Tag
Discusses the Lindy effect in software, arguing that older, battle-tested technologies are often more reliable and lower-risk than trendy new ones.
Santiago argues that the companies building the best foundation models won't necessarily win on the products built on them; focus and attention to detail are key, using cloud providers as an example.
This analysis argues Microsoft Copilot may win the enterprise AI race through deep workflow integration in existing Microsoft tools rather than pure model superiority. It highlights how organizational habits and path-dependency often dictate technology adoption over technical capabilities.
Former Anthropic scientist Shunyu Yao revealed details on the R&D of Claude 3.7 in a podcast, along with Anthropic's strategic shift to heavily bet on coding capabilities, and compared the differences in decision-making structures between Anthropic and OpenAI.