x

75% of people globally want unbiased news (Pew Research) but are concerned they're not getting that.

Get balanced coverage with Symby. See how stories are covered across diverse outlets and spot when one side covers a story the other skips.

PODCAST

The AI Diaries

The Unready Blogger

Explore the cutting-edge world of AI in this regular podcast, where we break down the latest advancements, ethical discussions, and real-world applications of artificial intelligence. From machine learning breakthroughs to AI"s role in everyday life, we bring expert insights and engaging conversations for tech enthusiasts, developers, and curious minds looking to understand how AI is transforming our world.

technology tech news

All Episodes

19:34

Ep.97: Evolution of Education: What Lies Ahead in the...

The AI Diaries ·

2025/01/24

Todays deep dive is into a blog post from December 12, 2024, that explores the evolving role of artificial intelligence in education. It examines the history of AI in classrooms, highlighting current applications in learning management, personalized learning, and administrative tasks. The article also addresses challenges like data privacy and algorithmic bias, emphasizing the continued importance of teachers as facilitators and mentors. Finally, it looks toward the future, predicting trends such as

en

20:27

Ep.96: AI in the Workplace: Are We Prepared for the...

The AI Diaries ·

2025/01/22

This episode takes a look at a blog post from UNBOXEDAI which discusses the impact of artificial intelligence on the workplace. It explores how AI is transforming job roles, creating new opportunities while necessitating continuous learning and adaptation. The post emphasizes the importance of ethical considerations, addressing algorithmic bias and data privacy concerns. It also highlights the need for collaboration between businesses and educational institutions to prepare the workforce for an

en

17:46

Ep.95: The Invisible Cost: Understanding the True...

The AI Diaries ·

2025/01/20

Todays episode takes a deep dive into an article titled "The Invisible Cost: Understanding the True Water Footprint of Artificial Intelligence" which examines the significant, often overlooked, water consumption of AI technologies. It highlights the substantial water usage in data center cooling and other operations, comparing AI's water footprint to other industries. The article explores the environmental consequences of this high water demand, including local water depletion and sustainability

en

13:08

Ep.94: Reviving the Past: Using AI to Bring...

The AI Diaries ·

2025/01/17

This deep dive is into an article from UnboxedAI that explores the use of artificial intelligence in history education. AI tools are presented as a means to create engaging and personalized learning experiences, from virtual tours to interactive dialogues with historical figures. The article also addresses the ethical considerations of using AI to recreate voices and narratives, emphasizing the importance of accuracy and respect for historical figures and their legacies. It highlights both the

en

15:01

EP.93: Are Small Language Models The Next Big Thing...

The AI Diaries ·

2025/01/15

This episode discusses an article that explores small language models (SLMs), highlighting their advantages over larger models. SLMs are presented as more accessible, cost-effective, and efficient, suitable for various applications across multiple industries. However, the article also acknowledges limitations, such as scalability issues and accuracy concerns. Ultimately, the piece argues that SLMs represent a significant advancement in AI, promising increased accessibility and innovation. Read the

en

27:59

Ep.92: Essential Skills to Get a Rewarding AI Job in...

The AI Diaries ·

2025/01/13

This episode looks at an article from UnboxedAI which outlines essential skills needed for securing a rewarding AI job in 2025. It emphasizes core AI concepts like machine learning and natural language processing, programming proficiency in languages such as Python and R, data handling and analysis expertise, mastery of AI tools and frameworks (TensorFlow, PyTorch, Scikit-learn), and the importance of problem-solving and critical thinking. The article also stresses gaining practical experience

en

16:05

Ep.91: Will The Bubble Burst For Generative AI In 2025?

The AI Diaries ·

2025/01/10

Todays talking point is an article titled "Will The Bubble Burst For Generative AI In 2025?" discussing the future of generative AI, exploring its current landscape, including key players, technological advancements, and investment trends. It also examines significant challenges such as ethical concerns, technical limitations, and regulatory issues, alongside the potential impact on employment and society. The article further presents predictions for future technological breakthroughs and market

en

15:00

EP.90: Want A Thriving Business? Focus On Artificial...

The AI Diaries ·

2025/01/08

This episode takes a deep dive into a blog post titled "Want A Thriving Business? Focus On Artificial Intelligence!" which advocates for businesses to adopt artificial intelligence (AI) to enhance operations and customer experiences. It explores AI's evolution, highlighting key benefits like increased efficiency and data-driven decision-making, while acknowledging challenges such as ethical concerns and the need for skilled professionals. The post provides examples of AI applications across various

en

22:48

EP.89: How is AI Being Used in Self-Driving Cars?

The AI Diaries ·

2025/01/06

Todays episode dives into an article from UnboxedAI titled "How is AI Being Used in Self-Driving Cars?" that explores the multifaceted role of artificial intelligence in self-driving cars. It examines AI's contribution to various aspects of autonomous driving, including predictive modeling, sensor data processing, and decision-making algorithms such as supervised, unsupervised, and reinforcement learning. The article also discusses challenges and limitations, including ethical concerns, safety

en

25:08

Ep..88: Advanced Reasoning: How AI Can Learn to Think...

The AI Diaries ·

2025/01/03

This episode discusses an article from UnboxedAI that explores the advancements in artificial intelligence reasoning. It examines the foundations of AI reasoning, including knowledge representation and inference mechanisms, and highlights challenges such as understanding context and common sense. The article also details techniques to improve AI's thought processes, like the chain-of-thought methodology and instruction finetuning. Finally, it discusses the future of AI reasoning, focusing on large

en

16:12

Ep.87: Does AI’s Rapid Rise Mask Deep Flaws?

The AI Diaries ·

2025/01/02

Today we take a deep dive into the article "Does AI’s Rapid Rise Mask Deep Flaws?" which examines the limitations and vulnerabilities of artificial intelligence. It highlights AI's struggles with complex real-world situations due to factors like data bias and a lack of contextual understanding. The article also explores the technical fragility of AI systems, including their susceptibility to adversarial attacks and the problem of algorithmic opacity. Furthermore, it addresses the significant

en

9:54

Ep.86: The Rise of AI in Gambling: A Cause for Concern

The AI Diaries ·

2024/12/31

This episode discusses the increasing use of artificial intelligence (AI) in the gambling industry, exploring both its potential benefits, such as enhanced user experience and fraud detection, and its significant ethical concerns. The article it is based on highlights the risks of AI-driven manipulation and addiction, algorithmic bias, and data privacy violations. Addressing these issues requires robust regulatory frameworks and collaboration among industry stakeholders, regulators, and consumers to

en

19:39

EP.85: The Future of AI in the PC Market

The AI Diaries ·

2024/12/30

This episode takes a recent article from UnboxedAI which discusses the burgeoning integration of artificial intelligence (AI) into personal computers. It examines key market trends, including the rise of AI-integrated components and the role of major players like Microsoft and Apple. The piece analyzes the economic implications, such as increased component costs and revenue opportunities for semiconductor companies. Finally, it addresses challenges like privacy concerns and market resistance to AI

en

14:33

EP.84: The Gendered Voices of AI: Why Are Most...

The AI Diaries ·

2024/12/27

This deep dive is into an article from UnboxedAI that explores the prevalence of female voices in AI assistants. It examines the cultural and historical reasons for this trend, including user preference and the readily available data for female voices. The article also discusses the challenges of creating male voice assistants, the emergence of gender-neutral options, and the importance of addressing gender bias in AI development to promote inclusivity and avoid perpetuating stereotypes. The author

en

13:29

Ep.83: Understanding AI: What is Deep Learning and...

The AI Diaries ·

2024/12/24

This episode studies an article explaining deep learning, a subfield of artificial intelligence. It details how deep learning uses neural networks to mimic human cognition by processing data through layered nodes. The article explores its applications across various industries, such as healthcare and transportation, and discusses the challenges and ethical considerations involved. It also compares deep learning to traditional machine learning and examines its future potential. You can read the full

en

12:12

Ep.82: How Does Artificial Intelligence Learn?

The AI Diaries ·

2024/12/23

In this episode we discuss an article from UnboxedAI titled "How Does Artificial Intelligence Learn?" which explores artificial intelligence (AI), explaining its fundamental concepts, learning processes, and applications across various sectors like healthcare and finance. It details AI's core components—algorithms, data, and hardware—and the different types of machine learning (supervised, unsupervised, and reinforcement learning) that enable AI to learn from data. The article also addresses the

en

20:11

Ep.81: How Artificial Intelligence Could Transform...

The AI Diaries ·

2024/12/20

Todays deep dive is into an article from UnboxedAI that explores the transformative potential of artificial intelligence (AI) in government. Key areas examined include enhancing citizen engagement, improving operational efficiency, revolutionizing public service delivery, and advancing policymaking. The article also addresses challenges such as ethical concerns, data privacy, and the need for robust AI infrastructure. Finally, it highlights the substantial economic benefits and the importance of

en

12:59

Ep.80: If You Could Ask An AI One Question About Your...

The AI Diaries ·

2024/12/19

This episode is based on a blog post from November 10, 2024, which asks the question " If You Could Ask An AI One Question About Your Future, What Would It Be", exploring the multifaceted impact of artificial intelligence (AI). It examines AI's transformative potential across various sectors, including healthcare, employment, and climate change solutions. The article also addresses crucial ethical considerations, such as privacy, bias, and the need for responsible regulation. Furthermore, it

en

24:47

Ep.79: The Impact of Artificial Intelligence on...

The AI Diaries ·

2024/12/17

This episode discusses an article from UnboxedAI which explores the evolving impact of artificial intelligence (AI) on the voiceover industry. It examines AI's advancements in voice generation and its effects on both clients and voice actors, including increased efficiency and cost-effectiveness but also concerns about job displacement. The piece contrasts the capabilities of AI and human voice actors, highlighting the irreplaceable emotional depth and nuance provided by humans. Finally, it

en

13:56

EP.78: Understanding AI's Impact on the Workforce:...

The AI Diaries ·

2024/12/16

This episode was inspired by an article that discusses a recent event exploring artificial intelligence's impact on the workforce. Key takeaways include AI's potential to displace some jobs while creating others, the varying impact across industries, and the crucial need for reskilling and upskilling. The article also highlights ethical concerns surrounding AI bias, data privacy, and job quality. Several sources, including Forbes, Fortune, and the World Economic Forum, are cited to support the

en

197 results

Similar Podcasts

Lead With AI

Tamara Nall

Linux in the Ham Shack

Black Sparrow Media

Data Engineering Podcast

Tobias Macey

Eye On A.I.

Craig S. Smith

Reflections

Livewire Labs