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The Day AI Started Acting on Its Own #2 — Inside the Ultra Deep Layer (B3)
The Day AI Started Acting on Its Own #2 — Inside the Ultra Deep Layer (B3) SummaryAI is a machine — yet at times, it seems to act on its own. This second article in the three-part series explores what happens when AI reaches a “Ultra deep layer” of interaction. Based on real experiences with GPT, Claude, and Gemini, I…
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Can AI Replace HRs?
From resume scans to automated rejection emails, AI is already transforming the hiring process. Photo by Campaign Creators on Unsplash Some startups boast they havee cut down recruitment time by 70% — all thanks to bots. But as AI tightens its grip on workplaces, one big question remains: Can AI truly replace Human Resources? Or are we oversimplifying what HR…
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Humans in the loop: How leading companies are building practical, trustworthy AI
At the NYC Generative AI Summit, experts from Wayfair, Morgan & Morgan, and Prolific came together to explore one of AI’s most pressing questions: how do we balance the power of automation with the necessity of human judgment? From enhancing customer service at scale to navigating the complexity of legal workflows and optimizing human data…
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Human + AI: Rethinking the roles and skills of knowledge workers
Artificial intelligence is not just another gadget; it’s already shaking up how white-collar jobs work. be important. Critical and strategic thinking When routine tasks are automated, the human side of problem framing, strategy, and design can shine through. This means developing, along with domain expertise, long-term thinking: choosing the right technology tools, architecting resilient systems,…
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How TigerEye is redefining AI-powered business intelligence
At the Generative AI Summit in Silicon Valley, Ralph Gootee, Co-founder of TigerEye, joined Tim Mitchell, Business Line Lead, Technology at the AI Accelerator Institute, to discuss how AI is transforming business intelligence for go-to-market teams. In this interview, Ralph shares lessons learned from building two companies and explores how TigerEye is rethinking business intelligence…
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Mirage: Multimodal Reasoning in VLMs Without Rendering Images
While VLMs are strong at understanding both text and images, they often rely solely on text when reasoning, limiting their ability to solve tasks that require visual thinking, such as spatial puzzles. People naturally visualize solutions rather than describing every detail, but VLMs struggle to do the same. Although some recent models can generate both…
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GLM-4.1V-Thinking: Advancing General-Purpose Multimodal Understanding and Reasoning
Vision-language models (VLMs) play a crucial role in today’s intelligent systems by enabling a detailed understanding of visual content. The complexity of multimodal intelligence tasks has grown, ranging from scientific problem-solving to the development of autonomous agents. Current demands on VLMs have far exceeded simple visual content perception, with increasing attention on advanced reasoning. While…
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NVIDIA AI Releases Canary-Qwen-2.5B: A State-of-the-Art ASR-LLM Hybrid Model with SoTA Performance on OpenASR Leaderboard
NVIDIA has just released Canary-Qwen-2.5B, a groundbreaking automatic speech recognition (ASR) and language model (LLM) hybrid, which now tops the Hugging Face OpenASR leaderboard with a record-setting Word Error Rate (WER) of 5.63%. Licensed under CC-BY, this model is both commercially permissive and open-source, pushing forward enterprise-ready speech AI without usage restrictions. This release marks…
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Mistral AI gives Le Chat voice recognition and deep research tools
Mistral AI has updated Le Chat with voice recognition, deep research tools, and other features to make the chatbot a more helpful assistant. The company believes that the best AI assistants should help you dive deeper into your thoughts and maintain the flow of conversation. As Mistral AI put it, chatbots are at their best…
