MIT
Sunday, April 30, 2023
Saturday, April 29, 2023
AssemblyScript vs TypeScript
AssemblyScript is *not* a subset of TypeScript - DEV Community"
AssemblyScript definitely not a TypeScript to Web Assembly compiler. In fact, there are lots of differences between the syntaxes used in TypeScript that don't match up nicely with AssemblyScript."
AssemblyScript
Designed for WebAssembly: AssemblyScript targets WebAssembly's feature set specifically, giving developers low-level control over their code.
Familiar TypeScript syntax: Its similarity with TypeScript makes it easy to compile to WebAssembly without learning a new language.
Right at your fingertips: Integrates with the existing Web ecosystem - no heavy toolchains to set up. Simply npm install it!
AssemblyScript
Designed for WebAssembly: AssemblyScript targets WebAssembly's feature set specifically, giving developers low-level control over their code.
Familiar TypeScript syntax: Its similarity with TypeScript makes it easy to compile to WebAssembly without learning a new language.
Right at your fingertips: Integrates with the existing Web ecosystem - no heavy toolchains to set up. Simply npm install it!
TypeScript is a strongly typed programming language that builds on JavaScript, giving you better tooling at any scale.
AI Code Generator - Amazon CodeWhisperer @ AWS
AI Code Generator - Amazon CodeWhisperer - AWS
CodeWhisperer is trained on billions of lines of code and can generate code suggestions ranging from snippets to full functions in real time based on your comments and existing code. Bypass time-consuming coding tasks and accelerate building with unfamiliar APIs.
CodeWhisperer is trained on billions of lines of code and can generate code suggestions ranging from snippets to full functions in real time based on your comments and existing code. Bypass time-consuming coding tasks and accelerate building with unfamiliar APIs.
Friday, April 28, 2023
Inside OpenAI with Ilya Sutskever
Inside OpenAI [Entire Talk] - YouTube
Ilya Sutskever is the co-founder and chief scientist of OpenAI, which aims to build artificial general intelligence that benefits all of humanity. He leads research at OpenAI and is one of the architects behind the GPT models. In this conversation with Stanford adjunct lecturer Ravi Belani, Sutskever explains his approach to making complex decisions at OpenAI and for AI companies in general, and makes predictions about the future of deep learning.
Ilya Sutskever is the co-founder and chief scientist of OpenAI, which aims to build artificial general intelligence that benefits all of humanity. He leads research at OpenAI and is one of the architects behind the GPT models. In this conversation with Stanford adjunct lecturer Ravi Belani, Sutskever explains his approach to making complex decisions at OpenAI and for AI companies in general, and makes predictions about the future of deep learning.
JS chess engine + React UI
no dependencies! MIT
Simple JavaScript chess engine without dependencies written in NodeJs. It can be used on both, server or client (web browser) and do not need persistent storage - handy for serverless solutions like AWS Lambda. This engine also includes configurable basic AI computer logic.
examples
js-chess-engine-app - React application example with js-chess-engine REST API backend (without persistent storage) - GitHub or LIVE DEMO
Simple Fastify server
Console
PC vs PC match
josefjadrny/js-chess-engine-app: Single-page React app example for js-chess engine backend @GitHub
single-page React app example for js-chess-engine backend.
some alternatives:
Build a Simple Chess AI in JavaScript - DEV Community
Chess AI (https://zeyu2001.github.io/chess-ai/)
zeyu2001/chess-ai: Simple chess AI in JavaScript. Uses the chess.js and chessboard.js libraries. @GitHub
A step-by-step guide to building a simple chess AI @ freecodecamp
lhartikk/simple-chess-ai: A simple chess AI @GitHub
raydog/deno-chess: A Typescript Chess engine. @GitHub
Deno-Chess is a speedy pure-Typescript chess engine. It is packaged for Deno, as well as for the browser (TypeScript, MIT)
jbkunst/chessboardjs-themes: A try to make chessboardjs pieces and color themes
Thursday, April 27, 2023
AI/ML: dalai LLaMA
DIY "alternative" to ChatGPT
Dalai, InputOutput.dev, Wik, Rspack, Doodle, Marqo & iLLA (Changelog News) |> Changelog
cocktailpeanut/dalai: The simplest way to run LLaMA on your local machine
Run LLaMA and Alpaca on your computer.
facebookresearch/llama: Inference code for LLaMA models
Wednesday, April 26, 2023
containers: Alpine Linux DNS issue
Why I Will Never Use Alpine Linux Ever Again | Martin Heinz | Personal Website & Blog
"To understand what makes Alpine a bad choice in some situations, we first need to talk about musl. musl is an implementation of C standard library. It is more lightweight, faster and simpler than glibc used by other Linux distros, such as Ubuntu. Both of these implementations are interchangeable for the most part, that's why in most cases you can switch from e.g., Ubuntu to Alpine and never notice any difference.
However, the little differences can cause all the grief. Some of it stems from how musl (and therefore also Alpine) handles DNS (it's always DNS), more specifically, musl (by design) doesn't support DNS-over-TCP. Usually, you would not notice this difference, because most of the time a single UDP packet (512 bytes) is enough to resolve hostnames... until it isn't enough and your application (running on Kubernetes) that previously worked completely fine for months suddenly starts throwing "Unknown Host" exceptions for one particular (very critical) hostname. The worst part is that this can manifest randomly, anytime when some external network change causes the resolution of some particular domain to require more than the 512 bytes available in single UDP packet.
By using Alpine, you're getting "free" chaos engineering for you cluster."
"To understand what makes Alpine a bad choice in some situations, we first need to talk about musl. musl is an implementation of C standard library. It is more lightweight, faster and simpler than glibc used by other Linux distros, such as Ubuntu. Both of these implementations are interchangeable for the most part, that's why in most cases you can switch from e.g., Ubuntu to Alpine and never notice any difference.
However, the little differences can cause all the grief. Some of it stems from how musl (and therefore also Alpine) handles DNS (it's always DNS), more specifically, musl (by design) doesn't support DNS-over-TCP. Usually, you would not notice this difference, because most of the time a single UDP packet (512 bytes) is enough to resolve hostnames... until it isn't enough and your application (running on Kubernetes) that previously worked completely fine for months suddenly starts throwing "Unknown Host" exceptions for one particular (very critical) hostname. The worst part is that this can manifest randomly, anytime when some external network change causes the resolution of some particular domain to require more than the 512 bytes available in single UDP packet.
By using Alpine, you're getting "free" chaos engineering for you cluster."
workaround: use short names for services in K8s.
Tuesday, April 25, 2023
Apple M1/M2 += Linux, Windows
Linux 6.2: The first mainstream Linux kernel for Apple M1 chips arrives | ZDNET
Linux is now ready to run on modern Macs.Monday, April 24, 2023
Stack Overflow: "monolith" architecture
Stack Overflow is a multi-tenant monolithic application serving 2 billion monthly page views across 200 sites.
Sunday, April 23, 2023
book: Language Implementation Patterns
Learn to build configuration file readers, data readers, model-driven code generators, source-to-source translators, source analyzers, and interpreters. You don’t need a background in computer science—ANTLR creator Terence Parr demystifies language implementation by breaking it down into the most common design patterns. Pattern by pattern, you’ll learn the key skills you need to implement your own computer languages.
Language Implementation Patterns
Testing ANTLR4
ANTLR.org
ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files. It's widely used to build languages, tools, and frameworks. From a grammar, ANTLR generates a parser that can build and walk parse trees.
ANTLR Lab: learn, test, and experiment with ANTLR grammars online!
antlr/antlr4-lab: A client/server for trying out and learning about ANTLR
- Complete ANTLR 4.12.0 Java binaries jar. Complete ANTLR 4.12.0 tool, Java runtime and ST 4.0.8, which lets you run the tool and the generated code.
- ANTLR 4.12.0 Java runtime binaries jar. Only what's needed for building and executing parsers/lexers generated in Java.
download and use Java from Oracle, not from java.com
copy .jar to Java "lib" folder, and
add location of antlr jar file to java CLASSPATH env var
C:\Program Files\Java\jdk-20\lib\antlr-4.12.0-complete.jar;%CLASSPATH%;
antlr4/javascript-target.md at master · antlr/antlr4 · GitHub
for JavaScript examples to work, the version of antrl4 jar file and antlr4.js have to match.
to achieve this one way is to set fixed version of antlr4.js in node.js package.json file
ANTLR examples from Strumenta
ANTLR and the web: a simple example - Strumenta
VS Code plugins
ANTLR4 grammar syntax support - Visual Studio Marketplace
Saturday, April 22, 2023
book: How To Create Pragmatic, Lightweight Languages (with ANTLR)
Friday, April 21, 2023
AI: Google Bard += software development
Bard.google.com
Google’s Bard AI chatbot can now generate and debug code | TechCrunch
"Google said Friday it is launching these software development capabilities in more than 20 programming languages including C++, Go, Java, JavaScript, Python and TypeScript. Users can export Python code to Google Colab. Bard can also help with writing functions for Google Sheets.Collectively, this means that Bard, the generative AI experiment Google launched earlier this year, can review and help users debug their source code line by line. Google said developers can tell Bard “this code didn’t work, please fix it,” and it will help debug.
It can also translate code from one language to another and explain code snippets, a helpful feature for those new to programming.
Bard, which was created to compete with ChatGPT and other language models, didn’t quite stack up to its AI peers in TechCrunch’s own testing on chatbot performance. This latest set of skills could help Bard at least keep apace with ChatGPT and Claude — at least on paper."
book: Seven Languages in Seven Weeks
Ruby, Io, Prolog, Scala, Erlang, Clojure, Haskell.
With Seven Languages in Seven Weeks, by Bruce A. Tate, you'll go beyond the syntax-and beyond the 20-minute tutorial you'll find someplace online. This book has an audacious goal: to present a meaningful exploration of seven languages within a single book. Rather than serve as a complete reference or installation guide, Seven Languages hits what's essential and unique about each language. Moreover, this approach will help teach you how to grok new languages.
Seven Languages in Seven Weeks
Thursday, April 20, 2023
SpaceX: Starship Flight Test
Starship Flight Test - YouTube
the first flight test of a fully integrated Starship and Super Heavy rocket from Starbase in Texas(FAA) has marked 17 April as the primary launch date. There are also backup launch dates in place for 18-22 April, according to the FAA’s Operation Plans Advisory report.
SpaceX postpones Starship orbital launch attempt @CNBC
Wednesday, April 19, 2023
AI: danger and benefit
Ionic 7
Changes include:
- Inline Overlays - Declarative overlays are now available on all overlay components
- Consistent Event Emissions - ionChange will only fire as a result of user interaction
- Simplified Form Control Syntax - Improved compatibility with assistive technologies and less code boilerplate
- Performance Improvements - Tab switches are up to 70% faster than they were in v6
- And so much more...
How ChatGPT works, by Cal Newport, MIT PhD
Ep. 244: Cal Newport’s Thoughts on ChatGPT - YouTube
Are new AI technologies like ChatGPT about to massively disrupt our world? Drawing from his recent New Yorker article on the topic, Cal explains exactly how programs like ChatGPT work, and uses this knowledge to explain why we can calm our fears about this new technology.
Are new AI technologies like ChatGPT about to massively disrupt our world? Drawing from his recent New Yorker article on the topic, Cal explains exactly how programs like ChatGPT work, and uses this knowledge to explain why we can calm our fears about this new technology.
Links from today's episode:
Tuesday, April 18, 2023
Auto-GPT: self-improving AI
Significant-Gravitas/Auto-GPT: An experimental open-source attempt to make GPT-4 fully autonomous. @GitHub
Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set. As one of the first examples of GPT-4 running fully autonomously, Auto-GPT pushes the boundaries of what is possible with AI.
ChatGPT Prompts Itself - Should We Fear AutoGPT? - YouTube
Course: ChatGPT, Midjourney, DALL-E 3 & APIs - The Complete Guide | Udemy Business
AutoGPT is a powerful platform that allows you to create, deploy, and manage continuous AI agents that automate complex workflows.
book: The Singularity Is Nearer by Ray Kurzweil (coming in 2024)
What The 2030s Will Look Like with Ray Kurzweil - YouTube
What is the singularity? On this explainer, Neil deGrasse Tyson gets some help from futurist, author, and inventor, Ray Kurzweil, to explain our eventual merge with computers. Could a machine pass a Turing test as soon as 2029?
The Singularity Is Nearer , Kurzweil, Ray - Amazon.com
The Singularity Is Near: When Humans Transcend Biology, Kurzweil, Ray, eBook - Amazon.com
The Singularity Is Near - Wikipedia
Monday, April 17, 2023
personal media server sw
Jellyfin is a free and open-source media server and suite of multimedia applications designed to organize, manage, and share digital media files to networked devices. Jellyfin consists of a server application installed on a machine running Microsoft Windows, macOS, Linux or in a Docker container, and another application running on a client device such as a smartphone, tablet, smart TV, streaming media player, game console or in a web browser.[2] Jellyfin also can serve media to DLNA and Chromecast-enabled devices.[3] It is a fork of Emby.[4]
Nextcloud - Online collaboration platform
Mac mini (October 2014) Core i5 1.4 GHz - HDD 500 GB - 8GB | Back Market
$130 (used, 1 year warranty)
$270, new
symbolic math computation: math.js vs SymPy
math.js | an extensive math library for JavaScript and Node.js
Math.js is an extensive math library for JavaScript and Node.js. It features a flexible expression parser with support for symbolic computation, comes with a large set of built-in functions and constants, and offers an integrated solution to work with different data types like numbers, big numbers, complex numbers, fractions, units, and matrices. Powerful and easy to use.
Math.js is an extensive math library for JavaScript and Node.js. It features a flexible expression parser with support for symbolic computation, comes with a large set of built-in functions and constants, and offers an integrated solution to work with different data types like numbers, big numbers, complex numbers, fractions, units, and matrices. Powerful and easy to use.
SymPy translation to JavaScript · Issue #165 · open-source-ideas/ideas
SymPy
SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python.
SymPy
SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python.
Sunday, April 16, 2023
Microsoft Edge WebView2 vs Electron
Introduction to Microsoft Edge WebView2 - Microsoft Edge Development | Microsoft Learn
used by new version of MS Teams, claims to be 2x faster, whatever this means...
it is also well integrated with dotnet, in addition C++/node.js,
"should" be able to also support non-Windows platforms, to be investigated...
ChatGPT doesn't keep secrets
Samsung ChatGPT leak: Samsung workers accidentally leak trade secrets to the AI chatbot | Mashable
Never forget that anything you share with ChatGPT is retained and used to further train the model. Samsung employees have learned this the hard way after accidentally leaking top secret Samsung data.
Never forget that anything you share with ChatGPT is retained and used to further train the model. Samsung employees have learned this the hard way after accidentally leaking top secret Samsung data.
AI danger! a warning from MIT
excellent podcast interview
also an interesting view on "machine intelligence"
also an interesting view on "machine intelligence"
at this point is is focused on performing tasks, with no "consciousness"
and interestingly, humans also have "sub consciousness mind", focused on tasks.
and interestingly, humans also have "sub consciousness mind", focused on tasks.
the difference is that human sub-conscious does not have language capability,
while latest AI (LLMs, like ChatGPT) do...
and they also has APIs to integrate with "agents" to perform actions.
and they also has APIs to integrate with "agents" to perform actions.
No consciousness, with capability to do almost anything, and no oversight: big danger!
we are now dealing with "cute baby AI", soon to become AGI monster?
Max Tegmark: The Case for Halting AI Development | Lex Fridman Podcast #371 - YouTube
Max Tegmark is a physicist and AI researcher at MIT, co-founder of the Future of Life Institute, and author of Life 3.0: Being Human in the Age of Artificial Intelligence.
Max's Twitter: https://twitter.com/tegmark
Max Tegmark is a physicist and AI researcher at MIT, co-founder of the Future of Life Institute, and author of Life 3.0: Being Human in the Age of Artificial Intelligence.
Max's Twitter: https://twitter.com/tegmark
Max's Website: https://space.mit.edu/home/tegmark
Pause Giant AI Experiments (open letter): https://futureoflife.org/open-letter/...
Future of Life Institute: https://futureoflife.org
Books and resources mentioned:
1. Life 3.0 (book): https://amzn.to/3UB9rXB
2. Meditations on Moloch (essay): https://slatestarcodex.com/2014/07/30...
related, also from very prominent AI experts
Yann LeCun and Andrew Ng: Why the 6-month AI Pause is a Bad Idea - YouTube
Yann LeCun and Andrew Ng: Why the 6-month AI Pause is a Bad Idea - YouTube
demo :)
Saturday, April 15, 2023
Friday, April 14, 2023
GPT-4 => AGI ?
Sparks of AGI: early experiments with GPT-4 - YouTube
a first hand view / experience from Microsoft Research...
Thursday, April 13, 2023
ChatGPT vs ...
Getting the Right Answer from ChatGPT – O’Reilly
What Are ChatGPT and Its Friends? – O’Reilly
GPT-3.5 is one of a class of language models that are sometimes called “large language models” (LLMs)
- ChatGPT itself
Developed by OpenAI; based on GPT-3.5 with specialized training. An API for ChatGPT is available. - GPT-2, 3, 3.5, and 4
Large language models developed by OpenAI. GPT-2 is open source. GPT-3 and GPT-4 are not open source, but are available for free and paid access. The user interface for GPT-4 is similar to ChatGPT. - Sydney
The internal code name of the chatbot behind Microsoft’s improved search engine, Bing. Sydney is based on GPT-4,1 with additional training. - Kosmos-1
Developed by Microsoft, and trained on image content in addition to text. Microsoft plans to release this model to developers, though they haven’t yet. - LaMDA
Developed by Google; few people have access to it, though its capabilities appear to be very similar to ChatGPT. Notorious for having led one Google employee to believe that it was sentient. - PaLM
Also developed by Google. With three times as many parameters as LaMDA, it appears to be very powerful. PaLM-E, a variant, is a multimodal model that can work with images; it has been used to control robots. Google has announced an API for PaLM, but at this point, there is only a waiting list. - Chinchilla
Also developed by Google. While it is still very large, it is significantly smaller than models like GPT-3 while offering similar performance. - Bard
Google’s code name for its chat-oriented search engine, based on their LaMDA model, and only demoed once in public. A waiting list to try Bard was recently opened. - Claude
Developed by Anthropic, a Google-funded startup. Poe is a chat app based on Claude, and available through Quora; there is a waiting list for access to the Claude API. - LLaMA
Developed by Facebook/Meta, and available to researchers by application. Facebook released a previous model, OPT-175B, to the open source community. The LLaMA source code has been ported to C++, and a small version of the model itself (7B) has been leaked to the public, yielding a model that can run on laptops. - BLOOM
An open source model developed by the BigScience workshop. - Stable Diffusion
An open source model developed by Stability AI for generating images from text. A large language model “understands” the prompt and controls a diffusion model that generates the image. Although Stable Diffusion generates images rather than text, it’s what alerted the public to the ability of AI to process human language.
online IDE tool: StackBlitz
VS Code in web browser, including server side!
StackBlitz, an online development environment for frontend, Node.js and the JavaScript ecosystem.
Wednesday, April 12, 2023
Microsoft Teams "2.0" with React, WebView2: 2x faster
Introducing the new Microsoft Teams | Microsoft 365 Blog
Microsoft rebuilt Teams from the ground up, promises 2x faster performance | TechCrunch
it optimized the Teams data, network, chat and video architecture to achieve this. A significant part of this enhancement also results from the app’s transition from Electron to Microsoft’s Edge WebView 2 rendering engine. Microsoft also notes that it moved from using AngularJS as the web development framework for Teams to React for building the user interface and standardized on Microsoft’s Fluent UI UX controls.
Create a unique ID with javascript time
Create a unique number with javascript time - Stack Overflow
Date.now().toString(36)
'lge1j7wp'
How to generate a Unique ID in JavaScript - Clue Mediator
1 2 3 4 5 6 | const uid = function(){ return Date.now().toString(36) + Math.random().toString(36).substr(2); } console.log(uid()); // Output: kyg0z26npc43wq7vaa |
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