Meta’s upcoming ‘Avocado’ AI model could be a part of effort to rebalance its open-source vision

Meta’s upcoming ‘Avocado’ AI model could be a part of effort to rebalance its open-source vision

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Key Highlights: Meta is among the few tech giants that advocate open-source AI (like its Llama models) for innovation, security through community testing, cost-effectiveness for businesses, and preventing gatekeeping. But it seems Meta has realized the future with open-source AI isn’t worth it, as that goodwill won’t pay the bills for its $600 billion investment pledge in the US infrastructure. Meta is reportedly working on a “closed” model, codenamed “Avocado” Well, this comes after disappointment around Meta’s recent […]

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I Let an AI Take Over My Downloads Folder… and It Actually Worked

I Let an AI Take Over My Downloads Folder… and It Actually Worked

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Author(s): Manash Pratim Originally published on Towards AI. A tiny local language model now organizes my files in real time for free, offline, and with zero rules. My Downloads folder used to feel like a crime scene. iMAGE GENERATED USING AIThe article discusses the author’s experience with automating the organization of their Downloads folder using a local AI agent that analyzes new files and categorizes them appropriately without any predetermined rules. The system consists of a few components […]

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Have You Heard? 5 AI Podcast Episodes Listeners Loved in 2024

Have You Heard? 5 AI Podcast Episodes Listeners Loved in 2024

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NVIDIA’s AI Podcast gives listeners the inside scoop on the ways AI is transforming nearly every industry.  Since the show’s debut in 2016, it’s garnered more than 6 million listens across 200-plus episodes, covering how generative AI is used to power applications including assistive technology for the visually impaired, wildfire alert systems and the Roblox online game platform.   Here are the top five episodes of 2024: Driving Energy Efficiency, Sustainability The AI Podcast · NVIDIA’s Josh Parker on […]

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What EFF Needs in a New Executive Director

What EFF Needs in a New Executive Director

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By Gigi Sohn, Chair, EFF Board of Directors  With the impending departure of longtime, renowned, and beloved Executive Director Cindy Cohn, EFF and leadership advisory firm Russell Reynolds Associates have developed a profile for her successor.  While Cindy is irreplaceable, we hope that everyone who knows and loves EFF will help us find our next leader.   First and foremost, we are looking for someone who’ll meet this pivotal moment in EFF’s history. As authoritarian surveillance creeps around […]

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The Machine Learning “Advent Calendar” Day 7: Decision Tree Classifier

The Machine Learning “Advent Calendar” Day 7: Decision Tree Classifier

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In Day 6, we saw how a Decision Tree Regressor finds its optimal split by minimizing the Mean Squared Error. Today, for Day 7 of the Machine Learning “Advent Calendar”, we switch to classification. With just one numerical feature and two classes, we explore how a Decision Tree Classifier decides where to cut the data, using impurity measures like Gini and Entropy. Even without doing the math, we can visually guess possible split points. But which one is […]

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Zhipu AI Releases GLM-4.6V: A 128K Context Vision Language Model with Native Tool Calling

Zhipu AI Releases GLM-4.6V: A 128K Context Vision Language Model with Native Tool Calling

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Zhipu AI has open sourced the GLM-4.6V series as a pair of vision language models that treat images, video and tools as first class inputs for agents, not as afterthoughts bolted on top of text. Model lineup and context length The series has 2 models. GLM-4.6V is a 106B parameter foundation model for cloud and high performance cluster workloads. GLM-4.6V-Flash is a 9B parameter variant tuned for local deployment and low latency use. GLM-4.6V extends the training context […]

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How to Build a Meta-Cognitive AI Agent That Dynamically Adjusts Its Own Reasoning Depth for Efficient Problem Solving

How to Build a Meta-Cognitive AI Agent That Dynamically Adjusts Its Own Reasoning Depth for Efficient Problem Solving

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In this tutorial, we build an advanced meta-cognitive control agent that learns how to regulate its own depth of thinking. We treat reasoning as a spectrum, ranging from fast heuristics to deep chain-of-thought to precise tool-like solving, and we train a neural meta-controller to decide which mode to use for each task. By optimizing the trade-off between accuracy, computation cost, and a limited reasoning budget, we explore how an agent can monitor its internal state and adapt its […]

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