AI researchers spend their days debugging 'incomprehensible' training code, engineer says
gabrielchua · x · 2026-09-07
In a widely shared take, @thsottiaux contrasts AI research roles with engineering and product: researchers spend their days inside nearly incomprehensible Python codebases, requiring familiarity with a dozen papers and deep understanding of quirky systems that subtly affect training dynamics. Their work is mostly debugging failures without knowing whether the math or the system is wrong — while the engineering/product picture has looked very different for months.
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