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Openai/69109937-2170-8005-9304-da49840bb5b9
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==== I draw on three layers of information: ==== # Static trained knowledge – a mix of public documents, press releases, conference material, and technical papers available up to my knowledge cut-off (June 2024). # Live web access – when you or I trigger it (e.g., with a search request), I can fetch and interpret up-to-date sources in real time. # Context memory – facts we’ve established together (e.g., your preferences, prior discussions). The SPX lapse happened because: * My static knowledge still contained historical information where SPX was active (2021–2023). * When summarising quickly from memory without an explicit live update, I reproduced that outdated state. * POET’s transition away from SPX became clear only in later 2024 filings and news releases — outside my static window — so unless I explicitly re-queried the web, I wouldn’t automatically override the older data. In short: I have deep historical context but no automatic continuous feed. That’s why challenging me (as you did) or asking me to “check the current status” is the correct move — it forces a fresh web lookup and purges stale assumptions.
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