I produce content (written, audio, video) about computer science topics I know about and I talk with interesting people about the topics of my interest, which are mainly AI, tech startups and software engineering.
Check it out at: https://t.co/2Y31oj4mbL
@levelsio I have a question related to picking an idea to build: what if you don't really have any? All of the things I'm interested in seem already covered by multiple products already and I can't really compete or for some ideas the tech isn't there yet.
@levelsio What I wanted to know was how do you develop the back-end of PhotoAI, given that most licenses that aren't "base" force open-source? Do you write your own code around the "base" code?
@levelsio is the code of PhotoAI open-source? I noticed a lot of stable diffussion code uses licences which make you open-source your code, so I'm wondering.
@levelsio I had in mind all of the interfaces for stable diffusion (such as AUTOMATIC1111) and all of its associated extensions. I know that "base" code usually comes with a permissive licence, but a lot of the other stable diffusion code forces open-source.
I was wondering if anyone had a good resource to share on long-term AI impact and long-term blockchain impact.
@rbhar90 from what I gathered, you switched from blockchain to AI - why? I'm trying to gather different perspectives on where both AI and blockchain are going.
From what I currently understand about Ethereum, it allows a spectrum of decentralized and centralized apps, in the sense that Layer 1 is fully decentralized, but Layer 2 apps can choose how centralized they want to be.
Is my understanding right? Tagging @hudsonjameson
@Turn_Trout Do you think that it may be the case that AGI is not possible within the framework of RL? I think the assumption that AGI can be realized with RL may be wrong.
@Turn_Trout Thank you for the thread. I have two questions:
1) In order to build safe intelligent agents, do you think that we need a new framework (other than RL)? Maybe safe intelligent agents can't be built with RL.
2) What do you suggest as a risk mitigation strategy? Thorough testing?
Overall, I think this is a really good book for anyone wanting to dive into deep learning.
My GitHub repo with some of the exercise solutions (since I didn't solve all the exercises) is here: https://t.co/dOEibP6J7U
There were some chapters where I have found it hard to connect the theory and practice (such as RNNs and GANs), but maybe this was just because I was not focused. In particular, the dimensions of what goes in and out of an RNN could use some more explaining IMHO.