The question of where artificial general intelligence (AGI) will emerge first is a race that has captivated the world's attention. AGI, an intelligence capable of performing all tasks like a human, and potentially excelling in many aspects, is on the brink of becoming a reality. The advancements in this domain are astonishing, and the world stands on the precipice of a revolution that could alter everything.
Dr. Alan D. Thompson, a distinguished AI expert, closely monitors the AGI's development. On his website, Life Architect.AI, he maintains a conservative countdown to AGI, documenting the milestones and justifications for progress in this field. The latest developments indicate that we are already 54% along the path to AGI, with remarkable advancements from Google Deep Mind Robotics Transformer RT-2, Anthropic Claude 2, and LLaMA.
Credit to Dr. Alan Thompson, https://lifearchitect.ai/agi/
AGI is on the verge of revolutionizing the world as we know it. Progress in this realm is swift, and the possibilities appear boundless. New #technologies always come hand in hand with a novel dimension of #responsibility. Ethical considerations accompanying the creation of AGI are intricate and far-reaching. We await with anticipation the unfolding journey as we track the development of AGI and scrutinize the profound impacts it could wield on our society, economy, and daily existence. The future is here, and it's more exhilarating and intricate than we could ever have imagined. 🚀
AGI should be achieved by mid-2025
Credits to Dennis Xiloj
The Pioneers of AGI
The world of AGI is full of innovations and breakthroughs. Companies like Google, Microsoft, and DeepMind are at the forefront, pushing the boundaries of what's achievable. The Unitree H1, a humanoid robot, exemplifies how mobile technology has already become:
With a speed of 18 km/h (a person runs at an average of 10 km/h) and good motor balance, it is a "fast" fellow. Equipped with a lot of skills, know-how and - lots of cameras for optimal orientation 🦾.
The Challenges of AGI
Despite the progress, challenges persist, as emphasized by Dr. Thompson in an interview with Financial Sense host Cris Sheridan. The 'hallucinations' of large language models and the issues of trustworthiness and reliability are just a few of the problems that need to be addressed. OpenAI now dedicates 20% of its computing power to the field of 'AI Alignment.' Masterbrain and Chief Science Officer Ilya Sutskever himself lead the team tasked with developing 'RLAIF'- reinforcement learning with AI feedback. Human trainers have simply become too slow, and most importantly, we humans are inherently biased... rigid value frameworks don't function well for us. We are diverse individuals and, therefore- beyond just a mathematical standpoint - unpredictable.
Conclusion
AGI, which stands for Artificial General Intelligence, is 'the hypothetical intelligence of a computer program that has the capacity to understand or learn any intellectual task that a human being can do.' (Wiki). It's more than just technological advancement; it's a paradigm shift that will alter how we live, work, and interact. The journey to AGI is exciting in many aspects, but also full of challenges and ethical considerations.
"The people crazy enough to think they can change the world are the ones who do." Steve Jobs
With AGI as a new, ubiquitous stakeholder in our personal and professional spheres, we stand at the threshold of a new era of innovation and human advancement.
Dear friends, dear IT community,
Over the past few weeks, I have been doing intensive research and have worked through some remarkable articles and studies on the subject of artificial intelligence and ethics. Here are a few of the most important insights:
🎨 AI and Copyright: A Journey Through Art and Technology
The discussion about copyright in relation to AI-generated art raises significant questions about authorship. An interesting viewpoint is:
"A computer cannot have its own rights because it has no thoughts or feelingsof its own."
This debate underscores the necessity of adapting copyright laws to the digital era.
1️⃣ No Copyright for AI Art in the USA
A U.S. court has ruled that AI-generated art cannot be protected by copyright. This verdict might open up new creative freedoms, but it has also provoking protests among artists and writers. "The court's decision is a significant one for the burgeoning field of AI art," according to the source.
2️⃣ German perspective
In Germany there are also no copyrights for AI-generated art.
"Works created by an AI cannot be copyrighted."
is the clear massage.
3️⃣ Metahuman Creator: A New Horizon
The Metahuman Creator is another example of the fusion between AI and art. With this technology, artists can craft realistic human characters for films, games, and other media. "How to Get Started with Metahuman Creator" provides a comprehensive guide on how to initiate work with this innovative tool. It opens a new door for creativity where AI is not just a tool, but a collaborator in the creative process.
Scary Movie ...👻
Conclusion: A Canvas of Possibilities
AI-generated art stands at an exciting crossroads. The legal decisions in the USA and Germany, combined with the global perspective on the role of AI in art, paint a picture of opportunities and challenges. The freedom to create without the restrictions of copyright will unleash a wave of new images, videos, and digital avatars. Simultaneously, it challenges us to contemplate the significance of originality, authenticity, and human creativity. 🎨
🚀 Anthropic: "Constitutional AI" Innovation
Anthropic, a AI startup founded by former OpenAI employees, has swiftly positioned itself at the forefront of technology. With substantial investments and a clear vision (Mission Statement: HHH - helpful honest harmless, "help people and society to flourish"), the company has made a series of headlines. Here are the key developments in terms of funding and mindset:
1️⃣ $100 Million Investment from SK Telecom
In an impressive move, South Korean telecommunications giant SK Telecom has invested $100 million in Anthropic. This investment underscores confidence in Anthropic's ability to develop AI models that are both powerful and secure. Read more.
2️⃣ "Constitutional AI" as a Training Method
Anthropic believes that 'Constitutional AI' is the best approach to training models. By embedding rules and principles into the training process, the company aims for a more responsible and ethical AI. Learn more.
3️⃣ SAP Investments in Generative AI Startups
In addition to Anthropic, SAP has also invested in other generative AI startups such as Cohere and Aleph Alpha. These investments reflect the growing interest in developing AI technologies that go beyond traditional deep learning. More on this.
🎙️ Interview with Anthropic's CEO Amodei
So I'm not quite as sure as I was before that we're missing enough of the things that you would need. I think today's models just probably aren't smart enough that we should worry about this too much but I'm not 100% sure about this, and I do think in a year or two, this might be a very real concern.Let's say we discover that I should care about Claude’s experience as much as I should care about a dog or a monkey or something. I would be kind of worried. I don't know if their experience is positive or negative. Unsettlingly I also don't know I wouldn't know if any intervention that we made was more likely to make Claude have a positive versus negative experience versus not having one. 🧐
🌐 China, USA, NVIDIA, and LIMA: A Complex Struggle for Chips and Resources
In the rapidly evolving world of artificial intelligence (AI), China and the USA are leading the global race. With the increasing demand for NVIDIA's AI chips and the establishment of the Pentagon's Task Force LIMA, a complex and multifaceted landscape emerges. The involvement of the Federal Trade Commission (FTC) adds another dimension. Here is an analysis of the various aspects and sources that shed light on these topics, attempting to provide a comprehensive understanding of the global AI landscape.
🏁 China and USA Racing for AI Dominance
The intense competition between China and the USA in developing AI-driven drone swarms is more than just a technological race. It's a battle for global dominance, with both nations making substantial investments. The Wall Street Journal emphasizes that 'The race is part of broader competition between the U.S. and China over advanced technologies.' AI dominance could shift the global power balance, with both China and the USA investing significantly to take the lead. The ramifications of this race could be profound, spanning from the economy to national security.
⚖️ FTC and AI Regulation
Regulating AI is a complex and widely debated topic worldwide. The FTC has made it clear that it's prepared to address biased algorithms. 'The FTC is ready to challenge biased algorithms,' is the unequivocal message: Aiming for truth, fairness, and equity in your company's use of AI. This regulation could bring about more fairness, but the question is how enforcement will work in practice. Striking the balance between innovation and ethics is a challenge that needs careful navigation.
🛡️ Pentagon and Task Force LIMA
The Pentagon has taken a significant step by establishing Task Force LIMA to examine the ethical, policy, and legal implications of AI. 'The task force will study the ethical, policy, and legal implications of AI,' according to the defense department's official statement. The task force could set standards, but its effectiveness relies on collaboration between government, industry, and academia. The challenge is to find common ground that promotes technological development while preserving ethical norms.
🔌 NVIDIA and China
China's high demand for NVIDIA's AI chips, which incidentally are produced in Taiwan and China, as described in the Financial Times, is indicative of the strategic importance of AI in modern technology. 'China's demand for NVIDIA's AI chips is insatiable,' the report states. The demand could lead to tensions between China and the USA, especially given the current trade relations and the US sanctioning of the coveted A100 chips used for training AI models.
Conclusion:
Developments in the AI landscape, particularly in the context of China and the USA, are intricate and complex. The race for AI dominance, regulatory challenges, varying ethical considerations, and economic interests are intertwined. International collaboration will be crucial despite all conflicting interests, in order to harness the benefits of AI while mitigating associated risks. 🌐 #diplomacy #stakeholdermanagement"
🦙 LLAMA: A New Approach in AI Research – Open Source, Boundaries, and Political Bias
The development of LLAMA by Meta in collaboration with Microsoft has stirred up the AI world, raising serious questions about limitations and potential risks. LLAMA's openness is seen as revolutionary, but concerns also arise regarding political bias in AI language models. Let's delve into various aspects of LLAMA, what 'Open Source' truly entails, and political bias (#biasedAI), which is hard to avoid in AI language models.
🌟 The Development of LLAMA
Meta's commitment to openness in AI research led to the development of LLAMA-2. The openness of this model has the potential to democratize AI research, but there are already trust issues and concerns sparked by the 'unintentional' leak of LLAMA-1 earlier this year.
📚 LLAMA in Research
LLAMA-2 and Other Large AI Models Source: 'Meta's Choice to Distribute LLaMA-2: Openness, Open Source, and the OpenLLaMA Project'
Summary: The article describes the openness of LLAMA-2 and the associated questions.
"Meta's choice to distribute LLaMA in such an unrestrained and permissive manner raises important questions."
Limitations: The openness of LLAMA could lead to misuse and uncontrolled dissemination, raising questions about security and ethics.
🔓 OpenLLaMA Project
Source: 'Meta's Choice to Distribute LLaMA-2: Openness, Open Source, and the OpenLLaMA Project'
Summary: The article highlights the role of open-source in shaping perceptions of AI and related regulatory debates.
"It also highlights the role that the rhetoric of openness plays in public and policy perceptions of AI and associated regulatory debates."
Limitations: Openness can lead to distorted perceptions of AI and complicate regulatory debates.
🚨 LLAMA-1 Leak
Source: 'Meta’s AI language model LLaMA leaked online, raising concerns about misuse'
Summary: The leak of Meta's AI language model LLAMA online has raised concerns about potential misuse.
"The leak of Meta’s AI language model LLaMA online has raised concerns about potential misuse."
Limitations: The openness of the model has made it susceptible to leaks, undermining the security and trustworthiness of the project.
🧭 Political Bias in AI Language Models
Source: 'AI language models are rife with political biases'
Summary: The article sheds light on the political bias present in AI language models, including LLAMA.
"The biases in these models could be a significant barrier to their safe and fair deployment."
Limitations: Bias in AI models could hinder their safe and fair implementation, posing an additional challenge for Open Source.
🏥 DoctorGPT and the Community
Source: DoctorGPT on GitHub
Summary: DoctorGPT serves as an example of community-driven usage of LLAMA, highlighting the significance of open-source in AI research.
"This project showcases the power of open-source AI models like LLAMA."
Limitations: Community-driven usage needs to be carefully monitored to prevent misuse and ethical violations.
🕸️ Scaling: LLAMA Goes Viral (State of LLAMA 2023)
https://book.gist.rs/ml/llama.html
Fazit:
The development of LLAMA by Meta has shifted AI research in a new direction, but LLAMA's open-source approach (check out the LLAMA resources) is not without challenges. The potential risks, ethical concerns, political bias, and the uncontrollable scaling and replication inherent to openness must be carefully weighed and consciously monitored.
The AI community, businesses, and regulatory bodies need to collaborate to ensure that LLAMA's innovations do not come at the expense of safety, fairness, and responsibility. 🦙
Why it’s impossible to build an unbiased AI language model?
https://www.technologyreview.com/2023/08/08/1077403/why-its-impossible-to-build-an-unbiased-ai-language-model/
A recently published article in the MIT Technology Review sheds new light on the challenges and complexities in the development of AI language models. Journalist Melissa Heikkilä presents an in-depth analysis of the subject.
🎯 Key Points of the Article:
Inevitability of Bias: 🧩
The study shows that bias can emerge in almost every stage of model development, and there are no straightforward technical solutions for this complex social challenge.
Trust and Responsibility: ⚖️
The danger of people trusting computers even when they are wrong is highlighted. This raises serious questions about the responsibility of developers and the industry.
The Double-Edged Sword of Personalization: 🎭
The ability to personalize AI models is seen as both an opportunity and a risk.
💡 Why Is This Important?
The rapid development of AI language models is a challenging topic that brings both technological and ethical issues. The article calls on us to take ethics and responsibility in AI development seriously and to honestly confront the inherent biases - #biases.
💭 Closing Thoughts: Uniting Forces for the Future
The journey towards AGI 🚀 is a collective endeavor that involves pioneers, researchers, regulatory authorities, and society as a whole. The multitude of topics addressed in these sources underscores the complexity and multifaceted nature of the AI revolution. From considerations to impacts and politics, dealing with impending AGI challenges us to collaboratively shape a responsible future.
While AGI may be born in AI labs, its effects will soon reverberate across the entire world. We will all soon be using one or more personalized digital assistants. AI offers convenience.
The likelihood is high that, especially given the substantial competencies of empathy, patience, and adaptability that generative AI is capable of, we will also start forming personal attachments to our assistants.
So, let's be mindful - and stay curious! And let's steer this transformative technology wisely, so it aligns with our values and needs.
Thank you for your time and your interest in my contribution.
May our enthusiasm for innovation contribute to creating a world where technology and humanity coexist in harmony. 🌟 #digitalhumanism
Stay inspired 🪄
Sabine also known as Antiphonia, the Changeling Singer💃🏻
"Technology is nothing. What’s important is that you have faith in people..." - Steve Jobs 💎
Let's translate the complexity of technology into tangible human values.
"Simplicity is the highest form of Sophistication." - Leonardo da Vinci 🎨
about Sabine:
For those who have made it this far 🤗, you might be curious to know more about me. I'm excited to provide you with a brief wrap-up of myself:
Sophisticated Simplicity: As the founder of Sophisticated Simplicity, Austria's first Business Consulting Agency for Digital Ethics, my mission is to translate data and AI into human values. Our trademark, CUI BONO AI, stands for ethical business development, sustainable digital strategies for data and AI projects, and value-based 💎 stakeholder communication.
Our motto: "Simplicity is the highest form of Sophistication." 🌟
Our core competencies:
Digital Value Creation: We generate genuine value through the ethical utilization of data and AI.
Value-Based Business Modeling: Our approach to business strategies and Use Case Development is founded on ISO 24748:7000 Value-Based Engineering, adapted to value-based business modeling. Learn more.
Value-Based Leadership Coaching: We educate leaders in ethical decision-making within the digital realm.
Value-Based Stakeholder Communication: We establish trust and transparency, translating their IT innovation into tangible added value.
The European Data Space: A Beacon Project We place special emphasis on European data space projects. Here, you can discover how these projects form the foundation for sustainable EU-compliant digital strategies.
A Manifesto for Digital Humanism: As a supporter of the Vienna Manifesto for Digital Humanism, I firmly believe in a future where technology and humanity go hand in hand. Read the manifesto and find inspiration.
Women in Technology: A Matter of the Heart. As an ambassador for #WomeninICT and #WomeninAI, I am passionately dedicated to empowering women in the technology industry. Together, we can shape a fairer and more diverse future.
A Glimpse into the Future: With over 20 years of experience as a business developer for IT innovations, I have witnessed the digital transformation firsthand. The future belongs to those who are willing to continually evolve and utilize the opportunities of technology ethically and responsibly.
Closing Thoughts: In a world where AI is becoming increasingly present, it is essential that we remain true to our values. I invite you to join me in working towards a future where technology and ethics go hand in hand, for the benefit of all.
Warm regards,
Sabine Singer, Tyrolean Handshake 🤝 Quality
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PS: If you wish to stay updated on AI matters and are interested in discussing valuable applications together, follow our Digital Ethics Think Tank on LinkedIn!
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