Rephonic
Artwork for Rapid Synthesis: Delivered under 30 mins..ish, or it's on me!
Artificial Intelligence
Transparency
Government Services
Accountability
AI Safety Standard
EU Regulation 2022-554
Automated Decision Making
Explainable AI
Financial Sector
Cybersecurity
EU AI Act
Algorithmic Impact Assessments
Human Oversight
Ethical AI
Consumer Protection
Risk Management
Algorithmic Discrimination
Colorado Senate Bill 24205
Ethics In AI
Australia

This podcast series serves as my personal, on-the-go learning notebook. It's a space where I share my syntheses and explorations of artificial intelligence topics, among other subjects. These episodes are produced using Google NotebookLM, a tool readily available to anyone, so the process isn't unique to me.

PublishesDailyEpisodes190Founded9 months ago
Number of ListenersCategory
Technology

Listen to this Podcast

Artwork for Rapid Synthesis: Delivered under 30 mins..ish, or it's on me!

Latest Episodes

Essential interview questions designed for AI enthusiasts and professionals focusing on Large Language Models (LLMs).

The content systematically covers the foundational architectural elements of LLMs, explaining core concepts such as tokenization, ... more

Technical evaluation of Pipedream, an integration platform designed to bridge the gap between simple no-code tools and complex, raw serverless infrastructure like AWS Lambda. It details Pipedream's core serverless architecture, highlighting its suppo... more

Overview of Google Antigravity, a new autonomous, agentic development platform marking a significant shift from traditional AI assistant models in software engineering.

This platform is powered by the Gemini 3 model family, specifically leveraging ... more

Analysis of LlamaIndex Document AI, positioning it as a next-generation platform that moves beyond traditional Optical Character Recognition (OCR) and Intelligent Document Processing (IDP).

It details the GenAI-native approach of LlamaParse, which ... more

Technical and strategic analysis of how the company Pathwork revolutionized life insurance underwriting by implementing the LlamaIndex framework.

Historically challenged by manually processing unstructured medical records, Pathwork adopted the Retr... more

Overview of Sakana AI, a Tokyo-based research company challenging the conventional "Scaling Hypothesis" of artificial intelligence development.

Founded by key architects of the Transformer model, Sakana AI instead champions a "nature inspired intel... more

Analysis of Amazonโ€™s Chronos-2, a Time Series Foundation Model (TSFM) that represents a paradigm shift from traditional, task-specific forecasting to a universal, pre-trained intelligence. It highlights that Chronos-2, built on a Transformer architec... more

Key Facts

Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

Similar Podcasts

People also subscribe to these shows.

Recent Guests

Unknown Guest
Expert discussing AI advancements
Episode: Gemma 3n: The Dawn of On-Device Multimodal AI
Speaker 2
Expert on EU Regulation 2022-554 and digital resilience.
Episode: DORA : The digital operational resilience of the financial sector legislative text from the European Union

Top Technology Podcasts

Shell Game
Shell GameKaleidoscope
Acquired
AcquiredBen Gilbert and David Rosenthal
Tomorrow, Today
Tomorrow, TodayShekhar Natarajan
The Digital Executive
The Digital ExecutiveCoruzant Technologies
Hard Fork
Hard ForkThe New York Times

Talking Points

Recent interactions between the hosts and their guests.

AI Litigation: Corporate Use and Emerging Legal Challenges
Q: Can you remind us how that concept applies to using AI in the workplace?
Employers have to give reasonable accommodations to people with disabilities, so they have a fair shot at doing their jobs.
AI Increasing Returns from Train-Once-Deploy-Many
Q: How does this increasing returns concept work in practice?
It operates on two fronts: deploying more instances of an AI model and enhancing the quality of these models via better training.
Building Effective LLM Agents: Patterns and Practices
Q: When should you even think about using these agentic systems?
Start simple, only add complexity if necessary.
XGBoost Classifier: Architecture, Tuning, and Applications
Q: What are some broader challenges people might face?
Challenges include overfitting, handling imbalanced data, model bias, and data quality, which require rigorous auditing and interpretability tools.
XGBoost Classifier: Architecture, Tuning, and Applications
Q: How do we evaluate if our XGBoost classifier is actually doing a good job?
Crucial evaluation metrics include precision, recall, F1 score, and AUC, especially for imbalanced datasets.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

Frequently Asked Questions About This Podcast

What is This Podcast about and what kind of topics does it cover?

Centered around artificial intelligence and its various applications, the content is a blend of explorations and syntheses crafted by the host. Episodes are succinct, typically under 30 minutes, making them ideal for busy listeners seeking quick insights into AI topics without delving into excessively technical discussions. Notable discussions include innovative AI tools like Google NotebookLM, practical applications in industries, and broader tech trends, all aimed at making complex subjects accessible. The format encourages a relatable, personal learning journey, appealing to those who are keen to stay updated within the rapidly evolving tech landscape.

Where can I find podcast stats for this podcast?

Rephonic provides a wide range of podcast stats for this podcast. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to this podcast and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does this podcast get?

Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for this podcast, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.

What are the audience demographics for this podcast?

Rephonic provides comprehensive predictive audience data for this podcast, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.

How many subscribers and views does this podcast have?

To see how many followers or subscribers this podcast has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

Which podcasts are similar to this podcast?

These podcasts share a similar audience with this podcast:

1. Practical AI
2. a16z Show
3. The AI Daily Brief: Artificial Intelligence News and Analysis
4. The Stack Overflow Podcast
5. All-In with Chamath, Jason, Sacks & Friedberg

How many episodes of this podcast are there?

this podcast launched 9 months ago and published 190 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact this podcast?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for this podcast?

Rephonic pulls ratings and reviews for this podcast from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.

View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.

How do I access podcast episode transcripts for this podcast?

Rephonic provides full transcripts for episodes of this podcast. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.

What guests have appeared on this podcast?

Recent guests on this podcast include:

1. Unknown Guest
2. Speaker 2

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

Find and pitch the right podcasts

We help savvy brands, marketers and PR professionals to find the right podcasts for any topic or niche. Get the data and contacts you need to pitch podcasts at scale and turn listeners into customers.
Try it free for 7 days