A popular Reddit post highlights a video demonstrating a "Fully Hallucinated Operating System" run entirely inside an LLM. By prompting the model to act as a terminal, it simulates file systems, network requests, and command execution purely through text generation. While impractical for production, this experiment showcases the impressive state-tracking and "world model" capabilities of modern LLMs.
The Datasette plugin `datasette-llm`, maintained by well-known open-source developer Simon Willison, has released version 0.1a8 today. Datasette is an…
In its latest technical blog post, Vercel shared a significant finding regarding AI Agent architecture: in their Agent Evaluations (Agent Evals), using a…
As AI tools (such as ChatGPT, Claude, and others) become more prevalent in the workplace, we are increasingly relying on them for decision-making advice…
Wharton School professor Ethan Mollick has put together a highly personal and practical operating guide for the AI landscape of late 2025. He emphasizes that…
University of Pennsylvania Wharton School professor Ethan Mollick recently published an extremely practical AI quick guide, "Using AI Right Now: A Quick…
As generative AI applications become more widespread, one of the biggest challenges developers face is the "non-deterministic" output of large language models…
As large language models (LLMs) shift toward conversational (Chat/Instruct) applications, correctly formatting and feeding a user's conversation history —…
This is a practical prompting guide for Llama 2, written by the Replicate team. Unlike OpenAI's GPT series models, the open-source model Llama 2 has extremely…
This Hugging Face blog post details how to use open-source machine learning models to build a "Text-to-Web-App" generator. With the breakthroughs large…
In the field of natural language processing (NLP), the emergence of GPT-3 demonstrated the tremendous power of "Few-shot Learning" — where a model only needs…