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1970s computing parallels drawn with modern AI token limits

By PulseAugur Editorial · [1 sources] ·

This item reflects on the early 1970s computing era, drawing parallels between the limitations of timeshare mainframe processing and the current considerations around AI token usage. It suggests that lessons learned in maximizing processing time on leased lines in the past are relevant to understanding and optimizing token consumption in modern AI systems. AI

IMPACT Draws parallels between historical computing constraints and modern AI token limitations, suggesting lessons from the past can inform current practices.

RANK_REASON The item is a commentary reflecting on historical computing concepts and their relevance to current AI token discussions.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

1970s computing parallels drawn with modern AI token limits

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    It’s the early 1970s and you are maxing out processing time on your timeshare mainframe account skipping BATCH and yet to learn the lessons of planning, design,

    It’s the early 1970s and you are maxing out processing time on your timeshare mainframe account skipping BATCH and yet to learn the lessons of planning, design, analysis to maximise processing per second on a leased line connected to a timeshare mainframe. # AI / # MaxToken / # t…

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