So I've been using gpt-5.6 for awhile...
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The speaker reviews their extensive usage of GPT-5.6, highlighting its performance, cost-effectiveness, and versatility across various projects including coding, web browsing, and complex task orchestration. They also touch upon limitations and future expectations.
The speaker details their extensive experience using GPT-5.6, emphasizing its capabilities in coding, web browsing, and complex task orchestration. They showcase several projects, including the development of a Rust CLI, a full-stack application, and a browser agent, highlighting the model's performance and cost-effectiveness, especially when compared to human efforts or earlier models. The speaker demonstrates how they leveraged GPT-5.6 to achieve significant results in projects like building an iOS app, handling large codebases, and performing complex research tasks. They also discuss the model's efficiency, speed, and the surprising cost savings realized through its use, despite the initial cost concerns. The speaker also briefly touches upon what aspects of GPT-5.6 they are NOT discussing in this video, such as different model versions (Luna, Terra), comparisons to other models (Fable), benchmarks, and pricing/usage limits, promising future videos on these topics. The lecture concludes by emphasizing the model's utility and the speaker's excitement for its potential and future applications.
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LockedWorth watching if: Anyone interested in the practical applications and performance of advanced AI models like GPT-5.6, particularly in software development, coding, and complex task automation. Developers and researchers looking for insights into cost-effective AI usage and potential limitations would find this informative.
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