In a thought-provoking statement on X, former OpenAI researcher Andrej Karpathy has painted a vision of the future where large language models (LLMs) become the primary interface for digital content. This perspective suggests a fundamental shift in how we create, structure, and optimize information in the coming years. The 99.9% Optimization Shift While Karpathy acknowledges...
Author: Martin Treiber
Vibe Coding: A Successor to literate Programming?
Literate programming and vibe coding represent two distinct paradigms in software development, emerging in different eras with different motivations. Literate programming was introduced by Donald Knuth in the 1980s as a way to write programs as works of literature – focusing on explanation and human readability over machine-oriented structure (Donald Knuth). In contrast, vibe coding...
Vibe Coding in Software Engineering
Vibe coding is a programming approach where developers rely on intuition and an organic “flow” state rather than formal planning or strict methodologies. In practice, this often means jumping straight into coding with minimal upfront design or documentation. Advocates argue that this free-form style can boost creativity and speed, but it also raises concerns in...
What are Boomer Prompts?
Boomer prompts are a conversational AI interaction style characterized by polite language, emotional context cues (often emojis), and explicit framing to guide AI responses. This approach contrasts with hyper-efficient "developer prompts" that rely on technical markup or the irony-driven "millennial prompts" emerging in response. Key Features of Boomer Prompts: Emotional Anchoring Emojis like 😊 and...
Vibe Coding: Embracing the AI Revolution in Software Development
Throughout the evolution of coding styles—from procedural and object-oriented programming to agile and DevOps methodologies—developers have continually refined their approaches. Now, a new coding paradigm is emerging—vibe coding. Coined by OpenAI cofounder Andrej Karpathy, vibe coding represents a radical shift from traditional software development. Rather than painstakingly writing every line of code, developers now harness the...
Installing and Running DeepSeek-R1 Locally on Your Machine
In the era of large language models, the Chinese model DeepSeek-R1 has become a hot topic—not least because it can be run on conventional hardware right at home. This article explains how to install and run DeepSeek-R1 locally without relying on remote servers. We’ll discuss the model’s unique features, present three different desktop tools for...
AI’s Emerging Preference Systems
A paper from researchers at the Center for AI Safety, University of Pennsylvania, and UC Berkeley has uncovered something surprising about large language models (LLMs): they develop coherent, structured preferences that become more organized as the models get larger. This finding challenges some common assumptions about how AI systems work and raises important questions about...
The Great Knowledge Work Revolution: How AI Could Transform One-Fifth of Global Jobs
Picture a world where artificial intelligence can read every research paper ever written in minutes, analyze complex market trends instantly, and draft comprehensive reports while you sleep. This isn't science fiction—it's the promise of Deep Research from OpenAI, and it's poised to revolutionize how knowledge workers work in ways we're only beginning to understand. A...
Breaking Down Data Silos with Email-Based AI Agents
Picture your organization's data ecosystem as an ancient city. In one quarter, sales records are meticulously kept in towering databases. Across town, customer stories echo through spreadsheets and feedback forms. And in yet another district, market insights are sealed away in countless reports and presentations. Between these quarters stand invisible walls – not of stone...
Training Data: The Source Code of the AI Era
In software development, we've long understood the distinction between source code and compiled binaries. Source code is what programmers write - the human-readable instructions that define a program's behavior. When we compile this code, we transform it into machine code that computers can execute efficiently. This compilation process necessarily obscures the original logic, making the...
