Sam Altman frames the scaling debate around new reasoning results, while conceding that long-horizon work remains a hard gap.
Sam Altman argues that betting against LLM scaling is misguided, citing an internal reasoning model's mathematical work while still admitting long-horizon tasks remain weak.
The signal is not just the headline. It is how capital, regulation, infrastructure and user trust are being rearranged around AI.
Sources: The Decoder, CocoLoop.