'Traditional british tv' has produced some of the best shows to be ever made. The writing, acting and production quality of the 70s-80s classic british shows surpasses anything being produced these days in 4k. Spent so many delectable hours watching old shows from that era, some of them quite obscure. Modern shows feel like mass-produced in an assembly line, devoid of what one would call 'class'.
But humans have already been tinkering (tinkering is not the word to describe large scale disturbances) with delicate systems we barely understand since the industrial revolution. But when it comes to technological solutions like this, somehow people think that's too risky.
>Anyhow species that were first photographed outside of iNaturalist would not be eligible...
To clarify, it would be eligible if the photograph has not been published (i.e. made available publicly outside of iNat) and you own the license.
If you had taken the first-known pics of an animal a few decades ago, and posted them on Facebook earlier, you can still add them to this project, as they fulfill all the technical requirements.
It's sad that most of the commenters here did not care to read the "About" section of the project:
>This project is designed to showcase the first known photographs of living specimens of any species. Note that by 'first known' I'm referring to the first known photographs of a species anywhere, not just the first photographs to be submitted to iNaturalist.
>Two types of observation will be included:
1) First photographic records of undescribed species...
2) First photographic records of already described (but obviously relatively uncommon or cryptic) species...
>If the male and female of a species are sexually dimorphic, then both are valid to be added to the project. So too if a species has distinct life stages (eg caterpillar/chrysalis/butterfly), they are all valid to be separately added to the project (assuming the other rules apply).
>If you see an observation currently in the project that you know is not the first photograph of that species, and you can show the earlier photograph, please do not hesitate to message me and I'll remove it.
It clearly states the photograph has to be the first photograph someone ever taken of the species which they have published(journal/news/book etc.) or publicly shared. Also, historical pictures are welcome, as long as you took the picture. I have seen scanned images uploaded to the project dating back to the 1960s.
> In his 2011 analysis of the Burma campaign, the historian Frank McLynn challenged this interpretation, saying,
> Most of all, there is a single zoological problem. If 'thousands of crocodiles' were involved in the massacre, as in the urban (jungle) myth, how had these ravening monsters survived before and how were they to survive later? The ecosystem of a mangrove swamp, with an exiguous mammal life, simply would not have permitted the existence of so many saurians before the coming of the Japanese (animals are not exempt from the laws of overpopulation and starvation).
> In 1974, a journalist, George Frazier, reported having asked the Japanese War Office about the crocodile attack and being told that they could not confirm that it had happened. In 2016, Sam Willis, a historian, reported that he had found documents indicating that the Japanese soldiers mostly drowned and/or were shot and that crocodiles scavenged on their corpses afterwards.
> In 2000, a herpetologist, Steven Platt, visited Ramree Island, where he interviewed residents who had been alive during the war and who had been forced into slave labour by the Japanese; they "unanimously discounted any suggestion that large numbers of Japanese fell prey to crocodiles".
The author has a great youtube channel - DiodeGoneWild. His teardowns of vintage (eg. soviet RF tubes) and contemporary (eg. various products of chinese ingenuity) are worth checking out.
OT, but am i the only one who feels part of this article is wrriten using a GPT?
This para especially strikes out as very odd:
"2. Advanced AI-driven features: With the advancement in artificial intelligence and machine learning, VLC may develop new features to enhance user experience. This could include AI-driven media organization and curation, smart recommendations based on viewing patterns, or even intelligent quality enhancements for low-quality media files."
- Translated: A leader who presents unique opportunities for growth and resilience.