Capturing photons (optics), electrons (semis), and dollars (investing), TMT/AI/Semis/Optics/EPDA, 미국인/米國人/Amerikaner, Chicagoan, @uchicago a while ago, DMs open
In case anyone asks again, I only ever talk about tech fundamentals (physics/engineering/economics) here. Why? Unlike @RYANHINGSHING (serious Cuhk physics alum), I just knew a bit of physics from a small local (midwestern) liberal arts place and dabbled a bit in optics too…
I concur with @siliconcodesign - it is the same thing in semiconductors and optoelectronics. At any given point in time, there would be multiple candidate technologies on different parts of a tradeoff curve. For example, now it is dfb laser v vcsels v microled for light sources.
Yeah I do think Michael Burry is smart, but people put him on a pedestal due to ONE prediction about the 08 crisis.
People don't realize they are falling into the trap of "survivorship bias" and it causes them to give more weight to his opinions even when he is wrong half the time after the fact.
Don’t overthink it, @jukan05@RYANHINGSHING@zephyr_z9 - just directly look at the cross sections of the chip and system with a firm understanding of the fundamentals. It doesn’t matter what anyone said if you understand the fundamentals and thus tradeoffs.
today we admire the vertical hole etching step of NAND memory, where the pitch is 140 nm and hole diameter around 100 nm, etched at as cold as -60 C for higher aspect ratio, and they go as deep as 10 um penetrating thru multiple nitride and oxide layers, and you have few billions of them per NAND die and few trillions of them per 12 in wafer.
You can tell some brands of home appliances that their design engineers never repair their own stuff—like screws in weird places.
A five-minute repair can take an hour, and it’s not because of packaging or structure issues, as far as I could tell.
Good repo (thanks, @johnhodgeml), I will put together a comprehensive one for a dear friend who wants to think about his entire portfolio (financial portfolio + human capital) systematically and plan accordingly.
Can AI improve financial planning without inventing numbers?
Planner-lab keeps LLMs out of math: tested code calculates, a ledger traces results, and a critic blocks unsupported claims.
For CFPs and ML builders:
https://t.co/HnC6eLYnUP
The value add of anyone in an applied field is the crystallized experiences of actual practitioners. Say no to amateur AI hardware analysts and say yes to seasoned practitioners like @siliconcodesign, @PhotonCap, @damnang2, and so on.
My in-depth AI hardware content is written for curious people and NOT written for the 90% of hype and buzzword driven people looking for a quick stock pick.
The internet is already saturated with trendy semiconductor industry content, especially in the software domain, that does not serve the engineers working in those industries well.
After personally attending major flagship semiconductor conferences, I find there is a massive difference between the way engineers talk about technical topics vs how they are portrayed on the surface.
I write in-depth technical content specifically for the system architects, engineering leaders, and engineers actually working on these systems to gain more system context. We dive into conventional architectures and real time constraints such as jitter, thermals, packaging, and the PDN from first principles and how they impact the performance of high-speed and high-power systems.
If you’re not interested in this level of depth and want to stay on the surface, this Substack is not for you.
However, if you’re curious to learn more, I invite you to check out a few of my deep dives on my Substack “Silicon Co -Design”.
https://t.co/atebRcUn6C
In a sea of AI slop, I can only recommend serious books in German, Japanese, Korean, English, and traditional Chinese. I never chase “bottlenecks” (which seem to coincide with the expertise of the person/co) but try to understand the fundamentals. The two books are good primers.