Rapid LLM development is outrunning the research meant to explain it, study finds
Stanford researchers tested 50 widely cited claims about LLMs against 20 current models. 44 percent of the findings are already "expired," and another 34 percent have weakened significantly. The average lifespan is just 15.7 months. Claims about what models can't do expire…
- 01.Stanford researchers tested 50 widely cited claims about LLMs against 20 current models
- 02.44 percent of the findings are already "expired," and another 34 percent have weakened significantly
- 03.The average lifespan is just 15.7 months
This material is provided as an extended analytical summary.
Read full article at sourceRelated Intelligence
All stories →OpenAI says GPT-6 Astra designed a hardware device from scratch in under a week
OpenAI's hardware team used GPT-6 Astra to design a device for the Codex coding agent in under a week, handling everything from the enclosure to the circuit board to the firmware. Several revision rounds were needed before production because the model didn't always account for…
The AI bubble is popping
David, where are we right now? >> So, we're in San Francisco, specifically the Golden Gate Park. And actually, look at those [ __ ] waves. >> Yeah. >> All right. So, how do you see the state of AI today? The stock market is crashing. Fable 5.5 is about to release. There are…
ChatGPT догоняет Google по поисковым запросам, заявляет OpenAI
OpenAI заявила, что объём поисковых запросов в ChatGPT достиг 20% от объёма Google. Рассказываем подробности.