Insights
Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
Curated links from external sources — not 360Softy original articles.
We’re excited to announce that OpenAI is co-organizing two NeurIPS 2020 competitions with AIcrowd, Carnegie Mellon University, and DeepMind, using Procgen Benchmark and MineRL.
We find that, just as a large transformer model trained on language can generate coherent text, the same exact model trained on pixel sequences can generate coherent image completions and samples. By establishing a correlation between sample quality and image classification accuracy, we show that our best generative model also contains features competitive with top convolutional nets in the unsupervised setting.
We’re releasing an API for accessing new AI models developed by OpenAI.
Here at PlanetScale we hear some concerns about the reliability of Vitess and its capabilities with regards to data loss. When one hears “cloud-native, highly-available, distributed database running on Kubernetes,” it does sound too good to be true, so we understand the initial apprehension. Even though multiple reputable companies such as Slack, Square, GitHub, and JD run their production databases on Vitess, we still get questions about whether or not Vitess will lose data. We’re here to debun
Prisma 2 introduced a type-safe database client and declarative migrations to make working with databases in Node.js and TypeScript faster and more reliable.
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