Elon Musk Unveils Grok-3: A Game-Changing AI Chatbot to Rival ChatGPT

Elon Musk’s artificial intelligence company xAI has unveiled its latest chatbot, Grok-3, which aims to compete with leading AI models such as OpenAI’s ChatGPT and China’s DeepSeek. Grok-3 is now available to Premium+ subscribers on Musk’s social media platform x (formerly Twitter) and is also available through xAI’s mobile app and the new SuperGrok subscription tier on Grok.com.

Advanced capabilities and performance

Grok-3 has ten times the computing power of its predecessor, Grok-2. Initial tests show that Grok-3 outperforms models from OpenAI, Google, and DeepSeek, particularly in areas such as math, science, and coding. The chatbot features advanced reasoning features capable of decomposing complex questions into manageable tasks. Users can interact with Grok-3 in two different ways: “Think,” which performs step-by-step reasoning, and “Big Brain,” which is designed for more difficult tasks.

Strategic Investments and Infrastructure

To support the development of Grok-3, xAI has made major investments in its supercomputer cluster, Colossus, which is currently the largest globally. This infrastructure underscores the company’s commitment to advancing AI technology and maintaining a competitive edge in the industry.

New Offerings and Future Plans

Along with Grok-3, xAI has also introduced a logic-based chatbot called DeepSearch, designed to enhance research, brainstorming, and data analysis tasks. This tool aims to provide users with more insightful and relevant information. Looking to the future, xAI plans to release Grok-2 as an open-source model, encouraging community participation and further development. Additionally, upcoming improvements for Grok-3 include a synthesized voice feature, which aims to improve user interaction and accessibility.

Market position and competition

The launch of Grok-3 positions xAI as a major competitor in the AI ​​chatbot market, directly challenging established models from OpenAI and emerging competitors such as DeepSeek. While Grok-3’s performance claims are yet to be independently verified, early indications suggest it could have a significant impact on the AI ​​landscape. xAI is actively seeking $10 billion in investment from major companies, demonstrating its strong belief in their technological advancements and market potential.

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