Open-source labs could distill a state-of-the-art model to 32GB or 80GB VRAM, the post argues
bookwormengr · x · 2026-07-21
Distillation could make open-source labs competitive on 32GB–80GB hardware
The quoted post argues that if distillation were the only trick needed, western open-source labs could already have raised enough money to distill models like K3 or GLM 5.2 and get a state-of-the-art model that runs in roughly 32GB or 80GB of VRAM.
The underlying point is a skeptical one: the poster is challenging the idea that distillation alone is enough to close the gap, while highlighting the importance of model compression and deployability on limited hardware.
More from AGI Musings
- Replit CEO on the 'self-driving company': agents to absorb coordination costs by 2030 — amasad · 2026-10-27
- US senator slams AI industry for proposing 50-death threshold for 'catastrophic incident' — peterwildeford · 2026-10-27
- Replit CEO Says AI Makes All Software De Facto Open Source; Aakash Gupta Asks What Moats Remain — aakashgupta · 2026-10-27
- Understanding the AI consciousness debate: which theory of mind is behind it — msharmas · 2026-10-27
- Functionalism: if consciousness is just what the brain computes, silicon can run it too — msharmas · 2026-10-27
- iPhone case with 85,000 reviews in days: everything fake in the age of abundance — tekbog · 2026-10-27