The AI Control Problem: Beyond Model Transparency
Anthropic's research on J-space interpretability calls into question the possibility of full engineering control over the internal mechanisms of LLMs. A paradigm shift in safety: moving from rigid…
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Anthropic Sheds Light on AI Reasoning with J-Space Research
Anthropic's J-space research reveals a hidden layer in AI models where reasoning unfolds, without attributing consciousness to machines.

Anthropic's J-Lens Unlocks the Hidden Logic of AI, A Major Leap in Understanding Large Language Model Intelligence
Artificial intelligence has progressed from generating convincing text to performing increasingly sophisticated reasoning, planning, softwar
Anthropic's AI safety reports examined: Is the AI exponential a natural force or a constructed narrative?
Reading Anthropic's new reports on the 'AI exponential' and recursive self-improvement alongside recent scholarship on tech oligarchy, this
Anthropic's path toward recursive self-improvement in AI development
Our progress toward recursive self-improvement, and its implications.
Anthropic's progress toward recursive self-improvement in AI development
Our progress toward recursive self-improvement, and its implications.
Anthropic's progress toward recursive self-improvement in AI development
Our progress toward recursive self-improvement, and its implications.
Critique of the Agent Model: Distinguishing Automation from Genuine Agency in AI Systems
What is an agent? What constitutes agency? With the rise of Large Language Model (LLM) systems marketed as ``coding agents'', ``AI co-scient
Critique of the Agent Model: Distinguishing Automation from Genuine Agency in AI Systems
What is an agent? What constitutes agency? With the rise of Large Language Model (LLM) systems marketed as ``coding agents'', ``AI co-scient

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