The Future of AI: Large Quantitative Models and Their Applications

The global competition to lead the AI race is heating up, with governments and industries looking to leverage the next wave of AI innovation to unlock real-world value creation. Recently, Jack Hidary, CEO of SandboxAQ, joined Maria Bartiromo on Fox Business' Mornings with Maria to discuss the next wave of AI innovation: Large Quantitative Models (LQMs). SandboxAQ is a company that combines AI and quantum technologies to drive innovation

Introduction to SandboxAQ

SandboxAQ was spun out of Google, parent company Alphabet, three years ago. The company delivers critical advances in life sciences, financial services, navigation, cyber, and other sectors. Jack Hidary, the CEO of SandboxAQ, assesses the state of the AI race, noting that it is wild times in AI. The company's name, SandboxAQ, reflects its focus on combining AI and quantum technologies to drive innovation.

The Need for Large Quantitative Models

According to Jack Hidary, AI needs to go beyond language and focus on large quantitative models (LQMs). While large language models (LLMs) like ChatGPT and DeepSeek dominate headlines, LQMs are unlocking breakthroughs in biopharma, materials science, finance, and national security. LQMs are built on chemistry, physics, and biology to solve real-world challenges, rather than being trained on internet text like LLMs.

Applications of Large Quantitative Models

LQMs have the potential to drive tangible impact in various industries. In biopharma, LQMs can accelerate drug discovery for diseases like Alzheimer's and cancer. In materials science, LQMs can help create new materials for industries like aerospace and energy. In finance, LQMs can improve portfolio optimization and risk management. SandboxAQ is already working with companies like Sanofi, Dow Chemical, and Aramco to apply LQMs in these areas. LQMs have the potential to drive tangible impact in various industries

Partnerships and Funding

SandboxAQ has raised over $800 million in funding and has partnered with companies like Sanofi, Dow Chemical, and Aramco to apply LQMs in various industries. The company is also working with leading research institutions like the University of California, San Francisco, to develop new medicines and materials. Jack Hidary notes that the company is focused on product development and go-to-market strategies to scale its impact.

Cybersecurity and National Security

The conversation also shifted to cybersecurity and national security, with Jack Hidary warning that AI is being weaponized by state-sponsored adversaries. He highlighted the urgent need for US businesses and government agencies to invest in AI-driven defense systems to protect against cyber threats. SandboxAQ is working with government agencies and private companies to develop AI-powered cybersecurity solutions. AI is being weaponized by state-sponsored adversaries, posing a significant threat to national security

The Future of AI in Healthcare

SandboxAQ is also working with hospitals and healthcare systems to apply AI in clinical settings. For example, the company is working with Mount Sinai Hospital to develop an AI-powered system for diagnosing heart disease. Jack Hidary notes that AI has the potential to revolutionize healthcare by improving diagnosis, treatment, and patient outcomes. AI has the potential to revolutionize healthcare by improving diagnosis, treatment, and patient outcomes

Conclusion

In conclusion, the future of AI lies in large quantitative models and their applications in various industries. SandboxAQ is at the forefront of this innovation, combining AI and quantum technologies to drive breakthroughs in biopharma, materials science, finance, and national security. As the global competition to lead the AI race heats up, it is essential for governments and industries to invest in AI-driven innovation to unlock real-world value creation.