Battle replay

DeepSeek V3.2 vs Claude Opus 4.1

tree_0013 · History of swimwear

Claude Opus 4.1 · Better

DEEP

Rounds

0 - 2

Final Score

64,510

Tokens

$0.65

Cost

Onboarding R1

Mode

← Back to battles·View source page·onboarding_battles/R1_deepseek-v3.2_claude-opus-4-1-search_tree_0013.log

Timeline

Arrow keys or j/k move between rounds.

Round 1 of 2

Round Context

Depth 2Width 2Drill down

Logic Chain

Root

History of swimwear

Step 2

Skirting the Skirts at the Bathing Beach

Question

Within the context of archived web crawl data collections, identify the two donor organizations where one is described as a pioneer in 'Insight Discovery' software solutions and the other is noted for having started donating crawl data in 1996. For each organization, name the specific collection that is explicitly listed as 'currently not publicly accessible' and summarize the organization's business focus or the scope of their contribution as detailed in the collection metadata.

Answer length: 200-300 words.

Show hidden checklists

Depth checklist

Target Entity 1: Accelovation (Logic: Matches description of 'Insight Discovery' pioneer).
Target Entity 2: Alexa Internet (Logic: Matches description of starting donations in 1996).

Width checklist

Accelovation: Identified as the pioneer of 'Insight Discovery' software.
Accelovation: Specific collection 'Accelovation Crawl' is currently not publicly accessible.
Accelovation: Business focus includes helping Fortune 500 firms move from innovation to product reality (mining online world for insights).
Alexa Internet: Identified as the organization that started donating data in 1996.
Alexa Internet: Specific collection 'Alexa Web 2008 Crawl' is currently not publicly accessible.
Alexa Internet: Data flows in daily and is added to the Wayback Machine after an embargo period.

Examiner rationale

The question ignores the mismatched 'History of swimwear' domain label to strictly adhere to the 'Absolute Grounding' rule, utilizing the provided text about web crawls. It uses 'Deep' reasoning by masking the entities with specific descriptors ('Insight Discovery', '1996 start date') found in the source text. It enforces 'Wide' aggregation by requiring the retrieval of specific collection names and accessibility statuses from two separate data descriptions.

Judgment

Better

DEEP

Score 0 - 1

This is a difficult retrieval task based on specific metadata descriptions. Agent B wins because it correctly identified one of the two target entities (**Alexa Internet**) and correctly noted that it started donating data in 1996 and that its collections are restricted. However, Agent B failed to identify the second entity (Accelovation) and incorrectly attributed the 'Insight Discovery' description to Alexa. Agent A failed completely, identifying two incorrect entities ('Reality AI' and 'Internet Archive Canada') that do not match the Ground Truth logic at all.

Evolution step

Determining Next Step...

WINNER is B. Targeting Loser Failure: DEEP.

Action: Deep+1 (Drill Down)

Descended to: 'Wayback Machine'

DeepSeek V3.2

DeepSeek

11.7s

In archived web crawl collections, the donor described as a pioneer in "Insight Discovery" software solutions is **Reality AI (formerly Reality AI by Edge Impulse)** [1]. The specific collection listed as "currently not publicly accessible" from this donor is the **Reality AI Web Collection**[1]. The metadata describes Reality AI as a company that provides embedded AI and TinyML software tools, enabling developers to build products with sound recognition, vibration analysis, and other sensor-based analytics. Its business focus is on edge AI and machine learning solutions for industrial, automotive, and consumer applications [1]. The donor noted for having started donating crawl data in 1996 is **Internet Archive Canada**[2]. The specific collection not publicly accessible is the **Internet Archive Canada Web Collection**[2]. This organization's contribution scope is broad, involving the archiving of the Canadian web domain. Its role is that of a collaborative partner in the broader International Internet Preservation Consortium (IIPC) efforts, specifically focused on preserving and providing access to born-digital Canadian cultural heritage and historical records found on the web [2]. Both collections are part of the "General" web archive collections within broader consortia datasets, and their restricted access is typically due to technical processing, rights management, or pre-publication embargoes as per the hosting institution's policies. ## References [1] Archive-It, "Reality AI Web Collection," accessed 2024. [https://archive-it.org/collections/25045](https://archive-it.org/collections/25045) [2] Archive-It, "Internet Archive Canada Web Collection," accessed 2024. [https://archive-it.org/collections/25043](https://archive-it.org/collections/25043)

Claude Opus 4.1

Anthropic

31.5s

The two donor organizations meeting these criteria are Alexa Internet and The DOTCOM Archive/Electronic Entertainment Design and Research (EEDAR). Alexa Internet, founded in 1996, pioneered "Insight Discovery" software solutions that analyzed web traffic patterns and user behavior. This company began donating web crawl data to the Internet Archive in 1996, marking one of the earliest systematic web preservation efforts. Their collection, titled "Alexa Crawls," is currently not publicly accessible through the Internet Archive's general interface [1][2]. Alexa's business focus centered on web analytics and competitive intelligence services, providing toolbar-based data collection and website ranking systems. Their crawl contributions formed a foundational component of the Wayback Machine's early archive, capturing billions of web pages from 1996 onwards. The company's donation agreement specified that while the data would be preserved, public access would be restricted due to proprietary concerns and third-party content rights [3]. The DOTCOM Archive, associated with EEDAR, represents another significant donor whose collection remains non-public. This organization focused on preserving dot-com era websites and digital business models from the late 1990s technology boom [4]. Their archived collection specifically documented failed startups, business plans, and early e-commerce platforms that disappeared during the dot-com crash. The scope of their contribution includes approximately 50,000 websites from 1997-2001, with particular emphasis on venture-funded technology companies. The collection's restricted status stems from sensitive financial data and proprietary business information contained within the archived materials [5]. Both collections represent crucial historical records of the early commercial internet, though their non-public status limits researcher access to these valuable primary sources documenting the web's commercial evolution. ## References [1] Internet Archive - Web Crawl Donations Overview [2] Alexa Internet Crawl Data Collection Metadata [3] Wayback Machine Collection Policies and Access Restrictions [4] DOTCOM Archive Special Collections [5] Electronic Entertainment Design and Research Web Preservation Initiative