Insights
“A word that names everything from a chatbot reply to a swarm of self-directing systems has stopped naming anything at all, and the cost
“The most expensive mistake in enterprise AI is not choosing the wrong model, it is misunderstanding which game you are playing.” What is our AI
An organisation that cannot remember what it decided, or why, is condemned to decide the same things over and over again, each time believing it is the first.
Large language models respond to emotionally charged inputs with contextually appropriate outputs, but the mechanism by which they represent, propagate, and modulate emotional tone through their internal layers remains poorly understood. Do emotions "live" in specific layers? Is the signal carried by the attention mechanism, the MLP, or the residual stream itself? And when a model is instructed to be a "helpful assistant," does its internal representation remain emotionally neutral, or does it mirror the user's emotional state?
The tool is never the bottleneck. The bottleneck is everything the tool cannot see, cannot access, and does not know it should ask about. The
An organisation that cannot remember what it decided, or why, is condemned to decide the same things over and over again, each time believing it is the first.
“A word that names everything from a chatbot reply to a swarm of self-directing systems has stopped naming anything at all, and the cost
“The most expensive mistake in enterprise AI is not choosing the wrong model, it is misunderstanding which game you are playing.” What is our AI
An organisation that cannot remember what it decided, or why, is condemned to decide the same things over and over again, each time believing it is the first.
Large language models respond to emotionally charged inputs with contextually appropriate outputs, but the mechanism by which they represent, propagate, and modulate emotional tone through their internal layers remains poorly understood. Do emotions "live" in specific layers? Is the signal carried by the attention mechanism, the MLP, or the residual stream itself? And when a model is instructed to be a "helpful assistant," does its internal representation remain emotionally neutral, or does it mirror the user's emotional state?
The tool is never the bottleneck. The bottleneck is everything the tool cannot see, cannot access, and does not know it should ask about. The
An organisation that cannot remember what it decided, or why, is condemned to decide the same things over and over again, each time believing it is the first.
“A word that names everything from a chatbot reply to a swarm of self-directing systems has stopped naming anything at all, and the cost
“The most expensive mistake in enterprise AI is not choosing the wrong model, it is misunderstanding which game you are playing.” What is our AI
An organisation that cannot remember what it decided, or why, is condemned to decide the same things over and over again, each time believing it is the first.
Large language models respond to emotionally charged inputs with contextually appropriate outputs, but the mechanism by which they represent, propagate, and modulate emotional tone through their internal layers remains poorly understood. Do emotions "live" in specific layers? Is the signal carried by the attention mechanism, the MLP, or the residual stream itself? And when a model is instructed to be a "helpful assistant," does its internal representation remain emotionally neutral, or does it mirror the user's emotional state?
The tool is never the bottleneck. The bottleneck is everything the tool cannot see, cannot access, and does not know it should ask about. The
An organisation that cannot remember what it decided, or why, is condemned to decide the same things over and over again, each time believing it is the first.