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Imagine having a casual chat online, assuming you’re speaking to a real person. But what if its not? What if, behind the screen, its an AI model trained to sound human? In a recent 2025 study, researchers from UC San Diego found that large language models like GPT-4.5 could convincingly pass as human, sometimes more […] The post AI Passes the Turing Test: How Are LLMs Like GPT-4.5 Fooling Humans?
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AI tools are changing how developers work, and Devin 2.0 is part of that shift. Built by Cognition AI, it improves on the previous version in many ways. Devin 2.0 is faster, more efficient, and easier to use. It supports planning, coding, debugging, and task execution with simple prompts. Unlike the earlier version, it now […] The post Devin 2.0 Explained: Features, Use Cases, and How It Compares to Windsurf and Cursor appeared first on Analytics Vidhya.
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Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
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Meta claims its new models are superior to those from OpenAI and Google across a broad range of benchmarks. Meta has announced the release of Llama 4, its newest collection of AI models that now power Meta AI on the web and in WhatsApp, Messenger, and Instagram Direct.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
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Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
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Learning how to use AI-powered tools effectively can help you make more money at your current job by becoming more valuable. You can also use these tools to bring in cash on the side. I'm a Self-Made.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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