Obtenez 3 mois à 0,99 $/mois + 20 $ de crédit Audible

OFFRE D'UNE DURÉE LIMITÉE
Page de couverture de Rate Limited

Rate Limited

Rate Limited

Auteur(s): Adam/Eric/Ray
Écouter gratuitement

À propos de cet audio

Discussion about the latest news in the world of AI assisted coding.

© 2025 Rate Limited
Épisodes
  • OpenAI Codex changes the way they handle context | Episode 4
    Nov 14 2025

    Codex has introduced significant changes that affect its usability with external tools.
    The truncation of context in Codex has raised concerns among users.
    Claude's handling of context and contradictions is seen as superior to Codex.
    Chinese AI models are gaining traction and are being compared to Western models.
    User experiences with various AI models highlight the importance of context management.
    The competition among AI models is intensifying, with open-source models becoming more viable.
    Apple's potential entry into the AI space could disrupt existing market dynamics.
    The future of AI models may involve more integration with consumer hardware.
    The balance between speed and accuracy in AI models is crucial for effective use.
    The evolving landscape of AI tools requires users to adapt their workflows.


    Summary

    In this episode, the hosts discuss the latest developments in AI models, focusing on Codex and its recent changes, including context truncation issues. They compare Codex with Claude and other models, highlighting user experiences and the rise of Chinese AI models. The conversation also touches on the potential impact of Apple's entry into the AI space and the evolving dynamics of the AI market. The hosts share insights on the importance of context management and the future of AI tools, emphasizing the need for users to adapt their workflows as the landscape continues to change.


    Sound bites

    "Codex has introduced significant changes."
    "Claude handles contradictions better than Codex."
    "Chinese AI models are gaining traction."


    Chapters

    00:00 Introduction to AI Language Models
    03:00 Codex Research and Tool Limitations
    06:02 Comparing Codex with Claude Code
    08:55 Impact of Context Truncation on Performance
    12:02 Exploring Chinese AI Models
    15:06 Kimi K2 and MinMax M2 Insights
    21:53 The Evolution of AI Models and Performance
    23:29 Concerns Over Data Privacy and Model Origins
    25:33 Quality and Safety in AI Model Deployment
    30:46 Emerging Models and Competitive Pricing
    32:49 Utilizing GLM 4.6 in Workflows
    36:48 Budgeting for AI Tools and Services
    43:36 The Impact of Cursor and Composer Models
    45:55 Exploring Use Cases for AI Tools
    48:57 The Evolution of Claude 2.0
    52:00 The Importance of Architectural Planning
    58:00 Anticipating Gemini 3.0 and Market Dynamics
    01:01:40 The Future of AI Models and Competition

    Voir plus Voir moins
    1 h et 11 min
  • Is GPT 5 Actually Degraded? | Episode 3
    Oct 30 2025

    Summary

    In this episode, the hosts discuss the latest features of Cursor 2.0, its positioning in the market compared to other coding agents, and the implications of AI on job markets. They explore the evolution of coding agents, the impact of teleoperation in robotics, and the future of AI in everyday life. The conversation also touches on community engagement and the potential for live shows.


    Takeaways

    Cursor 2.0 introduces an agent workflow focused on prompting.
    The speed and flow of Cursor 2.0 are key advantages over competitors.
    AI's impact on job markets is complex, with layoffs influenced by automation.
    The entry-level job market for engineers is currently very challenging.
    Teleoperation in robotics raises questions about privacy and surveillance.
    AI should enhance human capabilities rather than replace them.
    The evolution of coding agents is reshaping software engineering practices.
    Community engagement is vital for sharing experiences with AI models.
    The potential for live shows could enhance community interaction.
    The future of AI in everyday life is still uncertain but promising.


    Titles

    Exploring Cursor 2.0: The Future of Coding Agents
    AI and Job Markets: A Complex Relationship


    Sound bites

    "Cursor 2.0 just dropped!"
    "AI is not good enough to cut my job."
    "We're in a movie, guys!"


    Chapters

    00:00 Introduction to Cursor 2.0 and Its Features
    02:49 Benchmarking and Positioning of Cursor 2.0
    05:53 The Evolution of Coding Agents
    08:49 User Experiences with GPT-5 and Codex
    12:00 Challenges in Context Management
    15:02 Data Sharing and Privacy Concerns
    18:04 Claude's New Skill System and Its Implications
    30:05 Cloud-Based Skills and Automation
    32:20 Creating Business Workflows with AI
    34:40 Impact of AI on Job Market and Layoffs
    38:27 Navigating AI's Role in Engineering Jobs
    44:07 The Future of Robotics and Teleoperation

    Voir plus Voir moins
    54 min
  • The Real Cost of Free AI Coding: Episode 2 Rate Limited
    Oct 17 2025

    Summary

    In this episode of the Rate Limited podcast, hosts Ray Fernando, Adam (GosuCoder), and Eric Provencher dive into the implications of free AI agents, discussing the hidden costs associated with data privacy and sustainability. They explore the performance of Haiku 4.5 compared to Sonnet 4.5, the dynamics of ad targeting in the AI market, and the importance of effective planning and execution in AI models. The conversation also touches on retrieval techniques, the future of AI agents, and the significance of community engagement in navigating the rapidly evolving landscape of AI technology.


    Takeaways

    Free AI agents come with hidden costs, primarily related to data privacy.
    The sustainability of free AI models is questionable due to high token costs.
    Haiku 4.5 shows promise but has limitations compared to Sonnet 4.5.
    Ad targeting strategies may not align with the needs of high-end engineers.
    Effective planning in AI models can significantly improve output quality.
    Retrieval techniques like grep and embedding models have their pros and cons.
    Context management is crucial to avoid pollution in AI outputs.
    Community engagement is essential for sharing knowledge and experiences.
    Different AI models have unique strengths that can be leveraged for specific tasks.
    The evolution of AI technology requires ongoing discussions and collaboration.


    Chapters

    00:00 Introduction to Free AI Agents
    03:05 The Cost of Free: Data and Sustainability
    06:11 Ad Targeting and User Engagement
    08:54 Haiku 4.5: Performance and Comparisons
    11:57 Complexity in AI Models
    15:08 Optimizing Model Usage
    18:01 Real-World Applications and Strategies
    30:08 Debugging Complex Systems with Language Models
    31:37 The Evolution of Planning Modes in Coding Tools
    34:09 Cursor's Planning Mode: A Game Changer
    36:30 Efficiency in Feature Shipping with Cursor
    38:08 Retrieval Techniques: Grep vs. Embedding Models
    40:31 Agentic Retrieval vs. Embedding: A Debate
    43:39 The Importance of Context in Code Retrieval
    46:39 The Rise of GPT-5 Pro and Its Impact
    51:22 Comparing Grok and GPT-5 Pro
    54:31 Community Engagement and Future Directions

    Voir plus Voir moins
    58 min
Pas encore de commentaire