Get to know about the podcast and the host!

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Pre-order AI, Machine learning, Deep Learning: From Novice to Pro

Welcome to this week's AI Weekly Recap, where we break down the biggest developments in artificial intelligence, machine learning, and tech policy. This episode covers:

• Google vs. Chegg: The AI antitrust battle that could change search forever
• OpenAI’s GPT-4.5: What’s new in the latest AI model release
• $100B AI Investment: France makes a massive bet on AI
• AI in Healthcare: NHS hospitals using AI for surgery prioritization
• AI Job Automation: Klarna’s chatbot replaces 700 customer service jobs

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 Connect with me on social media:
🔹 LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/

🔹 Twitter: https://x.com/TolulopeAwoyomi

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📖 Pre-Order My Book: "AI, Machine Learning, Deep Learning: From Novice to Pro"
Get ahead in AI and tech! Pre-order here: https://a.co/d/bUOyKqF

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Watch 24/7 AI News Recaps on YouTube!
Stay up to date with nonstop AI insights and discussions →  https://www.youtube.com/@EverythingAIandLawPodcast

Stay updated with the latest AI news, breakthroughs, and legal updates!

Every Sunday, we bring you a detailed recap of everything that happened in AI this past week. From AI advancements, regulations, and controversies to startups and big tech moves, we’ve got you covered!

Topics Covered in This Live Stream:

✅ Latest AI Developments – New AI models, research, and innovations.

✅ AI Laws & Regulations – Legal challenges and government policies.

✅ Tech Industry Updates – AI startups, acquisitions, and investments.

✅ AI Controversies & Ethical Debates – The impact of AI on jobs, privacy, and more.

New AI Weekly Recap Every Sunday! Don't Miss Out!

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Pre-order: AI, Machine learning, Deep Learning: From Novice to Pro

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Are AI models and AI tools the same? Not quite! In this video, we break down the key differences between AI models and AI tools.

• AI Models: Provide intelligence through machine learning, deep learning, and NLP.
• AI Tools: Utilize AI models to perform specific tasks in business, healthcare, and more.

Connect with Tolulope Awoyomi::

• LinkedIn
• Twitter/X

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Pre-order: AI, Machine Learning, Deep Learning: From Novice to Pro

"AI is still a solution in search of a problem." - Jason Greenwood

In this final episode of 2024, Tolulope Awoyomi (Tolu) is joined by Jason Greenwood, founder of Greenwood Consulting and host of the Ecommerce Edge podcast.

Together, they dive deep into how AI is revolutionizing e-commerce, the rise of digital nomadism, and the future of personal branding in an AI-driven world.

Key Topics Covered:

• AI & E-Commerce – How AI is transforming online businesses
• Are We in an AI Bubble? – Hype vs. Reality of AI’s growth
• Balancing Human Touch & Automation – The role of AI in decision-making
• Digital Nomad Lifestyle & AI – Challenges and opportunities
• Personal Branding in the AI Era – Authenticity vs. AI-driven content

Jason shares his hands-on experience with AI tools, offering practical insights for entrepreneurs, content creators, and digital nomads navigating this evolving space.

Whether you're a tech enthusiast, e-commerce entrepreneur, lawyer, or exploring the nomadic lifestyle, this episode is packed with valuable insights!

Chapters:

• 0:00 AI version of Tolu - Gratitude Message
• 00:27 Intro Video
• 00:44 Welcome & Introductions
• 02:26 AI + E-Commerce
• 05:28 Are We in an AI Bubble?
• 09:06 Human Touch vs. Automation
• 14:02 AI’s Benefits vs. Risks
• 17:52 Elon Musk’s “Ant Conundrum” Analogy
• 20:23 Authenticity in Personal Branding
• 24:28 Digital Nomadism
• 30:34 AI’s Role in the Nomadic Lifestyle
• 32:35 AI is Your Friend
• 32:57 Advice for Aspiring Creators (Closing Thoughts)
• 35:14 Outro

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Pre-order: ⁠AI, Machine Learning, Deep Learning: From Novice to Pro

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Connect with Us:

• Tolulope Awoyomi
• Jason Greenwood

Expertise + High-Quality Data: The True Fuel for AI

In a world dominated by AI tools trained on average internet data, expertise is becoming more valuable than ever. While many say “data is the new oil,” I believe that expertise + rare, high-quality data is the real game-changer.

In this episode of the Everything AI & Law Podcast, I sit down with Cody Schneider, Co-founder of Swell AI, to discuss the evolving AI landscape, data strategies, and the future of automation.

Key Topics Covered:

• AI’s Proliferation – Is AI taking over or collaborating with humans?
• AI in Law – How AI is disrupting legal services
• Data Strategies – APIs vs. Custom Models & Privacy Concerns
• AI Implementation – Best strategies for businesses adopting AI
• Will We Achieve AGI? – The future of AI & artificial general intelligence
• The Role of Expertise in AI – Why human expertise is more valuable than ever
• AI & The Future of Work – How AI will reshape jobs & human roles
• Authenticity in AI Content – Balancing automation with credibility
• What’s Next for Swell AI & Draft Horse AI? – Insights from Cody

This episode is perfect for: 1) Entrepreneurs, tech enthusiasts, and business leaders navigating AI adoption; 2) Data scientists & AI researchers exploring the future of AI models; 3) Legal professionals curious about AI’s impact on the legal sector.

Listen now and unlock valuable insights on the future of AI, data, and expertise!

Chapter Timestamps:

• 00:00 Video Snippet
• 00:17 Video Intro
• 00:27 Cody Schneider’s Introduction (Draft Horse AI & Swell AI)
• 03:16 AI’s Proliferation: Taking Over or Collaborating?
• 05:54 AI in the Legal Sector
• 12:12 Data Strategies: APIs vs. Custom Models (Privacy Concerns)
• 16:33 AI Implementation: Strategies for Businesses
• 21:57 Will We Achieve AGI?
• 25:38 Balancing AI Enthusiasm with Skepticism
• 30:09 Impact of AI on Jobs & Human Roles
• 33:00 Authenticity in AI-Generated Content (Expertise is More Valuable)
• 36:31 Data is the New Oil
• 39:02 AI Beyond Generative Models
• 41:16 What’s Next for Draft Horse AI & Swell AI?
• 43:23 Advice for Businesses & AI Learners
• 47:36 Final Thoughts & Interesting Closing Conversation
• 48:54 Outro

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Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠

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Connect with Cody Schneider:

• Twitter/X
• LinkedIn
• Website: swellai.com

Connect with Tolulope Awoyomi:

• Twitter/X
• LinkedIn

As AI rapidly evolves, how can we ensure transparency, accountability, and ethical innovation? In this episode of the Everything AI & Law Podcast, I (Tolulope Awoyomi) sit down with Lusine Petrosyan and Trung Lam, two AI experts from the National Fair Housing Alliance, to discuss the intersection of AI governance and engineering.

Key Discussion Topics:

• Textrify: AI vs. Human Content Detection – A tool bridging policy & engineering
• AI Detection & Accountability – The challenges of distinguishing AI-generated content
• The ‘Cat and Mouse’ Race – AI developers vs. detection systems
• Balancing AI Innovation & Regulation – Finding the right policy approach
• De-biasing AI Models – Technical & policy-driven solutions
• Interdisciplinary Collaboration in AI – Why policy & engineering must work together
• AI Ethics & Public Perception – Addressing fears & misconceptions
• The Future of AI & Policy – What’s next in AI governance?

Lusine, an AI governance researcher, and Trung, an AI engineer, share their collaborative journey developing Textrify, a tool designed to distinguish between AI-generated and human content. Our discussion highlights the importance of cross-disciplinary collaboration in ensuring ethical and responsible AI development.

Whether you’re an AI enthusiast, policymaker, software engineer, or just curious about the future of AI accountability, this episode is packed with valuable insights!

Chapter Timestamps:

• 00:00 Snippet
• 01:21 Textrify: Bridging Policy & Engineering in AI
• 06:21 The Role of AI Detection Tools in Accountability
• 10:56 The 'Cat and Mouse' Race in AI Detection
• 13:51 Balancing Innovation & Regulation
• 21:36 De-biasing AI: Technical & Policy Approaches
• 27:31 Importance of Interdisciplinary Collaboration in AI
• 32:36 Ethics, Public Fear & AI’s Future
• 41:36 Exciting Prospects in AI & Policy
• 46:56 Closing Thoughts & Key Takeaways

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Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠

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Connect with Us:

• Tolulope Awoyomi
• Lusine Petrosyan
• Trung Lam

In this solo episode, I break down two of the most important subfields of Artificial Intelligence (AI): Machine Learning and Deep Learning.

Understanding these concepts is crucial for anyone interested in AI, whether you're a beginner or an experienced tech enthusiast.

What You’ll Learn in This Episode:

• Machine Learning (ML) – How AI learns patterns from data
• Deep Learning (DL) – Neural networks and their role in automation
• Key Differences Between ML & DL – When to use each approach

Listen now to get a clear and practical understanding of AI’s core subfields!

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Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠

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Connect with Tolulope Awoyomi:

• LinkedIn
• Twitter/X

As AI technology advances, the legal landscape is evolving to address digital evidence, deepfakes, and cybersecurity risks. How do courts verify AI-generated vs. authentic content? What are the legal and technical challenges ahead?

In this episode, Tolulope Awoyomi is joined by W. Curtis Preston, a cybersecurity and data recovery expert, to explore the intersection of AI, law, and digital forensics.

Key Discussion Topics:

• Technical vs. Legal Expertise – Why both perspectives matter in AI law
• AI in the Legal Industry – Current and future impact of AI on legal practice
• Deepfakes & Digital Evidence – How AI-generated content is influencing court proceedings
• Authenticating Digital Evidence – Differentiating real vs. AI-generated material
• Explaining AI & Tech to Lawyers – Bridging the gap between legal and technical professionals
• AI & Cyber Recovery – The intersection of AI, law, and cybersecurity
• Ethical Challenges of AI in Law – How to ensure responsible AI use in the legal system
• Future Predictions – AI, discovery, and the legal landscape in the next decade

This episode is essential for legal professionals, tech experts, cybersecurity specialists, and anyone interested in AI’s role in the justice system!

Chapter Timestamps:

• 00:00 - Prelude
• 00:38 - Introduction
• 01:40 - Why the blend of Technical Expertise and Legal Knowledge
• 03:35 - Initiated 3 legal cases as a non-attorney and prevailed
• 06:38 - Law, Tech, and AI: Impact and influence in the legal industry
• 09:40 - AI in court: Deepfakes and challenges in presenting digital evidence
• 14:59 - Differentiating AI-generated vs. authentic content in legal cases
• 16:12 - How to explain AI and tech to legal professionals
• 23:10 - Should lawyers learn technical concepts?
• 24:52 - AI’s role in cybersecurity & data recovery
• 26:10 - Ethical AI challenges in the legal industry
• 28:31 - AI’s impact on law, discovery, and digital forensics in the next decade
• 34:02 - Final Thoughts
• 34:52 - Outro

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Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠

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Connect with Tolulope Awoyomi:

• LinkedIn
• Twitter/X

This solo episode continues my AI explainer series, designed to help you understand artificial intelligence in a simple and practical way.

In this episode, I break down the different types of AI, explaining their unique features, real-world applications, and potential future developments.

Whether you're an AI enthusiast, tech professional, or just curious about AI, this episode simplifies everything you need to know!

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Pre-order: ⁠⁠AI, Machine Learning, Deep Learning: From Novice to Pro⁠

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Connect with Tolulope Awoyomi:

• LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/
• Twitter/X: https://x.com/TolulopeAwoyomi