The edited Qwen3.5-0.8B is on Hugging Face, rebuilt by @akhaliq from the team's logs; the model card says only two tensors differ from the base model, and the independent run scored 51.0% against 48.1% originally. Separately, Scott Armstrong and Ahmed...
VQV Signal
RESEARCH
WATCH
TECHNICAL
AI research: the Weight-Space Programming model is now public with an independent 51.0% MATH-500 re-run, and AI agent...
The edited Qwen3.5-0.8B is on Hugging Face, rebuilt by @akhaliq from the team's logs; the model card says only two tensors differ from the base model, and the independent run scored 51.0% against 48.1% originally. Separately, Scott Armstrong and Ahmed...
The edited Qwen3.5-0.8B is on Hugging Face, rebuilt by @akhaliq from the team's logs; the model card says only two tensors differ from the base model, and the independent run scored 51.0% against 48.1% originally. Separately, Scott Armstrong and Ahmed Bou-Rabee's paper says GPT-6 Astra and GPT-6.1 Sol agents...
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Signal Strength 95%
Technical label WATCH
Public Interest 20
Category RESEARCH
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 0
Practical Impact Score 0
Novelty Interest Score 70
Consequence Score 18
Curiosity Score 16
Shareability Score 21
VQV surfaced this signal because it is recent, relevant to AI Agents, connected to Scobleizer News Pulse (X).
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