At the NeurIPS 2025 conference, AI experts highlighted that the current strategy of scaling larger transformer models is hitting a performance ceiling, even as Google celebrated the strong results of its Gemini 3 model. Researchers argued that simply adding more data, compute, and training time no longer yields meaningful gains, pointing to a "scaling wall" and the need for new architectures such as neurosymbolic systems or world models. The consensus was that while models like Gemini 3 demonstrate impressive capabilities, they remain fundamentally limited pattern‑matchers lacking true reasoning or causal understanding, underscoring the gap to artificial general intelligence. Leer más →

Andy Konwinski, co‑founder of Databricks and the AI research firm Laude, warned that the United States is losing its AI edge to China, describing the shift as an existential threat to democracy. Speaking at the Cerebral Valley AI Summit, he highlighted that PhD students at top U.S. universities are seeing twice as many compelling ideas from Chinese firms as from American ones. Konwinski argued that open‑source collaboration, exemplified by the freely released Transformer paper, is essential for breakthroughs, while proprietary models and multimillion‑dollar salaries are draining talent from academia. He urged the U.S. to revive open scientific exchange to stay competitive. Leer más →