Emergent Introspective Awareness in Large Language Models
An overview, summary, and position of cutting-edge research conducted on the emergent topic of LLM introspection on self internal states
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Google is testing AI-powered article overviews on select publications’ Google News pages
Google is testing AI-powered article overviews on participating publications’ Google News pages as part of a new pilot program, the search giant announced on Wednesday. News publishers participating in the pilot program include Der Spiegel, El País, Folha, Infobae, Kompas, The Guardian, The Times of India, The Washington Examiner, and The Washington Post, among others. […]
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7 Steps to Mastering Agentic AI
As AI systems begin handling more complex, multi-stage tasks, understanding agentic design is becoming essential. This article outlines seven practical steps to build reliable, effective AI agents.
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How to overturn three judge-created doctrines
And reestablish justice The post How to overturn three judge-created doctrines appeared first on Downsize DC.
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TPOT: Automating ML Pipelines with Genetic Algorithms in Python
You can train, evaluate, and export a full ML pipeline in Python using TPOT with just a few lines of code.
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Finding Meaningful Work in the Age of Vibe Coding
Vibe coding has devalued coding. Is there any meaningful work still left for us?
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Nanbeige4-3B-Thinking: How a 23T Token Pipeline Pushes 3B Models Past 30B Class Reasoning
Can a 3B model deliver 30B class reasoning by fixing the training recipe instead of scaling parameters? Nanbeige LLM Lab at Boss Zhipin has released Nanbeige4-3B, a 3B parameter small language model family trained with an unusually heavy emphasis on data quality, curriculum scheduling, distillation, and reinforcement learning. The research team ships 2 primary checkpoints, Nanbeige4-3B-Base and Nanbeige4-3B-Thinking, and evaluates the reasoning tuned model against Qwen3 checkpoints from 4B up to 32B parameters. https://arxiv.org/pdf/2512.06266 Benchmark results On AIME […]
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Charting the future of AI, from safer answers to faster thinking
Adoption of new tools and technologies occurs when users largely perceive them as reliable, accessible, and an improvement over the available methods and workflows for the cost. Five PhD students from the inaugural class of the MIT-IBM Watson AI Lab Summer Program are utilizing state-of-the-art resources, alleviating AI pain points, and creating new features and capabilities to promote AI usefulness and deployment — from learning when to trust a model that predicts another’s accuracy to more effectively reasoning […]
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EU launches antitrust probe into Google’s AI search tools
The European Commission is investigating Google over its AI summaries.
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How to Get AI to Deliver Superior ROI, Faster
Reducing total cost of ownership (TCO) is a topic familiar to all enterprise executives and stakeholders. Here, I discuss optimization strategies in the context of AI adoption. Whether you build in-house solutions, or purchase products from AI vendors. The focus is on LLM products, featuring new trends in Enterprise AI to boost ROI. Besides the technological aspects, I also discuss the human aspects. I discussed the topic at a recent webinar. You can watch the recording, here. What is […]
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