There is only one most explosive signal today, GPT-6 Astra. Once this thing came out, it basically monopolized the entire Chinese Internet's technological topics. Zhihu hot lists, WeChat hot articles, BIZ channels, and product lists were all on the screen. But the more I read these titles, the more I felt that something was wrong. It was okay for OpenAI to shout "AGI is here" and "Humanity has entered the AGI era." Even the domestic media also followed suit. Isn't it a bit too anxious?
String a few signals together and it will be interesting to see. The WeChat article about the ARC-AGI-3 test directly pointed out that GPT-6 cost US$360 for each question, and the score approaching 100% was accumulated based on money ability. This is in line with another article about the Token economy. GPT-6 introduces a "loop depth" architecture. To put it bluntly, it means crazy iterative calculations during reasoning. What is cut off is thinking about the presentation of Tokens, but the computing power consumption behind it is even more exaggerated. What OpenAI is now playing is not "models get smarter", but "models get more expensive." This is not AGI, this is AOI, Artificial Overpriced Intelligence.
Look at the news that Nvidia acquired Hugging Face for US$12.9 billion, which forms a subtle contrast with GLM-5.3 's dominance of the Hugging Face list. The more lively the open source ecosystem, the more locked up the underlying computing power. Smart Spectrum has thrown out all open source versions of GLM-5.3 and Flash, rising by more than 2,000 stars a day. It seems to be the light of domestic production, but if you think about it carefully, the more comfortable developers use it, the last one who will pay the bill is Nvidia's GPU. This set of rules of the game has not changed, just the players have changed.
The same script was also used at Dachang. Tencent's capital expenditures in the second quarter were 52.8 billion yuan, Alibaba's 67.7 billion yuan, and Baidu's 11.4 billion yuan, all of which were spending money on AI infrastructure. But spending money is not the same as a moat. The entrance to the Agent era has not yet been decided. The money burned now may be a wedding for a new platform in the future. The old moat is collapsing, but the new one has not been built yet. Everyone is swimming naked, but in different postures.
So my judgment is very simple. The release of GPT-6 is essentially a re-division of pricing power, not a technical singularity. OpenAI knew that it was no longer possible to open the gap solely by relying solely on model capabilities, so it pulled the battlefield to the depth of reasoning and the scale of computing power, and used money to squeeze competitors out of the table. The threshold for AGI has never been the level of intelligence, but the thickness of capital. The most important thing for ordinary developers now is not to worry about being eliminated, but to figure out which links in your workflow are worth paying for such high-priced reasoning, and which ones are enough to use open source models or even local small models. Don't be led away by the party titled "AGI is here." Clear accounting is more important than anything else.