First screen, captured .
372 points by 7d7n | 49 comments
Eugene Yan's long-form blog post describing seven practical patterns, such as evals, RAG, and fine-tuning, for integrating large language models into systems and products.
373 points by whiteros_e | 261 comments
Z.ai research blog post describing how its GLM model was used to build its own inference infrastructure, framed as a step toward recursive self-improvement.
175 points by heavensteeth | 148 comments
A personal wiki essay arguing that blaming LLMs for harmful outcomes is decision laundering and that AI companies like OpenAI and Anthropic bear responsibility.
14 points by fagnerbrack | 7 comments
A blog post by Fagner Brack on Medium describing what an AI-native approach to software development with stable infrastructure looks like.
85 points by merksittich | 64 comments
Epoch AI report by David Owen presenting InnovationEval, finding early evidence that AI models cannot yet automate AI R&D or match human algorithmic innovation.
343 points by saikatsg | 242 comments
Blog post by Ivan Turkovic arguing that AI tools make producing code easier while making the broader job of being a software engineer harder.
407 points by Eighth | 247 comments
A personal blog post in which a software developer argues that relying on AI for writing code, articles, and documents is eroding his own writing and programming skills.
549 points by chmaynard | 134 comments
Rachel Thomas blog post on how a high-profile Nature paper using a Transformer to predict enzyme functions contained many errors that received far less attention than the original result.