Search and filter through extracted claims from AI researchers.
Showing 61-80 of 135 claims in topic "scaling"
Whether Aschenbrenner's bets were correct long-term remains to be seen
Autonomous kernel optimization by GPT-5.6 Sol reduced end-to-end serving costs by 20%
Frontier post-training increasingly looks like expert training followed by distillation
Moonshot AI shipped Kimi K3 which has been independently validated to beat Opus 4.8
K3 became one of the top 5 most liked models of all time on Hugging Face within 24 hours of release
K3 surpassed established models like Llama 3 and Whisper in popularity on Hugging Face
AI has advanced for more than a decade by training ever-larger models on ever-larger datasets
Weight space learning could dramatically reduce the cost of developing specialized models
Future AI systems may be trained on collections of existing models instead of raw data
Intelligence will become a commodity like electricity through training efficiency improvements
Pipeline data may be stale or degraded.
Last synthesis: 2026-09-20. 8,949 pending.