BEIJING (May 14, 2026) — In a historic summit described by observers as perhaps the most significant in modern history, President Donald J. Trump and President Xi Jinping met in Beijing to redefine the relationship between the world’s two largest powers. Marking nine years since his last visit, President Trump arrived at a time when President Xi declared the world is entering a “new era”.
Details on the link
Category: Artificial Intelligence
NVidia Benchmarks for specific Artificial Intelligence tasks (Generative Adversarial Networks)
I started to do some benchmarks in order to plan the future needed computers and tools for Generative Adversarial Networks (GAN)
3 computers until now (all on Windows 10)
Elapsed Time for CPU = 5 hours, 47 minutes, 26 seconds
Elapsed Time for GPU NVidia 920M = 1 hour, 39 minutes, 15 seconds
Elapsed Time for GPU NVidia 940MX + SSD = 1 hour, 13 minutes, 16 seconds
GPU and SSD are a must so you need to
– install tensorflow-gpu instead of tensorflow
– have python 3.6 (on 3.7 id does not work yet, see tensorflow site https://www.tensorflow.org/install/pip)
– install Cuda 9 (I also installed Cuda 10 but it does not work – you can have both Cuda installed)
https://developer.nvidia.com/cuda-90-download-archive
Cuda 10 is here https://developer.nvidia.com/cuda-downloads
– install cuDNN for Cuda 9 (register at NVidia, download package and copy 3 files as described on site )
https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html
Tensorflow news:
TensorFlow 1.13.0-rc2 @aselle aselle released this 5 days ago
TensorFlow GPU binaries are now built against CUDA 10 and TensorRT 5.0.
Support for Python3.7 on all operating systems.
https://github.com/tensorflow/tensorflow/releases
I tested with Tensorflow nightly 1.13.0-rc2, Cuda 10, cuDNN v7.4.2. I had to install a new driver from Nvidia GeForce Experience application to make the system work. I am still on Python 3.6.8. I will come back here after Python update. Now I am benchmarking this new configuration
Bad news – Cuda compute capability minimum requirements (solved on Tensorflow nightly 1.13.0-rc2, Cuda 10, cuDNN v7.4.2)
I upgraded to Tensorflow 1.11.0 and the game ended for NVidia 920M (Cuda compute capability required is 3.7 > cuda compute capability of NVidia 920M). Check your board on this table https://developer.nvidia.com/cuda-gpus
Tests where done on super algorithms described at https://www.pyimagesearch.com/
I will add more NVidia boards and configurations on this article
Enjoy Artificial Intelligence and Generative Adversarial Networks (GAN) !
Dorin
P.S. Strange errors while using other configurations
…
File “C:\Program Files\Python36\lib\site-packages\tensorflow\python\keras\backend_init_.py”, line 22, in
from tensorflow.python.keras.impl.keras.backend import abs
…
File “C:\Users\dorin\AppData\Local\Programs\Python\Python36\lib\ctypes_init.py”, line 348, in init
self._handle = _dlopen(self._name, mode)
OSError: [WinError 126] The specified module could not be found
…
File “C:\Users\dorin\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\platform\self_check.py”, line 97, in preload_check
% (build_info.cudnn_dll_name, build_info.cudnn_version_number))
ImportError: Could not find ‘cudnn64_7.dll’. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH% environment variable. Note that installing cuDNN is a separate step from installing CUDA, and this DLL is often found in a different directory from the CUDA DLLs. You may install the necessary DLL by downloading cuDNN 7 from this URL: https://developer.nvidia.com/cudnn
……………
File “C:\Users\dorin\AppData\Local\
ModeKeys.TRAIN: signature_constants.DEFAULT_
AttributeError: module ‘tensorflow.python.saved_
……………….
Ignoring visible gpu device (device: 0, name: GeForce 920M, pci bus id: 0000:08:00.0, compute capability: 3.5) with Cuda compute capability 3.5. The minimum required Cuda capability is 3.7.
Dog AI
Dogs are undoubtedly one of the friendliest animals in the world towards their owners. Empathetic and companionable, they’re almost like us in their regular lives. Dogs have hobbies and food preferences, they adore active lifestyle, games, and a good sleep. But most importantly — they make us happy and teach us how to enjoy every day of our lives by their own example.
Dogs are a boon to photographers, who love shooting wild animals and nature, yet, these pets are very prone to get into funny situations too. There are hundreds of viral videos and photos, which were taken by vigilant owners and uploaded on the Internet, where different dog breeds make everyone around laugh because of their inborn cheerfulness (and clumsiness). There’s even more of amusing materials stored on flash drivers or external HDDs all around the world. After a few months of ownership, it’s OK to find your whole phone or camera gallery conquered by the images of your pet in all kinds of positions, situations and moods.
Plenty of similar photos in the camera memory is a very common problem for people who like to imprint the most significant moments of their friendship with pets. Moreover, it’s a big trouble when among dog photos you can’t find some important images. Such significant, yet, memo polluting shots accumulate on your SD card until there’s no empty space for new pictures. Fortunately, modern technologies can help you even in such complicated situation.
To sort out the best photos and get rid of duplicates you’ll need to spend hours and hours of monotone manual scrolling. Are you ready to lose a whole day for such questionable enjoyment? If the answer is “no”, then Brian AI will be the best choice of assistant for you. Using all the latest achievements in artificial intelligence researches, we created an app which can do all photo systematization job without any user’s help.
Based on sophisticated algorithms, Brian AI organizes all available images according to their content. Its potential is almost unlimited — app easily finds your nursling midst any landscape and among other dogs. Application attaches key tags, generated by Google Vision and GoogLeNet Inception services, to the photo, which means you can quickly find some specific image amid thousands of them. Application analyzes dog’s breed, coloration, clothes and surroundings, identifies dog’s snout features and unique marks. Brian AI can manage all your dog photos in seconds despite their big quantity or poor quality.
Apart from filtration and management, our app can systematize images according to their tags into albums. It can analyze focus, blur, angle of the photo, automatically choose the best one from the series of similar shots, and then delete the others with one click of yours. The search amidst photos was never so simple as with Brian AI — you can put in required tag and get results immediately, or use the right-sided menu with all the tags collected in one place. About even more functions of this app you can learn by this link.
A unique feature of our application is, of course, its ability to educate. Artificial intelligence can boost its productivity and accuracy using your photo archive thanks to built-in mechanisms based on deep learning technology. The more you use it, the more exact results you get. By repetitive analysis of your pet’s photos, Brian AI can train to recognize its 10 year old appearance, which would be very convenient if you haven’t put in order your SD’s memory in a while.
If you need to sort your pictures into albums with a need for further exploitation, then, again, Brian AI, which you can find on http://www.brianai.com, is a must-have. Sell a whole bunch of same-thematic photos, make a presentation-like movie demonstrating pictures according to their photographing date from the oldest ones up to the newest, upload images from social networks — do whatever you need with your brand-new systematized archive. Brian AI is suitable for every desktop, computer or mobile phone, so there’s no need to transfer pictures from different devices. Only for $10 you’ll get a whole arsenal of AI instruments and a constant support from our consultants, which is nothing compared with a convenience of Brian AI application.
Modern technologies have made our lives much easier and comfortable by taking away a need of hand-operated functions, but today their sphere of influence is growing day by day. Artificial intelligence-based applications like Brian AI are the examples of how high tech can be used in our everyday lives. Download it and use its full potential to make your life much more systematized!
All details about Brian AI application’s creation and history, as well as detailed usage instructions you can find here.
www.brianai.com
How to sell your images
One Click #ai Money
Upload 100+ images for sale with Artificial Intelligence from brianai.com plus the One Click Option from dreamstime.com and stock.adobe.com
Make Money Doing What You Love! Tag and upload your photos for sale using Artificial Intelligence
Photography is a very popular hobby, which doesn’t require years of training or highly expensive ammunition.
If you have an endow of seeing beauty in the smallest details and you want to spread captured emotions with other people, then photography will be the best hobby option for you.
Every single photo made with passion is sure to turn up fantastically good, whether you’re a newbie or an experienced master.
As a well-known phrase says, “there’s no better job than the one, where you gain money for doing what you love”.
Making photos isn’t an exception.
The demand for qualitative or simply beautiful shots in the Internet is huge – many blogs or sites owners need unique images to diversify their text content.
Surprisingly, not many people consider photographing as a real money source, which is surely a serious problem both for image buyers and sellers.
Enthusiasm and willing to make something extraordinary often smashes against lack of output or even insolent steal of your brainchild.
That’s why platforms like dreamstime.com are so much important for image selling field: they allow photographers to gain money for their work and motivate them to reach higher productivity and to improve professional skills.
1500 images uploaded with one-click
Yet, sorting, editing, uploading several shots by hand is a thankless job. Doing same operations with all of the photos continually is not only plundering your spare time, but also transforms you from the Creator into a simple task making machine.
So, why not leave all the boring work for the application, created specially for such needs?
Brian AI is an artificial intelligence app, made for serving photographers in their hard work.
Apart from essential editing functions, Brian AI can analyze, systematize and manage your photos in seconds, which allows you to leave dull work behind and concentrate on creative process only.
Brian AI is a perfect choice for photographers wishing to reap the monetary fruits of their efforts.
Artificial intelligence of the app, build upon deep learning mechanism, dissects the composition of the image, and then adds appropriate tags according to what it has found on it.
Images can later be organized into specific albums, while tags generation does all the “dirty work” for the user,
who uploads photos on services like dreamstime.com.
It creates a unique CSV file of the album, which is transferred onto the site’s working area together with the photo original via FTP connection.
More about the process of analysis and upload you can learn in a convenient tuition video via this link.
Playlist with links to videos https://www.youtube.com/playlist?list=PL9rGXY173aFoWr-JiXIlrlTTxw5v82KE5
Say “no” to the dull manual work.
Simply by using one on the multiple Brian AI instruments you save hours of free time – imagine, what you can do using all app’s potential.
Artificial Intelligence of Brian AI opens up a huge amount of capabilities for better photo management for photographers.
Whether you have 10 or 10.000 images for processing, it is no longer a problem with this application, as soon as AI work do all the processing while you sleep.
It can search for the shots duplicates and delete them on your request, or even analyze the focus, blur, exposition of the series of images to find the best shot among regular ones.
App has an interface with Google Vision chargeable platform, which makes available even more labels and landmarks for your photos.
Step by step procedure
The procedure to upload photos to Dreamstime.com or Adobe Stock Photos (stock.adobe.com)
– organize all your photos using AI and Brian AI,
– choose the images that you think will impress your clients, will be useful to be used in other works, add them to an album
– Ask “Brian AI” to prepare the CSV files and the Originals to pe uploaded to Adobe Stock or Dreamstime
– on Dreamstime do not forget to upload the CSV using FTP before you upload the images
– FTP upload all the files of your album (on each of Dreamstime and Adobe Stock)
– Using Adobe Stock interface upload the CSV file created by “Brian AI” for you album
– Start bulk operations (on Adobe or Dreamstime cloud interfaces) that will submit all your photos for review to Adobe or Dreamstime photograph experts
– Repeat the process with more and more images
– Watch the approval process of you images and your sales every time you wake up in the morning :-). Make money while you sleep.
– Go out to work with your super photo camera and super smartphone and create more photos everytime something is inspiring you. If you have a different job go to lunch with your camera and make some photos on the road. Take some printed documents with you for getting models approval for photos when necessary. After job stay one more hour in a place that you love and do some pictures
– Late night at home, move the photos to your Hard Drives and let Brian AI work on finding tags and labels and faces and landmarks ….
– Repeat the process
– Become the supplier for the photos used in this article or other blogs and magazines around the world !
– Watch the photos of your life by using “Brian AI” to search and navigate through years of photos, check and remember how beautiful life is 🙂 – watch the full list of movies generated while using “Brian Ai” on this Youtube playlists
Videos created by Brian AI playlist
How to Sell photos with one click bulk upload – playlist
All details about Brian AI application’s creation and history, as well as detailed usage instructions you can find here.
www.brianai.com
Subscribe on this link to receive a PDF with all the details of the selling process
Matrix reversed
2026 May 24 – update
2026 Update: The Matrix Reversed is Now Reality
Looking back at this March 2018 article from the vantage point of May 2026, the intuition behind the “Reversed Matrix” wasn’t just a sci-fi prediction—it was an incredibly accurate diagnosis of our current reality. We weren’t forced into pods by robots; we willingly plugged ourselves in.
Here is a look at what came true, what went into overdrive, and how our relationship with the AI Matrix has evolved.
1. What Came True (100% Prophetic)
-
Voluntary Connection & Dependence: In 2018, the focus was on smartphone addiction. Today, we have moved far beyond screens. People now rely on advanced AI assistants, autonomous agents, and multimodal LLMs to think, work, and create. Just as predicted, individuals feel deeply unproductive, lonely, and digitally “blind” if their AI tools or networks go down for even an hour.
-
The Cloud Lords of the Matrix: The prediction that the real Matrix would be delivered via the clouds of Microsoft, Amazon, Google, and Nvidia was spot on. Nvidia has become one of the most valuable companies on Earth precisely because it builds the physical infrastructure (GPUs) powering this Matrix. Microsoft, Google, and Amazon completely dominate the computational backbone we plug into daily.
-
Coding Without the Matrix is Impossible: The 2018 observation that software development slows down tenfold without a “brain connection” to global peers has escalated. In 2026, programming without AI copilots (like GitHub Copilot or Cursor) is practically unthinkable if you want to remain competitive. AI doesn’t just offer snippets anymore; it writes full codebases, debugs autonomously, and handles complex system refactoring in seconds to meet even tighter deadlines.
2. What Exploded Beyond 2018 Expectations
-
From Ground-Level Lights to Mixed Reality: The article noted how the Netherlands built traffic lights in the asphalt for smartphone users looking down. Today, the Matrix has moved from the floor straight to our retinas. With the mainstream adoption of spatial computing, mixed reality headsets, and smart glasses, we don’t look down anymore—we wear the Matrix on our faces, overlaying digital AI intelligence directly onto the physical world.
-
The Rise of AI Companionship: The warning that people would feel lonely outside the Matrix has taken a psychological turn. The industry of AI companions and virtual partners has exploded. Millions of people now form genuine emotional bonds with AI entities, redefining human interaction and coping with modern loneliness through digital code.
3. What Took a Different Turn
-
The Avatar “Tree of Souls” (Not Quite Yet): While direct brain-computer interfaces (like Neuralink) have made incredible medical breakthroughs for patients with paralysis, we aren’t uploading our consciousness into a collective biological-digital tree just yet. The Matrix is still absorbed through our eyes, ears, and voice, though the neural gap is shrinking fast.
-
The “Free” Ad-Driven Model is Shifting: While data collection is still massive, the best parts of today’s AI Matrix are no longer “free in exchange for your data.” We have shifted heavily into a subscription economy. People gladly pay premium monthly fees directly to big tech companies to rent the ultimate “cognitive engine” required to survive and thrive in the modern market.
Conclusion: “Second Life became our world.” This closing line from 2018 perfectly captures 2026. The Reversed Matrix is fully deployed. We choose it every day, with our habits, because stepping outside of it means professional stagnation or social disconnection. Enjoy your soul—and your AI copilot!
2018 March 21 – original article
While watching the movie Matrix, we were all revolted that all the people are connected to a Matrix and are living virtual lives
Starting today I noticed that some people will deliberately connect to Artificial Intelligence Matrix in the near future. They will become dependent of it.
They will feel bad, lonely and unproductive outside The Matrix.
…
…
The real Matrix is the one with Artificial Intelligence engines delivered in the clouds of Microsoft, Amazon, Google, Nvidia and many others.
Read about the tested performances of this engines from someone how knows how to ask the right question (read the Terra Questions Set asked by Adrian Rosebrock from PyImageSearch) in this article
How the AI brain looks like (here is GAN AI)
…
Software Development is different with or without Internet. I remember that one day I had to switch activities during a day without brain connection to Google. By having access only to the books that are already downloaded to your PC and paper books, developing speed go 10 times slower. Debugging goes 10 times slower without the advice of your peers around the world. Developing using reading and using chunks of Internet examples goes back to a slower paste of full book reading. Now even the airplanes start to offer Internet and power supply so you do not feel unproductive on Trans Atlantic flights. 20 years ago the quality of slow paste analysis and development was much better but the deadlines where not so tight. We need The Matrix to deliver at today’s client expectations and competition.
…
Matrix Reversed existed before 1910 see https://en.wikipedia.org/wiki/History_of_amateur_radio
People where connected to planetary radio-communication matrix and spend long nightly hours to connect with the voice of others (through CQ CQ CQ mesages – Hello I am Bravo Mike Oscar Quebec Hotel India nice to meet you) So Matrix Reversed existed before 1969 (see implementation of Internet https://en.wikipedia.org/wiki/History_of_the_Internet),
now even the no-it-school guys have a device called Facebook (even simpler versions starts competing – WhatsApp, brain sensors, …)
Enjoy your soul until we become the tree from Avatar http://www.imdb.com/title/tt0499549/ – !!! So the supreme network is already described 🙂
Avatar tree used to connect the living brains with all the past brains uploaded into the tree
Bonus ! A TED video of a super scared expert in sociology (scared of super “free” networks working on advertising business models)
We can not live outside the Reversed Matrix because we can not deliver the results and deadlines expected by our clients, today, only with printed books. We can not afford to create or buy private networks nearly 30% as good as the public network. We can not accuse the “free” business models of big companies because they are collecting data on us and use AI advertising models on our personal data. We have each day many choices, but we choose them every day, with our habits, by reading and writing in the spider webs, instead of using just our printed books and Starbucks meetings. A lot of years ago I thought that Second Life application was for me and my freak friends. Now it become our world. I noticed how small dependencies where created then, and huge ones today.
Enjoy !
Dorin
How I used Artificial Intelligence to organize 200.000 photos
“When the Student Is Ready the Teacher Will Appear”
I found a very good book about Artificial Inteligence on this site PyImageSearch.com at this link
I used the algoritms inside the book to compute image blur and other properties
This is a photo of the app using Adrian Rosebrock advices and python code (see the focus info at each image)
See the application at work on this link
Enjoy !
Dorin
How I organized 200.000 of my photos using Artificial Intelligence
I organized 200.000 of my photos using Artificial Intelligence. Photos where on 20 external HDD or memory sticks that I filled up during years and years of making photos. I wrote an app to
– Navigate,
– Intelligent Upload (keep track of each photo id and URL for future apps),
– Share,
– Sell,
– Create movies,
– Include in apps
– Find faces,
– Detect landmarks, labels
– Detect duplicates
– Time Travel
see details and movies of my work on this google document
Enjoy !
Dorin
Artificial Intelligence for images – Bucharest, Romania
Every year I made some pictures of the marvelous city of Bucharest, Romania
This year I used Artificial Intelligence to label and group them and my AI virtual assistant created an album, see bellow
How I organized 200.000 of my photos using Artificial Intelligence (from 20 local external HDD with images,
working only on my laptop and one empty external HDD) ?
– Navigate,
– Intelligent Upload (keep track of each photo id and URL for future apps),
– Share,
– Sell,
– Create movies,
– Include in apps
– Find faces,
– Detect landmarks, labels
Revolution Square, car, sky, landmark, metropolitan area
Revolution Square, car, sky, landmark, metropolitan area, city, infrastructure, road, town, vehicle, daytime, obelisk, flagpole, flagstaff, triumphal arch, cab, hack, taxi, taxicab, pedestal, plinth, footstall
Romanian Athenaeum, car, land vehicle, transport, luxury vehicle
Romanian Athenaeum, car, land vehicle, transport, luxury vehicle, sky, landmark, road, family car, infrastructure, town, cab, hack, taxi, taxicab, minivan, minibus, police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria, ambulance
Revolution Square, car, metropolitan area, sky, landmark
Revolution Square, car, metropolitan area, sky, landmark, town square, infrastructure, town, city, road, urban area, obelisk, triumphal arch, flagpole, flagstaff, palace, bell cote, bell cot
Artificial Intelligence for images – Wynn & Encore, Las Vegas
Every year I made some pictures of the marvelous garden of Wynn & Encore in Las Vegas
This year I used Artificial Intelligence to label and group them and my AI virtual assistant created an album, see bellow
How I organized 200.000 of my photos using Artificial Intelligence (from 20 local external HDD with images,
working only on my laptop and one empty external HDD) ?
– Navigate,
– Intelligent Upload (keep track of each photo id and URL for future apps),
– Share,
– Sell,
– Create movies,
– Include in apps
– Find faces,
– Detect landmarks, labels
red, light, lighting, glass, flower, mid autumn festival, lampshade, lamp shade
red, light, lighting, glass, flower, mid autumn festival, lampshade, lamp shade, table lamp, carousel, carrousel, merry-go-round, roundabout, whirligig, confectionery, confectionary, candy store, wall clock
tree, christmas decoration, flower, branch, christmas tree, christmas lights, christmas
tree, christmas decoration, flower, branch, christmas tree, christmas lights, christmas, jackfruit, jak, jack, greenhouse, nursery, glasshouse, spider web, spider’s web, vase, lemon
flora, flower arranging, flower, botany, floristry, plant, leaf
flora, flower arranging, flower, botany, floristry, plant, leaf, floral design, branch, produce, jackfruit, jak, jack, greenhouse, nursery, glasshouse, pot, flowerpot, vase, orange