惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

雷峰网
雷峰网
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
博客园 - 三生石上(FineUI控件)
博客园 - 聂微东
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Hugging Face - Blog
Hugging Face - Blog
Apple Machine Learning Research
Apple Machine Learning Research
博客园 - Franky
MyScale Blog
MyScale Blog
A
About on SuperTechFans
博客园_首页
B
Blog RSS Feed
Martin Fowler
Martin Fowler
大猫的无限游戏
大猫的无限游戏
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
Vercel News
Vercel News
C
Check Point Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
博客园 - 【当耐特】
M
MIT News - Artificial intelligence
宝玉的分享
宝玉的分享
T
Tailwind CSS Blog
I
InfoQ
罗磊的独立博客

PYMNTS.com

Crypto Payments Are Back. Will Merchants Actually Care This Time? Labor Department Proposes Unified Joint Employer Standard B2B’s New Battlefield Is Everything Before the Button Amazon Targets the GLP-1 Gap Big Pharma Left Open LendingClub Signals Expanded Capabilities With Happen Bank Rebrand Congress Moves to Give FinTechs Direct Fed Payment Access Microsoft Tests Mythos to Identify and Mitigate Vulnerabilities United Airlines Hikes Fares as Fuel Costs Surge OpenAI Images 2.0 Is a Real Leap With a Real Price Tag Morgan Stanley Says Gaming Could Score $22 Billion With AI FTC Shuts Down Alleged Healthcare Fraud Scheme Sam’s Club Offers eCommerce Shoppers Hour-or-Less Deliveries FinTechs Cut Staff as AI and Margins Redefine Growth JPMorganChase Extends Critical Industries Investment Program to Continental Europe OpenAI Lands $75 Million Investment From Robinhood Ventures House Bill Would Reduce Small Lenders’ Reporting Requirements Coinbase Lists tGBP to Expand Locally-Denominated Stablecoin Access BNY Names New Head for Payments/Trade Client Platform KnowBe4 Automates Global Cash Flow Via Flywire Partnership Treasury Calls for Programmable Financial Enforcement Across Crypto Google Accelerates Agentic AI Shift With New Enterprise Platform OpenAI Begins Briefing Governments on Cybersecurity Capabilities DeFi Security Suffers New Blow With $3 Million Volo Exploit Uninvited Users Access Anthropic’s Mythos AI Model Block and Uber Expand Partnership Across Several Global Markets OpenAI Pledges $1.5 Billion to PE Enterprise AI Project Podcast: Inside the $9 Billion DeFi Hack That’s Shaking Crypto’s Foundations Synchrony CFO Flags Momentum in Spending and Credit Banks Risk Slowing the Emerging Middle Market Firms Driving Growth Paysafe Expands Digital Wallet Availability Across 18 European Markets
DeepSeek Seeks $20 Billion Valuation as Tech Giants Weigh...
PYMNTS · 2026-04-23 · via PYMNTS.com

By  |  April 22, 2026

 | 

DeepSeek, AI

DeekSeek could soon count two of China’s biggest tech companies among its investors.

Tencent and Alibaba are in talks to invest in the Chinese artificial intelligence (AI) startup as it begins its first round of fundraising, The Information reported Wednesday (April 22), citing four sources with knowledge of the discussions.

One of those sources told the publication that DeepSeek hopes to raise funding at a valuation of more than $20 billion, following strong interest among investors. The Information had reported last week that the company had begun talks to raise its first outside capital, hoping to bring in at least $300 million at a valuation of at least $10 billion.

The report adds that DeepSeek’s focus on offering open-source technology over making money has led to some debate about how it should be valued. The $20 billion is slightly higher than the $18 billion that Moonshot AI, the Chinese startup behind the Kimi series of large-language models, is seeking with its new funding round.

Meanwhile, two of DeepSeek’s competitors, MiniMax and Zhipu, both went public in Hong Kong in January at a valuation of less than $10 billion but have since seen their values climb to a respective $30 billion-plus and $50 billion-plus, The Information added.

But unlike those companies, DeekSeek hasn’t generated much revenue, as its models are open-source and its chatbot is free for consumers to use.

Advertisement: Scroll to Continue

PYMNTS wrote earlier this year about research by DeepSeek showing a new way to train large language models that allows performance to improve without a proportional uptick in training costs. This goes against one of the main assumptions that has guided the way the AI sector has scaled in the last several years, the report said.

“If approaches like DeepSeek’s prove reliable beyond research settings, they could alter the economics of AI deployment in sectors that depend on cost discipline, including commerce, payments, and enterprise software,” PYMNTS added.

“Lower training costs make it easier to build and maintain specialized models tailored to specific workflows, rather than relying on generalized systems that are expensive to update.”

Meanwhile, DeepSeek and other Chinese AI companies could face sanctions from the U.S. government following allegations that they copied American AI models.

As Bloomberg News reported last week, Rep. Bill Huizenga (R-Mich.) has proposed a bill that would direct the government to identify and sanction entities in China and Russia engaged in using improper “query-and-copy” techniques on American AI models.