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Your weekly dose of AI insights. Browse 15 issues covering the latest trends, research, and practical applications transforming the future.

Issue #42 - AI in 2026: The 'Show Me the Money' Year
Issue #42 • Jan 06, 2026

AI in 2026: The 'Show Me the Money' Year

Week 1 of 2026: ROI pressure, quantum bets, transformer plateau, and physical AI

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Issue #41 - What Are Tensors? (And Why Modern AI Needs Them)
Issue #41 • Dec 31, 2025

What Are Tensors? (And Why Modern AI Needs Them)

The multi-dimensional data structures that power modern AI architectures.

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Issue #40 - Training Neural Networks: The Complete Learning Loop
Issue #40 • Dec 29, 2025

Training Neural Networks: The Complete Learning Loop

The complete 7-step training loop: epochs, batches, overfitting, and when to stop.

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Issue #39 - How Neural Networks Actually Learn (Gradient Descent)
Issue #39 • Dec 20, 2025

How Neural Networks Actually Learn (Gradient Descent)

What gradient descent is, how it uses gradients to update weights, and why it's the optimization algorithm that makes neural network learning possible

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Issue #38 - Loss Functions - How Neural Networks Measure Their Mistakes
Issue #38 • Dec 12, 2025

Loss Functions - How Neural Networks Measure Their Mistakes

What loss functions are, why neural networks need them, and how to choose between MSE and cross-entropy for your problem

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Issue #37 - Activation Functions: Why Neural Networks Need Them
Issue #37 • Dec 04, 2025

Activation Functions: Why Neural Networks Need Them

Understand why neural networks need activation functions and how ReLU, Sigmoid, and Tanh introduce the non-linearity that makes deep learning work.

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Issue #36 - How Neural Networks Learn (Forward & Backward Propagation)
Issue #36 • Nov 29, 2025

How Neural Networks Learn (Forward & Backward Propagation)

Learn how neural networks learn through forward and backward propagation. Understand how data flows forward, errors are calculated, and weights get adjusted to improve predictions.

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Issue #35 - Inside a Neural Network: Neurons, Weights, and Biases Explained
Issue #35 • Nov 22, 2025

Inside a Neural Network: Neurons, Weights, and Biases Explained

The building blocks of neural networks. How neurons, weights, and biases work together to help AI learn patterns from data.

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Issue #34 - Understanding Neural Networks: The tech behind today's AI
Issue #34 • Nov 15, 2025

Understanding Neural Networks: The tech behind today's AI

Your guide to neural networks: what they are, why they matter, and the different types powering AI today.

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Issue #33 - ChatGPT Atlas Launches—Privacy Concerns Emerge
Issue #33 • Oct 29, 2025

ChatGPT Atlas Launches—Privacy Concerns Emerge

OpenAI shipped ChatGPT Atlas browser on October 21, embedding chat directly into browsing. Sidebars, agent mode, browser memory—and serious CSRF vulnerabilities.

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Issue #32 - Vercel's Agent SDK 6 Goes Production
Issue #32 • Oct 27, 2025

Vercel's Agent SDK 6 Goes Production

Vercel shipped AI SDK 6 with agent abstraction, human-in-the-loop approvals, and an expanded marketplace—making agent development production-ready.

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Issue #31 - GitHub Model Deprecation: Your Copilot Models Just Changed
Issue #31 • Oct 24, 2025

GitHub Model Deprecation: Your Copilot Models Just Changed

On October 23, 2025, GitHub deprecated Claude Sonnet 3.7, Claude Opus 4, GPT-4, and Gemini 2.0 Flash across all Copilot experiences. Developers must migrate workflows immediately or face broken integrations.

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Issue #30 - Warp 2.0 Kills the IDE—At Least for Agent-Based Workflows
Issue #30 • Oct 22, 2025

Warp 2.0 Kills the IDE—At Least for Agent-Based Workflows

Warp's Agentic Development Environment is forcing developers to rethink their entire workflow. Heavy users save 6-7 hours weekly running multiple agents in parallel, with a 95% code acceptance rate across 75 million lines generated.

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Issue #29 - AMD Launches Open Source AI Week to Challenge NVIDIA Dominance
Issue #29 • Oct 21, 2025

AMD Launches Open Source AI Week to Challenge NVIDIA Dominance

AMD's three-day developer event kicks off Open Source AI Week, featuring PyTorch hackathons and strategic partnerships targeting open AI infrastructure.

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Issue #28 - Anthropic Fixes AI Context Limits with New Memory Tools
Issue #28 • Oct 17, 2025

Anthropic Fixes AI Context Limits with New Memory Tools

Context editing and memory tools eliminate agent token limits, enabling 30+ hour autonomous tasks with 39% performance boost.

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