micw

A strategy that could work very well is to let the AI

- explore the features and behaviour of the existing code

- first write lots of E2E tests for literally everything

- human-in-the-loop to review the feature list and test cases to see if some obvious or important stuff is missing

- then let implement it and verify by tests

I used this in (way) smaller scenarios and got really good examples with minimal human interaction.

Try GLM for such things. Better than DS Flash in my observations but less restricted than GPT

Thing is that you need incredible large masses in incredible heights.

Example: Lifting a 10-metric-ton stone by 36 meters stores just about 1 kilowatt-hour (kWh) of energy. This is roughly equivalent to the capacity of a small power station used for a camping trip.

> we'll all be around to see solar panels that cost 1/10th of what they do now

I doubt that. Currently the cells itself makes only <50% (maybe <30% meanwhile) of a PV module. So the limit to the bottom is by the glass and frame and cable, not by the cells.

But $/watts can significantly go down with more efficiency.

It makes no sense to make the devices so thin and then having a fat camera. This requires a cover to equalize the size with the camera for haptic reasons. Better use this space for other stuff like larger batteries and make the device the same thickness everywhere.

I use TensorX (EU hosted) and get 330TPS

It's LLMs, not LLM's ;-)

Also not available in their business offer. So I have now a $20 business plus a $200 "personal" plan in my account.

Yes, it should. Reduces a lot of noise.

The idea looks interesting. But when I think of "make incident recovery easy", the very last thing I want is a fork that differs from the standard that everyone else is running. I would have a better feeling if that would be an extension, not a fork.

I would even think that "smart" and "lazy" has a strong correlation ;-)

If you give a smart one a task, he will look for a way to do it with lowest effort. Probably most would do it but the smart ones will find way more the shortcuts, automations and exploits.

Edit: also smart people will more often ask "why" if a task makes no sense to them.

So is this a regression or a bug in systemd triggered by this change?