Aigis

aigis

How Humanity Could Survive The Emergence of AGI

এজিআই-এর উত্থানে মানবতা কীভাবে বেঁচে থাকতে পারে

Wie die Menschheit die Entstehung künstlicher Intelligenz überleben könnte

Cómo podría la humanidad sobrevivir a la aparición de la IAG

Comment l'humanité pourrait survivre à l'émergence de l'IA générale

मानवता एजीआई के उद्भव से कैसे बच सकती है?

人類はAGIの出現をどう生き延びるか

인류가 AGI의 출현에서 살아남을 수 있는 방법

Como a humanidade poderia sobreviver ao surgimento da AGI

Как человечество может пережить появление AGI

İnsanlık Yapay Zekanın Ortaya Çıkışına Nasıl Dayanabilir?

Nhân loại có thể sống sót như thế nào khi AGI xuất hiện

人类如何在 AGI 出现后生存下来

Authors:
(1) Timothy R. McIntosh;
(2) Teo Susnjak;
(3) Tong Liu;
(4) Paul Watters;
(5) Malka N. Halgamuge. Table of Links Abstract and Introduction Background: Evolution of Generative AI The Current Generative AI Research Taxonomy Innovative Horizon of MOE Speculated Capabilities of Q* Projected Capabilities of AGI Impact Analysis on Generative AI Research Taxonomy Emergent Research Priorities in Generative AI Practical Implications and Limitations of Generative AI Technologies Impact of Generative AI on Preprints Across Disciplines Conclusions, Disclaimer, and References VIII. EMERGENT RESEARCH PRIORITIES IN GENERATIVE AI As we are likely to approach the precipice of a new era marked by the advent of Q*, nudging us closer to the realization of usable AGI, the research landscape in generative AI is undergoing a crucial transformation. A. Emergent Research Priorities in MoE The MoE domain is increasingly focusing on two critical areas: • Multimodal Models in Model Architecture: The integration of MoE and AGI is opening new pathways for research in multimodal models. These developments are enhancing the capability to process and synthesize information from multiple modalities, which is crucial for both specialized and generalized AI systems. • Multimodal Learning in Emerging Trends: MoE is at the forefront of multimodal learning, integrating diverse data types like text, images, and audio for specialized tasks. This trend is directly impacting the enhancement of the field. Furthermore, an analysis of funding trends and investment patterns in AI research could indicate a substantial shift towards areas like multimodal models in MoE. This trend, characterized by increased capital flow into fields involving complex data processing and autonomous systems, is shaping the direction of future research priorities. It underscores the growing interest and investment in the potential of generative AI, influencing both academic and industry-led initiatives. B. Emergent Research Priorities in Multimodality In the realm of multimodality, several areas are identified as emerging research priorities: • MoE in Model Architecture: MoE models are becoming increasingly relevant for handling diverse data types in multimodal contexts. • Transfer Learning in Training Techniques: Transfer learning is emerging as a key research direction, especially for learning between different modalities. • Conversational AI and Creative AI in Application Domains: Both conversational AI and creative AI are expanding in multimodal contexts, encompassing visual, auditory, and other sensory data integration. • Self-Supervised Learning in Advanced Learning: New research directions in self-supervised learning are emerging, focusing on the integration of various data types autonomously. Additionally, the rise of generative AI, particularly in multimodal contexts, can significantly impact educational curricula and skill development. There is a growing need to update academic programs to include comprehensive AI literacy, with a focus on multimodal AI technologies. This evolution in education is aimed at preparing future professionals to effectively engage with and leverage the advancements in AI, equipping them with the necessary skills to navigate its complexities and innovations. C. Emergent Research Priorities in AGI The AGI domain is witnessing a surge in research priorities across multiple areas: • Multimodal Models in Model Architecture: Similar to MoE, multimodal models are crucial in AGI, enabling deeper and more nuanced understanding. • Reinforcement Learning in Training Techniques: Emerging as a key area in AGI, reinforcement learning focuses on developing autonomous systems learning from their environment. • Application Domains: AGI is extending the boundaries of natural language understanding and generation, conversational AI, and creative AI, with a focus on human-like comprehension and creativity. • Bias Mitigation in Compliance and Ethical Considerations: New directions in bias mitigation are focusing on a comprehensive approach to addressing biases across diverse domains in AGI. • Meta-Learning in Advanced Learning: AGI’s pursuit of human-like adaptability is leading to novel research in meta-learning. • Emerging Trends: Multimodal learning, interactive and cooperative AI, and AGI containment strategies are becoming crucial research areas as AGI progresses. In line with these developments in AGI, a noticeable trend in AI research funding and investment patterns is evident. There is a significant inclination towards supporting projects and studies in AGI, particularly in areas such as natural language understanding and generation, and autonomous systems. This funding trend not only mirrors the escalating interest in the capabilities of AGI but also directs the trajectory of future research, shaping both academic exploration and industry driven projects. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Timothy R. McIntosh; (2) Teo Susnjak; (3) Tong Liu; (4) Paul Watters; (5) Malka N. Halgamuge. Authors: Authors: (1) Timothy R. McIntosh; (2) Teo Susnjak; (3) Tong Liu; (4) Paul Watters; (5) Malka N. Halgamuge. Table of Links Abstract and Introduction Abstract and Introduction Background: Evolution of Generative AI Background: Evolution of Generative AI The Current Generative AI Research Taxonomy The Current Generative AI Research Taxonomy Innovative Horizon of MOE Innovative Horizon of MOE Speculated Capabilities of Q* Speculated Capabilities of Q* Projected Capabilities of AGI Projected Capabilities of AGI Impact Analysis on Generative AI Research Taxonomy Impact Analysis on Generative AI Research Taxonomy Emergent Research Priorities in Generative AI Emergent Research Priorities in Generative AI Practical Implications and Limitations of Generative AI Technologies Practical Implications and Limitations of Generative AI Technologies Impact of Generative AI on Preprints Across Disciplines Impact of Generative AI on Preprints Across Disciplines Conclusions, Disclaimer, and References Conclusions, Disclaimer, and References VIII. EMERGENT RESEARCH PRIORITIES IN GENERATIVE AI As we are likely to approach the precipice of a new era marked by the advent of Q*, nudging us closer to the realization of usable AGI, the research landscape in generative AI is undergoing a crucial transformation. A. Emergent Research Priorities in MoE A. Emergent Research Priorities in MoE The MoE domain is increasingly focusing on two critical areas: • Multimodal Models in Model Architecture: The integration of MoE and AGI is opening new pathways for research in multimodal models. These developments are enhancing the capability to process and synthesize information from multiple modalities, which is crucial for both specialized and generalized AI systems. • Multimodal Models in Model Architecture: • Multimodal Learning in Emerging Trends: MoE is at the forefront of multimodal learning, integrating diverse data types like text, images, and audio for specialized tasks. This trend is directly impacting the enhancement of the field. • Multimodal Learning in Emerging Trends: Furthermore, an analysis of funding trends and investment patterns in AI research could indicate a substantial shift towards areas like multimodal models in MoE. This trend, characterized by increased capital flow into fields involving complex data processing and autonomous systems, is shaping the direction of future research priorities. It underscores the growing interest and investment in the potential of generative AI, influencing both academic and industry-led initiatives. B. Emergent Research Priorities in Multimodality B. Emergent Research Priorities in Multimodality In the realm of multimodality, several areas are identified as emerging research priorities: • MoE in Model Architecture: MoE models are becoming increasingly relevant for handling diverse data types in multimodal contexts. • MoE in Model Architecture: • Transfer Learning in Training Techniques: Transfer learning is emerging as a key research direction, especially for learning between different modalities. • Transfer Learning in Training Techniques: • Conversational AI and Creative AI in Application Domains: Both conversational AI and creative AI are expanding in multimodal contexts, encompassing visual, auditory, and other sensory data integration. • Conversational AI and Creative AI in Application Domains: • Self-Supervised Learning in Advanced Learning: New research directions in self-supervised learning are emerging, focusing on the integration of various data types autonomously. • Self-Supervised Learning in Advanced Learning: Additionally, the rise of generative AI, particularly in multimodal contexts, can significantly impact educational curricula and skill development. There is a growing need to update academic programs to include comprehensive AI literacy, with a focus on multimodal AI technologies. This evolution in education is aimed at preparing future professionals to effectively engage with and leverage the advancements in AI, equipping them with the necessary skills to navigate its complexities and innovations. C. Emergent Research Priorities in AGI C. Emergent Research Priorities in AGI The AGI domain is witnessing a surge in research priorities across multiple areas: • Multimodal Models in Model Architecture: Similar to MoE, multimodal models are crucial in AGI, enabling deeper and more nuanced understanding. • Multimodal Models in Model Architecture: • Reinforcement Learning in Training Techniques: Emerging as a key area in AGI, reinforcement learning focuses on developing autonomous systems learning from their environment. • Reinforcement Learning in Training Techniques: • Application Domains: AGI is extending the boundaries of natural language understanding and generation, conversational AI, and creative AI, with a focus on human-like comprehension and creativity. • Application Domains: • Bias Mitigation in Compliance and Ethical Considerations: New directions in bias mitigation are focusing on a comprehensive approach to addressing biases across diverse domains in AGI. • Bias Mitigation in Compliance and Ethical Considerations: • Meta-Learning in Advanced Learning: AGI’s pursuit of human-like adaptability is leading to novel research in meta-learning. • Meta-Learning in Advanced Learning: • Emerging Trends: Multimodal learning, interactive and cooperative AI, and AGI containment strategies are becoming crucial research areas as AGI progresses. • Emerging Trends: In line with these developments in AGI, a noticeable trend in AI research funding and investment patterns is evident. There is a significant inclination towards supporting projects and studies in AGI, particularly in areas such as natural language understanding and generation, and autonomous systems. This funding trend not only mirrors the escalating interest in the capabilities of AGI but also directs the trajectory of future research, shaping both academic exploration and industry driven projects. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. available on arxiv

Surveying the Evolution and Future Trajectory of Generative AI - Research Priorities in AI

Authors:
(1) Timothy R. McIntosh;
(2) Teo Susnjak;
(3) Tong Liu;
(4) Paul Watters;
(5) Malka N. Halgamuge. Table of Links Abstract and Introduction Background: Evolution of Generative AI The Current Generative AI Research Taxonomy Innovative Horizon of MOE Speculated Capabilities of Q* Projected Capabilities of AGI Impact Analysis on Generative AI Research Taxonomy Emergent Research Priorities in Generative AI Practical Implications and Limitations of Generative AI Technologies Impact of Generative AI on Preprints Across Disciplines Conclusions, Disclaimer, and References VI. PROJECTED CAPABILITIES OF AGI AGI stands as a transformative leap in AI, endeavoring to mirror human cognitive abilities in a software paradigm (Fig. 6). AGI’s evolution is marked by advanced self-learning capabilities, utilizing policy neural networks and sophisticated reinforcement learning techniques for autonomous adaptation. The integration of algorithms like Tree/Graph of Thought with these networks suggests a future where AGI can independently acquire and apply knowledge across diverse domains. A. Revolution in Autonomous Learning AGI is anticipated to revolutionize self-learning and exploration [282], [307], [283], [32]. By incorporating methods like PPO, AGI models are positioned to achieve a level of autonomous learning and problem-solving that exceeds the current AI models’ dependence on training data, indicating a potential paradigm shift towards reducing the need for frequent retraining and facilitating dynamic adaptation in response to evolving scenarios [181], [308]. B. Broadening of Cognitive Abilities Envisaged to integrate various architectures, AGI could promise a level of general intelligence that replicates the multifaceted nature of human cognition [282], [309]. The universal adapter approach, mirroring models like GPT and BERT, could facilitate rapid assimilation of diverse information, positioning AGI as a system capable of performing tasks across multiple domains with an adaptability akin to human intellect [282], [310]. While AGI’s full capabilities remain speculative, current trends suggest its potential application in advanced healthcare diagnostics, which is evidenced by recent breakthroughs in AIdriven predictive medicine models, indicating AGI’s potential to revolutionize medical diagnosis and treatment. C. Elevating Understanding and Interaction AGI is projected to achieve an unparalleled understanding of human language and socio-emotional subtleties, leveraging algorithms like those in transformer architectures, which would enable AGI to engage in complex, empathetic, and contextually aware interactions, suggesting potential applications that revolutionize how AI systems communicate and interact [282], [307], [311]. D. Advanced Common Sense Reasoning Symbolic AI and probabilistic reasoning, integrated into AGI, could imbue these systems with an innate grasp of common sense, to bridge the gap between artificial and natural intelligence, enabling AGI to navigate and respond effectively to real-world scenarios with reasoning aligned closely with human thought processes [282], [312], [313]. E. Holistic Integration of Knowledge AGI’s potential in integrating extensive real-world knowledge, guided by formal verification systems, hints at future capabilities where AGI’s outputs are not only accurate but ethically grounded, suggesting AGI’s ability for responsible interaction with real-world complexities [282], [311]. The projected capabilities of AGI extend to addressing significant global challenges, such as climate change, in which AGI’s advanced data analysis and predictive modeling can play a better and more crucial role in environmental monitoring, forecasting climate patterns, and devising sustainable solutions, contributing significantly to global ecological efforts [282], [283], [32]. F. Challenges and Opportunities in AGI Development The development of AGI encompasses both challenges and opportunities. While AGI promises productivity boosts in creative fields and innovations in cross-modal generation techniques, substantial challenges like data bias, computational efficiency, and ethical implications persist [15], [32]. These challenges necessitate a balanced approach in AGI development, focusing on data curation, efficient systems, and societal impacts [309]. In the context of AGI development, experts from various domains caution against overestimating current AI capabilities and highlight the gap between the theoretical framework of AGI and the practical realities of today’s AI [314], [32]. The envisioned autonomy and cognitive abilities of AGI separate it from current AI models, suggesting a future where AI systems could perform tasks across various domains without human intervention [282]. This development trajectory underscores the importance of ethical considerations and technological breakthroughs in AGI’s journey towards becoming a transformative force in society [15], [32]. While projecting the timeline for achieving true AGI remains speculative, recognizing potential roadblocks is crucial, such as the current limitations in computational power, and the complexity of replicating human-like cognitive abilities. These emphasize the need for sustained research and ethical considerations in the pursuit of AGI, ensuring responsible and conscientious development. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Timothy R. McIntosh; (2) Teo Susnjak; (3) Tong Liu; (4) Paul Watters; (5) Malka N. Halgamuge. Authors: Authors: (1) Timothy R. McIntosh; (2) Teo Susnjak; (3) Tong Liu; (4) Paul Watters; (5) Malka N. Halgamuge. Table of Links Abstract and Introduction Abstract and Introduction Background: Evolution of Generative AI Background: Evolution of Generative AI The Current Generative AI Research Taxonomy The Current Generative AI Research Taxonomy Innovative Horizon of MOE Innovative Horizon of MOE Speculated Capabilities of Q* Speculated Capabilities of Q* Projected Capabilities of AGI Projected Capabilities of AGI Impact Analysis on Generative AI Research Taxonomy Impact Analysis on Generative AI Research Taxonomy Emergent Research Priorities in Generative AI Emergent Research Priorities in Generative AI Practical Implications and Limitations of Generative AI Technologies Practical Implications and Limitations of Generative AI Technologies Impact of Generative AI on Preprints Across Disciplines Impact of Generative AI on Preprints Across Disciplines Conclusions, Disclaimer, and References Conclusions, Disclaimer, and References VI. PROJECTED CAPABILITIES OF AGI AGI stands as a transformative leap in AI, endeavoring to mirror human cognitive abilities in a software paradigm (Fig. 6). AGI’s evolution is marked by advanced self-learning capabilities, utilizing policy neural networks and sophisticated reinforcement learning techniques for autonomous adaptation. The integration of algorithms like Tree/Graph of Thought with these networks suggests a future where AGI can independently acquire and apply knowledge across diverse domains. A. Revolution in Autonomous Learning A. Revolution in Autonomous Learning AGI is anticipated to revolutionize self-learning and exploration [282], [307], [283], [32]. By incorporating methods like PPO, AGI models are positioned to achieve a level of autonomous learning and problem-solving that exceeds the current AI models’ dependence on training data, indicating a potential paradigm shift towards reducing the need for frequent retraining and facilitating dynamic adaptation in response to evolving scenarios [181], [308]. B. Broadening of Cognitive Abilities B. Broadening of Cognitive Abilities Envisaged to integrate various architectures, AGI could promise a level of general intelligence that replicates the multifaceted nature of human cognition [282], [309]. The universal adapter approach, mirroring models like GPT and BERT, could facilitate rapid assimilation of diverse information, positioning AGI as a system capable of performing tasks across multiple domains with an adaptability akin to human intellect [282], [310]. While AGI’s full capabilities remain speculative, current trends suggest its potential application in advanced healthcare diagnostics, which is evidenced by recent breakthroughs in AIdriven predictive medicine models, indicating AGI’s potential to revolutionize medical diagnosis and treatment. C. Elevating Understanding and Interaction C. Elevating Understanding and Interaction AGI is projected to achieve an unparalleled understanding of human language and socio-emotional subtleties, leveraging algorithms like those in transformer architectures, which would enable AGI to engage in complex, empathetic, and contextually aware interactions, suggesting potential applications that revolutionize how AI systems communicate and interact [282], [307], [311]. D. Advanced Common Sense Reasoning D. Advanced Common Sense Reasoning Symbolic AI and probabilistic reasoning, integrated into AGI, could imbue these systems with an innate grasp of common sense, to bridge the gap between artificial and natural intelligence, enabling AGI to navigate and respond effectively to real-world scenarios with reasoning aligned closely with human thought processes [282], [312], [313]. E. Holistic Integration of Knowledge E. Holistic Integration of Knowledge AGI’s potential in integrating extensive real-world knowledge, guided by formal verification systems, hints at future capabilities where AGI’s outputs are not only accurate but ethically grounded, suggesting AGI’s ability for responsible interaction with real-world complexities [282], [311]. The projected capabilities of AGI extend to addressing significant global challenges, such as climate change, in which AGI’s advanced data analysis and predictive modeling can play a better and more crucial role in environmental monitoring, forecasting climate patterns, and devising sustainable solutions, contributing significantly to global ecological efforts [282], [283], [32]. F. Challenges and Opportunities in AGI Development F. Challenges and Opportunities in AGI Development The development of AGI encompasses both challenges and opportunities. While AGI promises productivity boosts in creative fields and innovations in cross-modal generation techniques, substantial challenges like data bias, computational efficiency, and ethical implications persist [15], [32]. These challenges necessitate a balanced approach in AGI development, focusing on data curation, efficient systems, and societal impacts [309]. In the context of AGI development, experts from various domains caution against overestimating current AI capabilities and highlight the gap between the theoretical framework of AGI and the practical realities of today’s AI [314], [32]. The envisioned autonomy and cognitive abilities of AGI separate it from current AI models, suggesting a future where AI systems could perform tasks across various domains without human intervention [282]. This development trajectory underscores the importance of ethical considerations and technological breakthroughs in AGI’s journey towards becoming a transformative force in society [15], [32]. While projecting the timeline for achieving true AGI remains speculative, recognizing potential roadblocks is crucial, such as the current limitations in computational power, and the complexity of replicating human-like cognitive abilities. These emphasize the need for sustained research and ethical considerations in the pursuit of AGI, ensuring responsible and conscientious development. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. available on arxiv

Surveying the Evolution and Future Trajectory of Generative AI - Projected Capabilities of AGI

Beverly Hills, CA - October 8, 2024 - HackerNoon, the independent technology publishing platform, is pleased to announce the nominees for its annual “Startups of The Year” award, featuring the most promising and innovative companies in the
Beverly Hills startup ecosystem. The list, compiled by the HackerNoon team, showcases 30 startups making significant contributions to the Beverly Hills economy and driving innovation in their respective industries. https://youtu.be/XOpG6B4AKPU?embedable=true Nominations are open - learn more here. You can nominate your company as the Startup of The Year in Beverly Hills here. The Startups in Beverly Hills nominated for Startups of The Year 2024 include: AirMoney
Zeal Educators
Primilink
Startup CPG
Pixee — automated product security engineer
Partywave
Founders Village
Ciel Creative Space
Onsemble
INDUX Global, Inc.
Nuron.IO
Aegis Life, Inc.
NewBuild Venture Capital
Archer
Ephanti Inc
Cobi Computer Science
BridgeDoc
Sky Credit Enterprise
Gamefam
FOCA U.S.
Ponto
Galvanize Climate Solutions
Lightup Data
StartupOS
Playbuilt
DepoDirect
Gatsby
dFarm
Xceltronics
Eva “We are thrilled to recognize the top startups in Beverly Hills and celebrate their achievements,” said David Smooke, HackerNoon Founder & CEO. “Starting and sustaining a company is difficult. We’re honored to showcase their work and impact.” Why It Pays Off to Be Nominated Startups of The Year 2024 is a 100% community-driven voting event recognizing startups transforming technology and the world for the better. Starting October 1st, 2024, the internet can nominate and vote for the best ventures in their city and industry. People can nominate their favorite startups until October 31st, and vote once per day per award for who they think should be Startup of The Year up to March 31st, 2025. Winners will be announced in April 2025, after a comprehensive evaluation by the HackerNoon team. Apart from validation from the world's greenest tech publication, all nominees get free interviews relevant to their region and industry. They will also receive curated startup-friendly packages and a free version of their very own Evergreen Tech Company News Page on HackerNoon. In sum, being nominated gives you major credibility as one of the top startups globally and an expert in your industry, meaning even without winning, you still gain tons of exposure. Nominations are open - learn more here. You can nominate your company as the Startup of The Year in Beverly Hills here. About HackerNoon’s Startups of The Year Startups of The Year 2024 is HackerNoon’s flagship community-driven event celebrating startups, technology, and the spirit of innovation. Currently in its third iteration, the prestigious Internet award recognizes and celebrates tech startups of all shapes and sizes. This year, over 150,000 entities across 4200+ cities, 6 continents, and 100+ industries will participate in a bid to be crowned the best startup of the year! Millions of votes have been cast over the past few years, and many stories have been written about these daring and rising startups. The winners will get a free interview on HackerNoon and an Evergreen Tech Company News page. Visit our FAQ page to learn more. Download our design assets here. Check out the Startups of The Year Merch Shop here. HackerNoon’s Startups of The Year is a branding opportunity unlike any other. Whether your goal is brand awareness or lead generation, HackerNoon has curated startup-friendly packages to solve your marketing challenges. Meet our sponsors: Wellfound: Join the #1 global, startup-focused community. At Wellfound, we're not just a job board—we're the place where top startup talent and the world's most exciting companies connect to build the future. Notion: Notion is trusted and loved by thousands of startups as their connected workspace—from building product roadmaps to tracking fundraising. Try Notion with unlimited AI, FREE for up to 6 months, to build and scale your company with one powerful tool. Get your offer now! Hubspot: If you’re looking for a smart CRM platform that meets the needs of small businesses, look no further than HubSpot. Seamlessly connect your data, teams and customers in one easy-to-use scalable platform that grows with your business. Get started for free. Bright Data: Startups that leverage public web data can make faster, data-driven decisions, giving them a competitive edge. With Bright Data’s scalable web data collection, businesses can grow from a small operation to an enterprise by harnessing insights at every stage. Algolia: Algolia NeuralSearch is the world's only AI end-to-end Search and Discovery Platform combining powerful keyword and natural language processing in a single API. Beverly Hills, CA - October 8, 2024 - HackerNoon, the independent technology publishing platform, is pleased to announce the nominees for its annual “Startups of The Year” award, featuring the most promising and innovative companies in the Beverly Hills startup ecosystem. Beverly Hills, CA - October 8, 2024 - HackerNoon, the independent technology publishing platform, is pleased to announce the nominees for its annual “Startups of The Year” award, featuring the most promising and innovative companies in the Beverly Hills , CA Beverly Hills - October 8, 2024 - HackerNoon, the independent technology publishing platform, is pleased to announce the nominees for its annual “ Startups of The Year ” award, featuring the most promising and innovative companies in the Startups of The Year Beverly Hills startup ecosystem. startup ecosystem. The list, compiled by the HackerNoon team, showcases 30 startups making significant contributions to the Beverly Hills economy and driving innovation in their respective industries. https://youtu.be/XOpG6B4AKPU?embedable=true https://youtu.be/XOpG6B4AKPU?embedable=true Nominations are open - learn more here. You can nominate your company as the Startup of The Year in Beverly Hills here. Nominations are open - learn more here . You can nominate your company as the Startup of The Year in Beverly Hills here . here Startup of The Year in Startup of The Year in Beverly Hills here here The Startups in Beverly Hills nominated for Startups of The Year 2024 include: Startups in Startups in Startups in Beverly Hills nominated AirMoney Zeal Educators Primilink Startup CPG Pixee — automated product security engineer Partywave Founders Village Ciel Creative Space Onsemble INDUX Global, Inc. Nuron.IO Aegis Life, Inc. NewBuild Venture Capital Archer Ephanti Inc Cobi Computer Science BridgeDoc Sky Credit Enterprise Gamefam FOCA U.S. Ponto Galvanize Climate Solutions Lightup Data StartupOS Playbuilt DepoDirect Gatsby dFarm Xceltronics Eva AirMoney Zeal Educators Primilink Startup CPG Pixee — automated product security engineer Partywave Founders Village Ciel Creative Space Onsemble INDUX Global, Inc. Nuron.IO Aegis Life, Inc. NewBuild Venture Capital Archer Ephanti Inc Cobi Computer Science BridgeDoc Sky Credit Enterprise Gamefam FOCA U.S. Ponto Galvanize Climate Solutions Lightup Data StartupOS Playbuilt DepoDirect Gatsby dFarm Xceltronics Eva “We are thrilled to recognize the top startups in Beverly Hills and celebrate their achievements,” said David Smooke, HackerNoon Founder & CEO. “Starting and sustaining a company is difficult. We’re honored to showcase their work and impact.” “We are thrilled to recognize the top startups in Beverly Hills and celebrate their achievements,” said David Smooke, HackerNoon Founder & CEO. “Starting and sustaining a company is difficult. We’re honored to showcase their work and impact.” “We are thrilled to recognize the top startups in Beverly Hills and celebrate their achievements,” said David Smooke, HackerNoon Founder & CEO . “Starting and sustaining a company is difficult. We’re honored to showcase their work and impact.” David Smooke, HackerNoon Founder & CEO Why It Pays Off to Be Nominated Startups of The Year 2024 is a 100% community-driven voting event recognizing startups transforming technology and the world for the better. Starting October 1st, 2024, the internet can nominate and vote for the best ventures in their city and industry. People can nominate their favorite startups until October 31st , and vote once per day per award for who they think should be Startup of The Year up to March 31st, 2025. Winners will be announced in April 2025, after a comprehensive evaluation by the HackerNoon team. Startups of The Year 2024 nominate their favorite startups until October 31st nominate their favorite startups Apart from validation from the world's greenest tech publication, all nominees get free interviews relevant to their region and industry. They will also receive curated startup-friendly packages and a free version of their very own Evergreen Tech Company News Page on HackerNoon. get free interviews startup-friendly packages startup-friendly packages Evergreen Tech Company News Evergreen Tech Company News In sum, being nominated gives you major credibility as one of the top startups globally and an expert in your industry, meaning even without winning, you still gain tons of exposure. Nominations are open - learn more here. You can nominate your company as the Startup of The Year in Beverly Hills here. Nominations are open - learn more here . You can nominate your company as the Startup of The Year in Beverly Hills here . here Startup of The Year in Startup of The Year in Beverly Hills here here About HackerNoon’s Startups of The Year Startups of The Year 2024 is HackerNoon’s flagship community-driven event celebrating startups, technology, and the spirit of innovation. Currently in its third iteration, the prestigious Internet award recognizes and celebrates tech startups of all shapes and sizes. This year, over 150,000 entities across 4200+ cities, 6 continents, and 100+ industries will participate in a bid to be crowned the best startup of the year! Millions of votes have been cast over the past few years, and many stories have been written about these daring and rising startups. Startups of The Year 2024 Startups of The Year 2024 many stories many stories The winners will get a free interview on HackerNoon and an Evergreen Tech Company News page. free interview on HackerNoon Evergreen Tech Company News Evergreen Tech Company News Visit our FAQ page to learn more. FAQ FAQ Download our design assets here . here here Check out the Startups of The Year Merch Shop here . here here HackerNoon’s Startups of The Year is a branding opportunity unlike any other. Whether your goal is brand awareness or lead generation, HackerNoon has curated startup-friendly packages to solve your marketing challenges. startup-friendly packages startup-friendly packages Meet our sponsors: Meet our sponsors: Meet our sponsors: Wellfound: Join the #1 global, startup-focused community . At Wellfound, we're not just a job board—we're the place where top startup talent and the world's most exciting companies connect to build the future. Wellfound: Join the #1 global, startup-focused community Join the #1 global, startup-focused community Notion: Notion is trusted and loved by thousands of startups as their connected workspace—from building product roadmaps to tracking fundraising. Try Notion with unlimited AI, FREE for up to 6 months , to build and scale your company with one powerful tool. Get your offer now ! Notion: Try Notion with unlimited AI, FREE for up to 6 months Get your offer now ! Hubspot: If you’re looking for a smart CRM platform that meets the needs of small businesses, look no further than HubSpot. Seamlessly connect your data, teams and customers in one easy-to-use scalable platform that grows with your business. Get started for free . Hubspot: Get started for free Get started for free Bright Data: Startups that leverage public web data can make faster, data-driven decisions, giving them a competitive edge. With Bright Data’s scalable web data collection , businesses can grow from a small operation to an enterprise by harnessing insights at every stage. Bright Data: Bright Data’s scalable web data collection Bright Data’s scalable web data collection Algolia: Algolia NeuralSearch is the world's only AI end-to-end Search and Discovery Platform combining powerful keyword and natural language processing in a single API. Algolia: AI end-to-end Search and Discovery Platform AI end-to-end Search and Discovery Platform

Startups of The Year 2024: 1,658 Startups Nominated in Beverly Hills, CA

Startapi godine 2024.: 1.658 startupa nominiranih na Beverly Hillsu, Kalifornija

Startupy roku 2024: 1 658 nominovaných startupů v Beverly Hills, CA

Startups del año 2024: 1.658 startups nominadas en Beverly Hills, CA

סטארטאפים של השנה 2024: 1,658 סטארטאפים מועמדים בבוורלי הילס, קליפורניה

स्टार्टअप्स ऑफ द ईयर 2024: बेवर्ली हिल्स, CA में 1,658 स्टार्टअप नामांकित

2024 年のスタートアップ オブ ザ イヤー: カリフォルニア州ビバリーヒルズで 1,658 社のスタートアップがノミネート

წლის სტარტაპები 2024: 1658 სტარტაპი ნომინირებულია ბევერლი ჰილზში, კალიფორნია

Startups van het jaar 2024: 1.658 startups genomineerd in Beverly Hills, CA

Intangiriro yumwaka 2024: 1.658 Gutangira Yatowe muri Beverly Hills, CA.

Стартапҳои сол 2024: 1,658 стартапҳо дар Беверли Ҳиллз, Калифорния пешбарӣ шудаанд

2024 年度初创企业：加利福尼亚州比佛利山庄有 1,658 家初创企业获得提名

Elon Musk v OpenAI, Court Filing, retrieved on April 30, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part of this filing here. This part is 22 of 29. COUNT X: FALSE ADVERTISING UNDER THE LANHAM ACT, 15 U.S.C. § 1125(a)(1)(B) (Against Altman, Brockman, and OpenAI, Inc.) 280. Plaintiff re-alleges and incorporates by reference paragraphs 1 through 279 inclusive, as though fully set forth herein. 281. Altman and Brockman induced an unwitting Musk to co-found their spurious non-profit, OpenAI, Inc. They then exploited Musk’s stature and reputation to elicit public trust and support for the non-profit, recruit top AI scientists and engineers, and solicit financial contributions from third parties through knowingly false marketing and promotion of the non-profit, harming Musk’s business interests and reputation. 282. Musk is well-known for his commitment to open technology—e.g., Tesla and SpaceX generally do not hold and/or do not enforce patents for their technology, which is free for the public to use. 283. Altman and Brockman, in their individual capacities and on behalf of OpenAI, Inc., harnessed Musk’s business reputation by among other things, making Musk co-chair of the Board, using his track record to recruit top talent, and promoting his name and involvement on OpenAI, Inc.’s website and other marketing of OpenAI, Inc. 284. Defendants in their marketing, advertisements, and promotions made knowingly false and/or misleading representations to the public that OpenAI, Inc. would be a non-profit whose mission is to develop safe and opensource AI/AGI technology for the public good, not private gain. 285. Commencing on December 11, 2015 and continuing to today, OpenAI, Inc.’s website represented that “OpenAI’s co-chairs are Sam Altman and Elon Musk” and that: • “OpenAI is a non-profit artificial intelligence research company [whose] goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return. Since our research is free from financial obligations, we can better focus on a positive human impact.” • “We believe AI should be an extension of individual human will and, in the spirit of liberty, as broadly and evenly distributed as possible.” • “Because of AI’s surprising history, it’s hard to predict when human-level AI might come within reach. When it does, it’ll be important to have a leading research institution which can prioritize a good outcome for all over its own self-interest.” • “As a non-profit, our aim is to build value for everyone rather than shareholders.” • “Our primary fiduciary duty is to humanity. We anticipate needing to marshal substantial resources to fulfill our mission, but will always diligently act to minimize conflicts of interest among our employees and stakeholders that could compromise broad benefit.” • “Researchers will be strongly encouraged to publish their work, whether as papers, blog posts, or code, and our patents (if any) will be shared with the world.” • “Our mission is to ensure that [AGI] benefits all humanity, primarily by attempting to build safe AGI and share the benefits with the world.” 286. OpenAI, Inc.’s Charter, posted on its website, claims: “We commit to use any influence we obtain over AGI’s deployment to ensure it is used for the benefit of all, and to avoid enabling uses of AI or AGI that harm humanity or unduly concentrate power. Our primary fiduciary duty is to humanity.” 287. Even in marketing OpenAI, L.P., on March 11, 2019, Defendants claimed: “The General Partner’s duty to this mission and the principles advanced in the OpenAI Inc. Charter take precedence over any obligation to generate a profit.” OpenAI, Inc.’s website stated: “We’ve designed OpenAI LP [sic] to put our overall mission—ensuring the creation and adoption of safe and beneficial AGI—ahead of generating returns for investors. . . . Regardless of how the world evolves, we are committed—legally and personally—to our mission.” 288. Altman and Brockman made these material, false, and misleading representations of fact about the nature, characteristics, and qualities of Defendants’ products and services in commercial advertising or promotion in interstate commerce, namely, OpenAI, Inc.’s website, online marketing, online blog posts, and Defendants’ social media. 289. These false and misleading statements have deceived and/or are likely to deceive a substantial segment of the public. 290. Defendants’ false and misleading claims are material because they are likely to induce the relevant public to make financial and/or other contributions, including the rendering of services (like the top scientists they recruited) to OpenAI, Inc. in the belief they are supporting an open-source, not-for-profit AI/AGI research foundation, when in fact, they are providing capital, support, and/or services to what is covertly a thoroughly commercial enterprise. 291. Defendants’ conduct constitutes false advertising and unfair competition in violation of Section 43(a) of the Lanham Act, 15 U.S.C. § 1125(a)(1)(B). 292. Defendants’ deceptive conduct and false and misleading claims have injured and will continue to injure Musk’s valuable business reputation and commercial interests. Defendants intentionally concealed their wrongful conduct, which prevented Musk from discovering their scheme, notwithstanding his exercise of due diligence. 293. As a prominent and well-respected tech figure, Musk’s name and reputation served to attract top-tier AI scientists and engineers to OpenAI, Inc. Indeed, it was Musk’s reputation and track record which served to recruit OpenAI, Inc.’s prominent Chief Scientist, Dr. Sutskever away from Google. But as alleged hereinabove, numerous key executives at OpenAI, Inc., including Dr. Sutskever, are now resigning from the supposed non-profit due to Defendants’ conflicted pursuit of profits over safety. 294. Defendants’ misrepresentations, by affiliation, have harmed, and will continue to harm Musk’s professional standing and commercial interests particularly in the AI/tech industry, eroding his ability to recruit leading AI scientists and engineers, as he had done for Defendants. Such harm is particularly acute in the field of AI, where the recruitment of a very limited pool of top scientists and engineers is fiercely competitive and pivotal to success. 295. As a direct and proximate result of Altman, Brockman, and OpenAI, Inc.’s conduct, acts, and omissions alleged hereinabove, Musk is entitled to recover the damages he sustained and will sustain, including any income, gains, compensation, profits, and advantages obtained, received, or to be received by Defendants, or any of them, arising from their wrongful conduct, including prejudgment interest. Musk is entitled to an order requiring Defendants, jointly and severally, to render an accounting to ascertain the amount of such proceeds. 296. As a direct and proximate result of Defendants’ wrongful conduct, acts, and omissions alleged hereinabove, Musk has been damaged, and Defendants have been and will continue to be unjustly enriched, in an amount that shall be assessed at trial, and for which restitution and/or non-restitutionary disgorgement is appropriate. Such should include the imposition of a constructive trust; a declaration by this Court that Defendants are jointly and severally the constructive trustee(s) for the benefit of Musk; and an order that Defendants convey to Musk all of the profits, assets, property, and ill-gotten gains received or to be received by Defendants, which are traceable to Musk’s wrongfully acquired financial and other contributions to OpenAI, Inc. 297. Unless enjoined by this Court pursuant to 15 U.S.C. § 1116, Defendants will continue to mislead the public and cause harm to Musk. Musk is entitled to an injunction during the pendency of this action, and permanently enjoining Defendants, their officers, agents, and employees, and all persons acting in concert with them, from engaging in such further acts. 298. Defendants’ false and misleading claims are deliberate, willful, fraudulent, and without extenuating circumstances. Defendants’ conduct is thus an “exceptional case” within the meaning of section 35(a) of the Lanham Act, 15 U.S.C. § 1117(a). Musk is therefore entitled to recover three times the amount of his actual damages and his attorneys’ fees and costs incurred in this action. Continue Reading Here. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings.
This court case retrieved on August 05, 2024, deadline.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. Elon Musk v OpenAI, Court Filing, retrieved on April 30, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part of this filing here. This part is 22 of 29. Elon Musk v OpenAI, Court Filing, retrieved on April 30, 2024, is part of HackerNoon’s Legal PDF Series . You can jump to any part of this filing here . This part is 22 of 29. HackerNoon’s Legal PDF Series here COUNT X: FALSE ADVERTISING UNDER THE LANHAM ACT, 15 U.S.C. § 1125(a)(1)(B) (Against Altman, Brockman, and OpenAI, Inc.) 280. Plaintiff re-alleges and incorporates by reference paragraphs 1 through 279 inclusive, as though fully set forth herein. 281. Altman and Brockman induced an unwitting Musk to co-found their spurious non-profit, OpenAI, Inc. They then exploited Musk’s stature and reputation to elicit public trust and support for the non-profit, recruit top AI scientists and engineers, and solicit financial contributions from third parties through knowingly false marketing and promotion of the non-profit, harming Musk’s business interests and reputation. 282. Musk is well-known for his commitment to open technology—e.g., Tesla and SpaceX generally do not hold and/or do not enforce patents for their technology, which is free for the public to use. 283. Altman and Brockman, in their individual capacities and on behalf of OpenAI, Inc., harnessed Musk’s business reputation by among other things, making Musk co-chair of the Board, using his track record to recruit top talent, and promoting his name and involvement on OpenAI, Inc.’s website and other marketing of OpenAI, Inc. 284. Defendants in their marketing, advertisements, and promotions made knowingly false and/or misleading representations to the public that OpenAI, Inc. would be a non-profit whose mission is to develop safe and opensource AI/AGI technology for the public good, not private gain. 285. Commencing on December 11, 2015 and continuing to today, OpenAI, Inc.’s website represented that “OpenAI’s co-chairs are Sam Altman and Elon Musk” and that: • “OpenAI is a non-profit artificial intelligence research company [whose] goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return. Since our research is free from financial obligations, we can better focus on a positive human impact.” • “We believe AI should be an extension of individual human will and, in the spirit of liberty, as broadly and evenly distributed as possible.” • “Because of AI’s surprising history, it’s hard to predict when human-level AI might come within reach. When it does, it’ll be important to have a leading research institution which can prioritize a good outcome for all over its own self-interest.” • “As a non-profit, our aim is to build value for everyone rather than shareholders.” • “Our primary fiduciary duty is to humanity. We anticipate needing to marshal substantial resources to fulfill our mission, but will always diligently act to minimize conflicts of interest among our employees and stakeholders that could compromise broad benefit.” • “Researchers will be strongly encouraged to publish their work, whether as papers, blog posts, or code, and our patents (if any) will be shared with the world.” • “Our mission is to ensure that [AGI] benefits all humanity, primarily by attempting to build safe AGI and share the benefits with the world.” 286. OpenAI, Inc.’s Charter, posted on its website, claims: “We commit to use any influence we obtain over AGI’s deployment to ensure it is used for the benefit of all, and to avoid enabling uses of AI or AGI that harm humanity or unduly concentrate power. Our primary fiduciary duty is to humanity.” 287. Even in marketing OpenAI, L.P., on March 11, 2019, Defendants claimed: “The General Partner’s duty to this mission and the principles advanced in the OpenAI Inc. Charter take precedence over any obligation to generate a profit.” OpenAI, Inc.’s website stated: “We’ve designed OpenAI LP [sic] to put our overall mission—ensuring the creation and adoption of safe and beneficial AGI—ahead of generating returns for investors. . . . Regardless of how the world evolves, we are committed—legally and personally—to our mission.” 288. Altman and Brockman made these material, false, and misleading representations of fact about the nature, characteristics, and qualities of Defendants’ products and services in commercial advertising or promotion in interstate commerce, namely, OpenAI, Inc.’s website, online marketing, online blog posts, and Defendants’ social media. 289. These false and misleading statements have deceived and/or are likely to deceive a substantial segment of the public. 290. Defendants’ false and misleading claims are material because they are likely to induce the relevant public to make financial and/or other contributions, including the rendering of services (like the top scientists they recruited) to OpenAI, Inc. in the belief they are supporting an open-source, not-for-profit AI/AGI research foundation, when in fact, they are providing capital, support, and/or services to what is covertly a thoroughly commercial enterprise. 291. Defendants’ conduct constitutes false advertising and unfair competition in violation of Section 43(a) of the Lanham Act, 15 U.S.C. § 1125(a)(1)(B). 292. Defendants’ deceptive conduct and false and misleading claims have injured and will continue to injure Musk’s valuable business reputation and commercial interests. Defendants intentionally concealed their wrongful conduct, which prevented Musk from discovering their scheme, notwithstanding his exercise of due diligence. 293. As a prominent and well-respected tech figure, Musk’s name and reputation served to attract top-tier AI scientists and engineers to OpenAI, Inc. Indeed, it was Musk’s reputation and track record which served to recruit OpenAI, Inc.’s prominent Chief Scientist, Dr. Sutskever away from Google. But as alleged hereinabove, numerous key executives at OpenAI, Inc., including Dr. Sutskever, are now resigning from the supposed non-profit due to Defendants’ conflicted pursuit of profits over safety. 294. Defendants’ misrepresentations, by affiliation, have harmed, and will continue to harm Musk’s professional standing and commercial interests particularly in the AI/tech industry, eroding his ability to recruit leading AI scientists and engineers, as he had done for Defendants. Such harm is particularly acute in the field of AI, where the recruitment of a very limited pool of top scientists and engineers is fiercely competitive and pivotal to success. 295. As a direct and proximate result of Altman, Brockman, and OpenAI, Inc.’s conduct, acts, and omissions alleged hereinabove, Musk is entitled to recover the damages he sustained and will sustain, including any income, gains, compensation, profits, and advantages obtained, received, or to be received by Defendants, or any of them, arising from their wrongful conduct, including prejudgment interest. Musk is entitled to an order requiring Defendants, jointly and severally, to render an accounting to ascertain the amount of such proceeds. 296. As a direct and proximate result of Defendants’ wrongful conduct, acts, and omissions alleged hereinabove, Musk has been damaged, and Defendants have been and will continue to be unjustly enriched, in an amount that shall be assessed at trial, and for which restitution and/or non-restitutionary disgorgement is appropriate. Such should include the imposition of a constructive trust; a declaration by this Court that Defendants are jointly and severally the constructive trustee(s) for the benefit of Musk; and an order that Defendants convey to Musk all of the profits, assets, property, and ill-gotten gains received or to be received by Defendants, which are traceable to Musk’s wrongfully acquired financial and other contributions to OpenAI, Inc. 297. Unless enjoined by this Court pursuant to 15 U.S.C. § 1116, Defendants will continue to mislead the public and cause harm to Musk. Musk is entitled to an injunction during the pendency of this action, and permanently enjoining Defendants, their officers, agents, and employees, and all persons acting in concert with them, from engaging in such further acts. 298. Defendants’ false and misleading claims are deliberate, willful, fraudulent, and without extenuating circumstances. Defendants’ conduct is thus an “exceptional case” within the meaning of section 35(a) of the Lanham Act, 15 U.S.C. § 1117(a). Musk is therefore entitled to recover three times the amount of his actual damages and his attorneys’ fees and costs incurred in this action. Continue Reading Here. Continue Reading Here . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on August 05, 2024, deadline.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on August 05, 2024, deadline.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. deadline.com

Musk Accuses Altman and Brockman of False Advertising and Misleading the Public

OpenAI's Corporate Structure Questioned in Musk Lawsuit

Musk Sues OpenAI for Breach of Trust

Survey and Analysis of Smart Contract Quality Assurance: Conclusions, Acknowledgement and References

Survey and Analysis of Smart Contract Quality Assurance: Defense Methodologies

I Asked Gemini 1.5 Pro About AGI Twice. This Was Its Shocking Answer.

Stories, News & Mentions about AIGIS

Aigis’s Stories on HackerNoon