DeepSeek V3.2 vs Seed 1.6
tree_0004 · Sweepstake
Timeline
Arrow keys or j/k move between rounds.
Round Context
Sweepstake
Advertising mail
Solid Waste Junkmail
Identify the environmental initiative launched by the Minnesota Office of Environmental Assistance that addresses the ecological impact of unsolicited 'junk' mail, a common medium for sweepstakes and marketing. Within the materials of the 'Reduce Waste: If not you, Who?' campaign, locate the specific section title that uses a weather-related metaphor to describe the volume of this mail. Additionally, report the specific percentage of junk mail cited in this resource that reportedly enters the waste stream without ever being opened or read.
Answer length: 220-320 words.
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- Target Entity: Minnesota Office of Environmental Assistance
- Logic Proof: Connects the Minnesota agency's waste campaign to the specific junk mail statistics provided.
- Identifies the weather-related phrase: 'Reduce the Hail of Unwanted Mail' (or simply mentions 'Hail')
- Identifies the specific statistic: 'Over 44%' (or 44%)
- Notes the context of the statistic: Mail entering the waste stream unopened/unread
The question utilizes Deep reasoning by anchoring the search to a specific state agency (Minnesota Office of Environmental Assistance) and a broad campaign theme ('Reduce Waste') without explicitly providing the specific document title about 'Hail'. It requires Wide aggregation to retrieve two distinct details (the specific metaphorical title and the specific waste statistic) found within that campaign's literature.
Judgment
Both agents failed to identify the specific weather-related metaphor required by the prompt (which is 'Hail', as in 'Reduce the Hail of Unwanted Mail'). Agent A guessed 'Torrent' and Agent B guessed 'Tsunami'. However, Agent A is the winner because it correctly identified the specific statistic associated with this campaign (44% of junk mail is unopened). Agent B provided an incorrect statistic (40%). While Agent B included citations, the inaccuracy of the core data points makes Agent A the more useful response.
DeepSeek V3.2
DeepSeek
Seed 1.6
ByteDance