# Reality for machine intelligence: internal vs consensus

**URL:** <https://discourse.numenta.org/t/reality-for-machine-intelligence-internal-vs-consensus/4787>\
**Category:** Numenta Theory\
**Created:** [October 22, 2018, 9:28pm UTC](https://discourse.numenta.org/t/reality-for-machine-intelligence-internal-vs-consensus/4787 "2018-10-22T21:28:58Z")\
**Posts on this page:** 1\
**Showing post:** 72

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**Author:** ![rhyolight](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.numenta.org/rhyolight/32/3922_2.png) [@rhyolight](https://discourse.numenta.org/u/rhyolight)\
**Post date:** [October 24, 2018, 6:23pm UTC](https://discourse.numenta.org/t/reality-for-machine-intelligence-internal-vs-consensus/4787/72 "2018-10-24T18:23:08Z")

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@Falco @Paul_Lamb Using the same random seeds won’t help (except in certain tightly controlled situations). Imagine two identical intelligent agents, same random seeds. They both move their sensors in an environment and build models based upon sensory input.

Place these two identical agents in any environment, and unless they start in the exact same location with the exact same perception, they will immediately have different internal realities, even if they are observing the same features and using the same random seeds.

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