The firm’s fingerprinting technology allows developers to protect intellectual property while maintaining model openness — aiming to solve the biggest issue of open-source AI, the challenges of monetizing a model without centralization.“AI should belong to the community, not controlled by closed-source corporations,” according to Himanshu Tyagi, co-founder of Sentient and professor at the Indian Institute of Science.“We’re building, monetizing and delivering open-source AI with a key principle in mind: singularity in intelligence but plurality in use cases,” he added.”Open-source development ensures performance and user control that closed systems simply cannot match.”Related: Crypto trader turns $2K PEPE into $43M, sells for $10M profitSentient’s ODS outperforms ChatGPT, PerplexitySentient’s ODS scored 75.3% accuracy on the “Frames” benchmark, which measures factuality, retrieval and reasoning capabilities, used to answer complex “multi-hop questions” that require the integration of multiple sources.
Related: $1T stablecoin supply could drive next crypto rally — CoinFund’s PakmanA turning point for open-source AIThe release of Sentient’s new open-source search framework comes amid a tipping point for open-source AI development.“We’re witnessing a significant shift as open-source AI solutions increasingly challenge closed-source dominance,” Tyagi said.“Examples such as DeepSeek’s advancements in reasoning, Manus’s innovations with agents, and now our own contributions to ODS with advanced AI search frameworks highlight this shift,” he added.“Open-source models can easily outperform closed-source giants with the right architecture,” said Sewoong Oh, Sentient’s lead researcher and professor at the University of Washington.“The results of these benchmarks validate our mission to create an open ecosystem that benefits all AI builders and users.”The launch also builds on Sentient’s earlier momentum.
Source: Sentient“Independent verification is only needed for closed-source solutions because open-source solutions have no incentive to falsely report the evaluations,” Tyagi said, adding:“Anyone with a computer can run our code, reproduce our results, and verify whether it is correct or not.
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Author / Journalist: Cointelegraph by Zoltan Vardai
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