Sta Hungry Stay Foolish

Stay Hungry. Stay Foolish.

A blog by Leon Oudejans
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Emotions vs Ratio

There’s no positivity without negativity

Recently, a friend made the comment above. She also said those feelings are like Yin and Yang. After a brief reflection, I realised its validity. Before, I had assumed those feelings were like waves, entering and exiting my life. Nevertheless, my cycle and waves concept still fits the Wiki description below: “Yin and yang, also yinyang or yin-yang, is a...

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Vera (TV series)

Recently, I finally started watching season 1 (2011) of Vera, a TV series rated at 8.1 on IMDb. My rating is a 9. Soon, I'll start watching season 12 (2023) of 14 (2025). Actually, my earlier perception of this series has been very, very wrong. This crime series is excellent despite its main character (ie, Vera). "Vera is a British crime...

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The benefit of the doubt

Everyone understands the meaning of my blog title. Nevertheless, it’s hard to explain the how, what, when, who, and the why. Perhaps, the benefit of the doubt relates to a conflict between consciousness (eg, ratio) and subconscious (eg, emotion). Probably, doubt is settled once a side has “won”. The benefit of the doubt relates to all three domains: Love, Knowledge,...

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From Fear to Love??

My recent diagram (below) did not show an arrow from Fear to Love. In my view, it seems extremely unlikely that someone is able, daring and willing to make that jump. Is that move impossible?? In my view, it requires a long detour. Source: my recent blog Closed versus open My diagram above represents a cycle of the stages of Doubt, Fear, Hope and Love in Life,...

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Closed versus open

Last Tuesday, I had a sudden burst of inspiration, while trying to take an afternoon nap. My nap lost, and my inspiration won. The resulting diagram (below) is probably the one that failed to materialise during the past several months. Finally, a certain situation is making sense to me. Most of the time, I’m in the right upper corner of my diagram above (ie, Hope)....

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Facts, opinions, and (un)learning

For many humans, it's difficult to separate facts from (false) opinions. Moreover, the internet is full of (false) opinions, while it's (probably) the main database for machine learning. Hence, machine unlearning will have - at least - similar challenges as humans, and/but probably much bigger ones. I use doubt to separate facts from (false) opinions. I verify...

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