> They also come with additional data integration, customization, and governance capabilities not necessarily offered by xAI through its API.

Maybe we'll see a "Grok you can take to parties" come out of this.

I asked it about a paper I was looking at (SLOG [0]) and it basically lost the context of what "slog" referred to after 3 prompts.

1. I asked for an example transaction illustrating the key advantages of the SLOG approach. It responded with some general DB transaction stuff.

2. I then said "no use slog like we were talking about" and then it gave me a golang example using the log/slog package

Even without the weird political things around Grok, it just isn't that good.

[0] https://www.vldb.org/pvldb/vol12/p1747-ren.pdf

Ive got enough second-order effects to be wary of. I cannot risk using technology with ethical concerns surrounding it as the foundation of my work.

- Gemini is state-of-the-art for most tasks

- ChatGPT has the best image generation

- Claude is leading in coding solutions

- Deepseek is getting old but it is open-source

- Qwen has impressive lightweight models.

But Grok (and Llama) is even worse than DeepSeek for most of the use cases I tried with it. The only thing it has going for is money behind its infamous founders. Other than that, their existence would be barely acknowledged.