GaggiX

They announced their new Index v5 yesterday, they frequently add new benchmarks and rebalance old ones.

With Apple ads there is always something uncanny with the hands, like the fingers get unnaturally longer behind the device.

This one as I read it is a bit different, the Physical Intelligence API requires finetuning for the task/robot while the Dream-1 model offers an API that can do zero-shot (with great limitations of course but still cool).

I feel like robotic tasks by LLM models and similar are very much underexplored, a few new frontier models are now able to do very simple tasks but hopefully there would be more competition in the future, this one was the first one that offers an API for this task specifically, maybe in the future if more models come up there will be a dedicated OpenRouter category, that would be cool.

I posted it after I discovered the model on https://robocurve.org/

I discovered the Robocurve benchmark after someone on X was saying that Kimi K3.1 Pro was performing particular bad on it.

Anyway I found the model particularly interesting because I think it's the first time I see an API for a random bimanual robot. Also HN removes "Introducing" so it's just the name of the model.

LiveOverflow has exploited the PHP vulnerability, it’s even linked in the article.

Have you set up some sort of benchmark to see if there is actually anything useful or they are complete trash on the task?

The vast majority of these tokens are cache input tokens so even at API price the cost would be much lower.

The thing is they are actually good, that's why they are getting so popular even when you can emulate many of them already.

I recently found this 1.58-bit model for ASR and it's surprising good (and very fast), that being said it's not a LLM.

https://huggingface.co/moondream/parakeet-redux

Modders have added the ability to use the upscaler after DLSS 5, personally I don't know how sound this method is but the quality is pretty good, and allows to play games with DLSS 5 at 4k 60FPS with something that is not a 5090.

>they ship a model per game?

They don't. Only DLSS 1 was trained specifically per each game.

Reasoning models can do math on their own without external tools.

I have tested the ternary model on English/Italian and I'm surprised by how good the model is, also it's very fast.

Don't editorialize the title of the articles.

These are post-training reinforcement learning steps.

I don't think a bunch of similar tasks can really saturate the "create a SVG of X", because the model should have a quite good spatial understanding of the world and how everything interacts.

For example Gemini 3.8 Flash seems very impressive at first glance but the results are not actually very coherent, this shows that its "world model" is not particularly great (compare to SOTA models).

Gemini 3.8 Flash results are often not very coherent but it does put a lot of shading and details to hide the fact.

Just tried on Astra low and it gave 4.

If you have never seen the game before probably.

Gemini 3.5 pro is never going to be released, it was a failure.

I think that would be more normal than comparing an LLM policy to having lost a child.

Firefox really struggle with demo pages of text-to-video models because of the large numbers of videos in the page in my experience, this page seems to work quite fine for me tho.

Or maybe significantly lower.

This reads like ragebait trolling, like it's on purpose so completely out of touch to gain attention.

But maybe it was written years ago idk.

It's a cheap and powerful model. Also very fast for this class of models.

The model is cool but I would prefer if people do not editorialize the titles on their HN submissions.

I wonder if they simply abliterate Claude skepticism would break its reasoning capabilities, if not I don't understand why they would just keep prompt it instead of creating an abliterated model for the task.

There are dozens of providers, the model is just really cheap to run thanks to its clever architecture that optimize the compute and memory usage even in long contexts.

>what’s the deal here?

It's good.