How Apple Lost the AI Race Ahead of WWDC 2025

Apple is stumbling into its developer conference with broken promises, delayed features, and AI models that pale against competitors—risking an exodus of AI-first users who increasingly see their iPhones as expensive relics in an AI-powered world. The warning signs are everywhere. Bloomberg’s Mark Gurman reports that Apple insiders expect WWDC 2025 to be a letdown….

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Teaching AI models what they don’t know

Artificial intelligence systems like ChatGPT provide plausible-sounding answers to any question you might ask. But they don’t always reveal the gaps in their knowledge or areas where they’re uncertain. That problem can have huge consequences as AI systems are increasingly used to do things like develop drugs, synthesize information, and drive autonomous cars. Now, the…

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How Good Are AI Agents at Real Research? Inside the Deep Research Bench Report

As large language models (LLMs) rapidly evolve, so does their promise as powerful research assistants. Increasingly, they’re not just answering simple factual questions—they’re tackling “deep research” tasks, which involve multi-step reasoning, evaluating conflicting information, sourcing data from across the web, and synthesizing it into a coherent output. This emerging capability is now being marketed under…

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Strengthening U.S. Chip Manufacturing – The Key to AI Leadership

For the past several weeks, headlines have been screaming about the looming threat and potential impact of U.S. import tariffs being imposed on semiconductors. Truthfully, I don’t think implementation of these tariffs will ever happen because they would result in such significant supply chain disruption, the nasty effects of which are still all too fresh…

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AI stirs up the recipe for concrete in MIT study

For weeks, the whiteboard in the lab was crowded with scribbles, diagrams, and chemical formulas. A research team across the Olivetti Group and the MIT Concrete Sustainability Hub (CSHub) was working intensely on a key problem: How can we reduce the amount of cement in concrete to save on costs and emissions?  The question was…

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LuminX Secures $5.5M to Make Warehousing Intelligent with Vision Language Models on the Edge

LuminX, a San Francisco-based AI company redefining warehouse operations, has announced a $5.5 million seed funding round to advance its mission of embedding Vision Language Models (VLMs) directly into warehouse environments. The round, led by 1Sharpe, GTMFund, 9Yards, Chingona Ventures, and the Bond Fund, is set to accelerate the development of LuminX’s groundbreaking inventory automation…

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