George Hotz argues that AI has upended traditional hiring signals: automated resume spammers and applicants pasting bounty prompts into Claude Code have broken a bounty-based screening system that once worked. He accepts AI as a useful tool for producing low-effort “slop” apps but rejects AI-generated work as a hiring signal for meaningful software development. Hiring at tinygrad now requires public, sustained contribution - participation on Discord and GitHub, listening to weekly open meetings, and demonstrable understanding of project goals rather than one-off feature submissions.
Tinygrad seeks contributors who prioritize clarity, deletion, deep bug fixes, and regression tests over new surface features, and who are committed to a long-term strategy to undercut big-tech rent-seeking by commoditizing petaflops at the infrastructure layer on a roughly 10-year horizon. Logistics: remote/in-person hybrid with San Diego and Hong Kong offices, one-hour weekly meeting, a two-week sprint summary of three sentences, and compensation of $75k-$150k plus 0.1%-0.5% equity for full-time roles. Almost all work is open source and public; the application is simple - start contributing and demonstrate you want to build this.
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Suits offer better comfort and utility because they can be tailored to individual body proportions, unlike modern clothes. The author prefers suits as they better accommodate personal measurements and offer functional advantages, making them a form of original techwear. (devz.cl)
Mike Tomlin, former Pittsburgh Steelers coach, has spent 12 years building a detailed city in Minecraft. His project showcases his long-term dedication to the game and creative expression. (youtube.com)
A user reaching the karma limit on Hacker News shares personal values including honesty, reliability, helpfulness, humility, and decency. They emphasize the importance of ethical behavior, social responsibility, and self-awareness in the tech community. (news.ycombinator.com)
The video argues that copyright laws are outdated and do not effectively protect creators in the digital age. It suggests that current copyright systems hinder innovation and access to knowledge. (youtube.com)
Murphy Trueman reflects on how AI models learn and replicate human language patterns, blurring the lines of originality. He observes that influence flows both ways, making it hard to tell who is teaching whom in language and design. (blog.murphytrueman.com)
Technological shifts, like the transition from horses to cars, have historically transformed jobs while preserving the core purpose of helping people. This history prompts reflection on how current AI advancements may similarly redefine work while driven by human motivations. (manuel.darcemont.fr)
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