LLMs 'turn on' when given a question and essentially 'die' immediately after answering a question.

What kind of work is going on with designing an LLM type AI that is continuously 'conscious' and giving it will? The 'claws' seem to be running all the time, but I assume they need rebooting occasionally to clear context.

We also live in a time where the human population, where it is most concentrated, is declining rather than growing, so far without too disastrous consequences.

Greening of the earth has been happening since the 1980s- i.e. about a .3% coverage increase per year in recent decades.

Places that were miserable and poor, like China, have been lifted to prosperity and leading out in renewable tech.

There is much to celebrate and after the recent passing of Paul Ehrlich, we should pause and consider just how wrong pretty much every prediction he made was.

"PersonaPlex accepts a text system prompt that steers conversational behavior. Without focused instructions, the model rambles — it’s trained on open-ended conversation and will happily discuss cooking when asked about shipping.

Several presets are available via CLI (--list-prompts) or API, including a general assistant (default), customer service agent, and teacher. Custom prompts can also be pre-tokenized and passed directly.

The difference is dramatic. Same input — “Can you guarantee that the replacement part will be shipped tomorrow?”:

No prompt: “So, what type of cooking do you like — outdoor grilling? I can’t say for sure, but if you’re ordering today…”

With prompt: “I can’t promise a specific time, but we’ll do our best to get it out tomorrow. It’s one of the top priorities, so yes, we’ll try to get it done as soon as possible and ship it first thing in the morning.”"