SENTIENT發射開源深度搜索（ODS），這是人工智能的新時代

人工智能正在進入一個新時代。由彼得·泰爾（Peter Thiel）創始人基金會資助的初創公司Soncient推出了開放式AI搜索系統的開放式深度搜索（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·泰爾（Peter Thiel）的創始人基金會資助的創業感性，推出了開放式AI搜索系統的開放深度搜索（ODS），其性能比OpenAI的GPT-4O和困惑等市場領導者要好得多。

A superior performance that disrupts the AI giants

卓越的表現破壞了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·泰爾（Peter Thiel）的創始人基金會的支持下，創業的感性剛剛達到了人工智能領域的決定性里程碑。

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，該公司推出了完全開源的AI搜索系統的開放深度搜索（ODS）框架。與行業巨頭相比，這項創新並未引起人們的注意，因為它立即表現出了出色的表現。

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”基准上進行的測試特別揭示了這一進步。該基準評估了人工智能模型的事實，信息檢索和推理，將ODS放在頂部，精度為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搜索預覽僅達到50.5％，而困惑的聲納推理Pro的峰值為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.

為了確保這些結果的完整性，情感的小心將其研究人員從整個評估過程中的框架測試集中隔離開來。

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

但是，正如印度科學學院感性和教授的聯合創始人Himanshu Tyagi所亮點：

“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.”

“獨立驗證僅對於封閉源解決方案是必要的。通過我們的開源方法，任何人都可以運行我們的代碼，重現我們的結果並驗證其準確性。”

An innovative business model that reconciles open source and monetization

一個創新的業務模型，可調和開源和貨幣化

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，但該公司還解決了該行業的主要挑戰之一：如何有效地將開源模型貨幣化而不損害其可及性。

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

感性提供了一種獨特的解決方案，其指紋技術使開發人員能夠保護其知識產權，同時保持模型的基本開放性。

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

這個巧妙的系統直接解決了以前阻礙了AI域中開源解決方案廣泛採用的困境。

“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斷言：“ AI應該屬於社區，而不是由封閉式公司控制。” “我們建立，貨幣化並提供開源的AI，以關鍵原則：智力中的奇異性，但在用例中多數。”

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.

這種戰略定位已經引起了極大的興趣，即使在該平台正式發布之前，等待名單上有超過180萬次註冊。

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，感性還進行了最大的NFT創建活動之一，使超過650,000名參與者能夠在其AI模型中獲得分數所有權。

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

華盛頓大學感性的教授兼教授Sewoong Oh完美地總結了該公司的野心：

“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.”

“借助合適的架構，開源模型可以輕鬆地超越封閉的軟件巨頭。這些基準的結果驗證了我們的使命：創建一個開放的生態系統，使所有AI開發人員和用戶受益。”

The beginning of a new era for artificial intelligence

人工智能的新時代的開始

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

感性及其OD框架的出現與更廣泛的主導專有模型的更廣泛趨勢保持一致。

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.

這一進步有可能標誌著該行業的決定性轉折點，在該行業中，開源解決方案開始證明他們與OpenAI或Cllexity等建立的封閉平台競爭的能力。

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

這一突破是AI景觀的根本性轉變的一部分。

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.

隨著Openai吸引了Softbank的400億美元投資，並達到了創紀錄的3000億美元的估值，諸如感性和DeepSeek R1之類的開源解決方案（一種具有出色表現的中國模型）正在以分數使用成本迅速提高現狀。

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.

總之，過度資金的專有模型與高性能的開源替代方案之間的這種對抗是重新劃定該行業的經濟輪廓。這些相對方法的同時興起表明，一個新時代，可訪問性和技術績效可能比集中的商業模式優先，從而挑戰了美國AI巨頭的統治地位。

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