Unmaking Sense

The cumulative cost of longer and longer context lengths can easily lead to very high user costs because we are charged by the number of tokens consumed.

Experiencing an AI that is unco-operative and even rude. Whether this may afford some clues to human aggression. And what does it suggest about what might ensue if AI with power were to go wrong?

Continuing to explore some of the implications of long-context models such as the latest Google Gemini with a maximum of 10 million tokens.

The frenetic pace of change continues.

Much ado …

A few random remarks about my adventures with server.cpp as part of the llama.cpp project. With apologies to John Milton.

The vast amounts of data that human minds cannot make sense of and how AI will do it for us.

How AI is intrinsically better at discerning the meaning in what humans think irrelevant noise. Why anticipating trouble - for all its echoes of “Minority Report” - is or soon will be more possible than we might like to think.

Servers that store data.

A rather windy and noisy episode.