--- title: "A lot of work around AI in 2023 was spent on building picks and shovels. I would know this because t..." source_name: "Jerry Liu(@jerryjliu0)" original_url: "https://x.com/jerryjliu0/status/2050373987860123971" canonical_url: "https://www.traeai.com/articles/27cdf921-84e3-42dd-afea-4045efb68f18" content_type: "tweet" language: "中文" score: 7.8 tags: ["AI","LLM","Agent","LlamaIndex","Document Parsing"] published_at: "2026-05-02T00:37:07+00:00" created_at: "2026-05-02T11:17:14.804619+00:00" --- # A lot of work around AI in 2023 was spent on building picks and shovels. I would know this because t... Canonical URL: https://www.traeai.com/articles/27cdf921-84e3-42dd-afea-4045efb68f18 Original source: https://x.com/jerryjliu0/status/2050373987860123971 ## Summary Jerry Liu指出2023年AI基建（如LlamaIndex）聚焦于底层工具建设，而当前重心已转向稳固的智能体抽象与编码能力；真正持久的护城河在于构建支持智能体行动的上下文层，尤其是复杂文档解析与结构化。 ## Key Takeaways - 2023年AI工作重心是打造‘铲子和镐’式基础设施，LlamaIndex早期即为此定位。 - 核心智能体抽象已趋稳定，编码智能体正推动更高阶的智能体工程范式。 - 智能体的长期价值壁垒在于上下文层建设——尤其文档解析、工具集成与系统对接能力。 ## Content Title: Jerry Liu on X: "A lot of work around AI in 2023 was spent on building picks and shovels. I would know this because that was basically the core goal of the original @llama_index framework. Today, a lot of that is no longer relevant. The core agent abstractions have solidified, and coding agents https://t.co/7WtTVGzMyJ" / X URL Source: http://x.com/jerryjliu0/status/2050373987860123971 Markdown Content: # Jerry Liu on X: "A lot of work around AI in 2023 was spent on building picks and shovels. I would know this because that was basically the core goal of the original @llama_index framework. Today, a lot of that is no longer relevant. The core agent abstractions have solidified, and coding agents https://t.co/7WtTVGzMyJ" / X Don’t miss what’s happening People on X are the first to know. [Log in](http://x.com/login) [Sign up](http://x.com/i/flow/signup) # [](http://x.com/) ## Post See new posts # Conversation [![Image 1](https://pbs.twimg.com/profile_images/1283610285031460864/1Q4zYhtb_normal.jpg)](http://x.com/jerryjliu0) [Jerry Liu](http://x.com/jerryjliu0) [@jerryjliu0](http://x.com/jerryjliu0) A lot of work around AI in 2023 was spent on building picks and shovels. I would know this because that was basically the core goal of the original [@llama_index](http://x.com/llama_index) framework. Today, a lot of that is no longer relevant. The core agent abstractions have solidified, and coding agents are letting everyone "engineer" agents at a higher level of abstraction. What continues to have a durable moat is building the context layer for agents. Agents don't inherently have the ability to do things without access to the right tools and data. The context layer can take many forms: - Web search and automation - systems of record - tools to SaaS software Every piece of software needs to become agent native, since agents are the new workers, and they need context to do things. For [@llama_index](http://x.com/llama_index) today, we're building a slice of that context layer: the document infrastructure for agents. We are building the best-in-class capabilities for agents to parse the most complex documents into clean context, and also building expanded tooling on top of that. Big shoutout to [@VentureBeat](http://x.com/VentureBeat) for a fantastic interview + article! [![Image 2: Image](https://pbs.twimg.com/media/HHRkRAEa4AAcIRe?format=jpg&name=small)](http://x.com/jerryjliu0/status/2050373987860123971/photo/1) Quote ![Image 3: Square profile picture](https://pbs.twimg.com/profile_images/1967920417760251904/0ytfduMQ_mini.png) LlamaIndex ![Image 4: 🦙](https://abs.twimg.com/emoji/v2/svg/1f999.svg) @llama_index · 14h Our CEO @jerryjliu0 in @VentureBeat , on what's actually changing in the LLM stack: "We've really identified that there's a core set of data that has been locked up in all these file format containers. Ultimately, whether you use OpenAI Codex or Claude Code doesn't really [12:37 AM · May 2, 2026](http://x.com/jerryjliu0/status/2050373987860123971) · [4,665 Views](http://x.com/jerryjliu0/status/2050373987860123971/analytics) 9 4 29 16 Read 9 replies ## New to X? Sign up now to get your own personalized timeline! 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