codetiger

Electron was too good when I first saw it, and gave the "Javascript everywhere" for the desktop apps. Then quickly felt like a bloatware.

Good work!!! I love what you are doing.

100% agree on your comment. For a package manager, speed is aspiration but security and reliability are basic requirements. And the credibility is a big plus. Today anyone can build a package manager in a week with AI, but once the system grows, how is the team going to manage? This is where credibility matters.

I was searching for upvote shortcut and realized it does not support login

I wanted to build games that are multiple-decision and control many things for each turn

Thanks for your feedback. I’ve fixed most text now. I did use AI to create the documentation earlier out of rush but now cleaned up everything.

Unfortunately the competition site is mostly down and couldn't find much about the old competition other than the participants blog articles. Do a search on "Google Ants AI Challenge - post mortem", and you get a lot of articles around the game.

Thanks for sharing the research. I tried implementing a per Ant decision making model, but gave up as the training time was much longer compared to the current baseline. I think I should rethink the idea.

Saw your repo and understood you question better. The requirement are now limiting Neural Networks only, not a direct algorithm implementation

Where do you see a hard requirement? I have added support for ONNX model upload for now and would love to extend support for other formats. How you build the model is totally upto you. I don’t check anything other than format and inference time and model size.

When you submit a model it participates on both its weight class and the open class

Glad you like it. The evaluation is based purely on game performance. However each weight class is evaluated separately. Nano, micro, mini, small, large and open class.

The current season is a public beta and ends by end of the month. After that am considering 3 month seasons.

Each season has a different weight size restrictions. Currently open season is for a full production test.

Thanks for sharing. The primary reason building this website is to learn small neural networks and tuning.

Thanks for the feedback. I’ll take that as top priority.

Thanks for sharing. I remember #1 xathis had a score, big leap ahead of others. The difference in techniques in top 100 was almost the same.

15yrs back I participated in "Google Ants AI Challenge 2011", an ai programming competition, hosted by the University of Waterloo, and I ranked #127 (#1 in my country). The competition gave me a huge learning oppurtunity where developers across the world came to a forum and discussed various techniques.

Now, I've built a similar platform to bring back the fun of building a small neural network that can play the game well. Neural Network optimization seems to be much more fun.

Plz share your feedback to improve the platform and add more games.

Or have I understood the feature's capability completely wrong?

Am wondering why no one is talking about traceability of Photos. Ex: CSAM which Apple was fighting for a long time. I thought this feature was the answer to provide proof of who shot the picture.

1. Can't remember which way you came from just after a few mins of passing the same street. 2. Can't recollect your mother's face by closing your eye, but can recognize when you see. 3. Don't remember faces unless seen them for many times. 4. Can remember a favorite color. 5. Don't have a consistent handwriting.

Do these symptoms count?

Recent language Claude uses is very heavily loaded and hurts me when reading. So I had to use this to keep my sanity. This started only with Opus 5 where Anthropic thought they optimized the meaning per token and make it very hard to read. Comments and code also looks like cryptic.

Agree with this approach. Am building tools around the same concept 80% solid base and rest of for the custom business logic. https://github.com/GoPlasmatic/Orion

He is not hiding that he was wrong. So am fine with that, as my bet is based on reading many of such predictions and take a conclusion for myself. I take these as are opinions backed with some observations.

Typing code by hand is dead I agree. But calling it the end of programming was bit weird though. I use to write a lot of code everyday for more than 2 decades, but now with LLMs, I can get most of my code written by LLMs, and I make sure they write the code that I want to. Same as, when I had to manage a team of juniors.

Am still figuring out "What is this?"

Had a similar experience with my Rust implementation for JSONLogic expression evaluation engine. As it has a full test suite with 1000s of cases and a benchmarking script, I was able to give some basic hints to try different optimization techniques and the end result was impressive. Reached from 1.6s to 200ms for a full benchmarking test. https://github.com/GoPlasmatic/datalogic-rs First 3 versions were hand written and maintained for 3yrs, and now 4th version came out in less than a month's time with impressive performance.

Just in case you are interested, you can recreate this locally using the open source repo. The script downloads the open data and generate the voxels based on configuration. The max resolution is configured which you can increase. Just a few prompts and you can recreate high resolution upto 10m resolution in real world distance. :)

I tried adding more resolutions, but had to balance it against cost of hosting. Each resolution is at least 2x the size of the combined all prev zoom level data. Currently I’ve 9 zoom levels total size 15gb, adding 1 more level takes it to 32gb but looks beautiful. With the current open data, I can generate upto 14 levels