kaijia
Your goal is to create an HTML5 website that is pixel-accurate as the screenshot @Space-Jam.png . You can use the image files in the `img` folder. To achieve pixel-level reproduction, first write auxiliary programs to measure the pixel locations of the objects on this page. Then use your measurements to create the page. Consider using feature detection/matching with per-object (x, y) offsets and a global scale factor shared by all objects as the free parameters. Consider using RANSAC for robust estimation. After obtaining an initial estimation, crop the image of each object and use local sparse optical flow for refinement. Use JPG format for visual inspection of intermediate results. Your webpage should be able to scale with the window size.
Note: the footer text size/locations are off. We can probably fix that by explicitly asking cc to write scripts for text bounding box detection.More details here: https://gist.github.com/jia-kai/802de63816711d67f0a090fa267a...
$ strings disk1.img | grep 'game'
The object of the game is to get four
Start a new game and place your first
So if ChatGPT cares to analyze all files on the internet, it should know the correct answer...(edit: formatting)
So I tried the first problem in Appendix A on OpenAI playground.
When I use the prompt "# Sketch the graph of the function f(x) = x + |x|", with the model davinci-codex and a larger response length (other parameters as default), the result seems fine: https://pastebin.com/VT8tPbu6
When I change the prompt to "# Sketch the graph of the function f(x) = x + |x| + x*2", it becomes garbage. It changes the prompt to "# Sketch the graph of the function f(x) = x + |x| + x^2 + x^3 + x^4 + x^5 + x^6 + x^7 + x^8 + x^9 + x^10" and then writes new empty comment lines: https://pastebin.com/2bNEuqaH
C elegans is far more complicated than the connectome abstraction used in these projects. There are all kinds of ion channels, including new ones recently discovered (https://pubmed.ncbi.nlm.nih.gov/34388373/ ), that are regulated by genes and other physical/biochemical factors in the body that are very poorly understood. We only have slightly better understanding of its brain development recently ( https://www.nature.com/articles/s41586-021-03778-8 ). The in vivo research on C. elegans neural system mostly uses the concentration of Ca+ as the neuron activity indicator, which lefts out other details.
According to the postdoc that I talked with, we are still very very far from even accurately understanding a single neuron, let alone simulating any neural network completely.
Edit: typo