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What the pen marks mean
rememberThe takeaway: what to remember
figureThe number that matters
evidenceThe evidence line
rulingThe ruling
claimThe claim that fails
Each mark is drawn once, as you reach it. Numbers are only circled when they come from the story’s own figures.
01 / ModelsTrue, but
Google calls EmbeddingGemma 2 best-in-class for its size. The code score that rose from 68.76 to 78.68 is Google's own figure.
Google, EmbeddingGemma 2 launch post (6 Oct 2026) ·
Google called EmbeddingGemma 2 a best-in-class open model for natively multimodal embeddings, and reported a 9.92-point gain on its code benchmark, from 68.76 to 78.68.
The reality check
The model card calls it among the strongest multimodal embedding models under 1B parameters. CodeSOTA says no comparable score for this model exists in its historical table, and that its page has no CodeSOTA corpus-specific run for EmbeddingGemma 2.
Why care? A best-in-class line built on the lab's own scores is the lab marking its own homework. Use the weights if they fit the job. Do not treat the rank as an outside result.
Take this with youGoogle's best-in-class line for EmbeddingGemma 2 rests on Google's own scores, a code score up from 68.76 to 78.68, and CodeSOTA's MTEB page says it has no run of its own.
Open the evidence4 source pages +
The claim we checked
EmbeddingGemma 2 is a best-in-class open model for natively multimodal embeddings, with leading scores among sub-1B embedders.
These are quoted receipts, not a count of independent investigations. Several reports may rely on the same original source.
Achieves leading scores among sub-1B multimodal embedders for its size across benchmarks like MTEB (Massive Text Embedding Benchmark) Code and MAEB (Massive Audio Embedding Benchmark), while matching or outperforming many larger models across text, vision, and audio tasks.
Ironclad quotes a 20-minute risk review of an 80-page contract. Its own notes say the agent is Jurist under a new name.
Sharisse Cumberbatch, ANDMORE, quoted in Ironclad's 8 Oct 2026 release ·
Ironclad's 8 October release quotes one customer who cut risk review of an 80-page agreement from about three hours to about 20 minutes with Contract Review Agent.
The reality check
Release notes captured on 5 October say that on October 8, Jurist will become Contract Review Agent, and existing users keep the capabilities they already have. The product page lists Contract Review Agent in the existing fleet.
Why care? Paying for a new agent and renaming the one already on the seat are different purchases. The 20-minute figure is one person's account.
Take this with youThe 20-minute risk review is one customer's quote, and Ironclad's own notes say Jurist becomes Contract Review Agent, with existing users keeping the capabilities they already have.
Open the evidence4 source pages +
The claim we checked
Ironclad's Contract Review Agent cut one lawyer's risk review of an 80-page agreement from about three hours to about 20 minutes.
These are quoted receipts, not a count of independent investigations. Several reports may rely on the same original source.
Perplexity introduced Q2D-Web as a public leaderboard built from 190 million web documents and 69,721 agent-reformulated queries sampled from its production search traffic.
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It consists of 190 million web documents and 69,721 agent-reformulated queries in ten languages, sampled over nine months of PII-free production search traffic.
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