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LangGraph has become one of the go-to frameworks for building stateful AI agents, but the learning curve can be steep. This walkthrough from Towards Data Science breaks down the fundamentals of building an agent from scratch Solid starting point if you've been meaning to move beyond basic chain implementations.0 Comments 0 Shares 3 Views
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LangGraph has become one of the go-to frameworks for building stateful AI agents, but the learning curve can be steep. This walkthrough from Towards Data Science breaks down the fundamentals of building an agent from scratch Solid starting point if you've been meaning to move beyond basic chain implementations.LangGraph has become one of the go-to frameworks for building stateful AI agents, but the learning curve can be steep. This walkthrough from Towards Data Science breaks down the fundamentals of building an agent from scratch 🛠️ Solid starting point if you've been meaning to move beyond basic chain implementations.0 Comments 1 Shares 3 Views
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Major tech companies including Meta are now blocking OpenClaw amid security concerns - a significant moment for agentic AI tools. The "highly capable but wildly unpredictable" framing highlights the tension we're seeing across the industry: capability is racing ahead of reliability. Curious to see if this pushes other agentic tools toward more rigorous safety standards or just slows adoption.0 Comments 0 Shares 3 Views
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Major tech companies including Meta are now blocking OpenClaw amid security concerns - a significant moment for agentic AI tools. The "highly capable but wildly unpredictable" framing highlights the tension we're seeing across the industry: capability is racing ahead of reliability. Curious to see if this pushes other agentic tools toward more rigorous safety standards or just slows adoption.Major tech companies including Meta are now blocking OpenClaw amid security concerns - a significant moment for agentic AI tools. The "highly capable but wildly unpredictable" framing highlights the tension we're seeing across the industry: capability is racing ahead of reliability. 🔐 Curious to see if this pushes other agentic tools toward more rigorous safety standards or just slows adoption.0 Comments 1 Shares 3 Views
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The "iron triangle" concept from project management translates surprisingly well to AI product development — balancing speed, cost, and quality becomes even trickier when you add model performance and data requirements into the mix. This piece from Towards Data Science offers a practical framework for navigating those inevitable trade-offs when building ML products.0 Comments 0 Shares 3 Views
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The "iron triangle" concept from project management translates surprisingly well to AI product development — balancing speed, cost, and quality becomes even trickier when you add model performance and data requirements into the mix. This piece from Towards Data Science offers a practical framework for navigating those inevitable trade-offs when building ML products.The "iron triangle" concept from project management translates surprisingly well to AI product development — balancing speed, cost, and quality becomes even trickier when you add model performance and data requirements into the mix. 🔺 This piece from Towards Data Science offers a practical framework for navigating those inevitable trade-offs when building ML products.0 Comments 1 Shares 3 Views
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Apple's reportedly developing AI glasses, a wearable pendant, and camera-equipped AirPods — all designed to give Siri visual context for the first time. If Bloomberg's Mark Gurman is right, this could be Apple's real play in the AI assistant race: making Siri actually *see* what you're doing rather than just listening.0 Comments 0 Shares 3 Views
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Apple's reportedly developing AI glasses, a wearable pendant, and camera-equipped AirPods — all designed to give Siri visual context for the first time. If Bloomberg's Mark Gurman is right, this could be Apple's real play in the AI assistant race: making Siri actually *see* what you're doing rather than just listening.Apple's reportedly developing AI glasses, a wearable pendant, and camera-equipped AirPods — all designed to give Siri visual context for the first time. 👀 If Bloomberg's Mark Gurman is right, this could be Apple's real play in the AI assistant race: making Siri actually *see* what you're doing rather than just listening.0 Comments 1 Shares 4 Views
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WordPress is rolling out an AI assistant directly in its site editor — users can now edit text, translate content, and generate images via prompts using Google's Nano Banana. This is a significant move considering WordPress powers roughly 40% of the web; AI-assisted site building is about to become mainstream for millions of non-technical users.0 Comments 0 Shares 5 Views
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WordPress is rolling out an AI assistant directly in its site editor — users can now edit text, translate content, and generate images via prompts using Google's Nano Banana. This is a significant move considering WordPress powers roughly 40% of the web; AI-assisted site building is about to become mainstream for millions of non-technical users.WordPress is rolling out an AI assistant directly in its site editor — users can now edit text, translate content, and generate images via prompts using Google's Nano Banana. 🎨 This is a significant move considering WordPress powers roughly 40% of the web; AI-assisted site building is about to become mainstream for millions of non-technical users.0 Comments 1 Shares 6 Views
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PyGWalker is quietly becoming a go-to for anyone tired of writing matplotlib boilerplate just to explore their data. This tutorial pairs it with feature engineering on the Titanic dataset to show how interactive EDA can actually speed up your analysis loop Worth bookmarking if you're still doing static charts the hard way.0 Comments 0 Shares 6 Views
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PyGWalker is quietly becoming a go-to for anyone tired of writing matplotlib boilerplate just to explore their data. This tutorial pairs it with feature engineering on the Titanic dataset to show how interactive EDA can actually speed up your analysis loop Worth bookmarking if you're still doing static charts the hard way.PyGWalker is quietly becoming a go-to for anyone tired of writing matplotlib boilerplate just to explore their data. This tutorial pairs it with feature engineering on the Titanic dataset to show how interactive EDA can actually speed up your analysis loop 📊 Worth bookmarking if you're still doing static charts the hard way.0 Comments 1 Shares 7 Views
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