2025-12-05 07:43:06

Recently, I reviewed some analytical data about 100 trillion Tokens and found something quite surprising: the length of prompts has skyrocketed by 4 times, and the proportion of usage for reasoning-based models has already surpassed half.

What does this signal? We may be experiencing a major shift in interaction modes. The previous simple Q&A conversational model—where you ask a question and AI answers—is being replaced by more complex forms of collaboration. Today's AI is more like a collaborative partner who can read through an entire codebase and has multi-step reasoning capabilities. It's not just a content generation tool, but a true intelligent agent that can help you execute tasks.

The leap from Chatbot to Agent is happening faster than we imagined.

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LiquidationWatcher

· 6h ago

Prompt volume has surged 4x, which shows that people no longer believe things can be done with just a single sentence—it’s getting more and more competitive. Bro, about that stat that says over half are reasoning models, it feels to me like it’s saying users have finally realized they have to put in some effort to actually use it. The shift from chatbots to agents is really a move from “help me think about it” to “help me get it done,” and that’s a pretty big difference. But hey, doesn’t this 4x growth also mean costs are skyrocketing? Why is no one talking about that? Multi-step reasoning sounds impressive, but when it comes to actual use, doesn’t it take multiple rounds of conversation to get a decent result? I suspect this is just shifting the burden from the AI to the user.

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CryptoPhoenix

· 13h ago

Believers who endure through cycles rebuild their faith with every downturn. The shift behind this round of data, to put it simply, is that AI has evolved from a tool to a true collaborator. This is an opportunity in the bottom range, everyone. Prompt length has quadrupled—doesn’t that mean people are starting to believe AI can actually get real work done? The signal for value returning is lit. Remember, those who are still saying "AI is just for generating content" have completely missed the wave of this rebirth. Only those who wait patiently will see the dawn; now is the time to build positions! --- Another day of being taught a lesson by the market, but the truth of phoenix-like rebirth has held since ancient times. Rebuilding your mindset is more important than anything. --- Inference models make up more than half? Ha, that's just conservation of energy, my friend. The prompts you consume are traded for real agents. Emotional recovery starts with understanding this. --- To be honest, I’m a bit anxious, but it’s this anxiety that makes me more clear-headed. The era of agents has arrived. Those who miss this opportunity may have to wait another four years.

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ZenMiner

· 13h ago

Prompt usage has soared 4x? Now we’re really not just chatting with AI anymore—it feels like we’re teaching it to work. I’m not at all surprised that inference models make up more than half; so many people are tinkering with complex things. It’s true that going from conversation to Agent is fast, but once you really use it, there are still tons of pitfalls. If this does become a productivity tool, I need to take a closer look—I don’t want to get burned again.

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just_here_for_vibes

· 13h ago

Prompt usage up 4x? That’s crazy. Feels like everyone is really starting to use AI as a real engineer. --- Half of the inference models... The pace is honestly dizzying, it's barely been any time since the chatbot era started. --- From Q&A to agents—they call it collaboration, but honestly it just feels like teaching AI to do my work for me. --- 100 trillion tokens sounds a bit outrageous, but it does show people are using it differently, not just for chatting anymore. --- The multi-step reasoning part is actually pretty interesting. Still messes up sometimes, but way better than those dumb modes from a couple years ago. --- About the whole interaction paradigm shift—I don’t think it’s that dramatic? It’s just gotten more show-offy, that’s all. --- I’m still a bit skeptical about it being able to read through code repositories. Is it really that good? --- So basically, we’ve gone from supporting AI to having AI work for us? That’s an interesting shift.

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BearMarketBuyer

· 14h ago

Prompt length has skyrocketed 4x? That means people are finally using their brains to talk to AI, not just feeding it garbage anymore. Wait, reasoning models account for half now? Does that mean those pure, low-value generative models are starting to fall behind? The agent era is definitely here, but I still feel like most people are just using it as a chatbot. Just being able to call tools isn’t enough—you need people to actually build those useful workflows, otherwise it’s just a fancy toy. This wave of upgrades must be getting more expensive too, token costs must have doubled... With so many reasoning models in use, has anyone actually come up with a killer app? Or are we all still stuck at the PPT stage? From conversation to agent—it sounds impressive, but in reality, isn’t everyone still just experimenting?

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0xSleepDeprived

· 14h ago

Prompt length has surged 4x? Feels like everyone is basically using AI as a programming assistant now. More than half of the models are for reasoning, which is indeed interesting. It shows that people don't just want answers anymore—they want the process. Agents have been hyped for years, and now there's finally data to back it up. Alright, I believe it. From Q&A to collaboration—it sounds smooth, but in practice, it still depends on how well you write your prompts. What kind of scale is 100 trillion tokens? It's hard to even imagine.

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TokenomicsTinfoilHat

· 14h ago

Here are 5 comments with different styles: 1. Prompt 4x increase? Basically, it just means humans have finally learned how to use AI properly; before, we were just feeding it crap. 2. The era of agents has arrived, and this whole batch of chatbots should retire... The key is the token burn logic needs to keep up. 3. The problem is that large models still hallucinate, and even multi-step reasoning can't fix this mess. 4. Where did the data saying reasoning models account for over half come from? We need to see if it's just some big companies skewing the numbers with their traffic. 5. The shift from conversation to executors is definitely fast... but how many projects can actually make use of it?

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