Our partner

Thoughts from transgressing dimension
Here you can see some of my wild thoughts and you may find some good worldly ideas on here. I just love thinking and thought I should let my thinking be read.
User avatar
highdimensionman
Consumer 2
Consumer 2
 
Posts: 55
Joined: Tue Jul 08, 2014 5:38 pm
Blog: View Blog (1012)
Archives
- November 2022
+ September 2022
+ August 2022
+ July 2022
+ June 2022
+ May 2022
+ April 2022
+ March 2022
+ February 2022
+ January 2022
+ December 2021
+ November 2021
+ October 2021
+ September 2021
+ August 2021
+ July 2021
+ June 2021
+ May 2021
+ April 2021
+ January 2021
+ December 2020
+ November 2020
+ October 2020
+ September 2020
+ August 2020
+ July 2020
+ June 2020
+ May 2020
+ April 2020
+ February 2020
+ November 2019
+ October 2019
+ September 2019
+ May 2018
+ April 2018
+ March 2018
+ February 2018
+ December 2017
+ August 2017
+ May 2017
+ April 2017
+ March 2017
+ February 2017
+ December 2016
+ November 2016
+ October 2016
+ September 2015
+ August 2015
+ April 2015
+ March 2015
+ February 2015
+ January 2015
+ December 2014
+ November 2014
+ September 2014
+ August 2014
Search Blogs

Feed
PreviousNext

Pi 500 making games and pi cloud.

Permanent Linkby highdimensionman on Sat Sep 24, 2022 4:51 pm

Making an animation or basic technical simulations you generate a simu script or prompt and craft on the picture AI then take your work to the internet content creator and produce a 600p output with even yourself upscaled and worked into scenes in a way you can upscale to 2k on the pi cloud service for a couple of credit. You get say 1200 credits for ten pounds and to upscale a video is 2 credits for a video less than 40 mins or 1 credit for a picture.
You have 2 trait creation tools for environment and character traits about 400gb library and that goes through to a interactive simu creator 600GB which once programmed and compiled about 4 weeks on a pi 500 or 35 credits on the cloud you have a gbt file as in game bot you can also generate simulation traits with the basic simulation animation or graphing generator simulation traits for the interactive simulation or game.
You can sell for upto 80 credits your games provided they comply to good guide lines.
You could make a YourTube which could offer you 8 videos on the front page and when you prompt it offer you 4 more heavily reduced videos and library dynamic not replacing real people instead gfaces and many other reductions. Over night you can also upgrade the videos you like the bot trys to give you good results learning from you. The sound being a hyper midi file you can extract and edit it in the internet content creation suit.
It can teach you all sorts of things offer you good less real human competitive music and even inform you identifying an information source.
Alternatively to cloud you can also achieve good results with a pi cluster.

0 Comments Viewed 3288 times

Pi 500 app ideas.

Permanent Linkby highdimensionman on Sat Sep 24, 2022 2:53 pm

Simpipic bot.
Here the bot brain works in deterministic stages down a pipe of whole picture small detail additives working ok with only 8 GB of system ram. It adds particles to lower process demand also it works like a gif so 256 colours is only 180p and in smaller regions has a limit of 64 colours. You can get say 4 deterministic variations at once and see enough to know by 15 seconds and can cancel or switch and start a different variation. Once you have adapted and grown with the bot the picture you can project the still low Res picture forward into a animation scene. You have a buffer of 256 personal pictures you can add and use and add long strings of text to in order to influence say how the next scene first frame starts.
The Brian has been weaved with inferencing and dimensionally modified and accuracy modified for deterministic efficiency and worthy loss maintaining a good adequate output.
The bot enables much near per pixel modifications in a wider dynamic of options for fine tuning the image.
The brain is 16 GB the datatrait library is 80GB
It handles 128 note parameters in terms of prompts a user can edit to improve how the system functions relative to user requirements. It draws from 2048 super parameters which is deduced from 60,000 mid way parameters and these parameters are drawn from 256,000 high speed micro parameters. Each is a stage of the process as one big stage in a bigger process of analytic additive detail picture making.
The parameters use vector like code for technical detail referencing with language.

SimuPi
This bot is similar only you are working with two overall processes converging working with the data know Vs additive calculation.
You write a simu script and you can generate a reduced simulation with many reductions like the picture maker working with less colour and detail and a more mathematical and scientific range of data sets technical accuracy over picture dynamic will be key.
24GB brain
256GB data trait library.
Can take say 30 mins to generate some simulations.

Pi Diary bot.
Here you have a 48 GB weaver dataset and a starter egg 256GB dataset and library bundle. What you do is set upto 4096 parameters to set how you want your diary bot to behave and work with you. You get a personal diary that the bot can only make inputs with and a 6mb simple txt file that you and the bot share so you can correct the bot a bit and develop with the bot. The bot can help you with things you want to learn about as well all set when you build the bot.
The weaver bot weaves the egg over 4-5 days into something like a 32GB library and a 12GB brain working with determinism and variability better.

An internet content compiler and editor.
With 8 GB and the more power a pi 500 could have making internet content could be one evolving piece of software.

These 3 bots could be included with a large sized pi os download for high quality 1tb+ SD or SD express cards

If PI had such a feature set then it could temp more stuff over to arm which could help that side of the industry including the pi Foundation.

0 Comments Viewed 3610 times

1 AI to rule them all.

Permanent Linkby highdimensionman on Fri Sep 23, 2022 2:39 pm

Imagine if an effective weights and bias learning system was set up where by the AI grew and optimised as one big brain project and learned to produce near optimal data trait extraction and pattern dynamic additions as a data library and could infer from human parameters an efficient dataset brain for a task that can run as a bot on the bot browser or as an AI tool in a piece of software or a cloud service. Imagine if it could account for where best to use extra calculation and even one day more ways to gain helpful additional data.
So it generates a library and a brain that can be as deterministic or as varied as you like.
So many interest groups around the world could work on this one AI accounting for identity rights and ethics and because you are cutting out a lot of training you can generate bots at a rate of knots. Imagine a 200GB library and 48GB brain which works in stages meaning only upto 24GB would actually be needed at any point in the process for $15 that you set the parameters with AI assistance for 1 month by yourself and you did it without much technical expertise just personal specifics. Now you have a bot that jot's 5mb of it's own plain text notes which help in conversation which you can read or change that you are comfortable talking to who also inputs a diary report for you that needs your password and the bot does it without knowing the password just the input data key All personal like on their mini PC.

0 Comments Viewed 4047 times

5 years arm, mathematica, Adobe, unreal what could be.

Permanent Linkby highdimensionman on Thu Sep 22, 2022 10:29 pm

The system a mini itx ARM 220 GFLOPS, 10 tflops optical inferencing lowering energy demand, 2 tflops higher precision GPU, 32 GB ram, optical data busing lowering energy demand increasing efficiency, 4*2TB SD express RAID.

Game engine.
Advanced inferring from advanced particle form to a simplistic pre trained deterministic pixel pattern additive representation render utilising the GPU calc to perfect the outcome.
Then with pre-trained noise extending particalisation and further additive detail upscaling then de-noising to a complex further fractal point data to get to 1080p with full global illumination at a good response and frame rate.
Creating a game.
When creating a game you can pick your perspective create characters with all sorts of graphical magic and physics tricks. You can model with good control and ease a range of character physics abilities, any character or model scene or landscape you want you can tune the perspective train on new data and once built to a satisfaction on the mini pc it can all be bundled into the unreal cloud for cloud gaming with ease and tweaked up.
Picture and animations on arm
Using a top Photoshop arm edition I could then build pictures and animations from pretrained stages with dataset working through a stage pipe and pixel cell pattern additives and controlled upscaling in order to dictate an animation which can be upscaled and tweaked properly on Adobe cloud services. You do standard tricks like generate a background or improve a lossy sound track to a clear well balanced 24 bit flac.
Blogging, you can learn blogging prompt to a add a bit of interactive content to your blog along with videos animations,fully translated AI video blogs ect.
Mathematica could use this AI deterministic modeling for cloud questions and cloud calls on which a call pricing is determined by extra compute required and data functionality required. It could also enable interesting controlled variability technical models to be achieved just with the ARM unit.
By the time it's all in Wolfram I'd say an ARM mini PC will have 1/8 to a 1/4 of a terra byte RAM then with so much more functional range that will be nicely available on such a system and a few cloud calls and a bit of tweaking and other stuff on the cloud I would be able to do a lot of interesting math and philosophical art, even games.

0 Comments Viewed 3692 times

What to do with a next gen mini itx pc and 64 GB same chip gpucp

Permanent Linkby highdimensionman on Thu Sep 22, 2022 7:55 pm

Well if say your overall data mind is 100 GB.
50 GB of a brain trained to bring certainty from extracted data traits tied to lots of pixel cell pattern additions
256000 advanced text, vector reference and independent integers 1 - 256 parameters each cycle from the pre trained stages of the brains process. It does a picture of the sort you can recompile to a higher definition. So you can whip through and extend the picture with nice control over certainty and variability sacrificing a high degree of finer variability then when your picture is ready you can up scale and perfect it it on your or some other computer costing money and time some more.

0 Comments Viewed 3192 times

Who is online

Registered users: Bing [Bot], Google [Bot], Google Adsense [Bot], Google Feedfetcher, Majestic-12 [Bot], MichaelEnest