52 Weeks of Cloud
Noah GiftA weekly podcast on technical topics related to cloud computing including: MLOPs, LLMs, AWS, Azure, GCP, Multi-Cloud and Kubernetes.
| Publishes | Daily | Episodes | 225 | Founded | 4 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | How ToTechnologyEducation | |||
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Latest Episodes
Key Argument
• Thesis: Using ELO for AI agent evaluation = measuring noise
• Problem: Wrong evaluators, wrong metrics, wrong assumptions
• Solution: Quantitative assessment frameworks
The Comparison (00:00-02:00)
Chess ELO
• FIDE arbiters: 120h... more
AI coding agents face the same fundamental limitation as parallel computing: Amdahl's Law. Just as 10 cooks can't make soup 10x faster, 10 AI agents can't code 10x faster due to inherent sequential bottlenecks.
📚 Key Concepts
The Soup Analogy
• M... more
The plastic shamans of OpenAI 🔥 Hot Course Offers: - 🤖 Master GenAI Engineering - Build Production AI Systems - 🦀 Learn Professional Rust - Industry-Grade Development - 📊 AWS AI & Analytics - Scale Your ML in Cloud - ⚡ Production GenAI on AWS - D... more
Dangerous Dilettantes vs. Toyota Way Engineering
Core Thesis
The influx of AI-powered automation tools creates dangerous dilettantes - practitioners who know just enough to be harmful. The Toyota Production System (TPS) principles provide a battle-... more
Extensive Notes: The Truth About AI and Your Coding Job
Types of AI
• Narrow AI
• Not truly intelligent
• Pattern matching and full text search
• Examples: voice assistants, coding autocomplete
• Useful but contains bugs
• Multiple narrow AI solut... more
Extensive Notes: "No Dummy: AI Will Not Replace Coders"
Introduction: The Critical Thinking Problem
• America faces a critical thinking deficit, especially evident in narratives about AI automating developers' jobs
• Speaker advocates for examining... more
how Gen.AI companies combine narrow ML components behind conversational interfaces to simulate intelligence. Each agent component (text generation, context management, tool integration) has direct non-ML equivalents. API access bypasses the deceptive... more
Episode Summary:
A critical examination of generative AI through the lens of a null hypothesis, comparing it to a sophisticated search engine over all intellectual property ever created, challenging our assumptions about its transformative nature.
more
Key Facts
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Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
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| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
Frequently Asked Questions About 52 Weeks of Cloud
What is 52 Weeks of Cloud about and what kind of topics does it cover?
The content focuses on a range of technical topics revolving around cloud computing, covering vital aspects of MLOps, large language models (LLMs), and major platforms such as AWS, Azure, and GCP. Discussions often highlight practical implementations, industry best practices, and innovations in the field of multi-cloud administration and Kubernetes management. The series provides insights through deep technical dives into these areas, making it particularly useful for IT professionals and cloud enthusiasts looking to enhance their knowledge and skills. Episodes feature experts and practitioners who share their experiences and advice, catering to a community that values technical precision and forward-thinking solutions in a rapidly evolving... more
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52 Weeks of Cloud launched 4 years ago and published 225 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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