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Alex Vayner, Chief Growth Officer at SparkBeyond, shares how AI-powered optimization is transforming enterprise operations—using structured data, LLMs, and a proprietary hypothesis engine to continuously improve KPIs like customer retention and supply chain efficiency. Click the video above to watch this interview today.

Today’s Headlines:

• SparkBeyond Launches AI Platform to Boost Enterprise Performance - SparkBeyond has unveiled Always-Optimized, an AI-powered platform designed to continuously discover insights and recommend actions that enhance enterprise performance metrics. The new system targets structured operational data—where over 80% of enterprise value is often underutilized—offering a practical application of AI beyond generative text.

  
  
  

  
  

• Top OpenAI Researcher Denied Green Card, Raising AI Talent Concerns - A prominent AI researcher at OpenAI, known for her work on GPT-4.5, has been denied a U.S. green card after over a decade of residence in the country. The situation has raised fresh concerns about how U.S. immigration policies may be affecting the nation’s ability to retain top-tier AI talent.
  
  
  
  
  

• Meta Launches Standalone AI App Powered by Llama 4 - Meta has officially released its new standalone Meta AI app, an AI assistant designed for voice-first, personalized interactions. Built on Meta’s advanced Llama 4 language model, the app expands Meta AI beyond its original presence on Facebook, Instagram, Messenger, and WhatsApp—offering a dedicated space for more natural conversations, creative tools, and access across devices.
  
  
  
  
  

• Meta Unveils Llama API for Developers at LlamaCon - At its first-ever LlamaCon developer conference, Meta announced a limited preview of the Llama API, a new tool giving developers hands-on access to its Llama series of open-source AI models. The move signals Meta’s intent to strengthen its ecosystem of developers and maintain a competitive edge in the rapidly growing open model space.

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AI In Action: Quick Tutorials

In this section, you'll find short, practical tutorials that walk you through using the latest AI tools, helping you quickly unlock their full potential.

Today’s AI in Action: Add OpenAI's o4-mini model to your projects

In this tutorial, you will learn how to use OpenAI’s o4-mini API to integrate powerful AI reasoning capabilities into your existing projects, with a low cost and a high throughput.

Step-by-step:

• Obtain an API key from OpenAI’s platform by creating a new secret key in your account dashboard.

• Set up your environment in Google Colab and install the OpenAI library with pip install openai.

• Implement the API call by importing the OpenAI client, setting your API key, and creating a completion with the o4-mini model.

• Customize the content prompt for your needs and create reusable functions to integrate the model's capabilities throughout your project workflow.

Pro tip: You can also reduce costs during development by testing with shorter outputs and fewer API calls before scaling up your implementation. Here is a starting template, just make sure to add your own API key.

AI Tools:

Please note that AiNews.com does not endorse the following AI tools. We aim to share the tools we come across that you may find helpful in you work or daily lives.

• Replit: Turn your ideas into apps. What will you create? The possibilities are endless. Simply type your idea in every day language and watch your app come to life.
  
  

• Smart Clerk: Turn Your Financial Documents into Bookkeeper-Ready Reports. Use AI to process any bank or credit card statement, delivering organized reports optimized for accounting.
  
  

• CoSupport: The Ultimate Conversational AI Chatbot for Customer Support and Sales.
  
  

• Sugarwork: Reinventing the wheel is costing your business money. Own your invaluable, intangible, intellectual, institutional knowledge on an AI-powered technology platform.

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