VQV Signal
According to a post on X by @SimonHoiberg, his team had a frontier model work through thousands of realistic support cases and kept only those that met their standard. They used those cases to train a small LoRA on Qwen 3.8 27B. He claims it now delivers Opus 5.5-level quality for that job on their own hardware, with no API bill. The post is a self-reported claim, and the excerpt is cut off, so the full method and evaluation are not shown.
According to a post on X by @SimonHoiberg, his team had a frontier model work through thousands of realistic support cases and kept only those that met their standard. They used those cases to train a small LoRA on Qwen 3.8 27B. He claims it now delivers Opus 5.5-level quality for that job on their own hardware, with no API bill. The post is a self-reported claim, and the excerpt is cut off, so the full method and evaluation are not shown.
AI-assisted summary based on the listed source.
@SimonHoiberg said his team had a frontier model work through thousands of realistic support cases, kept only those meeting their standard, and trained a small LoRA on Qwen 3.8 27B with them. He claims it now delivers Opus 5.5-level quality for that job on their own hardware, with no API bill or rat...
Teams running support workflows could weigh a local, fine-tuned model against paid frontier API calls, if the claim holds up. Readers should watch for how the evaluation was done, how quality was measured, and whether others reproduce similar results on comparable tasks. For now, this is a single creator's self-reported result.
Hardware and robotics watchers may want to track whether this becomes a product, benchmark, or deployment signal.
VQV organizes public signals from inspectable sources. It does not independently verify the underlying report.
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
VQV surfaced this signal because it is recent, relevant to Open Source LLMs, connected to Scobleizer News Pulse (X).
No login, cookies, social SDKs, or automatic posting.
