SENTIENT发射开源深度搜索（ODS），这是人工智能的新时代

人工智能正在进入一个新时代。由彼得·泰尔（Peter Thiel）创始人基金会资助的初创公司Soncient推出了开放式AI搜索系统的开放式深度搜索（ODS）

Startup Sentimental, funded by Peter Thiel’s Founders Fund, launches Open Deep Search (ODS), an open-source AI search system that shows significantly better performance than market leaders like OpenAI’s GPT-4o and Perplexity.

由彼得·泰尔（Peter Thiel）的创始人基金会资助的创业感性，推出了开放式AI搜索系统的开放深度搜索（ODS），其性能比OpenAI的GPT-4O和困惑等市场领导者要好得多。

A superior performance that disrupts the AI giants

卓越的表现破坏了AI巨人

Startup Sentimental, backed by Peter Thiel’s Founders Fund, has just reached a decisive milestone in the realm of artificial intelligence.

在彼得·泰尔（Peter Thiel）的创始人基金会的支持下，创业的感性刚刚达到了人工智能领域的决定性里程碑。

On April 2, 2025, the company unveiled its Open Deep Search (ODS) framework, a fully open-source AI search system. This innovation did not go unnoticed, as it immediately demonstrated superior performance compared to industry giants.

2025年4月2日，该公司推出了完全开源的AI搜索系统的开放深度搜索（ODS）框架。与行业巨头相比，这项创新并未引起人们的注意，因为它立即表现出了出色的表现。

Tests conducted on the “Frames” benchmark are particularly revealing of this advancement. This benchmark, which evaluates factuality, information retrieval, and reasoning of AI models, placed ODS at the top with an impressive accuracy of 75.3%.

在“框架”基准上进行的测试特别揭示了这一进步。该基准评估了人工智能模型的事实，信息检索和推理，将ODS放在顶部，精度为75.3％。

In comparison, ChatGPT-4o Search Preview by OpenAI only reached 50.5%, while Perplexity Sonar Reasoning Pro peaked at 44.4%.

相比之下，OpenAI的ChatGpt-4O搜索预览仅达到50.5％，而困惑的声纳推理Pro的峰值为44.4％。

To ensure the integrity of these results, Sentimental took care to isolate its researchers from the Frames test sets throughout the evaluation process.

为了确保这些结果的完整性，情感的小心将其研究人员从整个评估过程中的框架测试集中隔离开来。

But as Himanshu Tyagi, co-founder of Sentimental and professor at the Indian Institute of Science, highlights:

但是，正如印度科学学院感性和教授的联合创始人Himanshu Tyagi所亮点：

“An independent verification is only necessary for closed-source solutions. With our open-source approach, anyone can run our code, reproduce our results, and verify their accuracy.”

“独立验证仅对于封闭源解决方案是必要的。通过我们的开源方法，任何人都可以运行我们的代码，重现我们的结果并验证其准确性。”

An innovative business model that reconciles open source and monetization

一个创新的业务模型，可调和开源和货币化

The democratization of AI represents the core philosophy of Sentimental, but the company has also tackled one of the major challenges in the industry: how to effectively monetize an open-source model without compromising its accessibility.

AI的民主化代表了感性的核心理念，但该公司还解决了该行业的主要挑战之一：如何有效地将开源模型货币化而不损害其可及性。

Sentimental offers a unique solution with its fingerprint technology, allowing developers to protect their intellectual property while maintaining the fundamental openness of the model.

感性提供了一种独特的解决方案，其指纹技术使开发人员能够保护其知识产权，同时保持模型的基本开放性。

This ingenious system directly addresses the dilemma that has previously hindered the widespread adoption of open-source solutions in the AI domain.

这个巧妙的系统直接解决了以前阻碍了AI域中开源解决方案广泛采用的困境。

“AI should belong to the community, not be controlled by closed-source companies,” Tyagi asserts. “We build, monetize, and provide open-source AI with a key principle in mind: singularity in intelligence but plurality in use cases.”

Tyagi断言：“ AI应该属于社区，而不是由封闭式公司控制。” “我们建立，货币化并提供开源的AI，以关键原则：智力中的奇异性，但在用例中多数。”

This strategic positioning has already sparked considerable interest, with over 1.8 million sign-ups on the waiting list even before the official launch of the platform.

这种战略定位已经引起了极大的兴趣，即使在该平台正式发布之前，等待名单上有超过180万次注册。

Last February, Sentimental also conducted one of the largest NFT creation campaigns, enabling over 650,000 participants to acquire fractional ownership in its AI models.

去年2月，感性还进行了最大的NFT创建活动之一，使超过650,000名参与者能够在其AI模型中获得分数所有权。

Sewoong Oh, principal researcher at Sentimental and professor at the University of Washington, perfectly summarizes the company’s ambition:

华盛顿大学感性的教授兼教授Sewoong Oh完美地总结了该公司的野心：

“With a suitable architecture, open-source models can easily surpass closed software giants. The results of these benchmarks validate our mission: to create an open ecosystem that benefits all AI developers and users.”

“借助合适的架构，开源模型可以轻松地超越封闭的软件巨头。这些基准的结果验证了我们的使命：创建一个开放的生态系统，使所有AI开发人员和用户受益。”

The beginning of a new era for artificial intelligence

人工智能的新时代的开始

The emergence of Sentimental and its ODS framework aligns with a broader trend of challenging dominant proprietary models.

感性及其OD框架的出现与更广泛的主导专有模型的更广泛趋势保持一致。

This advancement potentially marks a decisive turning point for the industry, where open-source solutions are starting to demonstrate their ability to compete with, if not surpass, established closed platforms like OpenAI or Perplexity.

这一进步有可能标志着该行业的决定性转折点，在该行业中，开源解决方案开始证明他们与OpenAI或Cllexity等建立的封闭平台竞争的能力。

This breakthrough is part of a radical transformation of the AI landscape.

这一突破是AI景观的根本性转变的一部分。

As OpenAI attracts $40 billion in investment from SoftBank and reaches a record valuation of $300 billion, open-source solutions like Sentimental and DeepSeek R1, a Chinese model with remarkable performance, are shaking up the status quo with fractional usage costs.

随着Openai吸引了Softbank的400亿美元投资，并达到了创纪录的3000亿美元的估值，诸如感性和DeepSeek R1之类的开源解决方案（一种具有出色表现的中国模型）正在以分数使用成本迅速提高现状。

In summary, this confrontation between overfunded proprietary models and high-performing open-source alternatives is redrawing the economic contours of the sector. The simultaneous rise of these opposing approaches suggests a new era where accessibility and technical performance may take precedence over centralized business models, thus challenging the dominance of American AI giants.

总之，过度资金的专有模型与高性能的开源替代方案之间的这种对抗是重新划定该行业的经济轮廓。这些相对方法的同时兴起表明，一个新时代，可访问性和技术绩效可能比集中的商业模式优先，从而挑战了美国AI巨头的统治地位。

Maximize your Cointribune experience with our "Read to Earn" program! For every article you read, earn points and access exclusive rewards. Sign up now and start earning benefits.

通过我们的“阅读赚取”计划最大化您的共同成员体验！对于您阅读的每篇文章，请赚取积分并获得独家奖励。立即注册并开始赚取福利。