Google’s year-long pause in new base-model pretraining draws sharp criticism
teortaxesTex · x · 2026-07-22
The post criticizes Google for reportedly going more than a year without pretraining a new base model, calling it a major self-own for one of the most compute-rich companies in the world. The author argues that even a rough 2026 Q1 pretrain would likely outperform Google’s current lineup.
Related event: Google Criticized for Year-Long Gap in New Base Models(2 posts)→
More from Models
- Open-Weight Model Hy3 Ranks #16 in Frontend Code Arena — arena · 2026-07-22
- DeepSWE Eval: Kimi K3 Matches Claude Fable 5 at 35% of the Cost — togethercompute · 2026-07-22
- Gemini 3.5 Flash Outperforms GPT-5.6 in Light Coding Tasks — Shick_hydro · 2026-07-22
- NVIDIA says Nemotron 3 Ultra scored 30/42 on the 2026 IMO problems — NVIDIAAI · 2026-07-22
- Gemma-4-26B-a4B reportedly beats Qwen3.6 and Qwen3.5 MoE fine-tunes — JLeonsarmiento · 2026-07-22
- Muse Spark 1.1 lands at 1495 on Text Arena with standout agentic-coding price performance — ycombinator · 2026-07-22