{"id":40831,"date":"2025-08-04T12:05:57","date_gmt":"2025-08-04T19:05:57","guid":{"rendered":"https:\/\/www.yardi.com\/blog\/?p=40831"},"modified":"2026-02-27T02:25:15","modified_gmt":"2026-02-27T10:25:15","slug":"open-source-ai-agents","status":"publish","type":"post","link":"https:\/\/www.yardi.com\/blog\/open-source-ai-agents\/","title":{"rendered":"China vs. America in open source, mind-blowing AI agents &amp; more"},"content":{"rendered":"<figure class=\"wp-block-image size-large\"><\/figure>\n<p>There is a new arms race brewing. A cold war not fought with atomic weapons, but something potentially more powerful: AI. While the U.S. is leading the pack for closed models such as ChatGPT, Claude, and Gemini, in the world of open source models, China is the clear leader with models like <a href=\"https:\/\/moonshotai.github.io\/Kimi-K2\/\">Kimi K2<\/a> and <a href=\"https:\/\/qwenlm.github.io\/blog\/qwen3\/\">Qwen 3<\/a>. Can the U.S. fight back?<\/p>\n<p>On a more positive note, my mind was blown not once, but twice last week! OpenAI\u2019s <a href=\"https:\/\/openai.com\/index\/introducing-chatgpt-agent\/\">ChatGPT agent<\/a> and <a href=\"https:\/\/docs.replit.com\/getting-started\/intro-replit\">Replit\u2019s AI coding platform<\/a> are two incredible examples of how Agentic AI can revolutionize the way people work and live.<\/p>\n<p>If that\u2019s not enough to convince you that real change is coming, how about this: Both OpenAI and Google have AI models that were able to <a href=\"https:\/\/techcrunch.com\/2025\/07\/21\/openai-and-google-outdo-the-mathletes-but-not-each-other\/\">win Gold at the International Math Olympiad<\/a>, one of the most challenging math competitions in the world.<\/p>\n<p>Let\u2019s dig in!<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-open-source\"><strong>Open source<\/strong><\/h2>\n<h3 class=\"wp-block-heading\" id=\"h-what-happened\">What happened<\/h3>\n<p>There were two major releases of open source AI models recently. <a href=\"https:\/\/www.moonshot.ai\/\">Moonshot<\/a> released <a href=\"https:\/\/moonshotai.github.io\/Kimi-K2\/\">Kimi K2<\/a> (try it <a href=\"https:\/\/www.kimi.com\/\">here<\/a>) and <a href=\"https:\/\/www.alibabacloud.com\/en?_p_lc=1\">Alibaba Cloud<\/a> released a major update to <a href=\"https:\/\/venturebeat.com\/ai\/its-qwens-summer-new-open-source-qwen3-235b-a22b-thinking-2507-tops-openai-gemini-reasoning-models-on-key-benchmarks\/\">Qwen 3<\/a> (specifically Qwen3-235B-Thinking-2507 \u2013 try it <a href=\"https:\/\/chat.qwen.ai\/\">here<\/a>). Both of these models are state of the art for open source models and can even compete with the best closed source models on many benchmarks. Here\u2019s a chart of Kimi K2\u2019s performance vs other leading LLMs:<\/p>\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"975\" height=\"673\" src=\"https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image.png\" alt=\"Agentic and competitive coding graphs\" class=\"wp-image-40832\" srcset=\"https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image.png 975w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image.png?resize=768,530 768w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image.png?w=400 400w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image.png?w=500 500w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image.png?w=600 600w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image.png?w=720 720w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image.png?w=800 800w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image.png?w=1000 1000w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image.png?w=1200 1200w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image.png?w=1440 1440w\" sizes=\"auto, (max-width: 975px) 100vw, 975px\"><\/figure>\n<p>And here\u2019s a chart of Qwen 3\u2019s performance vs other leading LLMs:<\/p>\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"975\" height=\"548\" src=\"https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_346d13.png\" alt=\"Agentic and competitive coding graphs\" class=\"wp-image-40833\" srcset=\"https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_346d13.png 975w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_346d13.png?resize=768,432 768w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_346d13.png?w=400 400w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_346d13.png?w=500 500w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_346d13.png?w=600 600w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_346d13.png?w=720 720w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_346d13.png?w=800 800w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_346d13.png?w=1000 1000w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_346d13.png?w=1200 1200w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_346d13.png?w=1440 1440w\" sizes=\"auto, (max-width: 975px) 100vw, 975px\"><\/figure>\n<p>What\u2019s incredible here is not just the power of these models, but the cost. Look at how Kimi K2 compares with other models on a price\/token graph (top left of the chart means that the model is smart and cheap):<\/p>\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"975\" height=\"552\" src=\"https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_879da4.png\" alt=\"Agentic and competitive coding graphs\" class=\"wp-image-40834\" srcset=\"https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_879da4.png 975w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_879da4.png?resize=768,435 768w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_879da4.png?w=400 400w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_879da4.png?w=500 500w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_879da4.png?w=600 600w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_879da4.png?w=720 720w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_879da4.png?w=800 800w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_879da4.png?w=1000 1000w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_879da4.png?w=1200 1200w, https:\/\/www.yardi.com\/blog\/wp-content\/uploads\/sites\/15\/2025\/08\/image_879da4.png?w=1440 1440w\" sizes=\"auto, (max-width: 975px) 100vw, 975px\"><\/figure>\n<p>It is important to note that both Moonshot and Alibaba are Chinese companies. While the U.S. does have a few open source LLMs, most notably <a href=\"https:\/\/www.llama.com\/\">Llama<\/a> from Meta, <a href=\"https:\/\/deepmind.google\/models\/gemma\/\">Gemma<\/a> from Google, and <a href=\"https:\/\/www.nvidia.com\/en-us\/ai-data-science\/foundation-models\/nemotron\/\">Nemotron<\/a> from Nvidia, none of them are near the top of the leaderboards. Why is that?<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-why-it-matters\">Why it matters<\/h3>\n<p>Open source LLMs are critical for several reasons:<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Transparency<\/strong> \u2013 Researchers and developers can inspect how models work, enabling trust and accountability.<\/li>\n<li><strong>Customization<\/strong> \u2013 Organizations can fine-tune or adapt models to specific use cases or constraints.<\/li>\n<li><strong>Innovation<\/strong> \u2013 Open access accelerates research and experimentation across industries.<\/li>\n<li><strong>Security &amp; privacy<\/strong> \u2013 Self-hosted models reduce reliance on external APIs, protecting sensitive data.<\/li>\n<li><strong>Cost control<\/strong> \u2013 Avoids usage fees from proprietary APIs; better long-term economics for large-scale deployments.<\/li>\n<li><strong>Benchmarking<\/strong> \u2013 Enables standardized comparisons and reproducibility in academic and commercial contexts.<\/li>\n<li><strong>Global access<\/strong> \u2013 Lowers entry barriers for startups, students, and developers worldwide.<\/li>\n<li><strong>Prevents monopolies<\/strong> \u2013 Reduces dominance by a few major tech companies, promoting competition and fairness.<\/li>\n<\/ul>\n<p>Right now, the U.S. is falling behind China and that means that we will be challenged to remain competitive in this space. While China has amazing technical resources and incredible researchers, they are also constrained by the nature of the Chinese government and may be subject to monitoring and oversight that could be problematic for U.S. companies.<\/p>\n<p>The White House has just released <a href=\"https:\/\/www.whitehouse.gov\/wp-content\/uploads\/2025\/07\/Americas-AI-Action-Plan.pdf\">\u201cWinning the Race \u2013 America\u2019s AI Action Plan\u201d<\/a>. This 25-page strategy frames AI as a national priority on par with the space race or the Cold War, aiming to secure U.S. dominance with 90 policy proposals including a directive to \u201cEncourage Open-Source and Open-Weight AI.\u201d While it\u2019s very exciting to see our government focused on AI, there are also more grass roots efforts that we should be paying attention to such as Nathan Lambert\u2019s <a href=\"https:\/\/www.interconnects.ai\/p\/the-american-deepseek-project\">\u201cAmerican DeepSeek Project.\u201d<\/a><\/p>\n<p>As a quick reminder, DeepSeek is another Chinese LLM that crushed benchmarks and made headlines for being trained incredibly inexpensively. An \u201cAmerican DeepSeek Project\u201d is therefore a call to arms to have U.S. researchers build \u201ca fully open-source model at the scale and performance of current (publicly available) frontier models, within two years.\u201d<\/p>\n<p>These issues affect all of us, including not only software vendors like Yardi, but also consumers of the software who rely on LLMs to power the tools of the future. Without open source models, Yardi will be forever locked in to working with only a handful of vendors. We will not have the ability to create fine-tuned versions of models that have enhanced domain-specific skills. If we rely on Chinese models, we will be challenged to ensure they are behaving in a way that is consistent with our security and privacy practices.<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-openai-agent-amp-replit\"><strong>OpenAI Agent &amp; Replit<\/strong><\/h2>\n<h3 class=\"wp-block-heading\" id=\"h-what-happened-0\">What happened<\/h3>\n<p>OpenAI released their <a href=\"https:\/\/openai.com\/index\/introducing-chatgpt-agent\/\">ChatGPT agent<\/a> (watch the announcement video <a href=\"https:\/\/www.youtube.com\/watch?v=1jn_RpbPbEc\">here<\/a>), an incredibly powerful tool that can now use a virtual computer to handle complex tasks from start to finish. As OpenAI puts it: \u201cYou can now ask ChatGPT to handle requests like \u201clook at my calendar and brief me on upcoming client meetings based on recent news,\u201d \u201cplan and buy ingredients to make Japanese breakfast for four,\u201d and \u201canalyze three competitors and create a slide deck.\u201d ChatGPT will intelligently navigate websites, filter results, prompt you to log in securely when needed, run code, conduct analysis, and even deliver editable slideshows and spreadsheets that summarize its findings.\u201d<\/p>\n<p>Also, <a href=\"https:\/\/docs.replit.com\/getting-started\/intro-replit\">Replit<\/a> has released an absolutely mind-blowing <a href=\"https:\/\/replit.com\/~\">AI agent<\/a> that builds entire applications for you including setting up all the infrastructure and handling the deployment of the app. While it wasn\u2019t released last week, it crossed my desk recently and I tried it out and wanted to share it with you all. I have written about AI software coding agents such as <a href=\"https:\/\/www.anthropic.com\/claude-code\">Claude Code<\/a> and <a href=\"https:\/\/openai.com\/codex\/\">OpenAI Codex<\/a> before, but those tools are focused on existing software engineers who want to integrate AI agents into their existing development workflow. Replit is different. You don\u2019t need to <em>have<\/em> an existing development workflow! You don\u2019t need to know anything about software development, per se. All you need is an idea and the ability to communicate your requirements clearly.<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-why-it-matters-0\"><em>Why it matters<\/em><\/h3>\n<p>These two agents are examples of how this advanced technology is being brought to the masses. I work at a software company where developers are building \u201cagentic AI\u201d into products using sophisticated tools like Flowise, MCP servers, and LangChain to solve complex business challenges. But now the average person can open their phone and, without deep technical knowledge, get an agentic AI to execute complex tasks, up to and including writing software!<\/p>\n<p>These tools are truly incredible, and I urge you all to try them.<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-gold-at-the-international-math-olympiad\"><strong>Gold at the International Math Olympiad<\/strong><\/h2>\n<h3 class=\"wp-block-heading\" id=\"h-what-happened-1\">What happened<\/h3>\n<p>Both OpenAI and Google have developed AI models that were able to <a href=\"https:\/\/techcrunch.com\/2025\/07\/21\/openai-and-google-outdo-the-mathletes-but-not-each-other\/\">win Gold at the International Math Olympiad<\/a>. \u201cWhat is that?\u201d you ask. The IMO (that\u2019s what the cool kids call it) is the World Championship Mathematics Competition for High School students and it consists of six of the hardest math problems I\u2019m sure you\u2019ve ever seen (unless you\u2019re a professional mathematician). Here\u2019s an example:<\/p>\n<p>\u201cConsider a 2025\u00d72025 grid of unit squares. Matilda wishes to place on the grid some rectangular tiles, possibly of different sizes, such that each side of every tile lies on a grid line and every unit square is covered by at most one tile.<\/p>\n<p>Determine the minimum number of tiles Matilda needs to place so that each row and each column of the grid has exactly one unit square that is not covered by any tile.\u201d<\/p>\n<p>What?!<\/p>\n<p>In this case, winning gold means getting more than 35 points out of a total of 42 possible. There are six questions, and credit is given for partial answers, up to seven points per question.<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-why-it-matters-1\">Why it matters<\/h3>\n<p>To anyone who thinks that LLMs and other modern AI models are \u201cnever\u201d going to do x, y, or z, I offer this up as evidence that you should never say never. The level of intelligence and reasoning ability that is required to answer these questions is at the frontier of human capability. Just a few short years ago, ChatGPT couldn\u2019t accurately tell you how many \u2018r\u2019s are in \u201cstrawberry\u201d and now look how far we\u2019ve come.<\/p>\n<p>The power of AI has gotten so strong that even if it never gets any better than it is today, we could easily spend the next decade building new applications and new capabilities with it that will fundamentally change the way civilization operates.<\/p>\n<p>Thank you all for tuning in. Please subscribe to be notified whenever a new post comes out and we look forward\u00a0to seeing\u00a0you on the next one.<\/p>\n<p>Stay curious, my friends!<\/p>\n<p>\u2013 David<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-author-bio\">Author bio<\/h2>\n<p>David is the industry principal of AI at Yardi, where he works closely with the sales team to help clients understand how Yardi\u2019s solutions align with their business needs. A real estate technology, AI and IT guru with deep sales expertise and entrepreneurial roots, David brings decades of experience bridging the gap between technical innovation and real-world application. David\u2019s superpower is making complex technical concepts approachable, interesting and easy to understand \u2014 especially for non-technical audiences. When he\u2019s not working, you can find him skiing, rock climbing or racing his Tesla.<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-disclaimer\">Disclaimer<\/h2>\n<p><em>This article is for general information purposes only. The opinions, analysis and commentary expressed are not and cannot be relied on as legal advice, and do not necessarily reflect the views of\u00a0<a href=\"http:\/\/www.yardi.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Yardi Systems, Inc.<\/a>, or any of its affiliates.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>China is winning the open source race, but America is fighting back. See how the latest AI agents are blowing minds with incredible automations.<\/p>\n","protected":false},"author":3804,"featured_media":40851,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_s2mail":"yes","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3355,6],"tags":[1329,1800,3163,3164],"class_list":["post-40831","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-technology","tag-ai","tag-artificial-intelligence","tag-david-franklin","tag-the-real-ai-estate"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v23.4 (Yoast SEO v24.6) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Yardi Blog<\/title>\n<meta name=\"description\" content=\"China is winning the open source race, but America is fighting back. 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