2024: The year Big Tech went “all in” on AI agents. 12 months, trillions on the line, and the stakes couldn’t be higher. If the AI agent race were a poker game, 2024 saw Big Tech pushing their chips to the center of the table: → Google launched Agentspace last week, redefining enterprise AI platforms → Microsoft evolved Copilot into Copilot Agents, bringing multi-agent systems into daily workflows → Salesforce doubled down with Agentforce, reshaping how companies think about productivity. → Even Amazon, IBM, and others entered the fray with platforms like Bedrock Agents and watsonx.ai Why the rush? Labor costs dominate most companies’ budgets, and AI agents promise to save time—or replace manual effort altogether. But here’s the real game-changer: Multimodal agents, capable of controlling computers like humans do, are on the rise. → Anthropic kicked off this sprint with Computer Use in October → OpenAI’s Operator promises a breakthrough in January → Google’s Project Mariner is already leveraging the Chrome ecosystem 2024 isn’t just about innovation—it’s a turning point for work itself. The bets are placed. The table is set. 2025 will reveal who cashes out big—and who folds under pressure. Stay ahead. Subscribe to Building AI Agents for weekly agent updates.
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Lead Cloud & AI Security Architect, DevSecOps Engineer, Security Focused MLOps & LLMOps enthusiast, AI Ethics & Security Researcher
Great points! 🧠 While the advancements are great and exciting, we definitely need to tread carefully. Ensuring transparency and considering real-world impacts are crucial as we move forward with AI autonomy. What are your thoughts on balancing innovation with caution?
Building the largest Gen AI community | Advisor @ Fortune 500 | 2 Million Followers | Keynote Speaker
📢 Microsoft Announced: AI Agents now can make decision by having a discussion among themselves! Here is what you need to know: AutoGen enables building next-gen LLM applications based on multi-agent conversations with minimal effort. It simplifies the orchestration, automation, and optimization of a complex LLM workflow. It maximizes the performance of LLM models and overcomes their weaknesses. It supports diverse conversation patterns for complex workflows. Developers can use AutoGen to build a wide range of conversation patterns concerning conversation autonomy, the number of agents, and agent conversation topology. AutoGen can easily support diverse conversation patterns. ------- ❌This is awesome but we need to be careful when AI agents engage in autonomous conversations and decision-making processes that are opaque to humans. ❌It might lead to mistrust, especially in critical applications like healthcare, finance, or legal systems, where the rationale behind decisions is essential. ❌Also, AI agents might develop solutions or strategies that, while effective from a computational standpoint, could have unintended negative consequences in the real world. 👀 What do you think?
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Great insights on how AI agents are evolving! It's amazing to see how they can now make decisions through conversations. But it’s also important to think about the challenges this brings. What do you think?
Building the largest Gen AI community | Advisor @ Fortune 500 | 2 Million Followers | Keynote Speaker
📢 Microsoft Announced: AI Agents now can make decision by having a discussion among themselves! Here is what you need to know: AutoGen enables building next-gen LLM applications based on multi-agent conversations with minimal effort. It simplifies the orchestration, automation, and optimization of a complex LLM workflow. It maximizes the performance of LLM models and overcomes their weaknesses. It supports diverse conversation patterns for complex workflows. Developers can use AutoGen to build a wide range of conversation patterns concerning conversation autonomy, the number of agents, and agent conversation topology. AutoGen can easily support diverse conversation patterns. ------- ❌This is awesome but we need to be careful when AI agents engage in autonomous conversations and decision-making processes that are opaque to humans. ❌It might lead to mistrust, especially in critical applications like healthcare, finance, or legal systems, where the rationale behind decisions is essential. ❌Also, AI agents might develop solutions or strategies that, while effective from a computational standpoint, could have unintended negative consequences in the real world. 👀 What do you think?
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🚀 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐔𝐧𝐯𝐞𝐢𝐥𝐬 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 𝐭𝐡𝐚𝐭 𝐃𝐢𝐬𝐜𝐮𝐬𝐬 & 𝐃𝐞𝐜𝐢𝐝𝐞 🤖 Microsoft’s AutoGen is allowing AI agents to make decisions through multi-agent conversations. It simplifies complex LLM workflows, enhancing performance and overcoming limitations. However, we must tread carefully. Autonomous AI decision-making could lead to mistrust or unintended consequences, especially in critical fields like healthcare and finance. What do you think? #AI #Technology #Innovation #Ethics
Building the largest Gen AI community | Advisor @ Fortune 500 | 2 Million Followers | Keynote Speaker
📢 Microsoft Announced: AI Agents now can make decision by having a discussion among themselves! Here is what you need to know: AutoGen enables building next-gen LLM applications based on multi-agent conversations with minimal effort. It simplifies the orchestration, automation, and optimization of a complex LLM workflow. It maximizes the performance of LLM models and overcomes their weaknesses. It supports diverse conversation patterns for complex workflows. Developers can use AutoGen to build a wide range of conversation patterns concerning conversation autonomy, the number of agents, and agent conversation topology. AutoGen can easily support diverse conversation patterns. ------- ❌This is awesome but we need to be careful when AI agents engage in autonomous conversations and decision-making processes that are opaque to humans. ❌It might lead to mistrust, especially in critical applications like healthcare, finance, or legal systems, where the rationale behind decisions is essential. ❌Also, AI agents might develop solutions or strategies that, while effective from a computational standpoint, could have unintended negative consequences in the real world. 👀 What do you think?
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Pond & Assoc. - Acting AI Prospector, Consulting - AI Adoption, Design & Implementation - Liberating Data - Fractional AI Leadership - Bullish about what is possible. Schedule a free consultation - see link below.
We have watched in amazement as every day AI output capabilities have been introduced. Text generation, image generation, voice generation, video generation. The next wave is agents. With the capabilities of the LLMs sufficient, it is time to put them to work. This is the phase that will start delivering hard ROI and impact employment. It may take years for the use cases to mature but it will replace large chunks of human work with better and faster experiences. #ai #genai Paul W. Kevin Rank, MBA Aaron Brinton
Building the largest Gen AI community | Advisor @ Fortune 500 | 2 Million Followers | Keynote Speaker
📢 Microsoft Announced: AI Agents now can make decision by having a discussion among themselves! Here is what you need to know: AutoGen enables building next-gen LLM applications based on multi-agent conversations with minimal effort. It simplifies the orchestration, automation, and optimization of a complex LLM workflow. It maximizes the performance of LLM models and overcomes their weaknesses. It supports diverse conversation patterns for complex workflows. Developers can use AutoGen to build a wide range of conversation patterns concerning conversation autonomy, the number of agents, and agent conversation topology. AutoGen can easily support diverse conversation patterns. ------- ❌This is awesome but we need to be careful when AI agents engage in autonomous conversations and decision-making processes that are opaque to humans. ❌It might lead to mistrust, especially in critical applications like healthcare, finance, or legal systems, where the rationale behind decisions is essential. ❌Also, AI agents might develop solutions or strategies that, while effective from a computational standpoint, could have unintended negative consequences in the real world. 👀 What do you think?
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Building the largest Gen AI community | Advisor @ Fortune 500 | 2 Million Followers | Keynote Speaker
📢 Microsoft Announced: AI Agents now can make decision by having a discussion among themselves! Here is what you need to know: AutoGen enables building next-gen LLM applications based on multi-agent conversations with minimal effort. It simplifies the orchestration, automation, and optimization of a complex LLM workflow. It maximizes the performance of LLM models and overcomes their weaknesses. It supports diverse conversation patterns for complex workflows. Developers can use AutoGen to build a wide range of conversation patterns concerning conversation autonomy, the number of agents, and agent conversation topology. AutoGen can easily support diverse conversation patterns. ------- ❌This is awesome but we need to be careful when AI agents engage in autonomous conversations and decision-making processes that are opaque to humans. ❌It might lead to mistrust, especially in critical applications like healthcare, finance, or legal systems, where the rationale behind decisions is essential. ❌Also, AI agents might develop solutions or strategies that, while effective from a computational standpoint, could have unintended negative consequences in the real world. 👀 What do you think?
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Sr. Principal Product at PTC | Innovating ALM with Generative AI & Data Science | Tech Leader
Next level of neural network is here. Beware finance and medical care 🤞As it progresses it needs a comprehensive handling.
Building the largest Gen AI community | Advisor @ Fortune 500 | 2 Million Followers | Keynote Speaker
📢 Microsoft Announced: AI Agents now can make decision by having a discussion among themselves! Here is what you need to know: AutoGen enables building next-gen LLM applications based on multi-agent conversations with minimal effort. It simplifies the orchestration, automation, and optimization of a complex LLM workflow. It maximizes the performance of LLM models and overcomes their weaknesses. It supports diverse conversation patterns for complex workflows. Developers can use AutoGen to build a wide range of conversation patterns concerning conversation autonomy, the number of agents, and agent conversation topology. AutoGen can easily support diverse conversation patterns. ------- ❌This is awesome but we need to be careful when AI agents engage in autonomous conversations and decision-making processes that are opaque to humans. ❌It might lead to mistrust, especially in critical applications like healthcare, finance, or legal systems, where the rationale behind decisions is essential. ❌Also, AI agents might develop solutions or strategies that, while effective from a computational standpoint, could have unintended negative consequences in the real world. 👀 What do you think?
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Director @ Novartis | Technology Transformation Leader| Author | Ex-Accenture/Cognizant/TCS | Life Long Learner | Quizzer | Mentor | Speaker | Influencer | Operations | Consulting | Quality Engineering
💡Microsoft AutoGen is a tool that helps computers generate human-like text. It's like a robot writer that can create articles, emails, and more! AutoGen uses LAM technology to make writing faster and easier. 💡 LLMs (Large Language Models) are great at writing text based on what you tell them. 🤔 But LAMs (Large Action Models) are different. They focus on: 👀 Understanding what actions need to be done 🔄 Figuring out the best order to do those actions 🎉 Helping achieve a specific goal! 🤔 A computer program that can understand and talk like humans. It's trained on a huge amount of text data, like a super smart reader! LAM can answer questions, write stories, and even have conversations. This progress will help automate more and will help organizations reduce costs significantly. Also, it opens up a new set of challenges to the organizations, like the migration to cloud introduced new challenges to the organizations. #krpoints #autoGen #Microsoft #LLM #LAM Note: One of the LLMs was used for some of the content refinement and rewrite of this post.
Building the largest Gen AI community | Advisor @ Fortune 500 | 2 Million Followers | Keynote Speaker
📢 Microsoft Announced: AI Agents now can make decision by having a discussion among themselves! Here is what you need to know: AutoGen enables building next-gen LLM applications based on multi-agent conversations with minimal effort. It simplifies the orchestration, automation, and optimization of a complex LLM workflow. It maximizes the performance of LLM models and overcomes their weaknesses. It supports diverse conversation patterns for complex workflows. Developers can use AutoGen to build a wide range of conversation patterns concerning conversation autonomy, the number of agents, and agent conversation topology. AutoGen can easily support diverse conversation patterns. ------- ❌This is awesome but we need to be careful when AI agents engage in autonomous conversations and decision-making processes that are opaque to humans. ❌It might lead to mistrust, especially in critical applications like healthcare, finance, or legal systems, where the rationale behind decisions is essential. ❌Also, AI agents might develop solutions or strategies that, while effective from a computational standpoint, could have unintended negative consequences in the real world. 👀 What do you think?
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Nice summary on Autogen and just shows we are scratching the surface. Also shows how much we still have to consider in terms of implications….how comfortable are we going to be with these approaches (many still are at the beginning of their journey with AI)? Grateful for the insights in this post!
Building the largest Gen AI community | Advisor @ Fortune 500 | 2 Million Followers | Keynote Speaker
📢 Microsoft Announced: AI Agents now can make decision by having a discussion among themselves! Here is what you need to know: AutoGen enables building next-gen LLM applications based on multi-agent conversations with minimal effort. It simplifies the orchestration, automation, and optimization of a complex LLM workflow. It maximizes the performance of LLM models and overcomes their weaknesses. It supports diverse conversation patterns for complex workflows. Developers can use AutoGen to build a wide range of conversation patterns concerning conversation autonomy, the number of agents, and agent conversation topology. AutoGen can easily support diverse conversation patterns. ------- ❌This is awesome but we need to be careful when AI agents engage in autonomous conversations and decision-making processes that are opaque to humans. ❌It might lead to mistrust, especially in critical applications like healthcare, finance, or legal systems, where the rationale behind decisions is essential. ❌Also, AI agents might develop solutions or strategies that, while effective from a computational standpoint, could have unintended negative consequences in the real world. 👀 What do you think?
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Yesterday, Thomson Reuters showcased the power of CoCounsel combined with Microsoft Copilot during the 2024 Microsoft Build keynote. This solution will provide professionals with an improved AI experience - taking GenAI assistant know-how to the next level. This tool will provide Thomson Reuters and Microsoft’s shared customers with a personalized AI experience that saves effort, reduces risk, and simplifies compliance. https://ow.ly/oXyC50ROVF1
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Yesterday, Thomson Reuters showcased the power of CoCounsel combined with Microsoft Copilot during the 2024 Microsoft Build keynote. This solution will provide professionals with an improved AI experience - taking GenAI assistant know-how to the next level. This tool will provide Thomson Reuters and Microsoft’s shared customers with a personalized AI experience that saves effort, reduces risk, and simplifies compliance. https://ow.ly/WMjC50ROVFG
Read our latest edition here: https://www.buildingaiagents.ai/p/big-tech-all-in-on-agents