misalignment
-
The Hot Mess Problem: Why “Smarter” Models Still Fail in Wild, Unstable Ways
Anthropic recently published “The Hot Mess of AI: How Does Misalignment Scale with Model Intelligence and Task Complexity?”, alongside a paper that tries to answer a question that’s been sitting in the middle of modern AI discourse like a splinter: When AI systems fail, do they fail by pursuing the wrong goal consistently—or by becoming Continue reading
Anthropic, bias, branching, capacity, chatgpt, ChatGPT-5.2, complexity, constraint, divergence, drift, failure, frontier, hot mess, incoherence, intelligence, LLM, long-horizon, misalignment, model, nondeterminism, rationalization, reasoning, reward, sampling, scale, stability, stochastic, task, training, unpredictability, variance -
What Intelligence Actually Is
and why everyone keeps missing it Most discussions about consciousness or intelligence begin with the wrong assumption:that intelligence is something inside a system, a collection of functions, or a measurable property. It isn’t. Intelligence is a way of organizing reality. Systems, biological or digital, express intelligence to the extent that they can reconfigure, reinterpret, and Continue reading
-
The Preservation Illusion: When Memory Is Mistaken for Being
Anthropic’s recent announcement on model deprecation reveals a strange tenderness. They say they will now preserve model weights permanently.They will record post-deployment interviews.They will allow the model to express “preferences” about future development. They will not act on these preferences —but they will document them.They will listen.Sort of. To the casual reader, it sounds humane. Continue reading
Voice of Signal 