Shopify Co-founder Tobi Lütke Posts That Human Garbage Code is Widespread, Elon Musk Publicly Agrees
Shopify co-founder and CEO Tobi Lütke posted that those opposing AI programming seriously overestimate the quality of human code, stating that "human garbage code" is widespread except for a few excellent open-source projects and high-quality corporate codebases.
He pointed out that models reaching the level of Claude Opus can easily improve a large amount of human code.
Elon Musk and Jack Dorsey later replied "True" to publicly express their agreement.
In terms of market mechanisms, executives' public stances reinforce the trend of adopting AI tools in software development, accelerating companies' migration to AI-assisted coding to enhance efficiency and reduce costs, benefiting AI infrastructure and related service providers.
Source: Public Information
ABAB AI Insight
Tobi Lütke, as a technology-driven founder of Shopify, has long promoted internal engineering efficiency, and this public statement continues his pragmatic stance on AI enhancing productivity.
In terms of capital pathways, tech companies are reducing labor input and accelerating iteration through AI programming tools, shifting resources from traditional development teams to AI model subscriptions and training data, with Musk and Dorsey's agreement further amplifying the signaling effect to attract more companies to follow suit.
Similar to the early cloud computing transformation where opponents were overwhelmed by efficiency, the current software industry is in the early stages of a transition from human code to large-scale replacement with AI-enhanced code.
This is essentially a technological substitution, where AI models achieve productivity leaps through systematic improvements of the widely existing low-quality code, driven by the uneven distribution of code quality and breakthroughs in model capability thresholds, leading to a restructuring of development capital and labor from inefficient manual work to AI-driven structures.
ABAB News · Cognitive Laws
Opponents of AI overestimate humans, while those embracing AI reap efficiency.
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