daemon_9009

Hi, I spawn multiple cloud agents, but the issue is in reviewing them. even if the model is giving demo artifacts in output, it is not enough to verify all the cases. We have automation test suites, but they are often behind the development. I had tried github copilot review for PRs but it outputs too many nitpicks and false postivies that it becomes irritating to find the real true positive cases! how are you guys handling this surge in code review?

Hi, background coding agents are here for about half a year now. But only bold and forward teams are using it so far. what is your say? have you adopted background agents in your organization or are most of the people still working with locally running coding agents? One thing i have felt is that organizations are reluctant to give access to these vendors to clone their repos in cloud machines. But what is the overall scenario? are we shifting really to background agents, if yes are organizations and teams trusting third party vendors to clone their repos on cloud machines for the agent to work on? Thanks!

I have observed that many devs in companies are no t using Background coding agents available in either github copilot or cursor, they prefer IN-IDE agent even though the company is providing them with background agents. I can think of 2 reasons: 1. People don't want to experiment, as background agents seems to be something people cannot control

2. People are doubtful that the agent will be able to complete the task properly.

what do you say?

Hi, Despite using cursor, windsurf or github copilot which are dev tools, have your organization started using background coding AI Agents, where you give them a jira ticket and get a PR? Which tools are you using, and how is the overall experience and which stack have you tried them on?

Hi, Seeing too many AI products launching, which are automating (up to some extent) tasks. I wonder what else is left which is not in public domain yet?

I am trying to find a LLM model which is under 7B parameters and can handle json well. I want to use it for tool use locally.

The field of AI x Gaming is quite interesting and i guess gaming is the next industry where we will see the AI boom. From Intelligent NPCs, infinite gameplay to games created using diffusion, as shown by genie2 and other models, are you guys working on any of this? and how do you envision the games next year or so?

Hi guys, i was working on making AI NPCs with LLMs and RL models, to create unique stories for the user, but this is a little far fetched. Is this problem even worth solving? challenges like revenue model, costs of inference and all that. To take an example goodai launched a game https://www.aipeoplegame.com/ , from the first appearances, there is not much we can do in this world. maybe we need a really big open world like GTA to make it a success, but still the question is will people want to play it?

Hi, now when AI is progressing, c.ai and other chatbots apps seems old. What could be the successor to these apps? I say, to introduce another dimension in the app, i.e currently it's text based, adding another dimension of 3D can make it more immersive. What's your say?

Hi, I am working on a generative game, in which the story is developed as the user goes, this will enable the user to create infinite story lines which can be played in an interactive world. But currently the problem is along with the stories we also need to show the graphics and the animations, which needs to be built at runtime for it to look really immersive. Are there any models which can convert text to 3D meshes or objects and create some animations which are really at par. or if anyone is working on this project how are you doing it? we really need this model to make the thing we are making not look like shit. Thanks.

One thing that is not yet clear after AI boom is how will it affect Games. One day i was talking to a character in character.ai, i prompted the character to be a factory worker with minimal education, when i asked how to write c++ code to find factorial of a number it gave me the code. certainly that's not how LLMs can be implemented in games. LLMs can take the story beyond the bounds of the gameplay. Another thing that i noticed is that whichever game is using LLM in NPCs, they are doing so only on the characters which are currently talking with the user. but this is not how you generate a completely random world, you need to ensure that agents interact with each other as well. But this is more of a scalability issue, imagine 100 NPCs in the world fighting for LLM API every second. This can be extremely expesive. Another issue is Alignment in LLMs. If anyone is working on this, what are you aiming for? creating a character engine? or creating new experiences for the user?

talking to LLMs feels like life is rainbows and butterflies, if one wants to create a beleiveable experience for the user say in entertainment or gaming industry, we will need uncensored versions of LLMs which can converse like humans do! any way to get it? if not, then forget GPTs will go anywhere in entertainment industry.

Brain computer interfacing has been there for a long time now, but companies are using this to treat disabled people only. To make BCI a true successor of GUI, it will require to redefine a computer and OS like apple did with vision pro, intially we won't be able to do much with this "new computer" but eventually people should adopt. BCI has its challenges with non-invasive techniques, but no one is talking about it, is it really the successor of GUI?