Introducing SWE-1.7, the most capable model we’ve trained yet.
It scores within a few points of the strongest frontier models at a fraction of the cost, and is now available at 1000 tok/s.
RL is not hitting its limit: after refining our recipe, we keep seeing gains as we scale
Claude charges for image inputs based on pixel size, not the amount of text inside the image
So you can literally turn long prompts into an image and save a lot of tokens
Here is a repo which does this
Doom scrolling but make it educational 🤓
Introducing Short Video Overviews in NotebookLM! Turn your most complex sources into 60-second, vertical videos that deep dive into any concept.
Rolling out now to Google AI Ultra and Pro subscribers on mobile & web (free users soon!)
Oh my god it scored worse than Composer 2! Not even 2.5! And it cost 4x more to run!!!
This might be the worst major lab model drop of all time. Llama 4 tier. Insane.
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