The path from block-based programming to vibe coding represents a shift from mastering the mechanics of implementation to ...
Abstract: In recent years, video coding tools based on neural networks have emerged continuously, showing remarkable coding performance. Especially the neural network-based loop filter tools are ...
Nvidia has released ENPIRE, a framework that lets AI coding agents run the full loop of teaching robots new skills with no ...
I was in OpenAI’s first intern cohort. Here’s what it taught me about becoming an AI-native engineer
After working in OpenAI's first intern cohort, Hamza Mostafa learned that AI makes engineers faster but not necessarily better. The real skill is judgment: knowing what to trust, test, and question.
For roughly two years, working with a coding agent meant the same. You wrote a prompt, you read what came back, you typed the next thing. The agent was a tool and you held it the entire time, one turn ...
How to train government employees to work with AI agents effectively and prevent the risks before they happen. Your employees are already using AI. The question is whether they understand what it is ...
For the last few years, we have used coding agents in a very simple way. We write a prompt. The agent gives us an answer. We review it. Then we write the next prompt. This works, but it still means we ...
Mechanism-level reproduction of Google's Nested Learning (HOPE) architecture (HOPE blocks, CMS, and Self‑Modifying TITANs), matching the quality bar set by lucidrains' TITAN reference while remaining ...
Abstract: Repository-level code completion aims to generate code for unfinished code snippets within the context of a specified repository. Existing approaches mainly rely on retrievalaugmented ...
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