Suggests that when Meta AI started throwing around those multi-million-dollar paychecks they got 12 from OpenAI, 5 from DeepMind, 2 from Thinking Machines Lab and none from Anthropic.
(There's a small print disclaimer about accuracy at the bottom: "This report was generated automatically by Keenable SELECT at a user's request, from publicly available web sources linked herein. Keenable does not review, verify, or endorse its contents and makes no representation as to accuracy, completeness, or timeliness; AI-based extraction may contain errors.")
Hey! I’m on the team working on this. The semantic web comparison is pretty close to how we think about this.
One key difference is that we’re using LLMs to create structured data on the fly based on the query. That means we don't need to relying on webmasters to explicitly annotate pages with metadata which in my view was one of the main reasons why the semantic web did not work out.
Suggests that when Meta AI started throwing around those multi-million-dollar paychecks they got 12 from OpenAI, 5 from DeepMind, 2 from Thinking Machines Lab and none from Anthropic.
(There's a small print disclaimer about accuracy at the bottom: "This report was generated automatically by Keenable SELECT at a user's request, from publicly available web sources linked herein. Keenable does not review, verify, or endorse its contents and makes no representation as to accuracy, completeness, or timeliness; AI-based extraction may contain errors.")
One key difference is that we’re using LLMs to create structured data on the fly based on the query. That means we don't need to relying on webmasters to explicitly annotate pages with metadata which in my view was one of the main reasons why the semantic web did not work out.