Innovative AI - Artificial Intelligence (AI) and its impact on businesses.
Understanding the Promise of AGI
This week in Innovative AI
Innovative AI Shorts:
From Theory to Reality: Parallel Computer Systems Propel AI Forward
The Digital Deception: AI Faces Used by Trump Campaign to Influence Black Voters
Tesla CEO Elon Musk takes on OpenAI in unexpected legal battle
Executives’ Highlight: Beyond Narrow AI: Understanding the Promise of AGI
Deep Tech Center insights: Update: Feature on entAIngine
Overview: Center for Deep Tech Innovation Events
Prompts for your Organization: Midjourney for stock footage
Tools to try out: Beautiful.ai
Innovative AI Shorts:
From Theory to Reality: Parallel Computer Systems Propel AI Forward
In the world of artificial intelligence, parallel computer systems play a crucial role in accelerating AI applications. By leveraging parallel processing, AI algorithms are able to perform tasks more efficiently and quickly. Javad Ghofrani, a technology expert, highlights the importance of parallel computer systems in enabling the advancement of AI in a recent article on LinkedIn. This technology is opening up new possibilities for AI-driven innovations across various industries.
The Digital Deception: AI Faces Used by Trump Campaign to Influence Black Voters
In a recent revelation, it has come to light that former President Donald Trump's re-election campaign in 2020 reportedly used AI-generated images to target and persuade Black voters. These computer-generated faces were utilized in digital advertisements, potentially misleading viewers into thinking they were real people supporting Trump. The use of such technology raises ethical concerns surrounding political campaigns' authenticity and transparency, shedding light on the evolving landscape of digital misinformation in the political sphere.
Tesla CEO Elon Musk takes on OpenAI in unexpected legal battle
Tesla CEO Elon Musk has filed a lawsuit against OpenAI, an artificial intelligence research organization, for allegedly violating a non-profit agreement. Musk claims that OpenAI has strayed from its original mission of ensuring AI benefits all of humanity. The lawsuit comes as a surprise to many, as Musk was one of the co-founders of OpenAI in 2015. Musk's legal action could have significant implications for the future of AI research and development.
Beyond Narrow AI: Understanding the Promise of AGI
Artificial General Intelligence (AGI) represents the pivot of artificial intelligence research - creating machines capable of replicating the entirety of human cognitive abilities.
This ambitious pursuit not only involves the technical challenges of mimicking human thought processes but also encompasses the philosophical and ethical considerations to develop entities that could potentially equal or surpass human intelligence. Given the recent remarks on the development of AGI by Jensen Huang, CEO of NVIDIA, we decided to delve into AGI in this issue, exploring its development, giving insights from industry experts, and eventually providing you with an entertaining weekend read.
Firstly, we will outline what AGI entails. Following that, we will delve into expert opinions including our own on the further development of AGI.
Defining AGI
AGI goes beyond narrow AI by aiming to reach a level of intelligence and flexibility similar to humans. It's not limited to certain tasks but can learn, understand, and use knowledge in many areas, showing creativity, emotional understanding, and abstract reasoning.
A recent paper from Google DeepMind introduces a system for understanding the levels of AGI. It breaks down AGI into six levels, from Level 0 (no AI) to Level 5 (superhuman). These levels compare an AI's abilities to those of adult humans. This classification helps us tell apart narrow AI, which does specific tasks, from general AI, which can handle various tasks across different fields.
Level 0: No AI:
At this level, we have task-specific computer programs without any AI. These programs can be likened to compliers, which carry out specific functions but lack the ability to learn or adapt.
Level 1: Emerging:
This level represents AI that is at least equal to or slightly better than an unskilled humanin performing tasks. Narrow AI at this stage consists of simple rule-based systems, while general AI examples include ChatGPT, LLama 2, and Bard.
Level 2: Competent:
At Level 2, AI reaches a level of competence that surpasses the 50th percentile of skilled adults. Narrow AI examples include smart speakers and language models designed for specific tasks like essay writing — remains to be achieved.
Level 3: Expert:
Here, AI surpasses at least the 90th percentile of skilled adults in terms of proficiency. Narrow AI examples at this stage include spelling and grammar checkers such as Grammarly, as well as generative image models like Midjourney — remains to be achieved.
Level 4: Virtuoso:
AI at this level outshines at least the 99th percentile of skilled adults. Narrow AI examples include AlphaGo, the AI system that achieved remarkable success in the game of Go — remains to be achieved.
Level 5: Superhuman:
At Level 5, AI surpasses the capabilities of every human in different tasks. Narrow AI examples include Alpha Fold, which can predict a protein’s 3D structure from its amino acid sequence — remains to be achieved.
The taxonomy of “levels of AGI” proposed by Google DeepMind provides a helpful framework for understanding the progression towards AGI. It allows us to categorize AI systems based on their capabilities compared to human adults. While ChatGPT and other advanced AI models show promising signs of AGI-like traits, true AGI, which surpasses human performance across various domains, is yet to be achieved.
Yet some industry experts believe that we will achieve AGI shortly. Here are their stands on this topic:
Sam Altman, the CEO of OpenAI, envisions AGI as a powerful force that could profoundly transform our lives and how we work. He compares its potential impact to that of the Industrial Revolution, highlighting its significance for society.
At the World Economic Forum in Davos, Switzerland, Altman discussed the future of AGI and its potential societal effects. He suggested that AGI, capable of performing tasks at or beyond human levels, could become a reality in the foreseeable future. However, Altman downplays concerns about AGI drastically reshaping the world or causing widespread job loss, stating that its impact may not be as dramatic as some fear. Instead, he sees AGI rather as a tool for boosting productivity than replacing human jobs.
More on his take on AGI: hereShane Legg, co-founder of Google DeepMind, shares a balanced yet hopeful perspective on when we might achieve AGI. In an interview with Dwarkesh Patel, Legg suggests there's a 50-50 chance we could reach AGI by 2028. This estimate reflects the growing interest and investment in AI research, particularly from entities like OpenAI, and drives the ongoing conversation about AGI's possibilities and hurdles.
Legg underscores the intricate nature of human intelligence that AGI aims to replicate. Unlike narrow AI, which specializes in specific tasks, AGI promises a flexible and adaptable intelligence capable of learning and problem-solving across various fields. Achieving this goal requires overcoming significant challenges, including creating learning systems applicable to all scenarios and understanding consciousness and cognition for machine replication.
One major challenge in AGI development is scaling AI training models, which currently demand massive computational power and energy. Legg stresses the necessity for more efficient, scalable algorithms that can effectively handle large datasets.
While Legg is hopeful about AGI's future, he remains cautious, recognizing the inherent uncertainties in such a grand endeavor - The path to AGI isn't just about technology; it's also about delving into the depths of intelligence itself. It challenges us to comprehend and recreate the intricacies of human thought, pushing the boundaries of what machines can achieve.
Watch the whole interview here:
Jensen Huang, the CEO of NVIDIA, recently shared his thoughts on the potential timeline for realizing Artificial General Intelligence (AGI). Speaking at a forum at Stanford University, Huang proposed that AGI, might become a reality within the next five years. He believes that AGI's development progress depends on its capability to successfully navigate through a diverse set of human tests. He thereto highlights the transformative impact AGI could have across various sectors such as healthcare, finance, education, and transportation, while also acknowledging the ethical, technical, and philosophical complexities that accompany its development.
More on his take on AGI: here
Our take on AGI development
The journey toward creating AGI showcases human development towards a relentless pursuit of knowledge and innovation, pushing the boundaries of what's technologically feasible. As industry leaders are positive about the technical possibilities, it's evident that AGI isn't just a tech milestone; it (may) marks a crucial moment in our relationship with machines. AGI has the power to revolutionize industries, boost productivity, and tackle global challenges, but it also raises ethical, societal, and existential questions that require careful consideration.
Therefore, as we come closer to the potential realization of AGI, the collaborative efforts of researchers, technologists, ethicists, and policymakers are needed. Developing AGI isn't merely a competition for intellectual dominance; it's a joint effort aimed at leveraging AI's full potential responsibly and in line with human values.
Using AI isn't just about economics; it's also about serving the greater good. AI technology has the potential to address pressing societal issues, improve quality of life, and advance global welfare. By leveraging AI for humanitarian purposes, we can tackle challenges such as healthcare accessibility, environmental sustainability, disaster response, and education equity.
With that in mind. We close with an engaging weekend read recommendation. Have an entertaining read on Jeremy Lamri’s Medium article.
What might great philosophers have said about AI… according to AI?
Deep Tech Center insights:
In this category, we keep you informed about both existing and recently launched products.
In addition to our consulting services, the Center for Deep Tech Innovation collaborates with entAIngine, a platform designed for the rapid and compliant generation of enterprise-grade AI applications.
Using entAIngine, everyone can develop AI applications for their specific use case.
Recently, an update to entAIngine was launched, making the development of AI applications easier and more efficient. In the following video, I present you this update along with an exemplary use case of an application built on entAIngine.
If you want to delve deeper into entAIngine and find out how to develop your own compliant enterprise-grade AI application, reach out to us via the entAIngine website or directly here.
Overview: Center for Deep Tech Innovation Events
As some of our readers might know, we offer a series of webinars on AI.
Below, find a list of upcoming webinars:
Prompt Engineering for Business Transformation: A Workshop (paid)
Wednesday, April 10, 2024, 4:00 p.m. (CET)
Wednesday, May 8, 2024, 4:00 p.m. (CET)
Wednesday, June 5, 2024, 4:00 p.m. (CET)
ChatGPT Beyond the hype - Embeddings, RAGs & on-premise LLMs for Innovators (free)
Wednesday, April 3, 2024, 4:00 p.m. (CET)
Wednesday, May 15, 2024, 4:00 p.m. (CET)
Wednesday, June 12, 2024, 4:00 p.m. (CET)
For more content, feel free to visit our YouTube channel and LinkedIn
Prompts for your Organization
Midjourney for stock footage:
/imagine: “Outdoor style fashion photo, full – body shot of a man with mid-long brown hair, happy and smiling, he is standing on his bicycle wearing a light blue long sleeved blouse with closed buttons and dark blue jeans trousers, in the background the exterior of an fancy coffee place, fully lit background, natural afternoon lighting”
Tools to try out: Beautiful.ai
Beautiful.ai is a presentation design platform that simplifies the creation of visually appealing slide decks. It offers a library of customizable layouts and styles, along with royalty-free images, making it easy to create polished presentations. The platform utilizes AI-powered features such as text highlighting for rewrite suggestions and dynamic sliders for updating data. For users unsure of where to start, Beautiful.ai's Designer Bot generates complete presentations based on provided descriptions of focus, theme, and style, which users can then customize further. A free trial is available for users to explore the platform's features. Pricing ranges from $12 to $40 per user per month, billed annually.
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We have got you covered. Find here an Overview of our latest issues:
31.- Reshaping Architectural Creativity with AI
30.- Update on Google's recent AI developments
29.- AI and the Ballot Box: How Artificial Intelligence Can Influence Future Elections
28.- The future is now - what to expect from AI in 2024
27.- The New Era of AI Regulation: Exploring the EU's AI Act and Biden's Executive Order
26.- The Road to Artificial General Intelligence (AGI)
25.- OpenAI: Pioneering the Future of Artificial Intelligence
24.- The EU AI Act and Beyond: Overview of the Landscape of AI Regulation
23.- EY.ai Workforce: Revolutionizing HR with Artificial Intelligence
22.- From ChatGPT to Global Collaborations: OpenAI's AI Revolution
21.- AIOps: The Digital Revolution in IT Operations
20.- Amazon's AI Blueprint: Alexa at the Forefront of Gen AI Innovation
19.- AI in Healthcare: Transforming Medicine for Better Patient Outcomes
18.- Game Development in the Age of AI: A New Frontier
17.- AI in Agriculture: A Revolution in the Making
16.- AI and IoT: Pioneering the Next Digital Frontier
15.- Google's AI Evolution: From Search Algorithms to Technological Mastery -A Chronicle of Google's AI Endeavors
14.- Energizing Intelligence: The Intersection of AI, Energy Usage and Sustainability
13.- Exploring the Synergy of AI and Blockchain for smart contract auditing
12.- The AI Landscape: Microsoft's Pioneering Role and Future Prospects
11.- Shaping the Legal Landscape: The Evolving Role of AI in the Legal Sector
10.- Venture Capital in the Age of AI: A New Investment Paradigm
9.- AI and the Value of Human Skills: A Collaborative Future
8.- Unlocking the Power of AI: Advancing Climate Solutions through Technology
7.- META's Paradigm Shift: Embracing Open-Source AI for Competitive Advantage
6.- Transforming the Marketing and Design Landscape: Exploring the Power of Adobe Firefly
5.- META's Paradigm Shift: Embracing Open-Source AI for Competitive Advantage
4.- The Role of Generative AI in Marketing: Unlocking Creativity's Potential
3.- NVIDIA: Empowering the AI Revolution and Surpassing $1 Trillion Valuation
2.- AI and the Future of Work: What it Means for Leaders
1.- Corporate Managers are finding their way into AI