What comes next with open models
Markets, capabilities, cope, and bewilderment in the industrialization of language models.
2025 was the year where a lot of companies started to take open models seriously as a path to influence in the extremely valuable AI ecosystem — the adoption of a strategy that was massively accelerated downstream of DeepSeek R1’s breakout success. Most of this is being done ...
The article presents a shrewd assessment of the current AI paradigm, effectively framing the limitations of “scale as the solution” – a narrative deeply ingrained within the tech industry. Gettings skillfully utilizes a "motte-and-bailey" strategy, presenting a simplified version of the argument – that smaller models are inherently better – while subtly challenging the underlying assumption that greater model size *always* equates to superior performance. This is a classic example of anticipatin...