Can we give OpenAI's Strawberry Q* context?
A compelling David vs Goliath narrative is unfolding. OpenAI, a tech giant with vast resources, stands on one side with its ambitious Strawberry & Q* Q-Learning projects.
On the other, SHE ZenAI, a nimble two-person team with circa 150,000 hours of experience, is making waves with their innovative Omega Q* algorithm. This blog post examines the contrasting approaches that are influencing AI's future, demonstrating that focused innovation can compete with extensive resources.
The AI Landscape: David vs Goliath
OpenAI: The Goliath
Large, well-funded organisation
Hundreds of researchers and extensive resources
US Tech
100m+ User base and Community
Pursuing ambitious, broad goals like AGI
Projects: Q* and now Strawberry
SHE ZenAI: The David
Two-person core team by design
Internally funded to date
Limited resources but coded through efficiency
Focused on specialised, immediate AI applications
Project: Omega* model-less core with the Q* decision making algorithm
A Feature Comparison Table
This table offers a side-by-side comparison between the features and approaches of OpenAI’s Q* and Strawberry projects versus SHE ZenAI Omega* Q*.
Feature | OpenAI Strawberry Q* | SHE ZenAI Omega* & Q* |
Primary Goal | Achieve Artificial General Intelligence (AGI) | Enhance specialised AI applications |
Key Focus Areas | Autonomous research, Internet navigation, Complex problem-solving | Precise decision-making, Ethical AI, User-centric design |
Technological Approach | Novel neural network architectures, Advanced reinforcement learning | Hybrid learning, Game theory, Quantifier algorithms |
Ethical Considerations | Developing safe and beneficial AGI | Built-in ethical framework, Privacy-focused |
Current Applications | Theoretical research, Potential for broad economic impact | Healthcare, Finance, Cybersecurity, Personalised AI |
Development Stage | Highly experimental, Details largely confidential | Operational testing in specific domains |
Scalability | Potentially unlimited, aiming for human-level intelligence | Highly scalable within targeted domains |
Key Strengths | Potential for breakthrough in AGI, Autonomous capabilities | Precision in decision-making, Strong ethical grounding |
Challenges | Safety concerns, Ethical implications of AGI | Limited to specialised applications, May not achieve AGI |
Market Impact | Will revolutionise multiple industries | Immediate impact in specific sectors |
Deployment Model | Centralised, requires internet connection | Lightweight, suitable for mobile/robot OS, can function offline |
Flexibility | LLM-centric approach with extensions | Utilises various AI models (LLM, RNN, VLM, etc.) as needed |
Proximity to Client | Remote processing, potential latency | “Closer to the client”, enabling faster response times |
A More In-Depth Analysis
1. Primary Goals and Focus Areas
OpenAI's Strawberry Q*
OpenAI aims to achieve Artificial General Intelligence (AGI) with these projects. While details are limited, Q* reportedly targets human-level reasoning across various tasks, while Strawberry focuses on autonomous internet navigation and deep research capabilities.
SHE ZenAI Omega* & Q*
This algorithm takes a specialised approach, enhancing AI applications in specific domains. It aims to deliver highly accurate, ethical, and user-centric AI solutions for industries like healthcare, finance, and cybersecurity.
2. Technological Approach
OpenAI's Strawberry Q*
These projects likely utilise cutting-edge neural network architectures and advanced reinforcement learning. Q* is rumoured to combine symbolic AI methods with deep learning, potentially bridging the gap between narrow AI and AGI.
SHE ZenAI Omega* & Q*
This system employs a hybrid learning approach, combining imitation learning, reinforcement learning, and novel quantifier algorithms. It integrates game theory and regret minimization techniques to enhance decision-making processes.
3. Ethical Considerations
OpenAI's Strawberry Q*
OpenAI emphasises developing safe and beneficial AGI. However, creating human-level AI raises significant ethical concerns about control, accountability, and potential misuse.
SHE ZenAI Omega* & Q*
This system incorporates a robust ethical framework directly into its decision-making processes. It prioritises user privacy and provides transparent decision justification.
4. Market Impact and Future Implications
OpenAI Strawberry Q*
If successful, these projects could revolutionise multiple industries with AI systems capable of complex reasoning and autonomous research. However, the timeline and probability of achieving AGI remain uncertain.
SHE ZenAI Omega* Q*
While not aiming for AGI, Omega* offers immediate value in specialised applications such as healthcare, finance, and cybersecurity. Its strong emphasis on ethics and user-centric design makes it particularly attractive in sectors where trust and user experience are critical. The quantifier algorithm’s ability to perform binary quantification and resolve decisions with high precision provides a unique advantage, ensuring reliability and certainty in decision-making.
5. Deployment Model and Proximity to Client
OpenAI Strawberry Q*
These are primarily centralised, cloud-based solutions requiring constant internet connection. While allowing for immense processing power, this can lead to latency issues and network dependency.
SHE ZenAI Omega* Q*
Designed as a lightweight, versatile system suitable for mobile devices and robotics operating systems. It can function offline and doesn't solely rely on internet connectivity for processing power. This "closer to the client" approach allows for faster response times and greater deployment flexibility.
The Power of Focused Innovation
Design By Zen demonstrates the power of focused innovation based on unrepeatable Founder experience:
Agility: Quick to adapt based on new insights or market needs.
Specialisation: Deep expertise in specific domains.
Efficiency: Optimised algorithms and deployment strategies.
User-Centric Approach: Keen understanding of real-world AI application needs.
Ethical Focus: Strong ethical considerations embedded throughout the system.
Conclusion
This comparison between OpenAI's Strawberry & Q*projects and SHE ZenAI's Omega* Q* algorithm highlights two distinct approaches to advancing AI technology.
OpenAI's pursuit of AGI for Profit and global AI domination with parent Microsoft represents a goal that is fundamentally change our relationship with technology. Given the recent global Microsoft core outage "by another not us, Gov" and data breaches of all Teams email in April what could go wrong?
In contrast, 1) SHE ZenAI's focused approach offers immediate, practical benefits unifying Health, Wealth and Connectivity domains, 2) with the added advantage of edge computing capabilities and versatility in AI model usage. 3) Decentralised operations 4) Personalised security and privacy 5) an Ethics first approach Day 1.
Both strategies have their merits and challenges. OpenAI's vast resources and broad approach lead to delivering a set of brilliant experimental advancements.
SHE ZenAI's specialised focus and agility allow for rapid innovation in targeted areas. The codes written. An example Use Cases is assisted dynamic realtime Anaesthesia monitoring using a clients wearable increase prediction by a frontline A & E practitioner from 80% to 98% accuracy is an example. Omega* predictive learning capabilities means less stress, better outcomes for the patient and A & E practitioners.
We contend the future of AI will likely be shaped by both approaches, with breakthroughs coming from unexpected places.
This David vs Goliath scenario in the AI world reminds us that in technology and AI, it's not always about the size of the team or the resources at hand but about the power of ideas and the efficiency of their execution.
As we look to the future of AI, it's clear that both large organisations and small, nimble teams will play crucial roles in shaping the landscape of artificial intelligence.
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Author Bio:
David W. Harvey, CEO of Design By Zen, merges 43 years of IT and high-tech design expertise with groundbreaking innovation. Inventor of the DBZ Comfort Index, Holistic Objectives algorithm, and the pioneering Social Harmony Ecosystem or Engine -SHE ZenAI architecture, David's work also includes the world's first intelligent earthquake table -EQ1. Holder of multiple international patents, his professional excellence parallels a fervent interest in exotic cars & simulation engineering. Off-screen, David finds balance in cultivating a Zen garden, reflecting his philosophy of harmony in technology and life through art.
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