
Hunter x Hunter
HUNTER×HUNTER
2011 · TV series · 24 min episodes · 3 seasons
AnimationActionAdventureScience FictionFantasy
Gon, a young boy who lives on Whale Island, dreams of becoming a Hunter like his father, who left when Gon was still young.
1 positive1 neutralfrom 2 commenters
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2 comments on Hacker News
Here's a list of some old and new ones, that an old fart might enjoy
Monster (Chasing a serial killer)
Ergo Proxy (Can't describe it)
Samurai 7 (Sci-fi variant off 7 samurai)
Last Exile (Post appocapltic world with lots of flying machines)
Kino's Journey
Mushishi
Time of Eve
Gargantia
Baccano
Durarara
Psycho Pass
Arslan Senki
Sunaboju (Desert Punk)
Witch Hunter Robin
Hunter x Hunter (old not new)
Texnolyze
Darker than Black
Black Lagoon
Great Teach Onizuka (One of the old and best)
Gintama (Comedy, It's at the level One Piece and Naruto disgusing as Comedy, you have to get past 30 episodes)
Kabaneri of Iron Fortress (Just for animation quality)
Beck (Music career)
Golden Kamui
Terror in Resonance
Ping Pong Animation (Don't let the animation fool you, it's one of the best stories)
Area 88 (Story ends abruptly, watch at your own risk)
Ashita no Joe (Old anime, boxing genre)
Valkyria Chronicles (War story)
Scissor Seven (Comedy, Chinese, assassin, in a strange world)
Shura no Toki (Martial arts, 3 generations)
A Record of Mortal's Journey to Immortality (Chinese cultivation genre, 3D good animation, faithful adaptation of one of the good novels in this genre)
Swallowed Star (Chinese cultivation genre Sci-fi variant, great 3D animation)
I just want to feed an LLM hunter x hunter episodes and get out new ones.
But on a more serious note, I vividly remember when GANs were the next big thing when I was in university and the output quality and variability was laughable compared to what midjourney and the likes can produce today (my mind was still blown back then). So I would be in no way suprised if we got to a point in the next decade where we have "midjourney" for video generation. So I wholeheartedly agree.
I also think the computational problem is tackled from so many angles in the field of ML. You have nvidia releasing absolute beasts of GPUs, some promising start ups pushing for specialized hardware, a new paper on more optimized training methods every week, mamba bursting on the scene, higher quality data sets, merging of models, framework optimizations here and there. Just the other day I think I saw a post here about locally running larger LLMs. Stable Diffusion is already available for iPhones at acceptable qualities and speed (given the devices power).
What I wonder about the most though is whether we will get more robust orchestration of different models or multi modal models. It's one thing to have a model which given a text prompt generates a short video snippet. But what if I instruct my model(s) to come up with a new ad for a sports drink and they/it does research, consolidates relevant data about the target group, comes up with a proper script for an ad, creates the ad, figures out an evaluation strategy for the ad, applies it and eventually gives me back a "well thought out" video. And all I had to do was provide a little bit of an intro and then let the thing do its magic for an hour. I know we have lang chain and baby AGI but they are not as robust as they would need to be to displace a bunch of jobs just yet (but I assume they will soon enough).