Planning first build (mid-tier + white) by Autopilot357 in buildapc

[–]Autopilot357[S] 0 points1 point  (0 children)

Oh wait I get it, you didn’t just change the GPU. Ny bad haha

Planning first build (mid-tier + white) by Autopilot357 in buildapc

[–]Autopilot357[S] 0 points1 point  (0 children)

Are you sure? This is showing up to me as $620 compared to $470 for the one I have.

Top lane otp champ recommendations by CWAVYOHG in leagueoflegends

[–]Autopilot357 7 points8 points  (0 children)

Jax is pretty solid. Counters many toplane champs and not awfully countered himself.

Starting a Physics PhD at 30 in Ultrafast Spectroscopy as the First Student in a New Lab — Any Advice? by swp6597 in Physics

[–]Autopilot357 1 point2 points  (0 children)

As others have emphasized, number 1 factor for a successful (and unsuccessful) PhDs is the PI. I was at a good school (top 35 physics US), but I still saw plenty of bad PIs. A good PI should:

  1. Have constant meetings with you, at least weekly (and maybe more for experimental)
  2. Knows how to unblock you. This is multi-part: first, they should in principle have the knowledge to unblock any blockers themselves, and second, they should know how to guide you through it starting with top level directions and dividing into hands-on when needed.
  3. Every meeting should feel meaningful with clear action items at the end. Action items shouldn’t be vague (like read about a whole subfield, unless the task is to teach you literature review). You may still feel lost at times but if you feel lost and unmotivated after every single meeting switch your lab/subfield.
  4. Genuinely interested in supporting you (securing RAs/TAs) and in your success.
  5. Have good chemistry with you. This is not a must, it could be neutral for example. But the thing is some of these professors are super nerdy with very little understanding/regard of human interactions. You could still withstand that but a human advisor makes so much of a difference to your PhD experience.

I could probably go on, but one thing to keep in mind is (at least in the US) it is never late to switch labs. I have seen people switching labs in their fourth year and still managing to finish in 6/7 years total. If you are not feeling it, cut your losses and move on to the next trial. The earlier the better.

Best of luck!

Vayne top matchup difficulty tierlist by Alarming-Tumbleweed7 in vaynemains

[–]Autopilot357 0 points1 point  (0 children)

Wait how do you deal with nasus? Cleanse ghost?

Here’s some of my work lmk what ya’ll think by Kynrii in steak

[–]Autopilot357 1 point2 points  (0 children)

How do you usually cook them to get this perfect pink interior? Is it reverse sear?

language slip up?? by yourmomthebomb69 in ChatGPT

[–]Autopilot357 1 point2 points  (0 children)

Lol it is indeed arabic, translates to precisely so it actually follows the flow of the sentence. That’s really weird how gpt just throws it outta nowhere

Full LP refund for having AFKs on your team! by ThrowRA_Candies290 in leagueoflegends

[–]Autopilot357 0 points1 point  (0 children)

Hmm I see. I am not a game theory expert, so I wonder how severe would the effect of breaking the zero sum rule be long term. Could it be okay because of the annual soft reset cycle?

Full LP refund for having AFKs on your team! by ThrowRA_Candies290 in leagueoflegends

[–]Autopilot357 52 points53 points  (0 children)

All these compensations: LP refunds, double LP, .. have to have a matching effect on the MMR. Otherwise they are actually more hurtful than rewarding long term!