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Grok-1.5 Vision Preview

x.ai

86 pointsrunesoerensen22 comments

I think a lot of people are sleeping on Xai for two reasons - Twitter & Tesla FSD data.

I've seen numerous talks recently by Ai leaders discussing how the next level of LLMs have to "understand the physical world" (which tesla FSD is a leader in, see Elon's response to Sora - https://www.news18.com/tech/elon-musk-claims-tesla-has-been-...), along with Twitter being the "town square" of the internet giving them an immense advantage. I wouldn't be surprised if the Twitter API was completely cut off one day.

Imagine a baby who learned everything about language and human expression from Twitter. Of course they won't only use Twitter. But it's quite hard to see Twitter data as a significant competitive advantage unless you want to train the biggest jackass in the universe.

It’s more so on having live up-to-date data

having up-to-date data in a world where models are updated to data as of 6 months ago doesn't seem that relevant. especially when that up-to-date data is, who is Elon calling a pedo today.

You're thinking of LLMs today. When compute price drops another 99% and these models can re-train almost instantly, that "live data" will be invaluable. This is all coming from a talk I watched from Nvidia's CEO.

Interesting that they built their own benchmark and that it primarily features images from vehicles. Tesla overlap?

> ... we are introducing a new benchmark, RealWorldQA. This benchmark is designed to evaluate basic real-world spatial understanding capabilities of multimodal models. While many of the examples in the current benchmark are relatively easy for humans, they often pose a challenge for frontier models.

> The initial release of the RealWorldQA consists of over 700 images, with a question and easily verifiable answer for each image. The dataset consists of anonymized images taken from vehicles, in addition to other real-world images ... RealWorldQA is released under CC BY-ND 4.0.

Will be interesting to see the feedback once someone has a change to look into the dataset (https://data.x.ai/realworldqa.zip).

Side note — I'm very impressed with their "Explaining a meme" example.

Looks like Optimus is an intended use case.

Optimus for indoor data collection and model deployment, Tesla for outdoor.

> Optimus for indoor data collection

I suspect they will work very hard to motivate a great number of people to accept a disclaimer for this. It will interesting to see how they apply the pressure.

Hold on, I think an Optimus is knocking on my door right now.

OpenAI and others seem to be focused on a brute force approach towards achieving AGI. Others, such as Yann LeCun, have advocated for intelligence that can build understanding of the world similar to how humans learn. This seems like an approach in that direction?

This seems like an approach in that direction?

That makes it seem so? Aren’t they trying to catch up with OpenAI using exactly the same models and training methods that OpenAI uses?

This is what Elon wanted for OpenAI before he left the board according to the emails. He wanted them to become for-profit under Tesla, probably to assist with self-driving.

If those comparisons to other models are remotely accurate, that is a pretty impressive feat to catch up that quickly.

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