Agentic Discovery and the Future of Long-Tail Fact Retrieval
Exploring how agentic reasoning models move beyond static RAG to automate the discovery of niche, long-tail facts with high precision.
Research
Papers that actually matter
28 articles in this section.
Exploring how agentic reasoning models move beyond static RAG to automate the discovery of niche, long-tail facts with high precision.
AI-generated research papers and fraudulent paper mills are creating a synthetic feedback loop that threatens the validity of academic prestige metrics.
The IntentGrasp benchmark reveals a critical void in LLM architecture: the inability to distinguish between literal instructions and actual human intent.
An analysis of Anthropic’s ‘Teaching Claude Why’ research and the trade-offs between constitutional reasoning and raw model performance.
Exploring how LLM agents can infer restricted data from partial evidence, creating a new vector for privilege escalation in enterprise RAG pipelines.
Google DeepMind’s AlphaEvolve uses Gemini to autonomously evolve code, raising questions about the trade-off between performance and maintainability.
Pharma companies are spending billions on AI for drug discovery, and the results are already showing up in clinical trials. But the real question isn’t “can AI find new drugs?” It’s “who owns the data that makes AI find drugs?” AI in drug discovery sounds like science fiction unt
NVIDIA data center revenue just hit $25 billion in a quarter. Yes, $25 billion. And they are making the rest of the semiconductor industry look like a side hustle. But $25 billion is both impressive and unsustainable. NVIDIA has been growing so fast that every quarter, they are e