Because I assume most people want to take a screenshot because they want to capture something they are seeing in the app, most people probably are even annoyed to have the system indicators visible there.

However I wanted to try to get it under control myself ( cutting out almost all carbs, liver friendly diet, lot's of exercise ), she didn't think it would make a difference but she humored me and gave me a 3 month period to try and get it back to normal.

This year ( about 2 years since I started and about 1 3/4 years since my values were good ) she told me that she now has to completely remove prediabetis from my diagnosis because she can no longer justify it based on all the tests we did since then.

It comes in a full sized shipping container and costs around $10M but money has stopped being connected to reality now anyway with all the AI company valuations being floated around, so who cares about a few million here or there.

Finally I have a word I can use for this

  - Refactoring a 13 year old in-house vacation rental booking system ( python/turbogears )
  - Backend development for our VR fitness game ( flask/python )
  - Unity development on our VR fitness game ( C#/Unity )
  - VR game development experiments ( Godot/GDScript )
  - Standalone SLAM localization service ( C++ )
  - Audio analysis ( python/pytorch )
  - Virtual display with Viture display glasses ( C )
  - Reverse engineering a library I am using for another project ( ghidra -> C - no MCP yet, that's something I am looking forward to )
  - Public facing website rebuilding for the booking system above ( PHP/JS )
  - Generative 3D environments for our VR fitness game ( python )
  - Wireless camera/IMU based tracker for the SLAM system ( C )

However with the latest models Fable, Kimi K3, 5.6, it's getting to a point where I sometimes forget what model I am on without noticing a difference. And once I realize it because something may not be exactly like I expected it I won't switch for that work either because I don't want to invalidate the cache.

For the next work I will do there is maybe a 50/50 chance to remember to switch the model before I start.

That's not what I would call stickiness towards a certain provider.

That's where the sign in request is coming from

This leads me to believe that FSD is not yet solved to the level we thought and training to handle a certain new thing correcty can degrade handling of other situations

The only thing that is a bit weird to me are the headlights, otherwise I quite like the look.

So let's say you have a super dull pdf ( or even a scan ) that has the same line over and over again, could this get the model into one of those loops that just keep spewing nonsense.

And thinking that further, could someone prompt inject a model with a handwritten note that only gets "activated" once it's in the context?

What I noticed for myself is that saying no to something is becoming harder by the day because, why wouldn't you try something if it's so cheap to do.

That makes having the strength to say no almost a quality in and of itself.

That is true both for external pressure and internal pressure.

https://www.tomshardware.com/pc-components/gpus/datacenter-g...

Others say that moderate load means a lifespan of ~5 years

Not sure what that means but I would assume that a datacenter will start replacing a node once the error rate hits a certain threshold without really investigating why it failed, so the practical lifespan may be shorter than 5 years even if it would technically still be usable enough

What I am wondering though is how long can you run such a system at basically full load without interruption before it starts to just physically degrade.

If I have a H100 and I let it run for 4 years at full throttle does it still have the same theoretical value as it had at the start or are the chips just burning out.

I think I remember that back when the cards used for crypto mining were sold en masse on ebay the advice was to stay away from them because they are more likely to fail?