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Seriously, without China we'd just have two parasitic companies hoarding this tech and deciding whom and how is allowed to use it.
Is anyone here working on a problem for which current generation LLMs are inadequate, but that could possibly be solved by the next release of a first tier LLM? Or is it like bicycles? Unless your problem is named Tadej, you don't need a $13,000 bike.
I want to be able to generate my own Simlilirian movie by dumping the content of a book into an LLM. Both animated and live action results would be acceptable. Unfortunately most existing LLMs lack the capability to maintain context across tens of thousands of frames.
Earlier quoted context omitted.
I wrote about this a couple of weeks ago. It's actually often the biggest cost and it tends to be hidden away on most platforms! https://martinalderson.com/posts/watch-out-for-cache-read-co... Btw I still haven't came across any decent model that is Seems like a bit of an opportunity for someone to take - drop cache read costs significantly.
That's because Deepseek invented the paradigm of prompt caching, they are the SOTA when it comes these techniques. Despite them open sourcing all their research, nobody beats them. edit: I do wish openrouter would let you sort providers by Cache Hit % and Cache cost. These are the only things that matter to me at this point when choosing a provider.
Caching was always here, you don't need to do anything special to get it on a single user local backend running a base model or a chatbot in the first place. Among commercial providers, OpenAI adopted it in 4o first.
Is anyone here working on a problem for which current generation LLMs are inadequate, but that could possibly be solved by the next release of a first tier LLM? Or is it like bicycles? Unless your problem is named Tadej, you don't need a $13,000 bike.
I want to be able to generate my own Simlilirian movie by dumping the content of a book into an LLM. Both animated and live action results would be acceptable. Unfortunately most existing LLMs lack the capability to maintain context across tens of thousands of frames.
There are two more points in favor of this kind of AI movie project: there's zero chance that anyone would greenlight a Hollywood budget for the Silmarillion, and it is beyond human capability to write that screenplay.
Earlier quoted context omitted.
I want to be able to generate my own Simlilirian movie by dumping the content of a book into an LLM. Both animated and live action results would be acceptable. Unfortunately most existing LLMs lack the capability to maintain context across tens of thousands of frames.
That sounds like an interesting challenge. Have you seriously considered solving it? Because in about 10 seconds I came up with a process that should work, provided enough compute power. Simply model the traditional film making process by starting with a script, character stories. Design your world, then design the storyboard, and all the scenes. Create a list of all the visual elements that need to be replicated bet…
> Tencent has released and open-sourced Tencent Hy4 preview, a next-generation large language model with 770B total parameters and 49B active parameters, and a context window exceeding 1M tokens. There are no open source models, at least not useful ones (yet) [0]. Open weight is not the same as open source. The current "open weight" models are just opaque binary blobs you can run on your own computer instead of throu…
You can open source dataset without all the details how it was assembled. Models are lossy compressed datasets you can pick up and amend (fine tune / continue training / alter) according to license they were released under. Hy4 is released under OSI approved Apache License 2.0.
> Notably, Hy4 preview also contributed to its own development process, participating for the first time in the automated optimization of training methods, data strategies, evaluation frameworks, and low-level operators. The model proposed approaches, ran experiments, and iterated based on the results, with the resulting code, logs, and feedback feeding into subsequent rounds of exploration. This established an early…
Is anyone here working on a problem for which current generation LLMs are inadequate, but that could possibly be solved by the next release of a first tier LLM? Or is it like bicycles? Unless your problem is named Tadej, you don't need a $13,000 bike.
Earlier quoted context omitted.
Is the broken English an optimization or a byproduct of the model being developed in China?
Optimization. Why use many word when few word do trick?
> Notably, Hy4 preview also contributed to its own development process, participating for the first time in the automated optimization of training methods, data strategies, evaluation frameworks, and low-level operators. The model proposed approaches, ran experiments, and iterated based on the results, with the resulting code, logs, and feedback feeding into subsequent rounds of exploration. This established an early…