Setting Goals for Your Team When the Path Isn’t Clear
How to keep moving forward when your organization’s strategy is evolving and conditions keep shifting.
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As AI Grows More Complex, Model Builders Rely on NVIDIA
Unveiling what it describes as the most capable model series yet for professional knowledge work, OpenAI launched GPT-5.2 today. The model was trained and deployed on NVIDIA infrastructure, including NVIDIA Hopper and GB200 NVL72 systems. It’s the latest example of how leading AI builders train and deploy at scale on NVIDIA’s full-stack AI infrastructure. Pretraining: The Bedrock of Intelligence AI models are getting more capable thanks to three scaling laws: pretraining, post-training and test-time scaling. Reasoning models, which […]
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BondingAI Acquires GenAItechLab, Add Core Team Members
BondingAI acquisition of GenAItechLab.com was recently completed, including all the IP related to the xLLM technology, the material published on MLtechniques and the most recent technology pertaining to deep neural networks watermarking. GenAItechLab was founded in 2024 by Vincent Granville, a world-class leader and well-known scientist building innovative and efficient AI solutions from scratch, hallucination-free, without Blackbox or GPU, yet delivering better results faster. Doctor Granville is now Chief AI Architect, co-founder and investor at BondingAI. In the […]
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Avalon Is Thanksgiving for America
Barry Levinson was one of the most successful directors in America around 1990, when he made Avalon, an immigrant Thanksgiving movie trying to sum up the transformation of the American family in the 20th century. Continue Reading…
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The Streisand Effect and Nick Fuentes
submitted by /u/Knorssman [link] [comments]
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New tool makes generative AI models more likely to create breakthrough materials
The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few years, generative materials models from companies like Google, Microsoft, and Meta have drawn on their training data to help researchers design tens of millions of new materials. But when it comes to designing materials with exotic quantum properties like superconductivity or unique magnetic states, those models struggle. That’s too bad, because humans could use the help. For example, […]
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The Machine Learning “Advent Calendar” Day 6: Decision Tree Regressor
During the first days of this Machine Learning Advent Calendar, we explored models based on distances. Today, we switch to a completely different way of learning: Decision Trees. With a simple one-feature dataset, we can see how a tree chooses its first split. The idea is always the same: if humans can guess the split visually, then we can rebuild the logic step by step in Excel. By listing all possible split values and computing the MSE for […]
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The Machine Learning “Advent Calendar” Day 8: Isolation Forest in Excel
Isolation Forest may look technical, but its idea is simple: isolate points using random splits. If a point is isolated quickly, it is an anomaly; if it takes many splits, it is normal. Using the tiny dataset 1, 2, 3, 9, we can see the logic clearly. We build several random trees, measure how many splits each point needs, average the depths, and convert them into anomaly scores. Short depths become scores close to 1, long depths close […]
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Masked agents chased the wrong woman and DHS says the system worked
submitted by /u/eaglemaxie [link] [comments]
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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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