OpenAI Founder Sam Altman: Making Models Smarter Remains the Top Priority
OpenAI CEO Sam Altman stated that he has repeatedly considered the desire for models to be cheaper and faster more than for them to be smarter, but ultimately believes that simply enhancing intelligence is still the most important thing at present.
This viewpoint reflects OpenAI's prioritization of model capability advancements while pursuing computational efficiency.
In the AI race, the commercial and application value brought by performance advantages continues to outweigh short-term cost optimization, becoming an industry consensus.
Source: Public Information
ABAB AI Insight
Sam Altman has previously pushed for the intelligence leap from GPT-3 to GPT-4, having invested heavily in the o1/o3 reasoning models. This statement continues OpenAI's strategic path of "cutting-edge intelligence" as its core competitive advantage, similar to the early decision to abandon short-term profits to fully sprint towards AGI.
In terms of capital, OpenAI continues to invest substantial resources into larger-scale training and post-training rather than merely optimizing reasoning costs, with partners like Microsoft providing computational support. The motivation is to maintain pricing power and ecological dominance through intelligent barriers, concentrating funding from efficiency tools to general superintelligence.
Similar to Google DeepMind's insistence on cutting-edge capabilities with the Gemini series and Anthropic's investment in the iterative intelligence of Claude, the current large model industry is in an "intelligence is king" expansion phase, where cost optimization serves more as an auxiliary rather than a primary focus.
Essentially, this is about technological substitution and capital concentration: smarter models can solve more complex tasks and drive new application scenarios, replacing traditional software and labor. The mechanism is that the exponential value brought by intelligence enhancement far exceeds the linear cost reduction, leading industry resources to concentrate in a few laboratories with the strongest cutting-edge capabilities, shifting pricing power from general infrastructure to top intelligent platforms.
ABAB News · Cognitive Law
Intelligence brings exponential value, while saving money only yields linear returns.
The thicker the capability barrier, the more secondary cost optimization becomes.
In the endgame of competition, intelligence is the ultimate moat.