http://www.gamesjobsjapan.com/
- Grasshopper
| # OPS Info | |
| ## Info: | |
| * Google Custom Alerts: http://google.com/alerts/ | |
| * Google Reverse Image search instructions: https://support.google.com/websearch/answer/1325808?hl=en | |
| ## Antitheft Apps : | |
| * Lookout: https://www.lookout.com/ |
http://www.gamesjobsjapan.com/
On the 30th of June, my cloud provider, Oracle Cloud, decided to shutdown all my servers hosted on two Oracle Cloud accounts.
It is known that this provider will randomly ban accounts without any reason.
Unfortunately and this is 100% my fault for forgetting that, I only had data duplication between servers located in the two Oracle Cloud accounts and no backups.
I thought that I wouldn't get all my accounts in trouble at the same time and able to recover the data from one of the two accounts but unfortunately this turned out otherwise.
Implementing some backup was something I had in my notes for a long time but I think I forgot about it, maybe due to the huge amount of work I spend on the open source projects.
I'm deeply sorry if you have lost your subscriptions list or playlists or watch history. I did try to contact Oracle Cloud for recovering the data, I'm waiting for their answer but you should be certain that they
The last SDK is available in https://dl.google.com/android/repository/platform-tools-latest-windows.zip
Please do a favor to yourself and dont extract to root of your C drive.
| Windows command | Unix command | Notes |
|---|---|---|
| set | env | Set on Windows prints a list of all environment variables. For individual environment variables, set is the same as echo $ on Unix. |
| set Path | export $PATH | Print the value of the environment variable using set in Windows. |
| set PROJ | -- | result: PROJ=c:\project |
| echo %PROJ% | echo $PROJ | result: c:\project |
|
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.