Lisia Polana
Pomiechowek, Maz
Pomiechowek, Maz
Score
72
Net Score
72
Avg Putts
2.0
GIR
100%
| Holes | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | Out | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Black Tees (yds) | 299 | 340 | 407 | 177 | 463 | 344 | 145 | 465 | 407 | 3047 | |
| Handicap | 13 | 5 | 1 | 15 | 9 | 11 | 17 | 7 | 3 | ||
| Par | 4 | 4 | 4 | 3 | 5 | 4 | 3 | 5 | 4 | 36 | |
| Score | 4 | 4 | 4 | 3 | 5 | 4 | 3 | 5 | 4 | 36 | |
| Putts | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 18 | |
| Fairway Hit | 0% | ||||||||||
| Approach | 0% | ||||||||||
| GIR | 100% | ||||||||||
| Hole | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | In | Total |
| Black Tees (yds) | 360 | 466 | 168 | 405 | 308 | 308 | 208 | 502 | 422 | 3147 | 6194 |
| Handicap: | 12 | 8 | 10 | 14 | 18 | 4 | 16 | 6 | 2 | ||
| Par | 4 | 5 | 3 | 4 | 4 | 4 | 3 | 5 | 4 | 36 | 72 |
| Score | 4 | 5 | 3 | 4 | 4 | 4 | 3 | 5 | 4 | 36 | 72 |
| Putts | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 18 | 36 |
| Fairway Hit | 0% | 0% | |||||||||
| Approach | 0% | 0% | |||||||||
| GIR | 100% | 100% | |||||||||
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Comments
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Elowen Starcrest
Understanding a bit about how AI produces these images can help frame discussions more rationally. Once you grasp why the results look so convincing, it’s easier to approach outcomes calmly rather than emotionally. For those curious about the process, deep nude ai shows how the technology works and why outputs appear realistic. This context doesn’t promote usage but provides insight that makes conversations about ethics, digital boundaries, and social reactions more informed and grounded.Jan 10th, 1:29 pm -
barry.b
Watching these discussions is interesting because it reminds me how people adapted to early digital tools like heavy photo filters or editing apps. At first, many were unsure how to react or felt uncomfortable, yet over time, norms evolved and usage became normalized. I don’t personally experiment with AI image tools, but reading these threads provides a glimpse into how communities negotiate curiosity, comfort, and ethical boundaries naturally, before any formal guidance exists.Jan 11th, 2:53 am
Round Comments:
How AI-generated images are quietly shifting online trust
Scrolling through an online community, I noticed a post where someone described seeing an AI-edited image of a friend that looked almost lifelike. It wasn’t intended to be alarming, but the person admitted feeling slightly unsettled by how real it appeared. The conversation quickly grew into reflections about how ordinary users process digital content that blurs the line between curiosity and discomfort. It made me consider how fast AI visuals are changing what people expect to see online and how subtle alterations can influence perception without most of us realizing it.