daemon_9009

compare this to Electronic engineering, we are not making chips by hand, It is impossible to squeeze too many transistors in such a small space, we just create the circuit designs. I believe writing the code is heading in the same direction as well, you don't write too much code now, but you have to design the architecture and connect things. But it does not mean that you don't need to understand the code, now of all the times people who understand code are more important. Many below par devs will loose jobs for sure.

>layoff developers for now we are not sure what is gonna happen. Big tech is surely reducing headcount to invest more in AI. but with recent downtime of github/AWS and them not blaming AI but humans, says a lot about that they will go to any extent to prove AI is bringing value enough to fire human engineers.

if we think, what is accountability? if a human would do a mistake, you would as an employer do two things: either teach him what not to do, or fire him. Same thing can be done with AI agents, if you decide to stay with the agent then teach it what not to do, this might not work 100% but to a certain level for non critical things it would work. Agents should ofc not be given consequential actions like deleting accounts at will. But the point is, once a mistake is done, it is done, be it human or an agent, you gotta teach or fire something. I don't think any other way to solve this problem

Hi, guys here are my thoughts on how software development will look in a year. what do you think about this, lets discuss.

Thanks, we had addressed our pain points, happy to see that you resonate with it!

Intelligent people see and understand the world deeper, more than an average person can, They see the world in all its forms, good and bad, understanding too much does not bring happiness but gloom. existence seems to be absurd, the more we understand existence the more one believes that it shouldn't have existed at the first place.

"happiness in intelligent people is the rarest thing I know" is a quote by Hemingway.

Also intelligent people overthink about a particular situation, while its better for survival but it can reduce happniess.

as good as it may sound, but this will never happen. People will never pay for everything, majority don't even buy PC games, they use pirated one's. This is how humans are designed, and this is what which keeps the market afloats.

I cannot make out anything from this. what are you trying to say? AI agents's fundamental task is to implement stuff, or in technical terms tool calling, computer use etc. they take input from user in natural language, and everything is perfectly defined in the prompt. The LLM is instructed to ask whenever not sure, so bootstrapping from hallucinations only happens when the implementation of AI agent is poor.

The entire paper demonstrated the results of the simulation or whatever they did. They did not mention how did they achieve this simulation. running 500-1000 LLMs parallely, will take too much computing resources, neither did they prove the claim they made about their parallel architecture. I remeber there was the paper published about an AI town, in which they mentioned clearly how they implemented it. they also released a recording of the simluation along with the real data of the results. If anyone got how they implemented this paper, please tell me.

Hi guys, I made a completely multiplayer programming game for C++ and python, started it to learn graphics, multithreading and all. ended up creating a small game engine for my game (included a lot of game maths), learnt multithreading and multiprocessing deeply. the game is originally programmed in c++, so had to do everything from scratch. Later ported it to python using pyBind11, wrote the langauge bindings for python. For the multiplayer part, which took the most of the time, ended up creating my own networking protocol( over UDP) according to the game needs. you can see the project here at my website: https://aiplaygrounds.in

I was in 2nd Year of my engineering. as many engineers before going to the college i used to make computer games on C++. Games caught my interest really early, because thats what is really fun and challenging in programming. One day while making a ping pong game, i thought what would happen if both the sides computers will play? who will win? from that i developed a programming game, in which you need to write algorithm for your battleships to destroy other battleships. You could try really good algorithms to test them for eg. min-max, monte-carlo tree search, RL, Deep learning etc.

Since i was in India, people here do programming for the sake of coursework or to get jobs. Really passionate people are difficult to find.

I tried to launch the product in my college, but sadly no one would want to play it. The game was really challenging to grasp at the beginning, I also pitched it to my professors to include it in the course curicullum of AI, they liked the idea, but refused it by saying it will be an overhead for the students to learn first about the algorithm and then about the Game API.

for an year i dejectedly saw that not everyone is as passionate as you are. I found no market for my programming game. If it would have launched somewhere in US, it could have been better, since MIT has such a kind of competition in which students needs to make the bots. it is not that programming games have no market, there are games like : Battlensakes, coderOne etc. but their market share is very less.

I learnt the lesson the easy way i guess, because i had a safety net since i was still in college, and had a job from the following year.

But then i really understood about product market fit, which i used to ignore while they taught in entrepreneurship classes. If anyone wants to see how the game looked : https:\\aiplaygrounds.in . I have revamped by business idea and working on something else.

Current games which are using LLMs only activate the model when the user is talking to the NPC, but in order to create a real dynamic story which is completely random but to the point, the agents need to interact with other as well,so lets say there are around 100 agents in the game they need to interact with each other to generate some emergent behavior. The form of interaction can be questioned here. will it be in natural lang? or just some embeddings or states.

But this thing still has a long way to go.

are you working on that? it needs a stable-diffusion kind of breakthrough to achieve that.

Hi, to all the teachers out there, We have created a simulation platform with cautiously curated assignments to teach fundamental AI and beyond to the students. Feedback from teachers is welcome.

voice ID adoption won't work anyways, its not a secure way. consider a person has throat infection, his voice will obviously be deep due to the infection. if we spare that as well, openAI has launched a voice clone AI. Those who are using it now will eventually change it.

so is it safe to beleive that AD is multi-point approval system, almost for all applications, and tickets can be raised using it? So that means making another platform is rather obsolete, isn't? Also I have never used AD but reading its docs i came to know that, for using sso the company has to use the domain provided by the AD, like yourcompanyname@microsoft.com, what company will want its users to sign in using this kind of a domain?

is AD single point contact or multi point approval system, can people in between approve the requests? and can the tickets be raised for a certain permission? can that permission be tracked? i think AD is merely a portal for azure and other cloud platforms.

well you mentioned the system only adds the account to a group in AD, if i am not wrong Azure directories work for cloud based platform, and also it requires the company to use their own domain for sso, AD is now Entra ID. But what about the permissions that AD dont cover like github, jira, database access?

jira has its own dashboard to do all kinds of stuff, it will be redundant to recreate it, i guess. what do you think?

if you want to read modern philosophy, go for 48 laws of power, and human laws by robert Greene. These two books are better than any self help books collectively which are available today!

it sounds good! can i see you app? I am a college student.

Inviting this community to take part in one of its kind, open source programming competition.

I created a child, what can be cooler than this? :)

if you create a project, create it as if people would use it, not to keep it in github repo, if you keep your project to yourself the entire effort you had put in the project is completely uselesss.

discuss.

please checkout the stackoverflow question in the link, I am really stuck here

does it support any signal mapping library which maps brain signals with specific computer commands?

here is the link to my substack. https://anchitrana4.substack.com/

automate the approval means here is that the person who will finally give you the approval, doesn't have to do this manually, he can just automate this permission giving process using github or jira API.

Asking for permission this way is ok. But how was it approved? Manually or some API automation?