Category: Artificial Intelligence (AI)

ChatGPT Connectors, AI-Human Relationships, New AI Job Data, OpenAI Court-Ordered to Keep ChatGPT Logs & WPP’s Large Marketing Model

Posted on by faz_business


What happens when AI feels human?

This week, Paul and Mike unpack OpenAI’s newest releases, the growing emotional bonds people are forming with AI, and fresh data on how AI is reshaping jobs—for better and worse. 

They also reexamine AGI timelines, AI cybersecurity, and why verifying AI output might be the next big challenge. Plus: Reddit sues Anthropic, Google drops expert AI avatars, and more. Continue reading “ChatGPT Connectors, AI-Human Relationships, New AI Job Data, OpenAI Court-Ordered to Keep ChatGPT Logs & WPP’s Large Marketing Model”

How to Use AI as a Productivity Tool with Mike Kaput [MAICON 2025 Speaker Series]

Posted on by faz_business


MAICON brings together top visionaries and experts in the field of AI, during a three-day conference packed with actionable sessions and networking events—all to position you as the change agent your organization (and career) needs. In this ongoing speaker series, we’re featuring these extraordinary leaders, with forward-looking predictions, actionable tips you can use today, and a preview of their MAICON 2025 sessions. Continue reading “How to Use AI as a Productivity Tool with Mike Kaput [MAICON 2025 Speaker Series]”

Introducing Support for AI Agents and Model Context Protocol (MCP)

Posted on by faz_business


This blog post focuses on new features and improvements. For a comprehensive list, including bug fixes, please see the release notes.

We’re rolling out two key features that change how you build AI using Clarifai: support for AI agents and the Model Context Protocol (MCP).

AI Agents: Building Smarter, Autonomous AI

AI agents are a big step beyond single-task AI models. Instead of just doing one thing, an agent can reason, plan, and take multiple actions to achieve a larger goal. Think of them as AI programs that can break down complex problems and use different tools or models to get the job done.

With this release, we’re making it easier to build these agents on Clarifai. This means you can:

  • Create goal-oriented AI: Design systems that work towards specific objectives, not just providing isolated answers.
  • Chain together AI capabilities: Combine multiple models and tools on our platform (or external ones) in sequence to solve more complex problems.
  • Automate multi-step processes: Reduce manual effort by having AI handle entire workflows.

This opens up possibilities for more advanced AI applications that can make decisions and adapt to situations. 

To show you what and how you can build AI Agents, we’ve created an AI Blog Writing Agent using Clarifai and CrewAI! 

In this video, we build an AI-powered blog writing agent that generates complete blog posts from scratch. We use:

  • CrewAI to manage agent orchestration
  • Gemini 2.5 Pro model powered by Clarifai
  • Streamlit to create a simple and interactive UI

MCP: Giving AI Agents Real-World Context

For AI agents to be truly useful, they need access to real-time information from outside their internal data. The Model Context Protocol (MCP) solves this by providing a standardized way for AI models and agents to interact with external data sources and APIs.

We’ve integrated MCP, allowing you to:

  • Connect agents to your data: Bridge your AI agents with your company’s databases, data lakes, and other internal systems.
  • Access live data: Give your agents current information from external APIs, like financial data, news, or sensor readings.
  • Build custom data bridges: Create your own MCP servers to tailor how your AI agents access and use external context.

Combining AI agents with MCP means your AI can not only think and plan but also actively fetch and use real-world information, making your AI applications more powerful and relevant. Learn more here.

Clarifai now offers an OpenAI-compatible API endpoint, allowing you to use your existing OpenAI code and workflows to run inferences with Clarifai models, including those that integrate or wrap OpenAI models.

The compatibility layer automatically translates OpenAI-style requests into Clarifai API calls, so you can access Clarifai’s broad model library as custom tools within your OpenAI-based projects.

This removes the need to rewrite your code for Clarifai’s native API, making integration fast and simple for teams already familiar with OpenAI.

Below is an example that uses the OpenAI Python client library to interact with a Clarifai model via Clarifai’s OpenAI-compatible API endpoint. Read more here

We have made numerous improvements to the Python SDK to enhance stability, usability, and integration capabilities:

We’re excited about the new Agentic and MCP support in Clarifai and are looking forward to seeing the kinds of applications the community builds around it. Check out our video tutorial on building an AI Blog Writing Agent to see AI Agents in action. You can also explore more examples here.

Explore the documentation and start building today. We’ll also be adding more agent examples and templates soon, so stay tuned.

If you have any questions, send us a message on our Community Discord channel. Thanks for reading!



Google I/O, Claude 4, White Collar Jobs Automated in 5 Years, Jony Ive Joins OpenAI, and AI’s Impact on the Environment

Posted on by faz_business


This week was a masterclass in how fast AI is moving. Join us as Paul and Mike break down everything from Google’s massive I/O announcements (Gemini, Veo, Live, and more), to Claude Opus 4’s impressive—and borderline alarming—capabilities and Paul shares a wild experiment that shows how current AI tools may already be enough to automate white-collar jobs.

Rapid-fire topics include OpenAI’s $6.5B Jony Ive acquisition, Microsoft’s overlooked Build event, AI’s energy problem, a chatbot benchmark startup raising $100M, and more. Continue reading “Google I/O, Claude 4, White Collar Jobs Automated in 5 Years, Jony Ive Joins OpenAI, and AI’s Impact on the Environment”

AI Will Destroy 50% of Entry-Level Jobs, Veo 3’s Scary Lifelike Videos, Meta Aims to Fully Automate Ads & Perplexity’s Burning Cash

Posted on by faz_business


Anthropic’s CEO says AI could wipe out half of all entry-level white-collar jobs—and people are finally paying attention. We unpack why this moment feels like a tipping point, look at new data that backs it up, and talk about what needs to happen next. Plus: Meta’s AI shake-up, Miami schools go all-in on Gemini, the rise of grief bots, and AI videos that mess with your mind. Continue reading “AI Will Destroy 50% of Entry-Level Jobs, Veo 3’s Scary Lifelike Videos, Meta Aims to Fully Automate Ads & Perplexity’s Burning Cash”

Planet Process Webinar

Posted on by faz_business


Rainbird CTO, Ben Taylor, explores a new frontier of automation, where AI-powered solutions move beyond simple processes to tackle more complex challenges.

In this webinar, we will cover

  • Explore Rainbird’s Neurosymbolic platform
  • Discuss a client success story
  • How to build a knowledge map in Rainbird
  • Prior authorisation application walk-through

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