The new episode of the "Global Large Model Quarterly Report" is finally here, under everyone's strong urging.
This episode has two keywords.
**The first keyword is differentiation.** In this quarter, various model companies in Silicon Valley began to differentiate into various fields. Apart from Google Gemini and OpenAI still making general-purpose models, Anthropic differentiated into Coding and Agentic model capabilities; Mira's Thinking Machines differentiated into multi-modality and next-generation interaction.
**The second keyword is product.** In the past, the "Large Model Quarterly Report" has focused on the intelligent exploration of models, but Guangmi has begun to discuss products in detail, which is a first.
This is the 7th episode of the "Global Large Model Quarterly Report". If you like our series, we hope you will give us more encouragement and support. **Your praise is very important to us.**
2025, looking forward to our common progress with AI!
> **03:54 Model Differentiation**
General-purpose models with various capabilities - Gemini/OpenAI
All in Coding+Agentic capabilities - Anthropic
Multi-modal native - Thinking Machines Lab
Grok is still exploring its ecological position today
Meta's original 0-1 gene is still very weak
The most leading companies are very similar to F1 competitions
> **21:37 Horizontal Full-Family Bucket, Vertical Integration**
C-end is a very obvious head convergence trend, ChatGPT may converge many products at the C-end
As an investor or AI entrepreneur, one side is excited that the technology is progressing every month, and the other side is a bit desperate
An example of a horizontal full-family bucket is ChatGPT, which already includes Chat+Search+Coding+Agent+WorkSpace
An example of vertical integration is Gemini, from TPU chips, to Gemini models, to Agent applications on top, to Google Docs/Chrome browser/Android operating system/YouTube videos, which can do super integration
> **33:35 Intelligence and Product are Both Important**
In the past 3 years, we have been extremely obsessed with exploring the upper limit of intelligence, but in the past two months, we have begun to pay attention to products
ChatGPT has many non-technical barriers, while Coding or model companies only have technical barriers
OpenAI is the best balanced company, exploring the upper limit of intelligence while also transforming intelligent dividends into product traffic and brand awareness
> **38:52 Making AI Products is Like Mining, the Preservation Window is Key**
Mining: The first experience that amazes users is very important, even if the token consumption is very large, as long as you are the first to create Magic moments that amaze users, it is equivalent to you have received at least 500 million US dollars in marketing expenses, such as Perplexity/Cursor/Manus
But this window period is particularly interesting, the window is gradually shortening: from 2 years, 1 year, 3 months
Can product companies win over products made by model companies?
> **44:21 L4 Level Experience**
The two best Agents both have L4 experience: ChatGPT's Deep Research + Anthropic's Claude Code, corresponding to information search + software development respectively
Today's biggest dividend is still language/code dividend, especially code, not multi-modal/world model/robot
Claude Code has been killing it recently, Claude Code is an L4 experience
What other areas will have L4 level experience next?
> **52:43 Change in View of Google**
One guess is that ChatGPT will definitely make an advertising platform in the future, because it recently hired a new commercialization CEO
But I think Google is still the best advertising platform in the world. In the end, everyone's product forms will converge to the same goal, and what is integrated together is the full-family bucket logic, and Search will also evolve
> **55:53 Other Topics**
Is there a bubble in AGI? If there is a bubble in AGI, what will be the trigger to burst the bubble?
What is the difference in intelligence level between humans and gorillas?
What new topics have been discussed more recently in the Bay Area?
**"Jewish finance, Chinese AGI"**
[Global Large Model Quarterly Report] Series
2023: Oral Global Large Model This Year: Human Billion-Dollar Scientific Gamble and Uneven Sino-US Landscape
2024 Q1: Chatting with Guangmi about the AGI Large Infrastructure Era: Electricity + Chip = Output Intelligence
2024 Q2: Oral Global Large Model This Half Year: Perplexity's Sudden Popularity and the AI Application Ecosystem That Has Not Yet Exploded
2024 Q3: AGI Paradigm Shift: Predicting Strawberries, OpenAI o1 and Self-Play RL with Guangmi
2024 Q4: Large Model Quarterly Report Year-End Special: Predicting the Way LLM Products Surpass Google with Guangmi
2025 Q1: Large Model Quarterly Report: Chatting with Guangmi about the Biggest Non-Consensus at the Moment, the Main Line and Main Peak of AGI
Original title:
112. 和广密聊大模型季报:分化与收敛、全家桶与垂直整合、L4体验与挖矿窗口
Original description:
<figure><img src="https://image.xyzcdn.net/Flo18nNUSP7OUNlTf8UgCdHxio6O.jpg" /></figure><p>在大家的强烈催更…