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Sarath Shekkizhar

shekkizh
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https://shekkizh.github.io/

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new activity 19 days ago
xai-org/grok-2:What do we know about the architecture so far?
replied to their post 5 months ago
🙋🏽‍♂️ Is your "multi agent" system really multi agentic? Or is it just a modular setup with a bunch of different prompts? 🤨 I’ve had this discussion way too often, so I finally wrote it all down. If you’re building with agents, you need to read this. Here’s the TLDR: ✅ True multi agent systems require: • Persistent, private state per agent • Memory that impacts future decisions • Adaptation based on past experiences ❌ Just having modular components, function calls, or multiple LLMs doesn't cut it. That’s not multi agentic. It’s just pipelining. 🤝 The magic is in evolving relationships, context retention, and behavioral shifts over time. 🧠 If your agents aren’t learning from each other or changing based on past experience… you are missing the point. What do you think? Curious what patterns you're experimenting with 🧐 👉 Full post: https://shekkizh.github.io/posts/2025/04/multi-agents/
replied to their post 5 months ago
Think AGI is just around the corner? Not so fast. When OpenAI released its Computer-Using Agent (CUA) API, I happened to be playing Wordle 🧩 and thought, why not see how the model handles it? Spoiler: Wordle turned out to be a surprisingly effective benchmark. So Romain Cosentino Ph.D. and I dug in and analyzed the results of several hundred runs. 🔑 Takeaways 1️⃣ Even the best computer-using models struggle with simple, context-dependent tasks.  2️⃣ Visual perception and reasoning remain major hurdles for multimodal agents. 3️⃣ Real-world use cases reveal significant gaps between hype and reality. Perception accuracy drops to near zero by the last turn 📉 🔗 Read our arxiv article for more details https://www.arxiv.org/abs/2504.15434
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