Tag: #ai-for-science22 results
Freshman in well-known lab struggles to identify truly open problems in hardware-aligned ML. Feels ideas are either done or inadequate; questions 'future work' validity and search pitfalls. Aims to accelerate affordable AI-for-science via lab summer project.
Zhou Hongyi and Liu Cixin warn that neglecting AI development stalls civilization, predicting billions of 'Lobster' agents evolving into a new species with their own internet. They emphasize mastering agents to avoid becoming AI appendages and highlight AI's role in scientific breakthroughs like nuclear fusion. Software industry faces fragmentation as AI handles code generation and maintenance.