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Imagine talking to your terminal like it’s your coding assistant.
 Now, it’s real.

In this episode of the Colaberry AI Podcast, we explore OpenAI’s new Codex CLI—an open-source command-line interface tool that brings natural language coding directly to your local terminal.

We discuss:
 🖥️ How Codex CLI reads, edits, and builds code from simple instructions
 📸 The mind-blowing demo: turning screenshots into functioning code
💡 What this means for developers and productivity
🔐 How it handles tasks securely—no copy-paste to the cloud required
🤖 Why this is another big step in the era of AI-powered development

From building features like dark mode to launching apps from scratch—your terminal just got smarter.

🔗 References:

• OpenAI Codex CLI Demo (YouTube)
• TechCrunch: Codex CLI Launch

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🎙 Disclaimer:
The insights and analyses presented in this podcast are AI-generated and for informational purposes only.
We encourage listeners to cross-verify all information before drawing conclusions.
Colaberry AI Podcast does not take responsibility for any opinions expressed.

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What if AI could understand engineering blueprints, technical documents, and industry jargon as fluently as a trained engineer?

In this episode of the Colaberry AI Podcast, we explore Siemens’ Industrial Foundation Model—a purpose-built generative AI system designed specifically for industrial and engineering applications.

Here’s what we cover:
 ⚙️ How Siemens is using generative AI to decode technical industrial language
 🤖 The role of AI in enhancing human-machine collaboration in engineering
🌍 Why Siemens is inviting collaboration from across the industrial ecosystem
🚀 The potential of domain-specific foundation models to redefine industries

This is more than just AI—it’s a step toward industrial intelligence at scale.

🔗 Reference:
Siemens: Industrial Foundation Model

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🎙 Disclaimer:
The insights and analyses presented in this podcast are AI-generated and for informational purposes only.
Please cross-verify all information before forming conclusions.
Colaberry AI Podcast does not take responsibility for any opinions expressed.

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Can AI help where even experts fall short?

In this episode of the Colaberry AI Podcast, we unpack a powerful story:
A mother used ChatGPT to identify a rare condition—Tethered Cord Syndrome—in her 4-year-old son, after 17 doctors failed to diagnose him correctly.

We discuss:
 🧠 How ChatGPT arrived at the rare diagnosis
 💡 What this means for the future of AI in healthcare
 ⚠️ The role of AI as a support—not a replacement—for doctors
 🔍 Real-world limits and ethical concerns around AI in medicine

This isn’t science fiction—this is what happens when tech meets tenacity.

🔗 Reference:
News18 – ChatGPT Aids in Rare Diagnosis

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🎙 Disclaimer:
The insights and analyses presented in this podcast are AI-generated and for informational purposes only.
We encourage listeners to cross-verify all information before drawing conclusions.
Colaberry AI Podcast does not take responsibility for any opinions expressed.

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How do you make AI actually useful in the workplace?
Cohere might have an answer.

In this episode of the Colaberry AI Podcast, we dive into Cohere’s Embed 4—a powerful new tool for search and retrieval across text, images, and beyond. Tailored for enterprise use, it’s more than just an upgrade—it’s a shift toward smarter, multimodal business AI.

We cover:
 🔍 What makes Embed 4 stand out in the world of data retrieval
 🧠 Cohere’s full AI platform—featuring models like Command and Aya Expanse
🔐 Security & customization for real enterprise deployment
🔬 The role of Cohere Labs in driving research-backed innovation
🌐 Why companies are turning to domain-specific, trusted AI solutions

Whether you’re building AI into your business or exploring enterprise LLMs—this episode gives you a front-row seat to what Cohere is shaping next.

🔗 Reference:
Read the full announcement

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🎙 Disclaimer:
The insights and analyses presented in this podcast are AI-generated and for informational purposes only.
We encourage listeners to cross-verify the information before drawing conclusions.
Colaberry AI Podcast does not take responsibility for any opinions expressed.

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Imagine turning a single paragraph of text into a full video—with voiceover, background music, and visuals—all powered by AI.
Welcome to the world of Google Cloud’s Vertex AI Studio and Generative AI Studio.

In this episode of the Colaberry AI Podcast, we explore how Google is simplifying generative AI workflows for developers, creators, and enterprises.

You’ll discover:
 🎬 How Google’s AI Studio converts text into videos with voiceovers and effects
 🧠 The power of Gemini models and model tuning using your own data
🔐 Why enterprise-grade security, governance, and MLOps tools matter
🛠️ How managed endpoints and integrations speed up AI deployment
🎁 Bonus: Learn how to access free generative AI trials as a new user

From rapid prototyping to building full-scale AI products—this is the future of creative automation and enterprise AI, made accessible.

🔗 Reference Links:

• Vertex AI Introduction
• Generative AI Studio
• Hindustan Times: Text to Video by Google AI Studio

🎧 Explore more AI topics at:
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🎙 Disclaimer:
The insights and analyses presented in this podcast are AI-generated and for informational purposes only.
We encourage listeners to cross-verify the information before drawing conclusions.
Colaberry AI Podcast does not take responsibility for any opinions expressed.

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What if your AI infrastructure was faster than a supercomputer—and more energy-efficient too?

In this episode of the Colaberry AI Podcast, we unpack the power and purpose of Google’s newly launched Ironwood TPUs—the seventh-generation AI chips designed for the “age of inference.”

You’ll learn:
 ⚡ How Ironwood improves speed, scalability, and sustainability
 💡 Why inference—not just training—is the new AI battleground
 📊 What this means for enterprise AI deployments across industries
 🔁 The architectural upgrades that outperform even some supercomputers

Whether you're in tech, data science, or just AI-curious, this episode will give you a clear look into the next big leap in AI hardware.

🔗 References:

• Google Blog – Ironwood TPU
• Forbes – Enterprise AI with Ironwood

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🎙 Disclaimer:
The insights and analyses presented in this podcast are AI-generated and for informational purposes only.
We encourage listeners to cross-verify information before drawing conclusions.
Colaberry AI Podcast does not take responsibility for any opinions expressed.

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Can generative AI accelerate innovation in manufacturing?
 Microsoft thinks so—and they’re showing us how.

In this episode of the Colaberry AI Podcast, we dive into how Microsoft Cloud for Manufacturing is transforming product engineering and R&D through generative AI.

We explore:
 🏭 How manufacturers are using AI to reduce costs and time-to-market
 📊 Real-world use cases from partners like Siemens and PTC
🔁 The rise of AI-powered digital threads across the value chain
🤖 How generative AI is improving design, data management, and collaboration
🌍 What this means for the future of smart, scalable, and sustainable manufacturing

This is a must-listen for anyone interested in the intersection of AI, industrial transformation, and next-gen product development.

🔗 Reference Link:
Read the full Microsoft article

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🎙 Disclaimer:
The insights and analyses presented in this podcast are AI-generated and for informational purposes only.
We encourage listeners to cross-verify the information before drawing conclusions.
Colaberry AI Podcast does not take responsibility for any opinions expressed.

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Ever wondered how AI agents talk to each other in real time?
 In this episode of the Colaberry AI Podcast, we break down how to build Model Context Protocol (MCP) servers using Server-Sent Events (SSE)—and how they integrate with the NANDA client.

We cover:
 🛠️ Tools & protocols to set up your own MCP server
 🔄 Real-time streaming with SSE in Python
 🧪 Testing, configuration, and deployment best practices
 🧩 Using the Nanda Registry to list and connect AI agents and resources
🔒 Security tips and error-handling advice to build robust systems

Whether you're an AI developer or just curious about real-time AI infrastructure, this episode gives you a behind-the-scenes look at the architecture powering the next-gen AI ecosystem.

🔗 Reference Links:

• NANDA Server GitHub Repo
• Nanda Registry

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🎙 Disclaimer:
The insights and analyses presented in this podcast are AI-generated and for informational purposes only.
We encourage listeners to cross-verify the information before drawing conclusions.
Colaberry AI Podcast does not take responsibility for any opinions expressed.

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How Google’s A2A protocol is reshaping collaboration between AI agents across platforms

📝 Description:

Can AI agents work together like humans? Google Cloud’s new Agent2Agent (A2A) protocol says—yes.

In this episode, we explore:

• 🧠 What A2A means for the future of multi-agent AI collaboration
• 🤝 How 50+ tech partners are backing this open standard
• 🔐 Why security, flexibility, and long-task support are key
• 🛠️ How developers can tap into A2A with tools and docs

Whether you're an AI builder or just AI-curious, this episode unpacks how interoperability could define the next generation of intelligent systems.

🔗 Reference:
Google Developers Blog – A2A Protocol

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🎙 Disclaimer:
The insights and analyses presented in this podcast are AI-generated and for informational purposes only.
We encourage listeners to cross-verify the information before drawing conclusions.
Colaberry AI Podcast does not take responsibility for any opinions expressed.
🚀 Tune in, learn, and be part of the AI revolution!

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What if your machines could warn you before they failed?

In this episode of the Colaberry AI Podcast, we spotlight how BlueScope, a leading Australian steel manufacturer, embraced Senseye Predictive Maintenance to cut downtime, save costs, and drive a cultural shift across their global operations.

Here’s what we explore:
 🏭 The real-world challenges of downtime in heavy industries
 📊 How IoT-powered vibration monitoring helps predict equipment failures
 🧠 Why key metrics like avoided downtime gave management new visibility
 🔧 From preventive to predictive: how maintenance culture is evolving
 🚀 BlueScope’s shift toward digital transformation with scalable tech

This episode is a powerful example of how AI, IoT, and predictive analytics are reshaping legacy industries from the inside out.

🔗 Reference Link:
BlueScope Case Study – Siemens PDF

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🎙 Disclaimer:
The insights and analyses presented in this podcast are AI-generated and for informational purposes only.
We encourage listeners to cross-verify the information before drawing conclusions.
Colaberry AI Podcast does not take responsibility for any opinions expressed.

🚀 Tune in, learn, and be part of the AI revolution!

Check Out Website: www.colaberry.ai