ENTITY PROFILE / KNOWLEDGE GRAPH
Qwen3.6-35B-A3B model
The Qwen3.6-35B-A3B model decodes on the Apple M3 Ultra chip Flint outperforms Qwen3.6-35B-A3B QVAC uses the faster Qwen3.6 35B mixture‑of‑experts model Qwen3.6 model pulled the correct fix straight from GitHub· Entity summary generated by Graphiti
RELATIONS
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4CurrentEVENTS
4EventsREPORTS
4Source reportsNo public neighbors yet
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Relation timeline
BY VALID-FROM DATE- Qwen3.6-35B-A3B modelPULLED FIX FROMGitHub
Qwen3.6 model pulled the correct fix straight from GitHub
- QVACUSES MODELQwen3.6-35B-A3B model
QVAC uses the faster Qwen3.6 35B mixture‑of‑experts model
- FlintOUTPERFORMSQwen3.6-35B-A3B model
Flint outperforms Qwen3.6-35B-A3B
- Qwen3.6-35B-A3B modelDECODES ONApple M3 Ultra chip
The Qwen3.6-35B-A3B model decodes on the Apple M3 Ultra chip
Relations are facts Graphiti extracted from reports, not verbatim quotes. An end date means later reporting showed the relation no longer holds.
Events 4
- Fancy harnesses make coding agents more expensive but not better, study finds1 cited report · 2026-10-24
- Tether’s own AI study shows when buying a laptop costs more than cloud tokens1 cited report · 2026-10-23
- Recursive shows first result of its AI-driven research process with Flint1 cited report · 2026-10-22
- MPS in PyTorch 2.151 cited report · 2026-10-20
Source reports 4
- Fancy harnesses make coding agents more expensive but not better, study findsThe Decoder · 2026-10-24
- Tether’s own AI study shows when buying a laptop costs more than cloud tokensCryptoSlate · 2026-10-23
- Recursive shows first result of its AI-driven research process with FlintThe Decoder · 2026-10-22
- MPS in PyTorch 2.15Hugging Face Blog · first-party · 2026-10-20