Genie: Best AI Software Engineer
cosine.sh
cosine.sh
I'm just not seeing a machine that is "likely correct", constantly interrupting the "operator" to be that much of a win. I have seen some software influencers reflect on how much more fun it is to code, after dropping the LLM assistant.
All of these feel like offerings to the Productivity God. As a salary guy I'll never get excited that I can do more during my work day. It's already easy to hit my capacity.
At the bottom, they noted the following:
> SWE-Bench has recently modified their submission requirements, now asking for the full working process of our AI model in addition to the final results -their condition to have us appear on the offical leaderboard. This change poses a significant challenge for us, as our proprietary methodology is evident in these internal processes. Publicly sharing this information would essentially open-source our approach, undermining the competitive advantage we’ve worked hard to develop. For now, we’ve decided to keep our model’s internal workings confidential. However we’ve made the model’s final outputs publicly available on GitHub for independent verification. These outputs clearly demonstrate our model’s 30% success rate on the SWE-Bench tasks.
Their model outputs are here: https://github.com/CosineAI/experiments/tree/cos/swe-bench-s...
Sounds legit
A while back someone on Twitter seemed to confirm that Claude-3.5 was aware of the Github issues inside the dataset by mentioning them, but I couldn't find the original post.
30% performance on the full SWE-bench benchmark is quite the leap, but just how "real" of an achievement is this? Anecdotal reports mention that GPT-4o is marginally better than GPT-4 turbo at best, and yet agents leveraging the LLM did perform better.
What would happen if SWE-bench was updated, top to bottom, with completely new Github issues? Would all these agents just completely shit the bed?
closes the tab