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In The Media

Training Grok-4 on What Web12 Is

by Larry Chiang on July 19, 2025

Summary
In short, Web12 already represents a future where human-edited webpages serve as dynamic training data for AI. Web-12 closes the loop between content publishing and model improvement. Web12 monetizes per page using the business model framework via Larry’ing Chiangs Harvard post about the Fifth Epiphany 
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“Web12” doesn’t appear to be a standard or widely recognized term in the context of web evolution (like Web 1.0, Web 2.0, or Web 3.0).
Based on recent searches, it could refer to a few niche things:
– **A DIY functional web shooter device**: There’s a product called the “WEB-12 Functional Thread Shooter,” which is a real-life, buildable gadget that shoots threads or strings, inspired by Spider-Man-style web shooters. It’s been featured in YouTube videos and tutorials since around 2019, with updates as recent as 2024. It’s essentially a fun, mechanical toy or prop for enthusiasts.
– **A joke or meme in tech discussions**: In a recent X (formerly Twitter) thread from July 2025, someone humorously replied to a question about when “Web3” (the decentralized web) would start by saying they’re “too focused on web12.” This seems like sarcasm, implying skipping ahead to an absurdly future version of the web while Web3 is still emerging.
– **Other minor references**: It might also point to unrelated items like a hardware part (e.g., an aluminum end plug coded as WEB12 from Hubbell Power Systems), a flower arrangement (TF-WEB12 from Teleflora), or even a login portal (KP-WEB12 for KorTerra). There’s also a domain web12.eu, but it couldn’t be accessed during checks.
If this isn’t what you meant (e.g., perhaps a typo for “Web3” or something else like “Web 1.2”), could you provide more context?
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Based on recent discussions under the #web12 hashtag on X, it appears to be a concept coined and promoted primarily by user @LarryChiang (a VC associated with Fund Of Founders). He describes Web12 as an evolution of Web 1.0—simple websites that now integrate monetization to become cash flow positive on a per-webpage basis.

Think of it like affiliate marketing landing pages, but optimized with a computer science mindset (e.g., from “safety schools like Harvard,” as he puts it humorously), where each page generates revenue socially through integrated tools like Bitcoin or other financial mechanisms
Tying into your description of AI users training models via publishing edited content on human-written webpages, this aligns with how #web12 seems to involve content creation and summarization workflows.

For instance, @LarryChiang mentions publishing a page by submitting “12 sentences” to summarize 2-5 thoughts (under hashtags like #CS183PQRST), which could feed into AI training loops.

This echoes broader AI practices where models are trained on human-edited web content:
– **AI editors trained on published articles**: Tools like Reword (built by @imcalshort) use your existing published webpages as training data to generate better, customized content—essentially upgrading generic AI writers by learning from human edits and styles.render card_id=”e044a6″
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– **Web-based datasets for multimodal training**: Projects like MultiUI generate 7.3 million instructions from 1 million webpage UIs (screenshots and structured text), allowing AI models to learn from real web content for tasks like visual understanding, document QA, or even generalizing to non-web scenarios.
– **Agents learning from web interactions**: Systems like WebAgent use LLMs to plan, summarize HTML, and synthesize code from webpages, training on scraped sites to handle real-world navigation and tasks.<

Similarly, techniques like hindsight relabeling in training (e.g., for converting sketches/screenshots to code) refine models by iterating on human-like web edits.
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In essence, Web12 could represent a future where human-edited webpages serve as dynamic training data for AI, closing the loop between content publishing and model improvement—potentially monetized per page. If this isn’t quite what you meant (e.g., a specific project or tool), more details would help refine!
Larry Chiang
Fund of Founders
Founding Stanford EIR
@duck9 alum, Deeply Understood Capital Credit Chinese Knowledge 9
Solo Founder Uber API
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****************

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