GET https://rct.dev.bbntimes.com/technology/what-s-wrong-with-today-s-artificial-intelligence-ai

Response
200 OK
IP
13.58.55.46
Profiled on
Token
6ecc9e

ArticleController :: show

Request

GET Parameters

None

POST Parameters

None

Uploaded Files

None

Request Attributes

Key Value
_controller 
"App\Controller\ArticleController::show"
_firewall_context 
"security.firewall.map.context.main"
_links 
Symfony\Component\WebLink\GenericLinkProvider {#3600
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      -attributes: [
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    3719 => Symfony\Component\WebLink\Link {#3719
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      -attributes: [
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    3718 => Symfony\Component\WebLink\Link {#3718
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      -rel: [
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      ]
      -attributes: [
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      ]
    }
    3717 => Symfony\Component\WebLink\Link {#3717
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      -attributes: [
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    3715 => Symfony\Component\WebLink\Link {#3715
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      -rel: [
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      ]
      -attributes: [
        "as" => "script"
      ]
    }
    3714 => Symfony\Component\WebLink\Link {#3714
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      -rel: [
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      ]
      -attributes: [
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      ]
    }
    3713 => Symfony\Component\WebLink\Link {#3713
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      -rel: [
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      ]
      -attributes: [
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      ]
    }
    3712 => Symfony\Component\WebLink\Link {#3712
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      -rel: [
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      ]
      -attributes: [
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      ]
    }
    3711 => Symfony\Component\WebLink\Link {#3711
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      -rel: [
        "preload" => "preload"
      ]
      -attributes: [
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      ]
    }
    3710 => Symfony\Component\WebLink\Link {#3710
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      -rel: [
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      -attributes: [
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    3709 => Symfony\Component\WebLink\Link {#3709
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      -rel: [
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      -attributes: [
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    }
    3708 => Symfony\Component\WebLink\Link {#3708
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      -rel: [
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      ]
      -attributes: [
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      ]
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}
_route 
"article_show"
_route_params 
[
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]
_security_firewall_run 
"_security_main"
_stopwatch_token 
"53ac6a"
category 
"technology"
slug 
"what-s-wrong-with-today-s-artificial-intelligence-ai"

Request Headers

Header Value
accept 
"*/*"
accept-encoding 
"gzip, br, zstd, deflate"
connection 
"close"
cookie 
"PHPSESSID=u1r0tke4q2k7ra8j820mccqvcu"
host 
"rct.dev.bbntimes.com"
user-agent 
"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)"
x-php-ob-level 
"1"

Request Content

Request content not available (it was retrieved as a resource).

Response

Response Headers

Header Value
cache-control 
"no-cache, private"
content-type 
"text/html; charset=UTF-8"
date 
"Wed, 16 Apr 2025 06:55:43 GMT"
link 
"</build/runtime.js>; rel="preload"; as="script",</build/644.js>; rel="preload"; as="script",</build/502.js>; rel="preload"; as="script",</build/app.js>; rel="preload"; as="script",</build/view-more.js>; rel="preload"; as="script",</build/term-condition.js>; rel="preload"; as="script",</build/contact.js>; rel="preload"; as="script",</build/scroll-infinite-article.js>; rel="preload"; as="script",</build/app.css>; rel="preload"; as="style",</build/cookie-style.css>; rel="preload"; as="style",</build/term-condition-css.css>; rel="preload"; as="style",</build/contact-css.css>; rel="preload"; as="style",</build/comment-css.css>; rel="preload"; as="style""
x-debug-token 
"6ecc9e"

Cookies

Request Cookies

Key Value
PHPSESSID 
"u1r0tke4q2k7ra8j820mccqvcu"

Response Cookies

No response cookies

Session 6

Session Metadata

Key Value
Created 
"Wed, 16 Apr 25 06:54:52 +0000"
Last used 
"Wed, 16 Apr 25 06:55:42 +0000"
Lifetime 
0

Session Attributes

Attribute Value
_csrf/https-comment 
"Gp-F9C1C5nWsptDe6_0cgLOvQPNA1dyrICqcoB2cQ0A"
_csrf/https-cookie_accept 
"R33vM-wg7We7ei5ZdkGTEibJPA4SblJY5hWOvRXyk1Y"

Session Usage

6 Usages
Stateless check enabled
Usage
Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:76
Show trace 
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:79
Show trace 
[
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:52
Show trace 
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:56
Show trace 
[
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    "function" => "run"
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    ]
    "function" => "require_once"
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]
Symfony\Component\Security\Core\Authentication\Token\Storage\UsageTrackingTokenStorage:41
Show trace 
[
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/security-core/Authentication/Token/Storage/UsageTrackingTokenStorage.php"
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    "function" => "getMetadataBag"
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    ]
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]
Symfony\Component\Security\Http\Firewall\ContextListener:171
Show trace 
[
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/security-http/Firewall/ContextListener.php"
    "line" => 171
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    "function" => "onKernelResponse"
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    "function" => "__invoke"
    "class" => "Symfony\Component\EventDispatcher\Debug\WrappedListener"
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Flashes

Flashes

No flash messages were created.

Server Parameters

Server Parameters

Defined in .env

Key Value
APP_ENV 
"dev"
APP_SECRET 
"0a988e63f011514eaabfc650b599af4d"
CORS_ALLOW_ORIGIN 
"*"
DATABASE_URL 
"mysql://bbndb_rctuser:33F5W25z40or0f7@localhost:3306/rct_bbntimes"
GOOGLE_RECAPTCHA_SECRET_KEY 
"6LdV5fgpAAAAANxzTG8ZMfIjil1wu-1vrQvnUt-x"
GOOGLE_RECAPTCHA_SITE_KEY 
"6LdV5fgpAAAAAENKcn73MJAhQrbtQeqgyC4wDLMP"
MAILER_DSN 
"smtp://no-reply%40rct.dev.bbntimes.com:Bl6%26gLD48%26Of919@rct.dev.bbntimes.com:465"
MARIADB_PASSWORD 
"i!87pK&!85ezc8"

Defined as regular env variables

Key Value
APP_DEBUG 
"1"
BASE 
"/public"
CONTEXT_DOCUMENT_ROOT 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com"
CONTEXT_PREFIX 
""
DOCUMENT_ROOT 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com"
FCGI_ROLE 
"RESPONDER"
GATEWAY_INTERFACE 
"CGI/1.1"
HTTPS 
"on"
HTTP_ACCEPT 
"*/*"
HTTP_ACCEPT_ENCODING 
"gzip, br, zstd, deflate"
HTTP_CONNECTION 
"close"
HTTP_COOKIE 
"PHPSESSID=u1r0tke4q2k7ra8j820mccqvcu"
HTTP_HOST 
"rct.dev.bbntimes.com"
HTTP_USER_AGENT 
"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)"
PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
PATH 
"/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin"
PHP_SELF 
"/public/index.php"
PP_CUSTOM_PHP_CGI_INDEX 
"plesk-php81-fastcgi"
PP_CUSTOM_PHP_INI 
"/var/www/vhosts/system/rct.dev.bbntimes.com/etc/php.ini"
QUERY_STRING 
""
REDIRECT_BASE 
"/public"
REDIRECT_HTTPS 
"on"
REDIRECT_PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_HTTPS 
"on"
REDIRECT_REDIRECT_PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_SCRIPT_URI 
"https://rct.dev.bbntimes.com/technology/what-s-wrong-with-today-s-artificial-intelligence-ai"
REDIRECT_REDIRECT_SCRIPT_URL 
"/technology/what-s-wrong-with-today-s-artificial-intelligence-ai"
REDIRECT_REDIRECT_SSL_TLS_SNI 
"rct.dev.bbntimes.com"
REDIRECT_REDIRECT_STATUS 
"200"
REDIRECT_REDIRECT_UNIQUE_ID 
"Z_9UbzMPOH5Hdsjt6vRj9QAAAA0"
REDIRECT_SCRIPT_URI 
"https://rct.dev.bbntimes.com/technology/what-s-wrong-with-today-s-artificial-intelligence-ai"
REDIRECT_SCRIPT_URL 
"/technology/what-s-wrong-with-today-s-artificial-intelligence-ai"
REDIRECT_SSL_TLS_SNI 
"rct.dev.bbntimes.com"
REDIRECT_STATUS 
"200"
REDIRECT_UNIQUE_ID 
"Z_9UbzMPOH5Hdsjt6vRj9QAAAA0"
REDIRECT_URL 
"/public/technology/what-s-wrong-with-today-s-artificial-intelligence-ai"
REMOTE_ADDR 
"13.58.55.46"
REMOTE_PORT 
"28668"
REQUEST_METHOD 
"GET"
REQUEST_SCHEME 
"https"
REQUEST_TIME 
1744786543
REQUEST_TIME_FLOAT 
1744786543.0536
REQUEST_URI 
"/technology/what-s-wrong-with-today-s-artificial-intelligence-ai"
SCRIPT_FILENAME 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/public/index.php"
SCRIPT_NAME 
"/public/index.php"
SCRIPT_URI 
"https://rct.dev.bbntimes.com/technology/what-s-wrong-with-today-s-artificial-intelligence-ai"
SCRIPT_URL 
"/technology/what-s-wrong-with-today-s-artificial-intelligence-ai"
SERVER_ADDR 
"5.196.1.209"
SERVER_ADMIN 
"[no address given]"
SERVER_NAME 
"rct.dev.bbntimes.com"
SERVER_PORT 
"443"
SERVER_PROTOCOL 
"HTTP/1.1"
SERVER_SIGNATURE 
"<address>Apache Server at rct.dev.bbntimes.com Port 443</address>\n"
SERVER_SOFTWARE 
"Apache"
SSL_TLS_SNI 
"rct.dev.bbntimes.com"
SYMFONY_DOTENV_VARS 
"APP_ENV,APP_SECRET,DATABASE_URL,MARIADB_PASSWORD,CORS_ALLOW_ORIGIN,MAILER_DSN,GOOGLE_RECAPTCHA_SECRET_KEY,GOOGLE_RECAPTCHA_SITE_KEY"
UNIQUE_ID 
"Z_9UbzMPOH5Hdsjt6vRj9QAAAA0"

Sub Requests 6

CookieController :: renderAnalysis (token = 766190)

Key Value
_controller 
"App\Controller\CookieController::renderAnalysis"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"8fb642"

AppController :: renderHeader (token = 0868f1)

Key Value
_controller 
"App\Controller\AppController::renderHeader"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"7da1d3"
slug 
"home"

ArticleController :: trendingArticle (token = 1103a5)

Key Value
_controller 
"App\Controller\ArticleController::trendingArticle"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"f5ba6b"
category 
"Technology"

ArticleController :: relatedArticles (token = 0f3594)

Key Value
_controller 
"App\Controller\ArticleController::relatedArticles"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"837ac8"
current_article 
App\Entity\Article {#1094
  -id: 8964
  -title: "What's Wrong With Today's Artificial Intelligence (AI)? "
  -slug: "what-s-wrong-with-today-s-artificial-intelligence-ai"
  -introtext: "<p><span style="color: #000000;">Today’s artificial intelligence (AI) is limited. It still has&nbsp;a long way to go.</span></p>\r\n"
  -content: """
    \r\n
    <p><span style="color: #000000;">Some AI researchers are getting an insight that machine learning algorithms, in which computers learn through trial and error,&nbsp;have become a form of "alchemy."</span></p>\r\n
    <p><img src="/images/AI.jpeg" alt="AI.jpeg" /></p>\r\n
    <p><a title="www.sciencemag.org" href="https://www.sciencemag.org/news/2018/05/ai-researchers-allege-machine-learning-alchemy" target="_blank" rel="noopener nofollow">AI researchers allege that machine learning is alchemy</a>&nbsp;</p>\r\n
    <p>In fact, it is largely about statistical inductive inference machines relying on big data computing, algorithmic innovations and statistical learning theory and connectionist philosophy.</p>\r\n
    <p>For most people it is merely building a machine learning (ML) model with an easy journey, going via data collection, curation, exploration, feature engineering, model training, evaluation, and finally, deployment.</p>\r\n
    <p><img src="/images/Data_Science_Hierarchy.jpg" alt="Data_Science_Hierarchy.jpg" /></p>\r\n
    <p><a title="medium.com" href="https://medium.com/swlh/eda-exploratory-data-analysis-e0f453d97894" target="_blank" rel="noopener nofollow">EDA: Exploratory Data Analysis</a></p>\r\n
    <p><img src="/images/Data_Science_AI_Lifecycle.png" alt="Data_Science_AI_Lifecycle.png" /></p>\r\n
    <p><a title="medium.com" href="https://medium.com/inside-machine-learning/ai-ops-managing-the-end-to-end-lifecycle-of-ai-3606a59591b0" target="_blank" rel="noopener nofollow">AI Ops\u{200A}—\u{200A}Managing the End-to-End Lifecycle of AI</a>&nbsp;</p>\r\n
    <p>Today's AI Alchemy is coming from "Machine Learning", which algorithms need to be configured and tuned for every different real-world scenario. This makes it very manually intensive and takes a huge amount of time from a human supervising its development. This manual process is also error-prone, not efficient, and difficult to manage. Not to mention the scarcity of expertise out there to be able to configure and tune different types of algorithms.</p>\r\n
    <p>The configuration, tuning, and model selection is increasingly automated, and all big-tech companies, such as Google, Microsoft, Amazon, IBM, are coming with the similar AutoML platforms, automating the Machine Learning model building process.</p>\r\n
    <p>AutoML involves automating the tasks that are required for building a predictive model based on machine learning algorithms. These tasks include data cleansing and preprocessing, feature engineering, feature selection, model selection, and hyperparameter tuning, which can be tedious to perform manually.</p>\r\n
    <p><img src="/images/SAS4485.png" alt="SAS4485.png" /></p>\r\n
    <p><a title="drive.google.com" href="https://drive.google.com/file/d/1FwYHEHoKO3YU1wKCjttE2i0qP0sa-oZO/view" target="_blank" rel="noopener nofollow">SAS4485-2020.pdf</a>&nbsp;</p>\r\n
    <p>And the end-to-end ML pipeline presented is consisting of 3 key stages, while missing the source of all data, the world itself:</p>\r\n
    <p><img src="/images/Expert_AI.png" alt="Expert_AI.png" /></p>\r\n
    <p><a title="medium.com" href="https://medium.com/thinkgradient/automated-machine-learning-an-overview-5a3595d5c4b5" target="_blank" rel="noopener nofollow">Automated Machine Learning\u{200A}—\u{200A}An Overview</a>&nbsp;</p>\r\n
    <p>The key secrecy of the Big-Tech AI alchemists is the Skin-Deep Machine Learning going as Dark Deep Neural Networks, which models demand training by a large set of labeled data and neural network architectures that contain as many layers as impossible.</p>\r\n
    <p>Each task needs its special network architecture:</p>\r\n
    <ol>\r\n
    <li>Artificial Neural Networks (ANN) for Regression and classification</li>\r\n
    <li>Convolutional Neural Networks(CNN) for Computer Vision</li>\r\n
    <li>Recurrent Neural Networks (RNN) for Time Series analysis</li>\r\n
    <li>Self-organizing maps for Feature extraction</li>\r\n
    <li>Deep Boltzmann machines for Recommendation systems</li>\r\n
    <li>Auto Encoders for Recommendation systems</li>\r\n
    </ol>\r\n
    <p>ANN was introduced as an information processing paradigm as if&nbsp;to be&nbsp;inspired by the way the biological nervous systems/brain process information. And such ANN is represented as “Universal Function Approximators”, which can learn/compute all sorts of activation functions.<br /><br /></p>\r\n
    <p><img src="/images/AI_Inputs.png" alt="AI_Inputs.png" /></p>\r\n
    <p><img src="/images/Feed_New_Data.gif" alt="Feed_New_Data.gif" width="487" height="365" /></p>\r\n
    <p>Neural networks compute/learn through a specific mechanism of backpropagation and error correction during the testing phase.</p>\r\n
    <p>Just imagine that by minimizing the error, these multi-layered systems are expected one day to learn and conceptualize ideas by themselves.</p>\r\n
    <p><a title="towardsdatascience.com" href="https://towardsdatascience.com/introduction-to-artificial-neural-networks-ann-1aea15775ef9" target="_blank" rel="noopener nofollow">Introduction to Artificial Neural Networks (ANN)</a>&nbsp;</p>\r\n
    <p>In all, a few lines of R or Python code will suffice for a piece of machine intelligence and there’s a plethora of resources and tutorials online to train your quasi-neural networks, like all sorts of deepfake networks, manipulating image-video-audio-text, with zero knowledge of the world, as Generative Adversarial Networks,&nbsp;BigGAN, CycleGAN, StyleGAN, GauGAN, Artbreeder, DeOldify, etc.</p>\r\n
    <p>They create and modify faces, landscapes, universal images, etc., with zero understanding what it is all about.</p>\r\n
    <p><img src="/images/AI_France.jpeg" alt="AI_France.jpeg" /></p>\r\n
    <p><img src="/images/Input_Output.jpeg" alt="Input_Output.jpeg" /></p>\r\n
    <p>&nbsp;</p>\r\n
    <p><img src="/images/Horse_Zebra.jpeg" alt="Horse_Zebra.jpeg" /></p>\r\n
    <p><img src="/images/Trump_AI.jpeg" alt="Trump_AI.jpeg" /></p>\r\n
    <p><a title="junyanz.github.io" href="https://junyanz.github.io/CycleGAN/" target="_blank" rel="noopener nofollow">Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks</a>&nbsp;</p>\r\n
    <p><a title="towardsdatascience.com" href="https://towardsdatascience.com/14-deep-learning-uses-that-blasted-me-away-2019-206a5271d98" target="_blank" rel="noopener nofollow">14 Deep and Machine Learning Uses That Made 2019 a New AI Age.</a>&nbsp;</p>\r\n
    <p>There is a myriad of digital alchemy tools and frameworks going in their own ways:</p>\r\n
    <ul>\r\n
    <li>Open languages — Python is the most popular, with R and Scala also in the mix.</li>\r\n
    <li>Open frameworks — Scikit-learn, XGBoost, TensorFlow, etc.</li>\r\n
    <li>Approaches and techniques — Classic ML techniques from regression all the way to state-of-the-art GANs and RL</li>\r\n
    <li>Productivity-enhancing capabilities — Visual modeling, AutoAI to help with feature engineering, algorithm selection and hyperparameter optimization</li>\r\n
    <li>Development tools — DataRobot, H2O, Watson Studio, Azure ML Studio, Sagemaker, Anaconda, etc.</li>\r\n
    </ul>\r\n
    <p>As a sad result, a Data Scientist’s working environment: scikit-learn, R, SparkML, Jupyter, R, Python, XGboost, Hadoop, Spark, TensorFlow, Keras, PyTorch, Docker, Plumbr, and the list goes on and on, is providing the whole "Fake AI Stack" for your alchemy of AI.</p>\r\n
    <p><img src="/images/AI_Stacks.jpeg" alt="AI_Stacks.jpeg" /></p>\r\n
    <p><a title="medium.com" href="https://medium.com/clouddon/modern-ai-stack-ai-service-consumption-models-f9957dce7b25" target="_blank" rel="noopener nofollow">Modern AI Stack &amp; AI as a Service Consumption Models</a></p>\r\n
    <p><img src="/images/Market_Segment.png" alt="Market_Segment.png" /></p>\r\n
    <p><a title="towardsdatascience.com" href="https://towardsdatascience.com/building-the-ai-stack-ad23ac90405f" target="_blank" rel="noopener nofollow">Building The AI Stack</a>&nbsp;</p>\r\n
    <p>What is impersonated as AI, is in fact, a false and counterfeit AI. At the very best, it is a sort of automatic learning technologies, ML/DL/NN pattern-recognizers, which are essentially mathematical and statistical in nature, unable to act intuitively or model their environment, being with zero intelligence, nil learning and NO understanding.</p>\r\n
    <p>That a totally fake AI should be somehow rectified is becoming plain even to the Turing award fakers, Hinton, LeCun and Bengio. All three Turing Award winners agree on the criticality of Deep Learning’s problems.</p>\r\n
    <p>Yann LeCun presented the top 3 challenges to Deep Learning:<br />Learning with fewer labeled samples<br />Learning to reason<br />Learning to plan complex action sequences</p>\r\n
    <p>Geoff Hinton — "It's about the problems with CNNs and why they’re rubbish”:<br />CNNs not good at dealing with rotation or scaling<br />CNNs do not understand images in terms of objects and their parts<br />CNNs are brittle against adversarial examples</p>\r\n
    <p>Yoshua Bengio — “Neural Networks need to develop consciousness”:<br />Should generalize faster from fewer examples<br />Learn better models from the world, like common sense<br />Get better at “System 2” thinking (slower, methodological thinking as opposed to fast recognition).</p>\r\n
    <p>The world faces an unprecedented case of totally fake artificial intelligence (FAI) led by the US G-MAFIA + China's BAT-Triada.</p>\r\n
    <p><img src="/images/AI_Answer.png" alt="AI_Answer.png" /></p>\r\n
    <p>These kinds of fakes are typically punished under fraud and&nbsp;<a title="smallbusiness.findlaw.com" href="https://smallbusiness.findlaw.com/intellectual-property/trademarks-basics-faq.html" target="_blank" rel="noopener nofollow">trademark laws</a>&nbsp;.</p>\r\n
    <p>Penalties are increased where the crime resulted in financial gain, or resulted in another party suffering a financial loss.&nbsp;<a title="criminal.findlaw.com" href="https://criminal.findlaw.com/criminal-charges/counterfeiting.html" target="_blank" rel="noopener nofollow">Counterfeiting - FindLaw</a>&nbsp;</p>\r\n
    <p>Google (Alphabet) has joined the trillion-dollar market cap, a group that has included Apple, Amazon and Microsoft. The biggest tech companies, which include the four above and Facebook, are collectively worth $5 trillion.</p>\r\n
    <p>Meantime, 45 million Americans collectively owe in student loans $1.5 trillion (6.9% of GDP), and they are struggling to pay it back, dreaming for $100000–500000 fake AI/ML/DL/NN placement in any G-MAFIA or BAT-triada company.</p>
    """
  -user: Proxies\__CG__\App\Entity\User {#1092 …}
  -createdAt: DateTime @1625101746 {#1145
    date: 2021-07-01 01:09:06.0 UTC (+00:00)
  }
  -updatedAt: DateTime @1625103859 {#1150
    date: 2021-07-01 01:44:19.0 UTC (+00:00)
  }
  -deletedAt: null
  -category: App\Entity\Category {#445 …}
  -status: "published"
  -imageCard: Proxies\__CG__\App\Entity\File {#1184 …}
  -ImageHeader: Proxies\__CG__\App\Entity\File {#1184 …}
  -featured: false
  -mainView: false
  -clicks: 14555
  -comments: Doctrine\ORM\PersistentCollection {#1125 …}
  -reviewed_at: DateTime @1625101746 {#1148
    date: 2021-07-01 01:09:06.0 UTC (+00:00)
  }
  -metakey: "What's Wrong With Today's Artificial Intelligence (AI)?"
  -metadesc: "Today’s artificial intelligence (AI) is limited. It still has\u{A0}a long way to go."
  -robots: null
  -publishedAt: DateTime @1625101746 {#1147
    date: 2021-07-01 01:09:06.0 UTC (+00:00)
  }
  -canonical: null
  -superTag: null
}

AppController :: renderFooter (token = b93c64)

Key Value
_controller 
"App\Controller\AppController::renderFooter"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"f59616"

CookieController :: renderCookie (token = 813a46)

Key Value
_controller 
"App\Controller\CookieController::renderCookie"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"ecf3d4"