9 October 2026
Analyst argues near-term AI gains will come from efficiency, not research leaps
First reported
Interconnects ran this on .
- The argument is that the next AI gains will mostly come from cheaper, faster running of models.
- Those gains are described as easy to measure, unlike large jumps in how well AI does research.
- The author expects the cost of using AI to fall very quickly over time.
Our read
Only one of the 30 tracked newsletters, Interconnects, covered this analyst argument, first reported on 2026-10-09. It follows two earlier archive stories on the same thread about efficiency gains, from 2026-08-17 and 2026-08-20.
Earlier on this story
Written by Newskeryx from which newsletters covered this story and from our own archive.
How it was covered
InterconnectsNathan Lambert
Training and inference efficiency metrics, cost declines, GPU versus co-designed accelerators, and automating pretraining research