Engineering Insights

AI safety needs social scientists

We’ve written a paper arguing that long-term AI safety research needs social scientists to ensure AI alignment algorithms succeed when actual humans are involved. Properly aligning advanced AI systems with human values requires resolving many uncertainties related to the psychology of human rationality, emotion, and biases. The aim of this paper is to spark further collaboration between machine learning and social science researchers, and we plan to hire social scientists to work on this full ti

Node.js 11.10.0 (Current)

Better language models and their implications

We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization—all without task-specific training.

How to Use GraphQL Nexus with a Database | Prisma

Learn how to connect GraphQL Nexus to a database with Prisma Client and the Nexus Prisma plugin.

Next.js 8

Next.js 8 introduces Serverless Mode, smaller bundles, performance improvements, and more.

GraphQL Nexus: Code-First GraphQL Server Development | Prisma

Meet GraphQL Nexus, a code-first library for building GraphQL servers with type-safe schemas and a better developer workflow.

Computational limitations in robust classification and win-win results

The Problems of "Schema-First" GraphQL Server Development | Prisma

Explore the limitations of schema-first GraphQL server development and the case for code-first alternatives like GraphQL Nexus.