Paper AnalysisResearch
What Is BrowseComp? OpenAI's Hard Benchmark for AI Agents
BrowseComp is OpenAI's benchmark for hard, multi-step web questions that stump most AI agents. See what it tests, why it is so hard, and what scores mean.
Paper AnalysisResearch
WebGPT: Teaching Language Models to Browse the Web for Themselves
Large language models are notorious for hallucinations—confident answers that are disconnected from reality. OpenAI’s WebGPT paper offers a solution: let the model search, read, and cite the web in real time to dramatically improve factual accuracy.
Paper AnalysisResearch
ChatGPT vs Google Search: Speed, Accuracy, and Trade-offs
A study pits ChatGPT against Google Search. ChatGPT wins on speed and experience but slips on fact-checking. Here is when each tool is the right call.
Paper AnalysisResearch
Strategic Text Sequences: Gaming AI Product Recommendations
Research shows how Strategic Text Sequences manipulate LLMs to push products in AI recommendations. How the attack works and why it matters for AI search.
Paper AnalysisResearch
When Explanations Fail, Trusting AI Becomes a Pragmatic Strategy
A breakdown of ‘Why Trust in AI May Be Inevitable,’ exploring its knowledge-network model for explanations, why explanation can fail, and how AI teams can design verifiable trust-building processes.
MethodologyPaper Analysis
The GEO Paper: How to Boost Visibility in AI Search
A deep dive into the Princeton GEO research paper. What Generative Engine Optimization is, the nine methods tested, and which ones lifted AI visibility most.