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I Tried Every AI So You Don’t Have To — Here are the Best of 2025
Content Introduction
In this video, retired software engineer Dave Plamer discusses the evolving landscape of AI language models as of mid-2025. He provides insights based on his extensive use of four prominent models: Chat GPT, Claude, Gemini, and Grock. Each model is reviewed in the context of various practical tasks such as coding, reasoning, creative writing, and current event analysis. Dave critiques their strengths and weaknesses, emphasizing that while all are effective, they excel in different areas tailored to user needs. Throughout, he highlights the importance of context windows for enhancing performance and encourages viewers to evaluate which model best suits their individual requirements. The video concludes with Dave's personal preferences and a light-hearted invitation for viewers to engage with his content.Key Information
- Dave Plamer introduces himself as a retired software engineer from Microsoft.
- He plans to discuss the current state of AI large language models as of mid-2025.
- He has signed up and extensively used four major AI models: ChatGPT, Claude, Gemini, and Grock.
- Dave will explore their capabilities in real-world scenarios including coding, research, storytelling, and breaking news.
- Each AI model has its own strengths: Claude excels in code-writing and reasoning, ChatGPT is good for casual interactions, Grock is strong in real-time tasks, and Gemini is effective at handling large documents.
- He emphasizes that the effectiveness of these models depends on the context in which they are used, with no one model being the best across all tasks.
- Dave concludes by highlighting the importance of context windows for handling complex tasks and discusses subscription pricing as a factor in choosing models.
Timeline Analysis
Content Keywords
Dave Plamer
Dave Plamer is a retired software engineer from Microsoft with experience dating back to the MS DOS and Windows 95 era, who now shares insights on AI and technology.
AI language models
The video discusses the current landscape of AI language models as of mid-2025, focusing on popular models such as Chat GPT, Claude, Gemini, and Grock, comparing their performance and features.
Grock
Grock is noted for its real-time data integration, making it suitable for tasks involving current events and trending topics.
Claude
Claude is highlighted for its depth of reasoning and more literary style, making it ideal for detailed exploratory tasks.
Gemini
Gemini's strengths lie in handling large structured inputs and extracting complex information, shining especially in multi-step tasks and summarizing extensive documents.
Chat GPT
Chat GPT is positioned as a great co-pilot for casual tasks, emphasizing its ease of use in creative writing, casual conversations, and general Q&A.
AI performance in coding
A review of various AI models in coding tasks reveals differences in performance, with Claude excelling in creating clean, elegant code and Chat GPT being useful for debugging.
current events analysis
The models' capabilities in analyzing and responding to current events are discussed, showcasing how each model's approach differs in context evaluation and information retrieval.
context windows
The discussion includes how context window sizes impact the ability of AI models to process large inputs efficiently, with longer windows allowing for more accurate results.
AI applications
The video emphasizes the practicality of AI models in various applications ranging from coding and research to storytelling and breaking news analysis, suggesting that each has its suitable use case.
Related questions&answers
Who is Dave?
What is the focus of today's episode?
Which AI models are being compared?
What type of tasks do the AI models perform?
What is the significance of context windows in AI models?
How do prices compare for the different AI models?
What should a user choose based on their needs?
What were Dave's opinions on the performance of the AI models?
Which model does Dave recommend for coding?
What is the takeaway about the current AI landscape in 2025?
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