In this episode, the panel discusses the latest developments in AI watermarking, attribution, and agentic runtimes, exploring their implications for security, privacy, and software development. They share insights on new models, tools, and the future of AI-driven workflows.

Links:
Ray: https://www.youtube.com/@RayFernando1337
Adam: https://www.youtube.com/@GosuCoder

key topics
AI watermarking and regulation
Attribution as a new form of AI tracking
Agentic runtimes and their role in automation
The latest AI models like GPT-5.6 and Claude 4.6
Open source AI community and hardware advancements
AI workflow orchestration and self-managing agents
Implications for security, privacy, and compliance
Future trends in AI development and deployment
Tools like Grok bot, Cursor, and Codex for automation
The philosophical and ethical considerations of AI autonomy

Chapters

00:00 - Intro: Welcome to the Rate Limited Podcast
00:47 - The Claude Watermarking Controversy
06:19 - Is AI Watermarking Just the Next Wave of Attribution?
11:31 - IDE Vibe Check: Why Ray is "Cursor Pilled"
15:32 - Why Nathan Switched Fully to GPT 5.6 Soul & Codex
18:19 - Building a Fully Automated Game Art Pipeline
22:23 - The Dream Project: A 100% Agent-Managed Codebase
24:18 - Deploying Specialized AI Teammates with Grokbot
28:32 - Testing the Grok Build CLI on Large Codebases
31:12 - Mind-Blowing Agentic Runtimes (The Atomic Framework)
36:55 - How to Lock Down Deterministic Tasks in a Non-Deterministic AI World
46:39 - Why Traditional AI Evals Don't Actually Work
49:31 - Local Hardware: Running DeepSeek V4 Flash on DGX Spark
53:02 - Outro & Community Shoutouts

We explore the future of AI, its impact on engineering, and how non-technical users are leveraging AI in everyday life. We discuss models like GPT-5.6, the importance of system thinking, and opportunities for solo entrepreneurs.

topics
AI model evolution and comparison (GPT-5.6, Claude, Grok 4.5)
The gap between technical and non-technical AI users
Opportunities for solo entrepreneurs in AI
System thinking and engineering best practices in AI development
Risks and safety considerations in AI code generation
Verticalization of AI applications across industries
The future of skills and AI in the workplace
AI fatigue and user experience design

Chapters

00:00 Introduction and overview of AI's impact on engineers
01:59 The gap between technical and non-technical AI users
03:56 AI in marketing and outside engineering
05:06 The importance of system thinking in AI development
08:10 Verticalization of AI applications across industries

In this episode, industry experts discuss the latest in AI advancements, including the Fable Five jailbreak, SpaceX's acquisition of Cursor, and evolving software development practices. They explore how AI is transforming workflows, the importance of verification, and the future of AI-powered tools for both technical and non-technical users.

Links:
Ray: https://www.youtube.com/@RayFernando1337
Adam: https://www.youtube.com/@GosuCoder

key topics
AI advancements and implications
Fable Five jailbreak and security concerns
SpaceX's acquisition of Cursor and product announcements
The shift from traditional PRDs to prototypes in product management
The role of verification and success criteria in AI development
The concept of skills, harnesses, and agents in AI workflows
The impact of rapid software updates and UI changes on user experience
The importance of focused versus generic AI harnesses
The future of AI tools for both technical and non-technical users


Chapters

00:00 Introduction to the Rate Limited Podcast
01:00 Exploring Fable Five and Its Implications
05:02 The Future of Product Requirements Documents (PRDs)
09:55 SpaceX's Acquisition of Cursor and Its Impact
14:44 The Evolution of Skills and Harnesses in AI
26:24 The Ease of Use in Technology
29:21 Understanding the Software Factory Concept
32:32 The Evolution of Startups and Software Development
37:40 The Impact of Rapid Changes in Software Interfaces
40:33 The Challenge of Automation vs. Human Efficiency
44:49 The Excitement of Innovation and Future Possibilities

In this episode, we explore the latest developments in AI, including cost dynamics, looping strategies, and the impressive capabilities of models like Fable 5. We discuss operational challenges, the future of AI-driven software factories, and how to navigate this rapidly evolving landscape.


Links:
Ray: https://www.youtube.com/@RayFernando1337
Adam: https://www.youtube.com/@GosuCoder
Eric: https://www.youtube.com/@pvncher

Chapters

00:00 Introduction to Rate Limited Podcast
01:35 The Cost of AI: A Nuanced Discussion
07:40 Token Maxing and ROI in AI Usage
16:04 The Evolution of AI: From Prompts to Loops
19:09 The Value of Proactive AI Engagement
22:48 Exploring Fable Five: A New Frontier in AI
26:51 Diverse Perspectives on AI Models
30:54 Future of Work in an AI-Driven World

Google I.O. brought major updates, but the developer community is furious. Is Gemini 3.5 Flash a massive step backward for production apps? In Episode 16 of Rate Limited, Ray, Eric, and Adam break down the massive backlash surrounding Google’s new pricing model and token consumption, why the Gemini CLI is getting aggressively sunset, and whether Cursor’s new Composer 2.5 is the absolute pinnacle of AI coding workhorses.

We also react to Andrej Karpathy’s massive jump to Anthropic, detail a wild success story of modding Zelda into VR using Codex's Goal Mode, and discuss how to transition your mindset into the era of probabilistic, agentic engineering.

If you are an engineer or builder navigating the frontier of AI, hit that subscribe button for deep, unfiltered technical breakdowns twice a month.



Links:
Ray: https://www.youtube.com/@RayFernando1337
Eric: https://www.youtube.com/@pvncher
Adam: https://www.youtube.com/@GosuCoder


00:00 - Google I.O., OpenAI, & Composer 2.5
00:45 - The Truth About Gemini 3.5 Flash & Token Guzzling
02:08 - Is Gemini Rebranding What "Flash" Means?
03:45 - Prompt Performance & Instruction Following in Anti-Gravity
05:47 - Google's Profit Margins and Capacity Constraints
06:15 - RIP Gemini CLI: Google Consolidating Compute
07:38 - The Hidden Cost of Small Model Reasoning
09:38 - Google's Distillation Strategy & Compute Allocation
11:41 - Knowledge Cutoffs & Eval Degradation in Gemini 3.5
13:40 - Anti-Gravity 2.0 Drama: Shifting Away From Consumers
16:40 - Composer 2.5 First Impressions: A Pure Coding Workhorse
19:15 - Building Parallel QA Agents with Browser Use
21:32 - How Cursor Pulls Off Trillion-Parameter Speeds
23:18 - Is Speed the Moat? Continuous Improvement RL Loops
25:25 - The Messiness of Real-World Context vs. Static Evals
27:13 - Tool Search vs. Preloading Context Bloat
28:14 - Minimal Context Setups vs. Skill Maximalism
32:00 - The Lack of Portability Between AI Harnesses
34:25 - GPT-5.5 Low/Medium vs. Anthropic 4.7 Latency
38:10 - Tool Tinkering vs. Grabbing Off-The-Shelf Tech
39:11 - The Team's Current Model Stack (Vibe Check)
42:11 - Codex App: Mind-Blowing Background Computer Use
44:39 - Goal Mode vs. High-Level Orchestration Loops
48:23 - Success Story: Modding Zelda into VR Using Goal Mode
50:33 - Andrej Karpathy Joins Anthropic: Why Now?
52:30 - The Value of Co-location & The Bay Area Sparkle
55:00 - Impact Over Upside: Technologists Shaping Green Spaces
56:09 - The Mindset Shift: Transitioning to Agentic Engineering
58:30 - Auditing Your Threads & Finding Inefficiencies
01:00:27 - AI Automation as "Mana" for Your Life

This episode explores the latest developments in AI models like GPT 5.5, their impact on workflows, trust, and the future of agent development. Featuring insights from industry experts, it covers model performance, rate limits, AI in enterprise, and practical tips for building effective AI agents.


Links:
Ray: https://www.youtube.com/@RayFernando1337
Eric: https://www.youtube.com/@pvncher
Adam: https://www.youtube.com/@GosuCoder

Chapters

00:00 Introduction to the Rate Limited Podcast
00:45 Exploring GPT 5.5: Features and User Experiences
04:28 Switching from Anthropic to GPT 5.5: User Insights
07:17 Trust and Performance: Comparing Models
10:45 Improving Code Quality with GPT 5.5
17:48 Utilizing Goal Mode for Long-Term Tasks
21:26 Anthropic and SpaceX: A New Partnership
25:32 The Future of AI Automation on Mac
30:51 The Impact of AI on Layoffs
36:35 Navigating the AI Landscape
41:45 The Role of Engineers in AI Development
49:23 Creating Engaging AI Agents
55:03 The Future of Agent Development

This episode explores the latest AI model updates, including Opus 4.7, Kimi 2.6, and the evolving landscape of AI in design, coding, and enterprise applications. The hosts discuss model performance, industry trends, and strategic moves like SpaceX's partnership with Cursor, providing insights into the future of AI development.

Links:
Ray: https://www.youtube.com/@RayFernando1337
Eric: https://www.youtube.com/@pvncher
Adam: https://www.youtube.com/@GosuCoder

Chapters

00:00 Introduction to the Podcast and Recent Developments
02:49 Exploring Opus 4.7: Impressions and Comparisons
05:58 The Art of Prompting: Strategies for Effective Use
08:57 Design Innovations: Claude Design and Its Impact
12:03 The Future of Design: AI's Role and Implications
15:00 Kimi 2.6: Performance and Comparisons with Other Models
22:17 Exploring Composer's Efficiency
25:19 Kimi 2.6 Performance Insights
30:44 The Impact of Tokenization on AI Models
33:15 Cursor and SpaceX: A Strategic Partnership
40:20 The Future of AI Coding Companies
46:24 The End of RooCode: Reflections on Community
46:32 The Evolution of AI Coding Practices
50:15 Navigating AI Engineering Workflows
56:24 Orchestrating AI Agents for Efficiency
01:02:00 The Future of AI in Development

This episode covers recent developments in AI, including source code leaks, rate limit changes, and the future of agentic AI systems. Experts share insights on managing AI projects, building reliable agents, and navigating the evolving AI landscape.

Links:
Ray: https://www.youtube.com/@RayFernando1337
Eric: https://www.youtube.com/@pvncher
Adam: https://www.youtube.com/@GosuCoder

Chapters
00:00 Introduction to Rate Limits and Coding Challenges
01:36 The Cloud Code Source Leak Incident
07:05 Rate Limits and User Experience
11:59 Choosing the Right AI Tools for Coding
18:02 Building Agentic UIs and Architecture
22:34 Exploring Cloud Dispatch and Its Impact
31:07 Designing Agents Beyond Coding
40:22 Building Effective Agents for Business