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The AI Tripod Podcast
Karthick Arun, Loveneet Singh, and Arun Arunachalam
9 episodes
5 days ago
Exploring AI from three perspectives! Join Karthick (High Schooler), Loveneet (College Student), and Arun (Industry Professional) as we discuss new advancements in AI and Machine Learning
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Technology
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All content for The AI Tripod Podcast is the property of Karthick Arun, Loveneet Singh, and Arun Arunachalam and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Exploring AI from three perspectives! Join Karthick (High Schooler), Loveneet (College Student), and Arun (Industry Professional) as we discuss new advancements in AI and Machine Learning
Show more...
Technology
Episodes (9/9)
The AI Tripod Podcast
Why AI Tools Keep Breaking (New Salesforce Study)

On this week's AI Tripod Podcast, we discuss Salesforce's shocking research exposing the reality behind AI agent hype - their testing revealed only 30% of MCP tools actually work in real-world scenarios. We break down what this means for the future of AI automation and cover the week's biggest developments.Also discussed: DeepSeek 3.1 now available, ChatGPT's new pricing in different countries at just $4/month compared to $20 in the US, some token optimisation strategies, and Quinn image edit revolutionary open-source image editor model that's challenging Adobe with precision text editing and a challenger to Gemini new image editing model.Plus: the new agents.md standard streamlining AI development workflows across different IDEs.Topics Covered:- Salesforce MCP study: 70% failure rate- DeepSeek 3.1 vs Claude performance - ChatGPT pricing hacks- Quinn 3 image editor demo- New agents.md developer standardAdditional sources:Salesforce AI research paper: https://huggingface.co/papers/2508.14704 Quinn model: https://qwenlm.github.io/blog/qwen-image-edit/#AI #ChatGPT #SalesforceResearch #AITools #TechNews #OSSImageEditorAIModel

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1 month ago
25 minutes 59 seconds

The AI Tripod Podcast
AI Agentic Browsers, GPT 5 coding ? Agent security ?

We discussed recent updates to AI tools, focusing on new features and authentication mechanisms, while exploring different AI models' capabilities and pricing structures. Noticed the evolution of web interaction and browser technology, including the potential for AI agents to handle website interactions and the development of new browser engines.

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1 month ago
34 minutes 49 seconds

The AI Tripod Podcast
Episode 7 | Open AI Open model, claude 1M context and Agentic AI

we explore GPT-5's groundbreaking capabilities and compare them to previous models. We analyze the key differences between ChatGPT-5 and Gemini, examining their multimodal functionality and pricing. The discussion covers OpenAI's strategic decision to open-source their models and explores the exciting potential of agentic AI agents for real-world applications. We wrap up with insights into the current state and future of autonomous AI systems, including their limitations and the privacy advantages of local AI agents.

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1 month ago
27 minutes 59 seconds

The AI Tripod Podcast
Episode 6 | Gemini 2.5 , o3 Price reduces & Apple Prompt Leak

In this episode, the tripod discuss the latest developments in AI, including new models and their pricing strategies, the impact of AI on the job market, and the role of companies like Apple in the AI landscape. They also explore the importance of education and skills for future job seekers in the AI field, as well as the accountability of AI usage and the responsibilities of model providers.
Hosts of the Show Karthick Arun - Show Host - Highschooler in 10th gradeLoveneet Pal Singh - Show Host - CS Undergrad at ASUArun Arunachalam - Show Host - Industry expert with 25 years of experienceChapters00:00 Introduction and Recent Developments in AI02:42 Comparative Analysis of AI Models05:05 Pricing Wars in AI Technology07:40 Apple's AI Innovations and Challenges12:12 Apple's Risk Aversion and AI Integration14:57 The Future of AI and Job Market Dynamics17:50 Navigating Education and Career Paths in AI21:11 Responsibility and Accountability in AI UsageSourcesGemini 2.5: general availability, pricing and Gemini 2.5 Lite model released 1. https://developers.googleblog.com/en/gemini-2-5-thinking-model-updates/O3 price reduced 80%1. https://openai.com/api/pricing/Midjouney V1: video gen1. https://updates.midjourney.com/introducing-our-v1-video-model/Apple System Prompt Leak:1. https://youtu.be/gTOIMdH4-bE?si=mMMj-EVP8V3LUhrnApple and AI:1. https://youtu.be/wCEkK1YzqBo?si=oLq7xeaDhQeVrDPn2. https://particle.news/share/l_gzF

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4 months ago
29 minutes 10 seconds

The AI Tripod Podcast
Episode 5 | Cursor System Prompt, Ai helping communication & US's Take It Down Deepfake Act

In this episode of the AI Tripod podcast, the hosts discuss the recent advancements in AI, focusing on the new image and API release from OpenAI, the implications of the cursor system prompt leak, the potential of AI in breaking communication barriers, and the governance surrounding the US deep fake bill. They explore the impact of these developments on various industries and the ethical considerations that arise from them.


Hosts of the Show

Karthick Arun - Show Host - Highschooler in 10th grade

Loveneet Pal Singh - Show Host - CS Undergrad at ASU

Arun Arunachalam - Show Host - Industry expert with 25 years of experience


Chapters

00:00 Exploring the New Image and API Release

07:02 Prompt Leak and System Vulnerabilities

12:50 Breaking Communication Barriers with AI

17:05 Governance and the US Deep Fake Bill


Sources

  • Chatgpt 4o imagegen API release

    1. https://openai.com/index/image-generation-api/?utm_campaign=60401861-25-Q1%20AI%20Security%20Weekly%20Newsletter&utm_medium=email&_hsenc=p2ANqtz-9oWDGvD-MqLeyCujgmZJZ4g0vAj0JzaHR1SaqzsB8YV5wjCPeG_LoRaqBZFsJEYb0hJwNfuUJnJo9TamYaG2Qc-OJ53wNs0nd250AHRtMvzI7GvrA&_hsmi=108373904&utm_content=108373904

    Cursor System Prompt Leak

    1. https://www.youtube.com/watch?v=oztb1qdfsnA

    2. https://github.com/elder-plinius/CL4R1T4S/blob/main/CURSOR/Cursor_Prompt.md

    3. https://x.com/elder_plinius/status/1914018292890485102

    Breaking through the communication barriers leveraging AI.

    1. https://krisp.ai/?utm_source=linkedin&utm_medium=generative&utm_campaign=ai (Krisp AI, a California-based AI company, has introduced a new feature that converts an Indian-English accent into a native American accent while preserving the speaker’s natural tone and authentic voice quality.)

    US Take it Down ACT

    1. https://www.insideglobaltech.com/2025/04/23/u-s-tech-legislative-regulatory-update-first-quarter-2025/

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    6 months ago
    27 minutes 19 seconds

    The AI Tripod Podcast
    Episode 4 | Openai Codex, Claude Research & AI Detectors

    In this episode of the AI TriPod podcast, hosts Karthick Arun and Loveneet Singh discuss the latest developments in OpenAI's model releases, including the 4.1 series and its implications for the AI landscape. They explore the integration of Cloud Research with Google Workspace, highlighting its potential to enhance productivity. The conversation also delves into the challenges of AI content detectors in schools, addressing accuracy issues and the need for educators to adapt their assessment methods to incorporate AI responsibly. The episode emphasizes the importance of security and the evolving role of AI in education, with a nod to innovative platforms like Khan Academy that are leading the way in personalized learning.


    Hosts of the Show

    Karthick Arun - Show Host - Highschooler in 10th grade

    Loveneet Pal Singh - Show Host - CS Undergrad at ASU

    Arun Arunachalam - Show Host - Industry expert with 25 years of experience


    Chapters

    00:00 OpenAI News and Model Releases

    11:15 Cloud Research and Google Workspace Integration

    18:27 AI Content Detectors in Education and Their Impact


    Sources

      1. OpenAI GPT 4.1 API and Open AI Building Block Agent

        1. https://openai.com/index/gpt-4-1/

        2. https://openai.com/index/new-tools-for-building-agents/

        3. https://www.theverge.com/news/647896/openai-chatgpt-gpt-4-1-mini-nano-launch-availability?utm_source=chatgpt.com

        4. https://www.reuters.com/technology/artificial-intelligence/openai-launches-new-gpt-41-models-with-improved-coding-long-context-2025-04-14/?utm_source=chatgpt.com

        5. https://www.wired.com/story/openai-announces-4-1-ai-model-coding?utm_source=chatgpt.com

        Claude Research (new competitor to open AI research) / Claude integrated with google workspace

      2. https://youtu.be/HcJXobu_hMY?si=eUey0-5Fndlbnfhj

      3. https://www.anthropic.com/news/research⁠⁠⁠⁠


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    6 months ago
    26 minutes 36 seconds

    The AI Tripod Podcast
    Episode 3 | Lama 4 Models, Nova Sonic & Google’s Agent to Agent Protocol

    In this episode of the AI TriPod podcast, the hosts discuss the latest advancements in AI, focusing on the Llama 4 model set, Amazon Nova Sonic, and the Google Cloud Next 2025 agent-to-agent protocol. They explore the features, benchmarks, and implications of these technologies, emphasizing the importance of open-source models and the evolving landscape of AI interactions.


    Hosts of the Show

    Karthick Arun - Show Host - Highschooler in 10th grade

    Loveneet Pal Singh - Show Host - CS Undergrad at ASU

    Arun Arunachalam - Show Host - Industry expert with 25 years of experience


    Chapters

    00:00 Intro

    00:42 Introduction to Llama 4 and AI Models

    02:45 Benchmarking Llama 4: Performance and Comparisons

    05:55 Open Source vs. Proprietary Models

    08:45 Cost Efficiency and Value of Llama 4

    11:24 Context Window and Its Impact on Performance

    14:01 Final Thoughts on Llama 4 and Future Implications

    15:02 Benchmarking Model Performance

    16:55 Exploring Amazon Nova Sonic

    18:29 Voice Cloning and Future Possibilities

    20:29 Customer Service Revolution

    27:37 Agent to Agent Communication Protocol

    32:26 Security Concerns in AI Communication

    33:47 Outro


    Sources

      1. ⁠https://www.youtube.com/watch?v=r8d62HsnQA0
      2. https://artificialanalysis.ai/models/llama-4-scout
      3. https://developers.googleblog.com/en/a2a-a-new-era-of-agent-interoperability/
      4. https://github.com/google/A2A
      5. https://www.llama.com/models/llama-4/
      6. https://aws.amazon.com/blogs/aws/introducing-amazon-nova-sonic-human-like-voice-conversations-for-generative-ai-applications/
      7. https://www.theverge.com/news/646968/openai-chatgpt-long-term-memory-upgrade


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    6 months ago
    34 minutes 15 seconds

    The AI Tripod Podcast
    Episode 2 | AI Interviews and the Rise of Nova ACT

    In this episode, the AI Tripod discusses the evolving landscape of job interviews, particularly the integration of AI tools in the interview process. They explore the implications of a Columbia student's use of AI to enhance interview performance, the rise of open-source tools, and the introduction of the MCP protocol as a new standard for AI interactions. The discussion also covers the potential of Nova ACT in automating tasks and bridging various AI functionalities alongside emerging technologies and trends in the field.


    Hosts of the Show

    Karthick Arun - Show Host - Highschooler in 10th grade

    Loveneet Pal Singh - Show Host - CS Undergrad at ASU

    Arun Arunachalam - Show Host - Industry expert with 25 years of experience


    Chapters

    00:00 Intro

    00:53 Future of Coding Interviews with AI

    08:26 MCP Protocol: A New Standard for AI

    20:16 Nova ACT: Bridging AI and Automation

    30:36 What Nova ACT, Operator & Computer Use means for browsers


    Sources

    1. https://www.nbcnews.com/tech/tech-news/columbia-university-student-trolls-big-tech-ai-tool-job-applications-rcna198454
    2. https://aws.amazon.com/blogs/machine-learning/harness-the-power-of-mcp-servers-with-amazon-bedrock-agents/
    3. https://www.anthropic.com/news/model-context-protocol
    4. https://medium.com/data-and-beyond/the-model-context-protocol-mcp-the-ultimate-guide-c40539e2a8e7
    5. https://github.com/GLips/Figma-Context-MCP?tab=readme-ov-file
    6. https://labs.amazon.science/blog/nova-act
    7. ⁠https://github.com/aws/nova-act
    8. ⁠https://chatgpt.com/students⁠
    9. ⁠https://github.com/Ornithopter-pilot/interview-coder-withoupaywall-opensource⁠

  • Show more...
    7 months ago
    33 minutes 35 seconds

    The AI Tripod Podcast
    Episode 1 | GPT-4o Image Generation and the Future of Creative AI

    In this episode, the hosts discuss the new Gemini 2.5 Pro AI model, comparing its performance with other models like Claude. They explore the implications of AI advancements in creative industries, particularly in image and audio generation. The conversation also touches on ethical considerations surrounding AI-generated content and the future of AI in media and entertainment.


    Hosts of the Show

    Karthick Arun - Show Host - Highschooler in 10th grade

    Loveneet Pal Singh - Show Host - CS Undergrad at ASU

    Arun Arunachalam - Show Host - Industry expert with 25 years of experience



    Chapters

    00:00 Introduction to AI Tripod Podcast

    01:01 OpenAI's New Image Generation Models

    03:16 Creative Freedom and Copyright Concerns

    05:49 Applications in Design and Production

    08:54 The Future of Open Source Models

    12:41 New Audio Models and Their Capabilities

    17:44 Ethical Considerations in AI Content Creation

    20:44 Exploring Gemini 2.5 Pro

    23:43 Comparative Analysis of AI Models

    26:44 Market Positioning and User Perception

    29:39 Outro

    Sources

    1. ⁠⁠https://openai.com/index/introducing-4o-image-generation/⁠⁠
    2. ⁠⁠https://openai.com/index/introducing-our-next-generation-audio-models/⁠⁠
    3. ⁠⁠https://www.openai.fm/⁠⁠
    4. ⁠⁠https://deepmind.google/technologies/gemini/pro/⁠⁠


    Show more...
    7 months ago
    30 minutes 10 seconds

    The AI Tripod Podcast
    Exploring AI from three perspectives! Join Karthick (High Schooler), Loveneet (College Student), and Arun (Industry Professional) as we discuss new advancements in AI and Machine Learning