Tanat Tonguthaisri, CISSP®’s Post

I am excited to share our latest blog post, highlighting important insights from the research paper "Evaluating the World Model Implicit in a Generative Model." This post dives into the intricate relationship between generative models and the implicit world models they create, providing a comprehensive overview of how these concepts can enhance our understanding of artificial intelligence. Understanding the world model embedded within generative models is crucial for advancing AI applications. This work not only elucidates these relationships but also discusses methodologies for evaluating the effectiveness of these models. For those interested in the forefront of AI research and its implications, I encourage you to read the blog post and explore the full research paper at the link below: [Read the full paper](https://ift.tt/JQNa8l6)

I am excited to share our latest blog post focusing on LLaVA-O1, a groundbreaking approach that enhances the reasoning capabilities of vision-language models through a step-by-step reasoning process. This innovative framework not only advances the efficiency of model interactions but also significantly improves the understanding and interpretation of visual information in conjunction with language. Dive into the details and explore the potential implications for various applications in AI. You can read the full article here: https://ift.tt/OUJciAM.

Who is in the Gurobi Academic Webinar: The Impact and Uses of Generative AI in Optimization: What's Next? Join us for a dynamic panel discussion featuring Warren Hearnes, PhD, Can Li, Irv Lustig, Jerome Yurchisin and Thomas Braam as they explore the transformative role of Generative AI in optimization. Here is the link to the webinar: https://lnkd.in/edif-X3r

Diversity of views coming out of @NEJM_AI https://lnkd.in/eeVqkwYx on LLMs. Thoughtful dose of optimistic sobriety from Prof P. Szolovits (AIM pioneer and my thesis advisor!) @MIT @MIT_CSAIL framing generative AI in terms of knowledge compression.

Outstanding discussion of #GenerativeAI & #Optimization. Warren, Can & Irv provided some excellent insights on the tactical methods to build and refine optimization models.

Out of 8 billion people in the world hardly one billion has access to advanced healthcare and education. If AI is used ethically it is possible to provide reasonable healthcare, education and good quality of life to atleast 3-4 billion people over next 30 years or so. The big issue is will AI be used by a selected few to amass obscene wealth and power or it will be used for real benefit to humanity. #artificialintelligence #ai #macroeconomics #deepmind #google #research #future

A nice summary of the CHI'2024 Workshop on Theory of Mind in Human-AI Interactions. Thanks especially to Qiaosi Wang and Justin Weisz.

In the final installment of the Sinchew Daily's article on AI, I highlighted the crucial collaboration between academia and industry, focusing on enhancing TVET competencies. I also stressed the importance of sparking interest in STEM among young learners by introducing AI concepts early on. This is key to sustaining a robust pipeline of AI talent for the future. Read the full article here: https://lnkd.in/gE87eawT.

AI has the potential to turbocharge scientific progress, with all the widespread benefits this might entail. This new essay encourages all scientists, from all domains, to learn more and embrace AI tools & techniques. I can't wait to see what the next 5-10 years will bring us!

It's scary to lose it, it's scary to use it Looking forward to sharing insights on our feelings toward AI in my upcoming keynote lecture at Reichman University.