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ScubaBear (HTML5) - perfectly polished, the game is fun to play, and I really like the music changes depending on diving depth, and also the health bar is very original! Amazing to see so much good content created in three days!
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Asteroid Tycoon (HTML5) - Fun to play, graphics are awesome, some nice humour too! The interface is pretty and convenient.
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A Glorious Escape for A Lich King (FLASH) - A very good Tower Defence game, with a good interpretation of the theme "Beneath the surface". Graphics are nice too!
Discover gists
Projects using Jev, TypeSafe AI's System One decision model (released 2026-09-15), in investment, trading, and financial-data contexts. Surveyed 2026-09-20 via GitHub API and community awesome-lists.
- jarrodwatts/jev-trader (★1.3k, 2026-09-16) — One AI trade decision every Monad block (~300 ms). Jev reads the Kuru MON-USDC order book and answers buy or sell; the bot posts a post-only limit order one tick inside the touch, earning the spread. Bun/TypeScript, dry-run mode, SSE dashboard. The template most projects below derive from.
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.
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| <div class="wp-block-columns alignwide"><!-- wp:column {"width":"50%"} --> | |
| <div class="wp-block-column" style="flex-basis:50%"><!-- wp:heading {"style":{"typography":{"fontStyle":"normal","fontWeight":"700"}}} --> | |
| <h2 class="wp-block-heading" style="font-style:normal;font-weight:700">Learn <strong>WordPress </strong><br>in three easy steps...</h2> | |
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| @media -moz-pref('browser.nova.enabled') { | |
| :root { | |
| --chrome-window-gap: 0px !important; | |
| --chrome-block-radius: 0px !important; | |
| --chrome-content-separator-color: unset !important; | |
| } | |
| .tab-background { | |
| border-radius: 8px !important; | |
| } |
| # The code uses API providers from different networks to check the balance of wallets | |
| # whose mnemonic phrases have been determined to be valid. The results are written to a separate file. | |
| from tqdm import tqdm | |
| from web3 import Web3 | |
| from eth_account import Account | |
| # Enable unaudited HD wallet features | |
| Account.enable_unaudited_hdwallet_features() |
A hands-on one semester course where students build their own compiler from scratch, starting from elementwise programs and ending with training SOTA LLMs on GPUs. This course aggressively builds on the previous week, and is an exercise in slop management. If you let any slop in early, it will compound and you will not finish the class.
This syllabus will outline the spec, but not the implementation. The implementation and choice of programming language is up to the student. There is no starter code. We will establish a universal, simple, interchange format for UOps.
; uop v1 256x256 GEMM
%0 = BUFFER : float slot=0 size=65536
%1 = BUFFER : float slot=1 size=65536


