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If AIs Ran the Cabinet, Bold Policies for Singapore's Future πŸ’‘πŸ€–⚡

  I challenged 12 LLMs to pitch innovative policies to secure Singapore’s competitive edge, in response to our PM Lawrence Wong 's NDR message . Report by ChatGPT Report by Gemini Report by Claude Report by Grok Report by Perplexity Report by Mistral Report by Deepseek Report by Qwen Report by Getliner Report by Felo Report by Genspark Report by Kimi Report by Manus Consolidated Report from All 12 LLMs A Podcast on some of the Proposals by the LLMs A Presentation on some of the Proposals by the LLMs Consolidated Creative and Innovative Proposals Click Here for PDF version I. Technology & AI Governance Compute Sovereignty & Marketplaces 1 Sovereign Compute Exchange (SCX / SCE / SG-ComEx) 2 Compute Standards Authority 3 ASEAN Compute Corridor 4 "Compute for All" Initiative (UN) 5 Compute-for-Training + Data-for-Safety Bilateral Swaps AI Regulatory & Ethical Frameworks 1 Singapore Global AI Neutral Zone (G...

Safety of LLM-based AI chatbots for young consumers in purchase decisions πŸ§‘‍πŸ’»

 Authors: Dr Adrian Tan and Mr Leo Click here to access paper

Ask not "Why" but "Why Not": Harnessing the Power of Reasoning LLMs πŸ’ͺ⛽

Ask not "Why" but "Why Not": Harnessing the Power of Reasoning LLMs By Leo Kee Chye With a wave of advanced reasoning Large Language Models (LLMs) such as OpenAI's o3 mini, DeepSeek R1 , Google’s experimental Gemini 2.0 Flash , xAI’s Grok 3 , Perplexity’s reasoning and deep research model and Alibaba’s QwQ entering the market, many users may find ourselves overwhelmed—especially as we are still exploring the full potential of earlier models. This article argues that the rise of these sophisticated reasoning LLMs will dramatically enhance researchers’ capabilities. Rather than simply seeking answers from these models, researchers should focus on refining the questions we ask. Furthermore, instead of limiting our inquiries to “What,” “How,” and “Why,” we should also ask, “Why not?” Understanding Reasoning LLMs Core Features and Evolution Reasoning LLMs are designed to think step-by-step, deconstruct complex problems into components, solve them either sequentiall...

Hedge Fund Agents using investment style of Warren Buffett and others πŸ’ΉπŸ“ˆπŸ“‰πŸ“Š

Thanks to Virat Singh, I use his codes at https://github.com/virattt/ai-hedge-fund for this project.

Can ChatGPT mark and grade answer scripts? πŸ–‹️✒️πŸ“

    Click the following video clip below on how to use the Autograder Scroll down to the end of this page to experiment with Autograder         I'm fixing the bug in the Autograder below.  Currently, it cannot respond to your marking request.  Sorry, πŸ˜“  

I ask o3 mini whether China's facing Japan-style lost decade πŸ₯ΊπŸ˜–

      My Prompt: Perform a detailed assessment comparing China's current economic situation with that Japan's lost decades? Will China experience the Japan-style lost decade? Tell the reasons agree and those you do not agree with? What is your conclusion based on your expert analysis and opinion. o3 mini response : I will conduct a comprehensive analysis comparing China's current economic situation with Japan's Lost Decades . This research will cover key economic factors such as deflation , debt levels , demographics , and productivity growth . It will also examine structural, political, and historical differences that may impact outcomes. Additionally, I will incorporate expert opinions and data-driven economic analysis to provide a well-rounded conclusion on whether China may experience its own lost decade. China's Economy vs Japan's Lost Decades: A Comparative Analysis Key Economic Factors Deflationary Risks: China is currently grappling with e...