Live chat with experts.React Native, Node.JS, TypeScript, Firebase, Redis, Ffmpeg
Online black community.React.js, Hooks, React Native, Tailwind, Node.js
Social food experiences.React, Next.js, Node.js, Sentry, E-Commerce
Virtual Economy Web
Virtual economy blog.React.js, Gatsby, GSAP, Three.js
Clear and direct donation.Vue.js, Vuex, Node.js, Express, Sentry, Stripe
Data LWP Android
Digital live wallpaper.Android Java
RPS Online Android
Anonymous Rock Paper ScissorsAndroid Java
Outreach Center Web
Local outreach services.Ubuntu Server, Node.js, Express.js, MongoDB, HTML5
Ominous Beeper Android
Ominous beeping app.Android Java
Your retro virtual therapist.Android Java, Node.js, Slack API, Telegram API
Make an anime character.Android Java
A new way to do math.Android Java
Notification Pet Android
Now digital.Android Java
Pet Rock Android
Now digital.Android Java
Jesus Quote Bot Telegram
Get quotes from Jesus.Node.js, Telegram API
Hold it Down!Android Java
Plant Light Android
Check light levels.Android Java
Twitter Bot Twitter
Manage my Twitter account.Node.js, Twitter API, MongoDB
Store, recall, and share data.Node.js, Slack API
Create and manage gigs.Node.js, Slack API
Search data from SlotCatalog.comNode.js, Custom API, Slack API
Lay Bet Slack
Calculate betting odds.Node.js, Slack API
The simplest instrument.Android Java
Good Noise Android
Silence can be deafening.Android Java
Split and join your files.Node.js
Kyte Product Hunt
Crypto airdrop and ICO alerts.Android Java, Node.js, Slack API
Crypto search and stats.Android Java, Node.js, MongoDB, CMC API
We'll see how today goes. Wish me luck.
Brainfuck is an esoteric minimal programming language that can be easy to learn, but almost impossible to do anything practical with. Brainfuck is a Turing-complete language, meaning that it can be used to describe any computable function. This makes it a powerful tool for exploring theoretical computer science concepts.
Moreover, Brainfuck is fun to play with. It is easy to create simple programs, but hard to achieve any real programming accomplishments with it. Brainfuck was invented in 1992 by Urban Müller as a joke. It is now used to teach computer programming to students all over the world.
The language consists of a tape (a list of memory cells that store integer values called cells), a tape pointer, and other instructions that allow looping, addition and subtraction, and the input and output of values in a cell. All this only totals 8 commands and any other characters in the source code are ignored as comments.
Here's a classic hello world program.
The language is so minimalistic it is quite simple to make your own interpreter. I made one on this very site. You can play with it here. Brainfuck has inspired countless derivatives with all kinds of creative twists.
Due to the unintuitive nature of Brainfuck, it is a great tool for learning how to think more deeply about computer programming.
In the past few years AI has evolved very rapidly. There are large language models like GPT-2, GPT-3, Google's PaLM and T5-XXL that process language through prompts and input and return predictions. If prompted correctly this AI can produce a myriad of interesting and relevant output.
An applicable example of this is Replika, a companion AI app that previously used GPT-3, but has changed to a custom implementation of GPT-J (an open source model) to simulate companionship.
ELIZA is an early natural language processing computer program created from 1964 to 1966 at the MIT Artificial Intelligence Laboratory by Joseph Weizenbaum. Created to demonstrate the superficiality of communication between humans and machines, Eliza simulated conversation by using a "pattern matching" and substitution methodology that gave users an illusion of understanding on the part of the program, but had no built in framework for contextualizing events.
Joseph Weizenbaum’s ELIZA, running the DOCTOR script, was created to provide a parody of "the responses of a non-directional psychotherapist in an initial psychiatric interview" and to "demonstrate that the communication between man and machine was superficial".
The ELIZA effect, in computer science, is the tendency to unconsciously assume computer behaviors are analogous to human behaviors; that is, anthropomorphisation.
ELIZA has been referenced in popular culture and continues to be a source of inspiration for programmers and developers focused on artificial intelligence. I've even created my own implementations. You can get a modern version of ELIZA in the form of a chat application for Android here or for Telegram here.
While ELIZA is most popular as a virtual therapist, where does she fit into this modern world of AI?
ELIZA is scriptable so you can customize responses in relation to the input given. While the system is weak it is possible to get some interesting and clever output. With no sense of context output comes out as robotic if interaction continues long enough.
Here you can see a part of the script ELIZA is based on. ELIZA is a very minimal chatbot. With the ability to customize scripts to suit a user's needs there may be some use for ELIZA even after all these years.
Keep in mind that modern AI is itself very clever. I propose using a modern language model to populate an ELIZA script in order to create a more realistic chatbot that can possibly pass a Turing test.
The clever use of word play could simulate context to make a modern ELIZA script work for modern use in places where heavier chat bots are currently implemented. Customer service bots are a big market. There's a huge diversity of choices with many developers choosing to just simply make one from scratch for fun or to avoid learning a new framework to make the bot output for their particular use.
So where does ELIZA, the first chat bot fit into this world of language model AI with tens or hundreds of billions of parameters?
"She" has a place. It appears no one has taken ELIZA seriously. After a Github search it becomes apparent there's not much interest in a system that is so dated. Not just in education for programmers or fun. Perhaps generate scripts using more modern AI with the benefit of how low ELIZA is on resources could result in more accessible chatbots on various platforms with minimal response delay due to the lack of dependence on a network connection.
Maybe we should give ELIZA some credit and try a little harder to work with "her" because there's a lot of unexplored potential.
Just to clairify, I'm not entirely opposed to the idea of using a framework itself. What I mean is there are lots of reasons you shouldn't or don't even need to use them.
This smoothly transitions to my first point:
It is faster than ever to run a simple command like
ng new project nameto get a minimal functional server or website running without ever truly understanding what that even means.
This brings me to my next point:
Recruiters Suck at Their Job
It is pretty ironic, but often due to the fast-paced nature of an ever-changing "standard" set by frameworks, job recruiters and even the companies that employ them are often searching for a paradoxical employee.
I can't count on my 64-bit integers how many times I've seen posts and even had interviews for Vue.js developers with 10 years experience. Vue.js was initially released in early 2014. As of now it is only about to approach 8 years old.
Let's hope their requirements change or they will be looking for that one special employee for the next few years.
I'm Done... For Now
This is my first blog post ever.
I wanted to add a blog section to my site just to vent my current frustrations with the job market and to implement some new features to my site for fun.
Feel free to go back to what I'm sure will soon be my list of complaints to the industry.
React Native Developer
"Chris was great with helping us update our app fast before the deadline. Definitely will work with Chris again on future projects!"Jamel Robinson - Apr 21 , 2022
React Native Developer
"Chris was very easy to communicate with. He responded quickly and he solve complicated problems, in a timely fashion."Alejandra Ponce - Apr 12 , 2022
"This freelancer did a great job on all of the various, difficult projects that were assigned."Matt Dolan - Dec 19, 2021
Full Stack Mobile Developer
"Did a great job. Completed work very quickly. Easy to work with. I especially appreciated his consistent and clear communication."Karen Gomez - Sep 16, 2021
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