@BIG-Jared

I started in the industry in 2000 with zero experience or knowledge.  My first job was microscope inspection.  My trainer was this always stoned Russian guy. I asked him what I'm supposed to look for. He said, "Is obvious, you will see" and walked away.  I did inspect for about 6 months and that was the only training I ever got at the time. Shockingly enough, I never found a single defect.  I still vividly remember this.

@rbergen

"...but they wanted to do the easy thing, I guess", the lead-up and the statement itself completely dead-pan. I nearly choked on my soda. I just love this style of light-heartedness in videos that actually have proper information to convey.

@jasontang6725

Gotta appreciate how the TSMC logo is a wafer with an imperfect yield.

@Chris.Davies

My very first job in 1983 was with Kenwood test and measuring equipment.
It was then I learned that a civilisation's technology level is defined by its test and measuring equipment.

@JacobButtnugget

I love your little “casual” touches and jokes you have been adding. Really makes these technical topics human ❤

@elijah_9392

I appreciate the breadth and depth of the topics you cover within the semiconductor field.

Good video!

@Grak70

Great work. And you’re in luck: EUV is already used in defect metrology. In fact it was one of the first deployments of EUV, because although the source power years ago wasn’t good enough to expose photoresist, it was plenty good enough (and critical) for inspecting mask blanks for buried MoSi defects.

@pauldmeyerable

I began my engineering career at KLA in 1983 in the reticle inspection division! I have so many great memories of my time there. By 1995, I became a KLA customer while at Mitsubishi and then Panasonic.

@NAND512

these vids are part of why i have thought more about entering semiconductor R&D

@jairo8746

I would blame Inspection falling off to fatigue... I was to inspect Petri dishes to count Plasmodium falciparum's thropozoites visually/manually using a microscope (at the time we didn't have the machine) and by the 4th dish i wanted to smash them all to the wall, even if it costed me my thesis. 1 hour of doing that shit is enough to tire anyone... hire more people and separate shifts with rest in-between would had probably increased accuracy.

@JohnVance

Man your vids are always so good. There's also surface/substrate mechanical testing, i.e. nanoindentation that gets done in a lot of cases. I've done a lot of (non-academic) work with automated fab equipment to this end. Picking up lots of pieces of shattered wafers when the handler decides to play disc golf with 'em! And I work for a company now with a division that does mask repair, always in high demand!

@jrherita

0:52  This chart alone is fascinating for so many reasons.  It explains why the memory jumpers for late 70s-mid 80s computing was so relatively large,  explains why/how the "wars" around Japanese vs American DRAM would play out, and (indirectly) why 80s chips had much larger performance variations between bins than later chips.

@MarcelvanPinxteren

At ASML we are told that our YieldStar machine is competing with KLA. I learned something new today.

@dixiesmaster

Delicious sarcasm. One day we will develop the technology to eliminate the defects of over sugarfication and watering down in the lemonade stand industry, thus making it more desirable as a side business.

@Digital_Apparition

Me about to die after double shift, asianometry uploads, me plays

@MrDobiedoobie

This should be a required video at my company

@Magefsx

There's at least a few front end tools missing from this discussion:
NFI quadra, which uses atom force microscopy to view wafer features. 
Asml Yieldstar, used to measure scanner layer alignment, focus and more. Clue's in the name. Popular system with many machines in the field.
HMI escan- multi ebeam inspection tool.
All would be interesting for you to look into, they work rather differently to systems described here.

@Nagria2112

i dont understand how "humans bad, computer vision good" took ahold of this industry. MANY industries still rely on human searching for bad products because computer Vision is simply not good AND not fast enough.
i work in Pharma - injection phials. as you can imagine it would be very bad if there was dust, glass splinters or other material inside. how do we check that? highly trained and tested inspection personal.
there simply is no machine on the whole market that has such a low error rate and speed and you cant get that wrong. 
maybe the difference is that one is a liquid and one is a flat surface but i didnt expect the stark difference.
great Videos, Love your channel - greetings from austria <3

@richvandervecken3954

Brought back memories of the nearly ten years that I worked for Intel. Thanks for sharing this content!

@punditgi

Fascinating video and informative as always. 🎉😊