Thinking Machines' Strategy Gains Traction
ziv_ravid · x · 2026-07-18
The author argues that Thinking Machines has the strongest playbook: they already have customers on Tinker, and their in-house open-source models will reciprocally enhance the value of these services.
Furthermore, the author emphasizes that those who best understand how to fine-tune these models are the very ones who trained them, giving them a clear advantage in combining fine-tuning with services.
More from Companies & People
- Interpretability researcher mathildepapillo joins Goodfire post-PhD, calls interp the key problem — mathildepapillo · 2026-10-27
- UCSB CS Prof. Xifeng Wang lands 3 grants worth $180K+ for practical agentic AI research — xwang_lk · 2026-10-27
- EMNLP keynote: industry does read academic NLP papers, it just rarely credits them — srchvrs · 2026-10-27
- Anthropic's $80B "loss" is mostly convertible-note accounting, not cash burn — beffjezos · 2026-10-27
- Anthropic's IPO filing reveals unusual succession plan: confidential ranked lists of up to 10 successors per founder — annatonger · 2026-10-27
- University of Freiburg's Generative Intelligence Lab recruiting funded PhDs via ELLIS, apply by Oct 31 — yuyinzhou_cs · 2026-10-27