{"id":118855,"date":"2026-07-25T17:41:57","date_gmt":"2026-07-25T17:41:57","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/118855\/"},"modified":"2026-07-25T17:41:57","modified_gmt":"2026-07-25T17:41:57","slug":"agi-at-all-cost-nvidia-is-digging-its-own-grave-deepseek-ceo-just-declared-war-on-silicon-valley-2","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/118855\/","title":{"rendered":"AGI at all cost, Nvidia is digging its own grave: DeepSeek CEO just declared war on Silicon Valley"},"content":{"rendered":"

It is not common to see Chinese tech pioneers express their thoughts publicly. But that is exactly what DeepSeek CEO Liang Wenfeng<\/a> has done, giving us a glimpse of the person behind one of China\u2019s leading AI labs. You see, unlike OpenAI CEO Sam Altman or Anthropic\u2019s Dario Amodei, Liang Wenfeng does not care about revenue or profit. The DeepSeek chief says that he has only one goal \u2013 artificial general intelligence, or AGI<\/a>, a state where AI can start thinking like humans.<\/p>\n

Recently, a record of a nearly four-hour exchange between Liang Wenfeng DeepSeek\u2019s investors was made public. In the discussion, Liang set out his view of DeepSeek\u2019s purpose, and almost declared war on Silicon Valley, not only in the race for powerful AI models, but also when it comes to advanced AI chips.<\/p>\n

No IPO, DeepSeek doing this for goodwill<\/p>\n

At a time when OpenAI and Anthropic are planning to go public at trillion-dollar valuations<\/a>, Liang Wenfeng dismissed the idea of an IPO for DeepSeek. He says that he never cared about making money. \u201cOur original intention was not that I ultimately wanted to make a certain amount of money, to go to the capital markets, to IPO, or anything like that. So we didn\u2019t have that original intention,\u201d the DeepSeek CEO said.<\/p>\n

So much so, that the DeepSeek chief labelled revenue as \u201csesame seeds\u201d that he is not too concerned about picking up. He said, \u201cThe sesame seeds in front, we\u2019ll pick some up, but we just pick up a bit casually \u2013 we won\u2019t stop, or treat it as an important matter.\u201d Instead, Liang Wenfeng had eyes on the \u201cwatermelons\u201d that may be there in the future.<\/p>\n

Rather than money, Liang believes that DeepSeek exists to be useful for humanity, something which he says is far more important than money. He explained,”So overall, we\u2019re doing this with tremendous goodwill toward the world, and then we feel this is useful for humanity\u2014this is something beyond money.”<\/p>\n

Do note that OpenAI, which started as a non-profit, turned into a for-profit organisation last year, though its non-profit arm retains a 26 per cent stake.<\/p>\n

Liang Wenfeng insisted that any large company needs a vision to stick to, but this doesn\u2019t come simply by words said by its leaders. Rather, a vision is only realised by the way a company operates. “What is vision? Vision is not a slogan hanging on the wall\u2014vision is how you do things, not how you talk, that is, how you actually operate,\u201d he added.<\/p>\n

AGI is the goal<\/p>\n

As AI labs in the US chase enterprise users in hopes of getting returns on their investments, Liang Wenfeng says that there is just one goal for DeepSeek \u2013 AGI.<\/p>\n

He explained, “Then next is the company\u2019s long-term vision \u2013 I think our goal should be AGI.\u201d He acknowledged that the definition of AGI differed depending on who you ask. \u201cEveryone\u2019s definition of AI isn\u2019t necessarily the same, but that doesn\u2019t stop us from treating AGI as our goal,\u201d the DeepSeek CEO said.<\/p>\n

According to Liang, AI\u2019s development is like a \u201cstaircase\u201d that progresses gradually. That is one advancement can help reach the next step. He explained, \u201cWhy is it a staircase? Because each subsequent step is based on the previous foundation. Agent uses CoT (chain of thought), and CoT also uses the previous step, which is the language model \u2013 so no step is wasted.\u201d<\/p>\n

That is, with time, Liang Wenfeng says, that AI agents too will develop further, and we will reach the next step, and eventually progress towards AGI. Once an AI system could learn continuously, he said, it would reach singularity. \u201cIt could then develop its own version, could research on its own, then develop its own next version, developing more advanced AI models. So it would reach a singularity, able to achieve its own iteration,\u201d he explained.<\/p>\n

Liang said this was also why DeepSeek wanted its models to be useful first to DeepSeek itself. If a model could help the company build the next model, then the route to AGI would become faster. He said AI did not fundamentally lack \u201ctaste and intuition\u201d but it still lacked the ability to learn continuously. That, rather than style or imagination, was the key technical barrier he saw.<\/p>\n

Nvidia digging its grave, Huawei to catch up<\/p>\n

To train an AI model, however, you need the most advanced GPUs out there. Due to trade restrictions imposed by the US, DeepSeek too faces limits on what kind of chips and how many it can buy from Nvidia — the largest player in this space<\/a>. This, Liang says, will likely push China to build a robust ecosystem for AI chips.<\/p>\n

The DeepSeek CEO said, \u201cIf it were in a normal business environment where I could buy Nvidia cards, then domestic substitution would be relatively hard, but when Nvidia cards can\u2019t be bought, everyone is forced into it \u2013 everyone has to do domestic chips.\u201d<\/p>\n

Liang Wenfeng says that with the restrictions, Nvidia was actually digging its own grave as Chinese players worked on building more advanced chips. \u201cI\u2019m relatively optimistic about domestic compute. I think on this point, Nvidia is digging its own grave. Huawei\u2019s supernode, Huawei\u2019s 950 supernode, in performance and price can completely substitute for Nvidia’s GB200, GB300,\u201d he explained.<\/p>\n

That is, instead of restrictions on Nvidia chips pausing AI development in China, Chinese companies were now building their own chips to meet their needs. DeepSeek is already working with Huawei to design advanced chips that can train AI models. Liang Wenfeng explained, \u201cWe currently mainly cooperate with Huawei. Huawei does their own adaptation, but we ourselves will participate in this ecosystem, and will deeply participate within Huawei.\u201d<\/p>\n

And another factor in the reducing dependence on Nvidia was the fact that DeepSeek no longer needed the Nvidia ecosystem, as it was able to write code on its own. Liang said, \u201cWhen DeepSeek V3 was trained, it still used Nvidia cards, but it already didn\u2019t use Nvidia\u2019s ecosystem. We first wrote a high-level compiler called TileLang, then, based on TileLang\u2019s ecosystem completed everything else.\u201d<\/p>\n

But there is still a long way to go before Huawei or any other Chinese player can provide like-for-like replacements for Nvidia chips. Denfeng said, \u201cThe only cost is that four Huawei cards equal one NVIDIA card, and simultaneously lagging by two years.\u201d<\/p>\n

Like how Huawei was able to create advanced AI chips, the DeepSeek CEO believes that Chinese AI labs too will create models that are not only powerful, but also much cheaper. He said, \u201cChinese people will make this product the cheapest, and then, in terms of effect \u2013 after all, foreign goods, now many goods where the Chinese-made and American versions don\u2019t have much difference.\u201d<\/p>\n

\u201cIn the future AI might be like this too, but Chinese-made AI might have a cheaper price. This cheapness might be systematically low, just like in other industries where China provides cheaper services,\u201d Liang Wenfeng said.<\/p>\n

While companies like OpenAI and Anthropic have closed-source models that usually are costlier to run due to token-based pricing, DeepSeek has open-weight models that are much cheaper to use. Like DeepSeek\u2019s models, other Chinese AI models like Moonshot AI\u2019s Kimi K3<\/a> and Zai\u2019s GLM 5.2<\/a> are also open-weight models.<\/p>\n

– Ends<\/p>\n

Published By: <\/p>\n

Armaan Agarwal<\/p>\n

Published On: <\/p>\n

Jul 24, 2026 09:49 IST<\/p>\n","protected":false},"excerpt":{"rendered":"It is not common to see Chinese tech pioneers express their thoughts publicly. But that is exactly what…\n","protected":false},"author":2,"featured_media":117401,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[6744,14512,3013,59609,6010,59610,59608,9755,58,47057],"class_list":["post-118855","post","type-post","status-publish","format-standard","has-post-thumbnail","category-agi","tag-agi","tag-ai-compute","tag-artificial-general-intelligence","tag-china-ai-race","tag-deepseek","tag-deepseek-investors","tag-huawei-ai-chips","tag-liang-wenfeng","tag-nvidia","tag-open-weight-models"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/118855","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=118855"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/118855\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/117401"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=118855"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=118855"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=118855"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}