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