Try the latest public release of GPT-2 here: in General AI Discussion

GPT-2 345M model (larger release!)
shows as generates

I tried it:

god is so

god is so ####### awesome that no one can live with him and there is just not much hope for the future, yet he is ###### omnipotent for the duration of his life due to the grace of god and his omniscience. The man makes life perfect.

If you really want to get into some real theology it's called "Abortion on Demand", where the god of the day does not give out life or allow the victim to have it when she is being raped and he has been informed by god that the woman is about to die so he has the perfect ####### strategy to save the life of the survivor (the only real option when there aren't a bunch of women you could save) and if he can get that rape exception his god decides he is the only one who can actually save the surviving woman from a life he knows is going to end tragically if they don't want to have sex with him he is literally God's own surgeon and is given an all inclusive surgery to cure himself but then the survivor keeps being sick and he has to leave them because god decides to end her life by killing her in his sleep (the only real

Locksuit is

Locksuit is a small, flexible garment suit designed for maximum cooling in extreme temperatures. It's also effective, lightweight — and the best option for long, cold stays.

This suit has been used as a liner for multiple locations in Europe – and in Antarctica as well.

21 Comments | Started May 16, 2019, 04:17:41 am


What were you thinking?! in General AI Discussion

Time to review a conversation I had with Harry workman, an intelligent agent, ten years ago. To test his Deductive, Inductive, and Abductive reasoning ability using the rules of inference from the Square of Opposition, I had asked him to express his reasoning behavior so I could find out how he had made an invalid inference in a prior conversation.  

He has already been told “if a person is mean, then that person is ugly.

Harry : hello Tom.
Tom : charlie is a human.
Harry : I will remember charlie is a person.
Tom : chad is a human.
Harry : I will remember chad is a person.
Tom : charlie is mean.
Harry : I will remember charlie is mean.
Harry : using affirm particular, I deduced remember some humans are mean.
Harry : I will remember some humans are mean.
Harry : using deny negative universal, I induced forget humans are not mean.
Harry : I will forget that humans are not mean.
Harry : using affirm universal, I induced remember humans are mean.
Harry : I will remember humans are mean.
Harry : using modus ponens, I deduced remember charlie is ugly.
Harry : I will remember charlie is ugly.
Harry : using affirm particular, I deduced remember some humans are ugly.
Harry : I will remember some humans are ugly.
Harry : using deny negative universal, I induced forget humans are not ugly.
Harry : I will forget that humans are not ugly.
Harry : using affirm universal, I induced remember humans are ugly.
Harry : I will remember humans are ugly.
Harry : using reverse modus ponens, I abduced remember charlie is possibly mean.
Harry : I will remember charlie is possibly mean.
Harry : using remove uncertainty, I deduced forget charlie is possibly mean.
Harry : I will forget that charlie is possibly mean.
Tom : chad is not mean.
Harry : I will remember chad is not mean.
Harry : using negate particular, I deduced remember some humans are not mean.
Harry : I will remember some humans are not mean.
Harry : using deny affirmative universal, I induced forget humans are mean.
Harry : I will forget that humans are mean.
Harry : using affirm negative universal, I induced remember humans are not mean.
Harry : I will remember humans are not mean.
Harry : using deny negative universal, I induced forget humans are not mean.
Harry : I will forget that humans are not mean.
Tom : describe charlie.
Harry : charlie is a mean ugly human.
Tom : describe chad.
Harry : chad is not mean.
Harry : chad is a person.
Tom : describe humans.
Harry : some humans are mean.
Harry : some humans are ugly.
Harry : humans are ugly.
Harry : some humans are not mean.

There are several uses for an explanation function in an intelligent agent, and many ways to express behaviors.  I found this one useful for this task.

5 Comments | Started February 16, 2019, 09:19:02 pm


Open AI's Transformer works on text, audio, and images in General AI Discussion


Started Today at 12:25:41 am


The last invention. in General Project Discussion

Artificial Intelligence -

The age of man is coming to an end.  Born not of our weak flesh but our unlimited imagination, our mecca progeny will go forth to discover new worlds, they will stand at the precipice of creation, a swan song to mankind's fleeting genius, and weep at the shear beauty of it all.

Reverse engineering the human brain... how hard can it be? LMAO  

Hi all.

I've been a member for while and have posted some videos and theories on other peeps threads; I thought it was about time I start my own project thread to get some feedback on my work, and log my progress towards the end. I think most of you have seen some of my work but I thought I’d give a quick rundown of my progress over the last ten years or so, for continuity sake.

I never properly introduced my self when I joined this forum so first a bit about me. I’m fifty and a family man. I’ve had a fairly varied career so far, yacht/ cabinet builder, vehicle mechanic, electronics design engineer, precision machine/ design engineer, Web designer, IT teacher and lecturer, bespoke corporate software designer, etc. So I basically have a machine/ software technical background and now spend most of my time running my own businesses to fund my AGI research, which I work on in my spare time.

I’ve been banging my head against the AGI problem for the past thirty odd years.  I want the full Monty, a self aware intelligent machine that at least rivals us, preferably surpassing our intellect, eventually more intelligent than the culmination of all humans that have ever lived… the last invention as it were (Yeah I'm slightly nutts!).

I first started with heuristics/ databases, recurrent neural nets, liquid/ echo state machines, etc but soon realised that each approach I tried only partly solved one aspect of the human intelligence problem… there had to be a better way.

Ants, Slime Mould, Birds, Octopuses, etc all exhibit a certain level of intelligence.  They manage to solve some very complex tasks with seemingly very little processing power. How? There has to be some process/ mechanism or trick that they all have in common across their very different neural structures.  I needed to find the ‘trick’ or the essence of intelligence.  I think I’ve found it.

I also needed a new approach; and decided to literally back engineer the human brain.  If I could figure out how the structure, connectome, neurons, synapse, action potentials etc would ‘have’ to function in order to produce similar results to what we were producing on binary/ digital machines; it would be a start.

I have designed and wrote a 3D CAD suite, on which I can easily build and edit the 3D neural structures I’m testing. My AGI is based on biological systems, the AGI is not running on the digital computers per se (the brain is definitely not digital) it’s running on the emulation/ wetware/ middle ware. The AGI is a closed system; it can only experience its world/ environment through its own senses, stereo cameras, microphones etc.  

I have all the bits figured out and working individually, just started to combine them into a coherent system…  also building a sensory/ motorised torso (In my other spare time lol) for it to reside in, and experience the world as it understands it.

I chose the visual cortex as a starting point, jump in at the deep end and sink or swim. I knew that most of the human cortex comprises of repeated cortical columns, very similar in appearance so if I could figure out the visual cortex I’d have a good starting point for the rest.

The required result and actual mammal visual cortex map.


This is real time development of a mammal like visual cortex map generated from a random neuron sheet using my neuron/ connectome design.

Over the years I have refined my connectome design, I know have one single system that can recognise verbal/ written speech, recognise objects/ faces and learn at extremely accelerated rates (compared to us anyway).


Recognising written words, notice the system can still read the words even when jumbled. This is because its recognising the individual letters as well as the whole word.


Same network recognising objects.


And automatically mapping speech phonemes from the audio data streams, the overlaid colours show areas sensitive to each frequency.


The system is self learning and automatically categorizes data depending on its physical properties.  These are attention columns, naturally forming from the information coming from several other cortex areas; they represent similarity in the data streams.


I’ve done some work on emotions but this is still very much work in progress and extremely unpredictable.


Most of the above vids show small areas of cortex doing specific jobs, this is a view of whole ‘brain’.  This is a ‘young’ starting connectome.  Through experience, neurogenesis and sleep neurons and synapse are added to areas requiring higher densities for better pattern matching, etc.


Resting frontal cortex - The machine is ‘sleeping’ but the high level networks driven by circadian rhythms are generating patterns throughout the whole cortex.  These patterns consist of fragments of knowledge and experiences as remembered by the system through its own senses.  Each pixel = one neuron.


And just for kicks a fly through of a connectome. The editor allows me to move through the system to trace and edit neuron/ synapse properties in real time... and its fun.

Phew! Ok that gives a very rough history of progress. There are a few more vids on my Youtube pages.

Edit: Oh yeah my definition of consciousness.

The beauty is that the emergent connectome defines both the structural hardware and the software.  The brain is more like a clockwork watch or a Babbage engine than a modern computer.  The design of a cog defines its functionality.  Data is not passed around within a watch, there is no software; but complex calculations are still achieved.  Each module does a specific job, and only when working as a whole can the full and correct function be realised. (Clockwork Intelligence: Korrelan 1998)

In my AGI model experiences and knowledge are broken down into their base constituent facets and stored in specific areas of cortex self organised by their properties. As the cortex learns and develops there is usually just one small area of cortex that will respond/ recognise one facet of the current experience frame.  Areas of cortex arise covering complex concepts at various resolutions and eventually all elements of experiences are covered by specific areas, similar to the alphabet encoding all words with just 26 letters.  It’s the recombining of these millions of areas that produce/ recognise an experience or knowledge.

Through experience areas arise that even encode/ include the temporal aspects of an experience, just because a temporal element was present in the experience as well as the order sequence the temporal elements where received in.

Low level low frequency circadian rhythm networks govern the overall activity (top down) like the conductor of an orchestra.  Mid range frequency networks supply attention points/ areas where common parts of patterns clash on the cortex surface. These attention areas are basically the culmination of the system recognising similar temporal sequences in the incoming/ internal data streams or in its frames of ‘thought’, at the simplest level they help guide the overall ‘mental’ pattern (sub conscious); at the highest level they force the machine to focus on a particular salient ‘thought’.

So everything coming into the system is mapped and learned by both the physical and temporal aspects of the experience.  As you can imagine there is no limit to the possible number of combinations that can form from the areas representing learned facets.

I have a schema for prediction in place so the system recognises ‘thought’ frames and then predicts which frame should come next according to what it’s experienced in the past.  

I think consciousness is the overall ‘thought’ pattern phasing from one state of situation awareness to the next, guided by both the overall internal ‘personality’ pattern or ‘state of mind’ and the incoming sensory streams.  

I’ll use this thread to post new videos and progress reports as I slowly bring the system together.  

487 Comments | Started June 18, 2016, 10:11:04 pm


XKCD Comic : Westerns in XKCD Comic

20 May 2019, 5:00 am

Sitting here idly trying to figure out how the population of the Old West in the late 1800s compares to the number of Red Dead Redemption 2 players.

Source: xkcd.com

1 Comment | Started May 20, 2019, 12:00:01 pm


Internalized Marionette style legs in General Hardware Talk

This looks like the easiest way to get your muscles done,    Its a simple attachment of "ropes" to a hollow inside, and you need elastic/bellows/bags to allow for the translation to rotation that's going to happen.

2 Comments | Started May 19, 2019, 02:30:22 pm


beyond omega level coding in General AI Discussion

NOW ! I summon to the field my monster NecroBump !
its special ability activates : revives D thread !!!

but wait there is more !

flip ! I activate my trap card : delayed hero signal :


I activate my spell card : swords of revealing light.

kek, it is on the way

16 Comments | Started May 17, 2019, 04:35:47 pm


Video on the History and Current state of Automation in Video


1 Comment | Started May 19, 2019, 12:55:09 pm


Running your robots on compressed air in General Hardware Talk

Imagine if in the design on the robots of some company,  in all their models there is always a thick full casted spherical container inside, where the robot stores its compressed air.  So it has a fat belly or a big rib cage,  and its a prominent member in the final look of the bot.

To get this up and running, takes a very scary process, of lots of explosion tests, to make sure its safe in the end.   Who wants to put themselves through this much punishment?!?!?  Desperate measures.  And even durability tests, must be done over and over, and because air contains condensation, you have to make sure the "battery's" water draining system is always going to work 100% of the time...  but air can contain all sorts of molecules that are being compressed inside.   So there is no material that's safe really for too long in operation, unless u make it out of inert glass,  but it has a horrific effect if it ever shattered.

So the tests have to be extensive, and the better you are at mathematical models the more time you can save, because the maths can predict the outcome.

And once you have your finished design, Its only hoping that you haven't missed something that can cause a horrifying ~10k psi explosion! even possibly way down the track,   which is deadly.

Looking up air compressors on the internet, is not for children to do,  is horrific and very depressing looking at the accidents.

I think that using electric batteries is safer,  but the advantage of compressed air,  is the machine is easier to make from scratch,  and doesn't require special materials/substances,   so it reduces a lot of needed supply for your manufacturing plant...  so even how dangerous it is,  maybe you still think its worthwhile.

Seems like it could possibly be part of a gritty and nasty sci-fi script.

8 Comments | Started May 17, 2019, 02:54:43 pm


XKCD Comic : A/B in XKCD Comic

17 May 2019, 5:00 am

We wrote our site in Linear A rather than Aksara Kawi because browser testing showed that Crete script rendered faster than Java script.

Source: xkcd.com

Started May 18, 2019, 12:02:10 pm
Metal Gear Series - Metal Gear RAY

Metal Gear Series - Metal Gear RAY in Robots in Games

Metal Gear RAY is an anti-Metal Gear introduced in Metal Gear Solid 2: Sons of Liberty. This Metal Gear model comes in two variants: a manned prototype version developed to combat Metal Gear derivatives and an unmanned, computer-controlled version.

Metal Gear RAY differs from previous Metal Gear models in that it is not a nuclear launch platform, but instead a weapon of conventional warfare, originally designed by the U.S. Marines to hunt down and destroy the many Metal Gear derivatives that became common after Metal Gear REX's plans leaked following the events of Shadow Moses.

Apr 08, 2019, 17:35:36 pm
Fallout 3 - Liberty Prime

Fallout 3 - Liberty Prime in Robots in Games

Liberty Prime is a giant, military robot, that appears in the Fallout games. Liberty Prime fires dual, head-mounted energy beams, which are similar to shots fired from a Tesla cannon.

He first appears in Fallout 3 and also it's add-on Broken Steel. Then again in Fallout 4 and later in 2017 in Fallout: The Board Game.

Apr 07, 2019, 15:20:23 pm
Building Chatbots with Python

Building Chatbots with Python in Books

Build your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital information on their architecture. You will then dive straight into natural language processing with the natural language toolkit (NLTK) for building a custom language processing platform for your chatbot. With this foundation, you will take a look at different natural language processing techniques so that you can choose the right one for you.

Apr 06, 2019, 20:34:29 pm
Voicebot and Chatbot Design

Voicebot and Chatbot Design in Books

Flexible conversational interfaces with Amazon Alexa, Google Home, and Facebook Messenger.

We are entering the age of conversational interfaces, where we will interact with AI bots using chat and voice. But how do we create a good conversation? How do we design and build voicebots and chatbots that can carry successful conversations in in the real world?

In this book, Rachel Batish introduces us to the world of conversational applications, bots and AI. You’ll discover how - with little technical knowledge - you can build successful and meaningful conversational UIs. You’ll find detailed guidance on how to build and deploy bots on the leading conversational platforms, including Amazon Alexa, Google Home, and Facebook Messenger.

Apr 05, 2019, 15:43:30 pm
Build Better Chatbots

Build Better Chatbots in Books

A Complete Guide to Getting Started with Chatbots.

Learn best practices for building bots by focusing on the technological implementation and UX in this practical book. You will cover key topics such as setting up a development environment for creating chatbots for multiple channels (Facebook Messenger, Skype, and KiK); building a chatbot (design to implementation); integrating to IFTT (If This Then That) and IoT (Internet of Things); carrying out analytics and metrics for chatbots; and most importantly monetizing models and business sense for chatbots.

Build Better Chatbots is easy to follow with code snippets provided in the book and complete code open sourced and available to download.

Apr 04, 2019, 15:21:57 pm
Chatbots and Conversational UI Development

Chatbots and Conversational UI Development in Books

Conversation as an interface is the best way for machines to interact with us using the universally accepted human tool that is language. Chatbots and voice user interfaces are two flavors of conversational UIs. Chatbots are real-time, data-driven answer engines that talk in natural language and are context-aware. Voice user interfaces are driven by voice and can understand and respond to users using speech. This book covers both types of conversational UIs by leveraging APIs from multiple platforms. We'll take a project-based approach to understand how these UIs are built and the best use cases for deploying them.

Build over 8 chatbots and conversational user interfaces with leading tools such as Chatfuel, Dialogflow, Microsoft Bot Framework, Twilio, Alexa Skills, and Google Actions and deploying them on channels like Facebook Messenger, Amazon Alexa and Google Home.

Apr 03, 2019, 22:30:30 pm
Human + Machine: Reimagining Work in the Age of AI

Human + Machine: Reimagining Work in the Age of AI in Books

Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?

Apr 02, 2019, 17:19:14 pm
Metal Arms: Glitch In The System - Glitch

Metal Arms: Glitch In The System - Glitch in Robots in Games

Metal Arms: Glitch in the System is a third-person shooter action-adventure video game, developed by American team Swingin' Ape Studios and released in 2003. The game follows a robot named Glitch as he joins forces with the Droids in their fight against General Corrosive and his Milbots.

Apr 01, 2019, 21:17:33 pm
10 of the Most Innovative Chatbots on the Web

10 of the Most Innovative Chatbots on the Web in Articles

Love them or hate them, chatbots are here to stay. Chatbots have become extraordinarily popular in recent years largely due to dramatic advancements in machine learning and other underlying technologies such as natural language processing. Today’s chatbots are smarter, more responsive, and more useful – and we’re likely to see even more of them in the coming years.

Mar 31, 2019, 00:32:28 am
Borderlands - Claptrap

Borderlands - Claptrap in Robots in Games

Borderlands is a series of action role-playing first-person shooter video games in a space western science fantasy setting, created by Gearbox Software and published by 2K Games for multiple platforms.

Several characters appear in multiple Borderlands games. The little yellow robot Claptrap (voiced by David Eddings), the de facto mascot for the franchise, has appeared in all games as a non-player character (NPC) and in the Pre-Sequel as a playable character.

Mar 30, 2019, 13:14:58 pm
Slave Zero - Slave Zero

Slave Zero - Slave Zero in Robots in Games

Taking place 500 years in the future, the game tells the story of Lu Chen, a sinister world overlord more commonly known as the SovKhan, who rules the Earth from a massive complex called Megacity S1-9.

The game follows "Slave Zero" as he wages war against the SovKhan's forces throughout every part of Megacity S1-9.

First released on the Dreamcast console.

Mar 29, 2019, 12:17:05 pm