Immigration thugs deploy to Minnesota, kidnapping 19 people and sexually assaulting a US citizen
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Video shows SDPD officers kneeling on man who later died for nearly 8 minutes outside bar in Gaslamp Quarter
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Lessons from a Record-Setting NFL Kicker on Performing Under Pressure
Tune out external criticism, focus on process over outcomes, and embrace reflection and routine.
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Last Week in AI: OpenAI ‘Code Red’, Anthropic’s $15B Deal, Claude 4.5, Gemini 3, Mistral Models (Nov 24–30, 2025)
Author(s): AIversity Originally published on Towards AI. Your weekly AI roundup: Big funding, new models, AWS agent launches, Tesla’s AI5 chip, EU AI Act updates, and what it means for builders and businesses. Keep reading for links, benchmarks, and takeaway This article is 100% free to read! Non-members can read for free by clicking “MY FRIEND LINK” here! Image by AuthorThis article discusses the significant developments in the AI space from the past week, highlighting major funding events, […]
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An American Holiday: The Moral Meaning Behind Thanksgiving
Ayn Rand described Thanksgiving as “a typically American holiday . . . its essential, secular meaning is a celebration of successful production. It is a producers’ holiday. The lavish meal is a symbol of the fact that abundant consumption is the result and reward of production.”
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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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Language Models: A 75-Year Journey That Didn’t Start With Transformers
Introduction Language models have existed for decades — long before today’s so-called “LLMs.” In the 1990s, IBM’s alignment models and smoothed n-gram systems trained on hundreds of millions of words set performance records. By the 2000s, the internet’s growth enabled “web as corpus” datasets, pushing statistical models to dominate natural language processing (NLP). Yet, many believe language modelling began in 2017 with Google’s Transformer architecture and BERT. In reality, Transformers revolutionized scalability but were just one step in a much […]
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Video: the LLM 2.0 Revolution
What if you could build a secure, scalable RAG+LLM system – no GPU, no latency, no hallucinations? In this session, Vincent Granville shares how to engineer high-performance, agentic multi-LLMs from scratch using Python. Learn how to rethink everything from token chunking to sub-LLM selection to create AI systems that are explainable, efficient, and designed for enterprise-scale applications. What you’ll learn: How to build LLM systems without deep neural nets or GPUs Real-time fine-tuning, self-tuning, and context-aware retrieval Best […]
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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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KV Cache Optimization via Tensor Product Attention
Home Table of Contents KV Cache Optimization via Tensor Product Attention Challenges with Grouped Query and Multi-Head Latent Attention Multi-Head Attention (MHA) Grouped Query Attention (GQA) Multi-Head Latent Attention (MLA) Tensor Product Attention (TPA) TPA: Tensor Decomposition of Q, K, V Latent Factor Maps and Efficient Implementation Attention Computation and RoPE Integration KV Caching and Memory Reduction with TPA PyTorch Implementation of Tensor Product Attention (TPA) Tensor Product Attention with KV Caching Transformer Block Inferencing Code Experimentation Summary […]
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