DeepSeek-R1's epic pull request (News)

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AI Contributions
DeepSeek-R1, a reasoning model from Chinese AI Labs, has made significant strides in programming by contributing to a pull request that doubled the speed of WASM through optimized SIMD instructions. highlights that 99% of the code in this pull request was written by DeepSeek-R1, showcasing the model's capability in generating efficient low-level code 1. This achievement has sparked discussions on whether AI can now optimize its own code, with sharing the prompts used to achieve these results 1.
The only thing I do is to develop tests and write prompts with some trials and errors.
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This development has led to debates on the future role of AI in coding, with some questioning if it's over for human programmers or if there's still a place for them in the industry.
AI Dependency
The increasing reliance on AI in coding has raised concerns about the long-term impact on developers' skills. shares his experience of becoming overly dependent on AI, feeling like a mere intermediary between his code and AI tools 2. He argues that while AI can boost short-term productivity, it may hinder developers' understanding and problem-solving abilities in the long run 2.
We're not becoming 10x developers with AI, we're becoming 10x dependent on AI.
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This sentiment resonates with many in the tech community, prompting discussions on balancing AI use with maintaining essential coding skills.
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