artificial intelligence

What I Am Doing to Stay Relevant as a Senior Analytics Consultant in 2026

for analytics. Generative AI isn't any longer a side experiment or productivity hack. With increased access to generative AI tools like ChatGPT, Copilot, and AI-native features embedded across the analytics tools and platforms in...

Prompt Fidelity: Measuring How Much of Your Intent an AI Agent Actually Executes

Spotify just shipped “Prompted Playlists” in beta. I built just a few playlists and discovered that the LLM behind the agent tries to meet your request, but fails since it doesn’t know enough but...

OpenAI, Anthropic fight on the frontier

Good morning, { AI enthusiasts }. Yesterday, it was Super Bowl attack ads. Today, OpenAI and Anthropic are letting the models do the talking.With back-to-back flagship drops that pushed agentic coding, self-improving AI, and...

Mechanistic Interpretability: Peeking Inside an LLM

Intro tips on how to examine and manipulate an LLM’s neural network. That is the subject of mechanistic interpretability research, and it could answer many exciting questions. Remember: An LLM is a deep artificial neural...

Anthropic’s ad-free campaign takes aim at OpenAI

Good morning, { AI enthusiasts }. The Claude vs. ChatGPT battle just went mainstream, and Anthropic is coming out swinging on promoting's biggest stage.The corporate's Super Bowl campaign takes direct aim at OpenAI's decision...

Tips on how to Work Effectively with Frontend and Backend Code

are often divided right into a separate frontend and backend. The frontend handles what the user sees, while the backend handles all the logic and processing. This can be a natural separation of...

Sam Altman’s OpenAI succession plan

Good morning, { AI enthusiasts }. No one in AI drives the narrative quite like Sam Altman, and his most up-to-date profile didn’t disappoint. From revealing a succession plan at hand OpenAI to an...

The Proximity of the Inception Rating as an Evaluation Criterion

Introduction Lately, Generative Adversarial Networks (GANs) have achieved remarkable ends in automatic image synthesis. Nonetheless, objectively evaluating the standard of the generated data stays an open challenge. Unlike discriminative models, for which established metrics exist,...

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