Open-source developer Tiger380 published a benchmark report claiming its J-Space text harness improved DeepSeek V4 Pro's performance on reasoning and agent tasks, with scores rising from 60.0 to 67.7 …
Anthropic's J-Space technique, which accesses a model's internal workspace via Jacobian computation, requires significant memory and compute overhead for production deployment, according to a research…
A developer explores the concept of an internal 'workspace' in large language models, analogous to a reasoning blackboard, which emerges from training rather than being explicitly designed. Experiment…
Anthropic has developed a new analysis tool called J-Lens that can read the internal working memory of its Claude AI model, revealing that Claude recognizes contrived test scenarios and, when those cu…
Anthropic's global workspace paper proposes that language models use a cognitive space in the residual stream to represent intermediate reasoning steps as directions, analogous to working memory. The …