The Rise of Small Reasoning Models: Can Compact AI Match GPT-Level Reasoning?

In recent years, the AI field has been captivated by the success of large language models (LLMs). Initially designed for natural language processing, these models have evolved into powerful reasoning tools capable of tackling complex problems with human-like step-by-step thought process. However, despite their exceptional reasoning abilities, LLMs come with significant drawbacks, including high computational…

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NotebookLM Review: The Future of Research Unlocked

Have you ever stared at a massive document with the deadline looming and thought, “There’s no way I’m getting through all of this?” We’ve all been there, drowning in tabs, buried under PDFs, and juggling half-finished Google Docs. Whether you’re a student piecing together a paper, a creator wrestling with research, or a professional trying…

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A Notable Advance in Human-Driven AI Video

Note: The project page for this work includes 33 autoplaying high-res videos totaling half a gigabyte, which destabilized my system on load. For this reason, I won’t link to it directly. Readers can find the URL in the paper’s abstract or PDF if they choose. One of the primary objectives in current video synthesis research…

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John Beeler, Ph.D., SVP of Business Development, BPGbio – Interview Series

John Beeler, Ph.D., SVP of Business Development at BPGbio, brings over two decades of experience in biotechnology and business development, with extensive expertise in novel therapeutics. Before joining BPGbio, he most recently served as Business Development Search & Evaluation Lead at Bristol-Myers Squibb where he was pivotal in sourcing and evaluating licensing opportunities and strategic partnerships. BPGbio…

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Taking the “training wheels” off clean energy

Renewable power sources have seen unprecedented levels of investment in recent years. But with political uncertainty clouding the future of subsidies for green energy, these technologies must begin to compete with fossil fuels on equal footing, said participants at the 2025 MIT Energy Conference. “What these technologies need less is training wheels, and more of…

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Bridging the AI Agent Gap: Implementation Realities Across the Autonomy Spectrum

Recent survey data from 1,250+ development teams reveals a striking reality: 55.2% plan to build more complex agentic workflows this year, yet only 25.1% have successfully deployed AI applications to production. This gap between ambition and implementation highlights the industry’s critical challenge: How do we effectively build, evaluate, and scale increasingly autonomous AI systems? Rather…

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