The AI or Deep Learning and End-to-End Reinforcement Learning (Deep Reinforcement Learning) towards AGI (Artificial General Intelligence) are reviewed easily for understanding with my past works that were done before the DQN by Google DeepMind, and also what I think about the development of AI is presented.
Artificial Intelligence has become an essential part in our day-to-day life, and with the advancements in this field and how close we got to the Artificial Consciousness it’s getting into all types of digital media and even the film and TV industry. Machines now can author novels, create art, generate videos, act as news anchors, write fiction, compose music and the skies are the limit.
Where is AI taking us to future with digital media? Will there become a day that it will totally replace us? What is Digital Creativity and how close it is to our human creativity? How can we deal with a future where all these scary factors are approaching fast?
All these topics and more will be the core of the subject of the speech. It’s a conversation long due now and we should initiate it now before it’s too late. My experience in both Digital Media and Artificial Intelligence alongside with my recent research about Artificial Consciousness makes me qualified to carry such a tough conversation and bring it to light. I always say: Machines are NOT coming,they’re already here.
The AI or Deep Learning and End-to-End Reinforcement Learning (Deep Reinforcement Learning) towards AGI (Artificial General Intelligence) are reviewed easily for understanding with my past works that were done before the DQN by Google DeepMind, and also what I think about the development of AI is presented.
Artificial Intelligence has become an essential part in our day-to-day life, and with the advancements in this field and how close we got to the Artificial Consciousness it’s getting into all types of digital media and even the film and TV industry. Machines now can author novels, create art, generate videos, act as news anchors, write fiction, compose music and the skies are the limit.
Where is AI taking us to future with digital media? Will there become a day that it will totally replace us? What is Digital Creativity and how close it is to our human creativity? How can we deal with a future where all these scary factors are approaching fast?
All these topics and more will be the core of the subject of the speech. It’s a conversation long due now and we should initiate it now before it’s too late. My experience in both Digital Media and Artificial Intelligence alongside with my recent research about Artificial Consciousness makes me qualified to carry such a tough conversation and bring it to light. I always say: Machines are NOT coming,they’re already here.
"AI is “our greatest existential threat…”
“I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish.”
“I think there is potentially a dangerous outcome there.” (referring to Google’s Deep Mind which he invested in to keep an eye on things)."
Elon Musk
This is a live presentation (turned into a deck) on how human's process information versus machines. The deck also looks to the future of AI and machine learning. Spoiler: it ends with a scene out of WestWorld Season 1 (love the show). A number of the slides are a summary of a few incredible TED talks. Credit to the authors of these talks and links to their presentations are included. Hope you find these slides fun and informative.
On March 26, 2015 Steve Omohundro gave a talk in the IBM Research 2015 Distinguished Speaker Series at the Accelerated Discovery Lab, IBM Research, Almaden.
Google, IBM, Microsoft, Apple, Facebook, Baidu, Foxconn, and others have recently made multi-billion dollar investments in artificial intelligence and robotics. Some of these investments are aimed at increasing productivity and enhancing coordination and cooperation. Others are aimed at creating strategic gains in competitive interactions. This is creating “arms races” in high-frequency trading, cyber warfare, drone warfare, stealth technology, surveillance systems, and missile warfare. Recently, Stephen Hawking, Elon Musk, and others have issued strong cautionary statements about the safety of intelligent technologies. We describe the potentially antisocial “rational drives” of self-preservation, resource acquisition, replication, and self-improvement that uncontrolled autonomous systems naturally exhibit. We describe the “Safe-AI Scaffolding Strategy” for developing these systems with a high confidence of safety based on the insight that even superintelligences are constrained by the laws of physics, mathematical proof, and cryptographic complexity. “Smart contracts” are a promising decentralized cryptographic technology used in Ethereum and other second-generation cryptocurrencies. They can express economic, legal, and political rules and will be a key component in governing autonomous technologies. If we are able to meet the challenges, AI and robotics have the potential to dramatically improve every aspect of human life.
By now we all know the image: bipedal mechanoids designed in our own likeness, used to aid the human race in all walks of life. Through stories, films, practical applications and our own imagination, robots are synonymous with the human psyche.
Social Effects by the Singularity -Pre-Singularity Era-Hiroshi Nakagawa
Contents:
Stance of scientists community against Pre-Singularity problems
Amplification vs. Replacement
AI takes over jobs
Boarder line between amplification and replacement
Autonomous driver： trolley problem
The right to be forgotten
Towards black box
Responsibility
Vulnerability of financial dealing system made of many AI agent traders connected via internet
AI and weapon
Filter bubble phenomena
Analogy： Selfish gene
AI and privacy
The right to be forgotten, Profiling and Don’t Track
Feeling of friendliness to android
Again self conscious and identity
A presentation I created for class that tries to explain the different approaches in developing Artificial Intelligence through explanation and examples.
When you look at recent AI achievements, it seems fair to think that humanoid robots will be cooking for us at home in a few years. This is unfortunately unlikely.
This presentation will tell you why cooking at home is way more difficult than building a car in a factory (for a robot anyway!).
gwennael.gate@angus.ai
This guide demystifies AI and democratizes AI knowledge on how it creates and delivers value. It provides an essential understanding of AI to anyone with varying technical knowledge, curiosity, and interest in the technology.
"AI is “our greatest existential threat…”
“I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish.”
“I think there is potentially a dangerous outcome there.” (referring to Google’s Deep Mind which he invested in to keep an eye on things)."
Elon Musk
This is a live presentation (turned into a deck) on how human's process information versus machines. The deck also looks to the future of AI and machine learning. Spoiler: it ends with a scene out of WestWorld Season 1 (love the show). A number of the slides are a summary of a few incredible TED talks. Credit to the authors of these talks and links to their presentations are included. Hope you find these slides fun and informative.
On March 26, 2015 Steve Omohundro gave a talk in the IBM Research 2015 Distinguished Speaker Series at the Accelerated Discovery Lab, IBM Research, Almaden.
Google, IBM, Microsoft, Apple, Facebook, Baidu, Foxconn, and others have recently made multi-billion dollar investments in artificial intelligence and robotics. Some of these investments are aimed at increasing productivity and enhancing coordination and cooperation. Others are aimed at creating strategic gains in competitive interactions. This is creating “arms races” in high-frequency trading, cyber warfare, drone warfare, stealth technology, surveillance systems, and missile warfare. Recently, Stephen Hawking, Elon Musk, and others have issued strong cautionary statements about the safety of intelligent technologies. We describe the potentially antisocial “rational drives” of self-preservation, resource acquisition, replication, and self-improvement that uncontrolled autonomous systems naturally exhibit. We describe the “Safe-AI Scaffolding Strategy” for developing these systems with a high confidence of safety based on the insight that even superintelligences are constrained by the laws of physics, mathematical proof, and cryptographic complexity. “Smart contracts” are a promising decentralized cryptographic technology used in Ethereum and other second-generation cryptocurrencies. They can express economic, legal, and political rules and will be a key component in governing autonomous technologies. If we are able to meet the challenges, AI and robotics have the potential to dramatically improve every aspect of human life.
By now we all know the image: bipedal mechanoids designed in our own likeness, used to aid the human race in all walks of life. Through stories, films, practical applications and our own imagination, robots are synonymous with the human psyche.
Social Effects by the Singularity -Pre-Singularity Era-Hiroshi Nakagawa
Contents:
Stance of scientists community against Pre-Singularity problems
Amplification vs. Replacement
AI takes over jobs
Boarder line between amplification and replacement
Autonomous driver： trolley problem
The right to be forgotten
Towards black box
Responsibility
Vulnerability of financial dealing system made of many AI agent traders connected via internet
AI and weapon
Filter bubble phenomena
Analogy： Selfish gene
AI and privacy
The right to be forgotten, Profiling and Don’t Track
Feeling of friendliness to android
Again self conscious and identity
A presentation I created for class that tries to explain the different approaches in developing Artificial Intelligence through explanation and examples.
When you look at recent AI achievements, it seems fair to think that humanoid robots will be cooking for us at home in a few years. This is unfortunately unlikely.
This presentation will tell you why cooking at home is way more difficult than building a car in a factory (for a robot anyway!).
gwennael.gate@angus.ai
This guide demystifies AI and democratizes AI knowledge on how it creates and delivers value. It provides an essential understanding of AI to anyone with varying technical knowledge, curiosity, and interest in the technology.
What is Artificial Intelligence? : Everything You Need to Know about AIDashTechnologiesInc
Artificial Intelligence may be a buzzword now, but it’s not a new term. It was coined in 1956 by Minsky and McCarthy. Even though their effort to bring AI into the world’s attention failed, scientists and innovators started researching and developing machines that would mimic humans. In a nutshell;
Telecom Equipment manufacturers are dependent on Telecom Operators revenues. The Telco revenues are being disrupted by OTT players and do not have the leadership to change the business model. So in this scenario is it easier for a Telecom equipment manufacturer to take a lead and set the disruption to OTT players. The advantage which Telcos have is that they are sitting on 3 important assets which can be used in a Ecosystem to increase their revenues. Will there be leadership among the Telecom equipment makers rank to drive change.
The IOT focus has been on Technology. But for the usage to increase with consumers the focus needs to change from technology to the Value Model, Business Model and Ecosystem.
IOT is a technology in search of a business model. While technology is great you need a business model and ecosystem to drive value. IOT is the Cart and Virtual Ownership is the horse which drives the carriage.
How Identity Platforms will change Future Business Models. Business Models will be centered around Individuals and their identity and what they can contribute to an individual. Many Business Models will change around that.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
AI Manifesto
1. Manifesto for Artificial Intelligence and
Automation, Digitalization
A need to separate the Hype and Buzzwords from reality
https://youtu.be/v5JoMXWzJhA
2. A holistic view, beyond the Hype
Scare : “We loose all our jobs” or “AI controls us”.
Yes some will loose their jobs to AI/Automation.
90% of the People today use words like AI, Automation, Digitization as a name
thrower does, to grab attention, without going into details of what it means.
In the first part I would take AI as a topic and leave Automation as a subset of AI.
The Digital topic : Where we take Digital as a mindset not technology.
3. Preface : Some thoughts on AI Hype
Trump makes my Job of explaining Hype easier.
Make wild claims without substantiating facts.
History repeats itself. Hype has been the cornerstone of Power grab.
Hype goes along with unchecked facts. Take the case of Chairman Mao
And the great sparrow campaign. Kill the sparrows he said. And
Without thought to the consequences sparrows were killed.
Disaster and Famine followed as the pest/locust population went up.
Link below.
https://en.wikipedia.org/wiki/Four_Pests_Campaign
Many thanks to Donald
Trump is a collaborator for this Article in explaining
Hype. He is the greatest Hype Teacher, period.
Trump is today in the Kill the sparrow phase 29th July 2018 with the consequences to follow later. The economy is booming!
Well in the short term it will, if you have tax cuts.
5. The AI scare, some parts will be true
Look at this article where Putin predicts, future wars will be fought with drones and AI. It is a natural accession from spears to guns to Tanks
to aircrafts and now drones and AI. However the moral map needs to change if we want to make progress and not technology.
https://www.cnbc.com/2017/09/04/putin-leader-in-artificial-intelligence-will-rule-world.html
But definitely not this below.
https://www.inc.com/kevin-j-ryan/elon-musk-responds-to-mark-zuckerberg-ai-comments.html
6. No skin in the game, No walk the talk, Just talk
CEO Strategy: Heads I win(I gain) Tails you loose(Company pays)
Sikka claimed Infosys would reach 20 Billion USD by 2020, well it is at 10.93 billion USD for
2018. As a CEO he increased his salary while minimal raises to staff below him.
The 20 Billion news trail. From Gung Ho to What did I Say
•The first Report May 12, 2015 starts on a confident note. Everyone cheers. Vishal is the New CEO and
knows exactly what to do. http://www.livemint.com/Companies/VPNtZ29FOwN2sFCQnJFoBO/How-
Infosys-plans-to-use-MA-to-hit-20-billion-in-sales-by.html
•The next report in Feb 2016 sounds out the exact breakup. Still happy times.
http://www.livemint.com/Companies/cIGkbKaRxETdbW1DYlE88N/Infosys-says-on-track-to-meet-20-
bn-sales-target-by-2020.html
•The next report on April 21, 2017 sounds a commitment that is hurting.
http://www.livemint.com/Companies/I9zOulsXPb2kcVSzTenbdJ/How-Infosyss-20-billion-revenue-target-
by-202021-is-hurti.html
•The last report which came on 8th June 2017 says that Infosys has dropped its 20 billion revenue target
and has an advisory board for Vishal Sikka.
http://www.livemint.com/Companies/l544GDvBrL41hPw9dHjVoL/Infosys-drops-20-billion-revenue-
target-forms-advisory-pan.html
7. No skin in the game, No walk the talk, Just talk
Or Stephen Elop who made millions while people below the line were fired. A third ecosystem
with windows he proclaimed, It seemed a replay of the Emperor is Naked moment. Anyone in
Nokia could have questioned emperor Stephens invisible clothes (Naked, no Business strategy)
How thrilled would you be with a third car rental company which does not change the
business model. There is no talk of VALUE MODEL, BUSINESS MODEL AND ECOSYSTEM in the
Industry which scares me. No one on the Nokia board questioned Stephen why do you think a
third ecosystem would work
More on it later….
8. Lets not fool ourself with our own hype
There are two ways to be fooled.
One is to believe what isn't true;
the other is to refuse to believe what is true.
We will build self aware machines.
Machines do not have life and are not self aware.
The first statement is by people who want the elation of being
a creator, without doing the homework of what needs to be
done. They are the attention grabbers.
10. The AI Manifesto thread : These are the topics I cover
Part 1
1. Is AI a revolution which affects us beyond our control or is it just another technology we use.
2. What about Job losses, and I will look at it from a value perspective which gives a different insight.
3. First characteristic of a brain : Multi dimensional: Why is AI different from our brains or a bee brain
4. Second characteristic : Compact and Integrated brain:
5. Why we cannot play GOD with AI
6. Conciousness and self awareness and procreation, self repair.
7. What about the other planes like control, ego, self preservation, moral plane.
8. Why Ego and action are connected.
9. Which template should we use for AI, a human brain or a Volvo excavator template.
10. What about Job losses from a Value perspective, Value model and Value decay.
11. A Value model for AI
12. The moral dimension of AI
Part 2
13 . The digital model is a mindset and an endeavor to find Value. Technology is just a tool in the digital mindset.
14. More on the Paradigms, Value Model, Business Model and Ecosystem.
15. Closing the AI discussion : Apply it to AI Paradigm. How it ties together.
16. Job losses revisited with a value goggles
11. 1
Is AI a revolution which affects us, beyond our control or
is it just another technology we use.
I think it is the second, just a technology we use.
Why?? Read on
12. 2
What about Job losses??
Lets look at it from a Value perspective and not a
reactive perspective.
Yes you are going to loose your job which does not add
Value
Gives a very different insight.
Lets deep dive later.
13. 3
An Human /Animal is built on Multidimensional planes
AI today are single dimensional or at the most single digit dimensional.
Why is AI different from our brains or a bee brain. First multidimensional aspect of our
brain: Multiplanes of sensing, feeling, understanding, thinking and interacting,
Senses sensing: visual, sound, smell, touch, taste,
Feeling : mood emotion, tone, social context.
Understanding or perception: of feelings, problems.
Thinking and interacting: Acting on decisions, Interaction with Language, identity,
consciousness, self perception and self awareness. Empathy etc.
14. 3
Animals are Multidimensional with senses
Intelligence is defined differently in all living
beings. Ability to build ant nests, beehives,
forage for food, reproduce. All being
conscious and self aware.
15. 3
How many dimensions does an AI function in
How do you build context of AI to the real
world
16. 4
Compact and Integrated: We have a long way to go
Specifications Human Brain : 86 Billion Neurons,
1.28 kgs weight, 80% water, volume of 2 liter
bottle of soda and powered by the energy of a
80 watt bulb.
Alfago had 13 servers 1 mw power.
What about integrated evolution like computing,
memory and computation being together in us
versus separate in Computers. The same neurons
communicate, save data and compute.
17. 5
Playing God: Lets set the record straight
Stop it Mr Know it all:
For gods sake we know only a fraction of a fraction of a fraction of Any thing
created, leave alone Intelligence
The argument against AI ruling the world
The relationship of the creator to us is the same as we to the robots AI.If indeed
we could control god, then it is possible the same logic applies to robots
controlling us.
While you can never be bigger than your creator. AI may outdo humans in the
same way a digger outdid humans. But not in the control area.
18. 6
What does the AI of today understand.
0100100
1010100
0100010
0010101
0001010
1010101
1001010
1000010
1000100
0101010
1010101
0000010
Many
conversion
layer later
Its just an
algorithm of a
smart
mathematician
which identifies
a pattern. It is
called deep
learning to
impress you
NO CONCIOUSNESS OR SELF AWARENESS
19. 6
What do we have which AI does not have:
Consciousness and Self awareness.
A note on awareness and understanding. A plane or car going from A to B with an autopilot is not aware , but is reacting to
any obstacles and the road or runway, its is similar to a mouse trap set to react to external inputs. It is not intelligent. How
does a computer understand an image of a dog, it is bits and pieces of 1 and 0, no it slots it into a image in one plane, I could
identify a dog with its bark and not just an image or by its howling or perhaps its smell. Self driving cars don’t understand,
these are reaction machines which have sensors to detect obstacles.
Did we miss out procreation, self repair and mortality?
And that too in the physical plane.
20. 7
There are still more planes other than ones mentioned
earlier.
Control, Ego, Self preservation, Moral plane, Empathy
21. 8
Ego and Action are connected
Ego and self awareness give rise to motivators in humans, there is no corresponding AI equivalent motivators. Simulated
Intelligence or Weak AI and Strong AI is the difference between simulating a mind and actually having a mind. This is
described in the Chinese room example which gives the example of a AI simulating a chinese character and a human who
does not understand Chinese simulating the same results without knowing Chinese. A person like me who does not
understand Chinese, can simulate he knows Chinese with a google language translator in a chat. But I would understand
meaning only in the language I understand. AI does not understand the way humans do.
It is the difference between simulating intelligence and intelligence.
https://en.wikipedia.org/wiki/Chinese_room
22. 9
Lets settle the Argument: Which template should we use
for AI
If we figure out consciousness or self awareness we can replace god. So lets settle this AI/Not AI argument in another way. If self awareness
and consciousness is the prerequisite to Strong AI, then as long as we do not have consciousness or self awareness , we cannot have Strong
AI. And till we build consciousness and self awareness we cannot build Strong AI.
AI
No Self Awareness
23. 10
Now that we have settled the template, lets come to the
Value model for Jobs.
What would you use to escavate a Dam foundation
If we have concluded that AI is not a super whatever we can get down to job losses from a value angle. We also get to value model and value
decay. We now come to a realistic plane of AI, one that is grounded in reality.
Which
24. 11
Value Model: Any thing or person that does not add
value for that situation will loose.
Similar to half life of radioactive material, A value model looses value once it is
Introduced. And it is replaced by a new value model. Horses by Cars and Roads,
Roads and Cars by Trains, Trains by Airlines, Airlines by video conferencing.
In the Industrial age Cars needed a value structure like roads, petrol stations,
charging station to function in. Similarly taking a machine analogy of AI, you need
to have an infrastructure to harness the AI power. A value frame work enables
that. We will cover that in section 2.
We will cover the Paradigms, Value Models, Business models and Ecosystems
interplay in the next section of Digital.
25. 12
Even if we still manage to build AI on a human scale
which AI do we want :The Good, The Bad or The Ugly
26. 12
Another way to look at AI
When Humans tamed horses we gained strength and speed, when we harnessed
steam engine or the petrol engine we harnessed yet more power. All this was on
a physical plane.
We never complained that a Car can outrun a human.
Similarly we now are harnessing computing capability as we develop
technologies to improve speed and performance of computers.
We should never complaint that a Algorithm can out think us
We just have a technology to make that Algorithm run faster.
Algorithms existed from 1950s and 60, we now run them.
27. 12
The Moral dimension of AI
If Humans ever get to a self aware AI, we will come to the
moral dimension of AI. Till then the moral dimension of
humans will decide the way AI is used. Moral dimension and
Control are tied together.
What is morality ?
Say I raise an Army of 10000 AI robots capable of inflicting and killing civilians. As long as I have the resources to
build Robots, I can raise my own private army.
As a nuclear arms race, It becomes an AI arms Race
Now here is the catch. If AI can turn a monster, you have
to accept the other fact that AI can be a saint.
28. 12
As long as we are self aware and
AI is not selfaware we have no threat from AI, but from
humans and their morality for which they use AI.
Like a Nuclear device we need to have a moral
dimension to keep egos and a Arms race in AI, in check.
AI Like Nuclear power can be beneficial (using nuclear
for power) or destructive (using for a nuclear bomb).
30. The AI Manifesto thread : These are the topics I cover
Part 1
1. Is AI a revolution which affects us beyond our control or is it just another technology we use.
2. What about Job losses, and I will look at it from a value perspective which gives a different insight.
3. First characteristic of a brain : Multi dimensional: Why is AI different from our brains or a bee brain
4. Second characteristic : Compact and Integrated brain:
5. Why we cannot play GOD with AI
6. Conciousness and self awareness and procreation, self repair.
7. What about the other planes like control, ego, self preservation, moral plane.
8. Why Ego and action are connected.
9. Which template should we use for AI, a human brain or a Volvo excavator template.
10. What about Job losses from a Value perspective, Value model and Value decay.
11. A Value model for AI
12. The moral dimension of AI
Part 2
13 . The digital model is a mindset and an endeavor to find Value. Technology is just a tool in the digital mindset.
14. More on the Paradigms, Value Model, Business Model and Ecosystem.
15. Closing the AI discussion : Apply it to AI Paradigm. How it ties together.
16. Job losses revisited with a Value goggles
End point
31. 13
Digital is a mindset and not technology
What is it that people mean when they throw around the word digital.
Digital without a supporting business model is nothing.
Technology is a tool to be used for a Digital strategy.
Digital Strategy means understanding the whole play and devising a strategy based on the
Value model business model and ecosystem.
Using technology is a just a small part of the digital strategy.
Digital Value Model/Business
Model/Ecosystem
Digital
Technology
32. 14
Paradigm, Value model, Business model and
Ecosystem
When a paradigm changes, the Value model generally changes and with it prompts the need
for a new Business model and an Ecosystem.
Take any new paradigm shift like Railroads, Air travel, Computer, Word power/point
Applications, Internet, search, and it will also happen for AI.
Paradigm
shift
Value
Model
Business
Model
Ecosystem
33. 15
AI Paradigm triggers a change in the Value
model, Business model and Ecosystem
What Value model does AI require?
What business model does it change?
How does the Ecosystem change?
AI
Paradigm
shift
Value
Models will
change
with AI
Business
Model will
change
Ecosystem
34. 16
What Value does this add? If your Job can be upended by a
AI/Robot for more value at a lower cost. Try to find a new
Value model
Value
Cost
What Value does this Human add
Value
Cost
Can a AI add the same value at
lower cost
35. 16
It is the same as someone not hiring you to dig a Dam
Which
36. 16
Jobs revisited with Value Goggles
Capabilities based on individual gender skills
Normal Human capabilities
What Einstein
does
What Men can
do
What Women
can do
What Hussain
Bolt can do
38. 16
So all jobs whose Value can be achieved at a
lower cost will go.
Normal Human capabilities
Sales
Ticket checker
Comedy Train/Car driver
Airport check in
