jorgemf

5 ms·

1.
by jorgemf 1y ago
I think they are doing that because using real images the model changes the face. So that problem is removed if the initial image doesn't show the face
2.
by jorgemf 2y ago
This genereation seems that is getting performance using more power and more cores. Not really an architectural change but only packing more things in the chip that require more power.
3.
by jorgemf 2y ago
Gaussian splatting transform images to a cloud points. GPUs can render these points but it is a very slow process. You need to transform the cloud points to meshes. So basically is the initial process to capture environments before converti
4.
by jorgemf 2y ago
Basically you train a model per each set of images. The model is a neural network able to render the final image. Different images will require different trained models. Initial gaussian splatting models took hours to train, last year model
5.
by jorgemf 3y ago
cost is relative. how much would it cost for a human to read and give you an answer for 200k tokens? Probably much more than $3.
6.
by jorgemf 3y ago
My problem with this analysis is ignoring the fact of who is using which computer. So far new people in the company get the M3, while old people have M2, and the people who has been the longest time in the company have an M1. Who is going t
7.
by jorgemf 3y ago
I think kotlin is one example. It uses the same idea but it uses powers of 10 for incremental fixes and numbers for 1 to 9 for hotfixes. That's if for the 3rd number, I do not know what will happen when the second number reaches 2 digi
8.
by jorgemf 3y ago
That's under the assumption that nothing else will change. But it is not the case, the system would have to adapt. One possibility is that we wont use money anymore, and there are a lot of in betweens in the middle. But for sure what y
9.
by jorgemf 3y ago
If AI does everything, the economic won't make sense anymore. Maybe there would be a basic rent or just anyone will ask for what they want and AI will provide it. We though AI would replace the low level jobs first, but it seems creati
10.
by jorgemf 3y ago
You are assuming that the whole existence of humanity is to work? because, without working, they would be sloths? What about expending more time having healthy habits like working out, meeting more often with family and friends, discovering
11.
by jorgemf 3y ago
Time is the forth dimension. The input data is a video, so the model learns the colors and the position of the elements (basically points). You can rende the scene from any angle at any time once the models is trained
12.
by jorgemf 3y ago
SEEKING WORK | Spain | Remote (EU and US time zones) Technologies: TensorFlow, Pytorch, Deep learning, LLM, diffusion models, GANs Résumé/CV: http://jorgemf.github.io/cv.pdf Personal website: http://jor
13.
by jorgemf 3y ago
Location: Spain Remote: Yes Willing to relocate: Potentially Technologies: TensorFlow, Pytorch, Deep learning, LLM, diffusion models, GANs Résumé/CV: http://jorgemf.github.io/cv.pdf Personal website: http:
14.
by jorgemf 3y ago
The main reason is that you might not want the raw information but some reasoning above. LLM is not only the context but all the information it has been trained with. For example a math student is making a question, it doesn't want the
15.
by jorgemf 3y ago
I think your argument is similar to the one we had with the calculators and later with Internet. I think ChatGPT is another tool. For sure there is going to be lazy people who use it and won't learn anything, but it also sure it is goi
16.
by jorgemf 3y ago
well, the data is way smaller than the model (at least the current trend), and you probably still need random access for the weights of the model. I am not sure if it a gain worth to pursue.
17.
by jorgemf 3y ago
As far as I know you can preload the data in the GPU before processing it. What is the difference/advantage of what you are proposing?
18.
by jorgemf 3y ago
Give yourself more time, don't pressure yourself. Probably your brain will be better with more time, you are still 17 and developing. Even if it is more difficult for you now than before, it doesn't mean you cannot achieve anythin
19.
by jorgemf 3y ago
It is chatGPT but using information from searches to answer your questions.
20.
by jorgemf 3y ago
In that video they run the Linux experiments over a windows with a virtual machine. And I didn't see the model, but I bet you I can trains a model in a 4090 one 2x faster than in a old 1050 (because i can chose a model which bottle nec
21.
by jorgemf 3y ago
NFTs and blockchain never had the adoption rate that LLM had (see GPT4 and how companies and users are using it).
22.
by jorgemf 3y ago
35k (bear in mind we have a public health system, the universities are like 3k a year and the rent is less than 1k, if you are fired you have up to 2 years of your salary, etc)
23.
by jorgemf 3y ago
Dont thrust those numbers. 50k € is a very high salary in Spain for a software developer. The average is probably closer to 35k €
24.
by jorgemf 3y ago
https://www.conscious-robots.com/consscale/index.html
25.
by jorgemf 3y ago
Yes, and it is also related with consciousness. In order to be intelligent, it needs to be embodied, so it can sense and act in the world. More ideas related with consciousness apply here.
26.
by jorgemf 3y ago
I think it is time to move from intelligent systems to conscious systems. Based on [1] in order to have more intelligent systems we do need sensory as the slides state but we also need other things like attention, memory, etc. So we can hav
27.
by jorgemf 3y ago
I would love to see WolframAlpha using ChatGPT under the hood to solve complex math problems. ChatGPT would have to basically create the plan step by step and Wolfram do the math.
28.
by jorgemf 4y ago
Board games have been used in AI since the beginning. They provide a good environment as we know the rules and control them. Also as everybody uses them it is easier to compare different algorithms. Most advances in AI were done in board ga
29.
by jorgemf 4y ago
Create content with AI will be easier and faster, but it doesnt mean humans wont generate garbage. That is one of the main problems of the search engines. And as long as you can put ads in your content you can create any garbage and put ads
30.
by jorgemf 4y ago
I think the problem you are describing is not only about AI, it is about trusting your sources of information. I can happen with content from humans.

More ›