"I feel nervous when I have subscription left over. That just means I haven't maximized my token throughput. The constraint is no longer how quickly I can type a line of code - it's how many tokens I can deploy."
"If you're running out of quota on Codex, you should switch to Claude. The shift suggests that access to compute is no longer the main constraint on AI output."
"It is now one of the recruiting tools in Silicon Valley. How many tokens comes along with my job? The surge in AI token spending will eventually hit the rest of knowledge work as well."
Andrej Karpathy, a former Tesla AI director, expressed a desire to exhaust his entire AI budget, viewing leftover tokens as unoptimized potential. Tokens, which represent the cost of AI usage, have shifted his focus from coding speed to maximizing token deployment. He suggests switching between AI products to optimize usage. This perspective aligns with broader industry trends, where AI token consumption is becoming a key factor in recruitment and productivity, indicating that access to tokens is now a primary concern for developers.
Read at www.businessinsider.com
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