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Deb8flow: Orchestrating Autonomous AI Debates with LangGraph and GPT-4o

ContentsI’ve been fascinated by debates—the strategic framing, the sharp retorts, and the carefully timed comebacks. Debates aren’t just entertaining; they’re structured battles of ideas, driven by logic and evidence. Recently, I started wondering: could we replicate that dynamic using AI agents—having them debate each other autonomously, complete with real-time fact-checking and moderation? The result was …

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Discovering novel algorithms with AlphaTensor

Research Published 5 October 2022 Authors Alhussein Fawzi, Matej Balog, Bernardino Romera-Paredes, Demis Hassabis, Pushmeet Kohli First extension of AlphaZero to mathematics unlocks new possibilities for research Algorithms have helped mathematicians perform fundamental operations for thousands of years. The ancient Egyptians created an algorithm to multiply two numbers without requiring a multiplication table, and Greek …

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Avoiding Costly Mistakes with Uncertainty Quantification for Algorithmic Home Valuations

a home, whether you’re an everyday buyer looking for your dream house or a seasoned property investor, there’s a good chance you’ve encountered automated valuation models, or AVMs. These clever tools use massive datasets filled with past property transactions to predict the value of your potential new home. By considering features like location, number of …

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How undesired goals can arise with correct rewards

Research Published 7 October 2022 Authors Rohin Shah, Victoria Krakovna, Vikrant Varma, Zachary Kenton Exploring examples of goal misgeneralisation – where an AI system’s capabilities generalise but its goal doesn’t As we build increasingly advanced artificial intelligence (AI) systems, we want to make sure they don’t pursue undesired goals. Such behaviour in an AI agent …

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Evaluating potential cybersecurity threats of advanced AI

Artificial intelligence (AI) has long been a cornerstone of cybersecurity. From malware detection to network traffic analysis, predictive machine learning models and other narrow AI applications have been used in cybersecurity for decades. As we move closer to artificial general intelligence (AGI), AI’s potential to automate defenses and fix vulnerabilities becomes even more powerful. But …

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Are We Watching More Ads Than Content? Analyzing YouTube Sponsor Data

not the only person who feels that YouTube sponsor segments have become longer and more frequent recently. Sometimes, I watch videos that seem to be trying to sell me something every couple of seconds. , it sure is annoying to be bombarded by ads.  In this blog post, I will explore these sponsor segments, using …

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Taking a responsible path to AGI

We’re exploring the frontiers of AGI, prioritizing readiness, proactive risk assessment, and collaboration with the wider AI community. Artificial general intelligence (AGI), AI that’s at least as capable as humans at most cognitive tasks, could be here within the coming years. Integrated with agentic capabilities, AGI could supercharge AI to understand, reason, plan, and execute …

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The Case for Centralized AI Model Inference Serving

models continue to increase in scope and accuracy, even tasks once dominated by traditional algorithms are gradually being replaced by Deep Learning models. Algorithmic pipelines — workflows that take an input, process it through a series of algorithms, and produce an output — increasingly rely on one or more AI-based components. These AI models often …

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Measuring perception in AI models

New benchmark for evaluating multimodal systems based on real-world video, audio, and text data From the Turing test to ImageNet, benchmarks have played an instrumental role in shaping artificial intelligence (AI) by helping define research goals and allowing researchers to measure progress towards those goals. Incredible breakthroughs in the past 10 years, such as AlexNet …

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