Complete guide to setting up Antigravity's browser subagent in a WSL2 + Windows 11 environment.
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| """ | |
| The most atomic way to train and inference a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
| # OpenClaw Implementation Prompts | |
| Each prompt below is a self-contained brief you can hand to an AI coding assistant (or use as a project spec) to build that use case from scratch. Adapt the specific services to whatever you already use — the patterns are what matter. | |
| --- | |
| ## 1) Personal CRM Intelligence | |
| ``` | |
| Build me a personal CRM system that automatically tracks everyone I interact with, with smart filtering so it only adds real people — not newsletters, bots, or cold outreach. |
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Install a working (and compiled) version of virt-viewer. You may view the homebrew package's upstream source on GitHub.
brew tap jeffreywildman/homebrew-virt-manager brew install virt-viewer
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Once that's installed should be able make a call
remote-viewerwith a pve-spice.vv file downloaded from proxmox web interface
Ref: Exclusive Q&A: John Carmack’s ‘Different Path’ to Artificial General Intelligence
"So I asked Ilya Sutskever, OpenAI’s chief scientist, for a reading list. He gave me a list of like 40 research papers and said, ‘If you really learn all of these, you’ll know 90% of what matters today.’ And I did. I plowed through all those things and it all started sorting out in my head."
Ref: https://x.com/ID_AA_Carmack/status/1622673143469858816
I rather expected @ilyasut to have made a public post by now after all the discussion of the AI reading list he gave me. A canonical list of references from a leading figure would be appreciated by many. I would be curious myself about what he would add from the last three years.
| .org $8000 | |
| .org $ff00 | |
| XAML = $24 ; Last "opened" location Low | |
| XAMH = $25 ; Last "opened" location High | |
| STL = $26 ; Store address Low | |
| STH = $27 ; Store address High | |
| L = $28 ; Hex value parsing Low | |
| H = $29 ; Hex value parsing High | |
| YSAV = $2A ; Used to see if hex value is given |
| class Node(): | |
| """A node class for A* Pathfinding""" | |
| def __init__(self, parent=None, position=None): | |
| self.parent = parent | |
| self.position = position | |
| self.g = 0 | |
| self.h = 0 |
