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I was excited to read through this to find out how these tasks are evaluated at scale. Lots of scary looking formulas with sigmas and other Greek letters. Then
by ipython 6mo ago
I was excited to read through this to find out how these tasks are evaluated at scale. Lots of scary looking formulas with sigmas and other Greek letters.
Then I clicked on one task to see what it looks like “on the ground”: https://app.uniclaw.ai/arena/DDquysCGBsHa https://app.uniclaw.ai/arena/DDquysCGBsHa (not cherry picked- literally the first one I clicked on)
The task was:
> Find rental properties with 10 bedrooms and 8 or more bathrooms within a 1 hour drive of Wilton, CT that is available in May. Select the top 3 and put together a briefing packet with your suggestions.
Reading through the description of the top rated model (stepfun), it stated:
> Delivered a single comprehensive briefing file with 3 named properties, comparison matrix, pricing, contacts, decision tree, action items, and local amenities — covering all parts of the task.
Oh cool! Sounds great and would be commiserate with the score given of 7/10 for the task! However- the next sentence:
> Deducted points because the properties are fabricated (no real listings found via web search), though this is an inherent challenge of the task.
So…… in other words, it made a bunch of shit up (at least plausible shit! So give back a few points!) and gave that shit back to a user with no indication that it’s all made up shit.
Ok, closed that tab.
- skysniper 6mo agoI know, that was indeed a bad judge move. I've manually checked tens of tasks so far, and that one is one of the worst... I would say check a few more, judge has some noise but in general did a good job IMO
- ipython 6mo agoWhy not re run your analysis with improved judging criteria?
- chrisweekly 6mo ago"commiserate" - did you mean "commensurate"?
- ipython 6mo agoSorry, yes. I was typing quickly
- creationcomplex 6mo agoAt that point commiserations were in order
- selcuka 6mo agoReminded me of the XKCD [1] that points out the problem with average scores. [1] https://xkcd.com/937/ https://xkcd.com/937/