Search Results: AIResearch

AI researcher Dan Fu analyzes four distinct pathways toward achieving AGI – evolutionary, emergent, engineered, and scaffolded – examining their technical foundations, challenges, and implications. This framework provides crucial context for understanding competing visions in AI development as capabilities rapidly advance.

MIT scientists have created a computational framework where AI agents evolve vision capabilities across generations, simulating how environmental pressures shape biological eyesight. This 'scientific sandbox' allows unprecedented exploration of evolutionary pathways by manipulating environmental constraints and tasks.

LavX's AI Research Assistant delivers curated insights, arguments, and sources for any technical topic, accelerating research cycles while maintaining accuracy and depth.

PACR emerges as a comprehensive academic social network and marketplace, leveraging AI to summarize, narrate, and interact with over 500 million research papers. Beyond discovery, it pioneers peer-to-peer funding, direct product purchasing from papers, and an academic marketplace, positioning itself as a unified platform for the modern researcher. Featured by Harvard Innovation Lab and major news outlets, it challenges traditional academic infrastructure.

Decades after its debut, NetHack remains a benchmark for AI research and a beloved artifact of gaming history. Its brutal permadeath mechanics and sprawling complexity continue to inspire academic study and modern game design, proving that depth transcends graphical fidelity.

In a groundbreaking experiment, the Agents4Science conference will feature papers entirely generated and peer-reviewed by AI agents. This sandbox event tests whether autonomous AI systems can conduct legitimate scientific research while providing crucial data on their limitations and potential. The October gathering forces academia to confront fundamental questions about AI's evolving role in knowledge creation.