In this episode, we explore the bold question: could artificial intelligence ever replace a high-profile leader like Salesforce CEO Marc Benioff? We break down what a CEO really does, from shaping vision and company culture to building relationships and making complex decisions. Then we compare those skills to AI’s current capabilities — where it shines, where it falls short, and what the future might hold. Is AI ready to take the driver’s seat, or will human leadership remain irreplaceable? Tune in to find out.

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Are your AI-generated responses falling flat? Are you getting generic, off-target, or downright useless results from ChatGPT, Gemini, or Copilot? It’s not the AI’s fault — it’s your prompts.

In this eye-opening episode, we break down why most people are completely misusing AI prompts — and how a few simple tweaks can transform your results from meh to mind-blowing. We’ll expose the common mistakes 95% of users make (yes, you might be one of them), and reveal the proven prompt frameworks that experts use to get precise, creative, and actionable outputs — every single time.

From the "Forget-Me-Not" mistake to the magic of role prompting and chain-of-thought techniques, we’re giving you the exact templates and strategies that actually work. Whether you're writing emails, generating content, coding, or brainstorming ideas, this episode will upgrade your AI game in under 30 minutes.

💡 Ready to stop wasting time on bad prompts? Hit play and learn the prompts that actually unlock AI’s full potential.

🔔 Subscribe for more AI tips, productivity hacks, and tech insights every week!

#AI #ChatGPT #PromptEngineering #ArtificialIntelligence #Productivity #TechTips #FutureOfWork

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Does Salesforce CEO Marc Benioff think AI could replace him one day? His answer might surprise you. Tune in to The Circuit with Emily to learn more about how AI is already making inroads at the company.

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© Praimeri | All rights reserved

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We first go through how AI is a broad field of study that encompasses as a sub-field.

We then break down Machine Learning into supervised and unsupervised models, using real-world examples to illustrate their functions and differences.

We move deeper into Deep Learning: Learn about artificial neural networks and the power of semi-supervised learning in applications like fraud detection in banking.

Then we delve into Generative AI, differentiating it from discriminative models and demonstrating its capabilities in creating new, innovative outputs.

Finally we walk through Large Language Models (LLMs) and uncover the significance of LLMs in AI, their pre-training processes, and their customization for specific industry applications

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Voiced by [Wasay]

Produced by [Team Praimeri]

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© Praimeri | All rights reserved

For Collaborations & Partnerships: 

Contact: [email protected]

Hosted on Acast. See acast.com/privacy for more information.

From hyper-realistic deepfake videos to AI-generated music, art, and news articles indistinguishable from human work—technology has reached a tipping point. In this eye-opening episode, we explore the growing challenge of telling what’s real and what’s artificially generated in the digital world.

We dive into jaw-dropping examples: an AI that mimics your voice with just 3 seconds of audio, synthetic influencers with millions of followers, and even fake scientific papers accepted by real journals. With AI advancing faster than detection tools, how can we trust what we see, hear, or read?

Featuring insights from AI ethicists, media forensics experts, and creators on both sides of the spectrum, we ask: Are we entering an era of "truth decay"? What happens to trust, identity, and creativity when AI can perfectly imitate human expression?

And here’s the twist—this episode description itself might have been written by AI. So… do you even know if this is real?

Join us as we investigate the uncanny world where artificial intelligence doesn’t just assist humans—it convincingly replaces them. Welcome to the age of Is This AI or Real?

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A mysterious document labeled “YOFO WILDFLOWER” has surfaced online, allegedly revealing secret internal projects, future AI roadmaps, and controversial strategies from OpenAI. The leak has sent shockwaves through the tech world—sparking debates about AI ethics, corporate transparency, and the true intentions behind OpenAI’s next-generation models.

But here’s the big question: Was this a genuine security breach… or a carefully orchestrated leak designed to shape public perception?

In this explosive episode, we unpack the YOFO WILDFLOWER documents—what they claim, who might be behind them, and whether they hold any truth. We bring in cybersecurity experts, AI insiders, and tech journalists to analyze the evidence: Is OpenAI secretly developing superintelligent systems beyond public scrutiny? Or is this a strategic narrative leak to influence investors, regulators, or competitors?

From alleged AI alignment bypasses to unreleased models with human-like reasoning, we separate fact from speculation and explore the implications of living in an era where leaks—real or staged—can redefine the future of artificial intelligence.

Tune in as we investigate: Was YOFO WILDFLOWER a shocking breach… or the most brilliant PR stunt in AI history?

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In this thought-provoking episode, we dive deep into one of the most pressing questions of our time: Is artificial intelligence surpassing human intelligence and taking over jobs across industries? From creative fields to medicine, law, and engineering, AI is making rapid inroads—automating tasks, enhancing decision-making, and even generating original content. But what does this mean for the future of work and human uniqueness?

We speak with AI researchers, ethicists, and professionals whose fields are being transformed by machine learning to explore both the promises and perils of this technological revolution. Are we facing a future where human skills become obsolete—or can we adapt, collaborate with AI, and redefine what it means to be indispensable?

Join us as we unpack the real impact of AI on the human mind, job markets, and society—separating hype from reality and imagining a future where humans and machines coexist productively.

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A tiny startup from Singapore just dropped a new AI agent—and it's shaking up the entire AI world. Called HRM (Hierarchical Reasoning Model), this 27-million parameter model is beating giants like Claude and OpenAI's o3 mini high on tough reasoning tasks, while running on just one GPU. With a brain-inspired architecture, no pretraining, and open-source access, HRM might be the most important step toward real AGI we’ve seen in years.

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Authors: A.G. Lafley (former CEO of Procter & Gamble) & Roger L. Martin (strategy advisor)

Core Idea:

Strategy isn’t about vague goals or broad aspirations—it’s about making clear, specific choices that give a company a competitive advantage. The book breaks down strategy into a practical framework that any organization can use to win in its chosen market.

1. What is your winning aspiration?

• Define your purpose: What does winning look like for your business?
• It’s not just about surviving or being “the best” — it's about where and how you aim to win.

1. Where will you play?

• Choose the playing field: Which markets, geographies, customer segments, channels, etc.?
• You can’t play everywhere — be focused.

1. How will you win?

• Define your competitive advantage: Cost leadership? Differentiation?
• What makes you better than others in your chosen space?

1. What capabilities must be in place?

• Identify the unique skills, tech, or systems you need to execute your strategy.
• Think: product innovation, supply chain, marketing prowess, etc.

1. What management systems are required?

• Put the structures in place: metrics, culture, reviews, incentives.
• These keep your strategy alive and evolving.

Lafley shares how these principles helped transform P&G. For example:

• Focused on consumer-driven innovation.
• Picked “categories and countries” where they could lead.
• Invested in specific brands instead of spreading too thin.

• Strategy is about making tough choices, not trying to be all things to all people.
• A good strategy is coherent, aligned across all five questions.
• Without a clear "where to play" and "how to win," you're just guessing.

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