It's probably impossible to detect ALL languages without training for them specifically, but there's good generalization happening. Our model is a unified model rather than a separate model per language. We started out with language-specific models but found that the unified approach yielded slightly better results in addition to being more efficient to train.
Candidly, it's a bit of a black box still. We hope to do some ablation studies soon, but we tried to have a variety of formatting and commenting styles represented in both training and evaluation.
I'd argue that knowing AI generated code shipped into production is the first step to understanding the impact of AI coding assistants on velocity and quality. When paired with additional context, it can help leaders understand how to improve proficiency around these tools.
I'm the founder of a real estate tech startup that caters to realtors.
This article was written before Opendoor and before a record breaking $10B was pumped into proptech in 2018.
The consensus now is that this industry is undergoing rapid change. At the bottom end of the market (maybe 10%), iBuyers like Opendoor will likely completely disrupt the traditional brokerage model. Next, you will see discount brokerages (Redfin, Purplebricks, et al) take more and more of the market. Full commission brokerages will still be the mainstream for the foreseeable future, but commissions will come down modestly, even for them.
As purchasing or selling a home is one of the most expensive, most emotional, and most intimidating transactions you will ever do, seeking the help of a real estate agent is generally a good idea. Increasing competition will create more options and more value for consumers than we've ever seen before and that's a good thing.