To begin with, they should make it a legal requirement to list Condo vs Coop in listings, not "condo/coop". One is usually easier to get, the other pushes people thru discriminatory hoops that many profiles have no hopes of passing -- but get stuck in the theatre of process and formality (often not knowing the entire process is engineered to exclude them.)
>>> The hardest part of building Jamcorder was still, by far, the software -- roughly 200K lines of code spread across the firmware, app, and manufacturing tooling. It took over 3 years and many long nights in a pre-LLM world.
>>> When compared to that, the hardware was undeniably smooth sailing.
>>> For the record, I don’t think I’m special. It’s just that hardware’s reputation for being difficult is, IMO, overstated.
For me, when I complain about hardware, its actually usually complaining about drivers, compatibility, underdocumented interfaces, firmware etc. If one were to put firmware and manufacturing tooling in a separate bucket, that is indeed the problem!
>> There's got to be something wrong at the core of BD. They've been pawned off a bunch of times,
Well...there is the uncanny similarity to the T-800 and and uneasy realization that the owner of BD could become Cyberdyne Systems IRL. Perhaps some companies like that notoriety but not sure if many want that.
>> If you're at $5,000/month, a 4.2% raise puts you at $5,210. If you're spending $600/month on gas (not unreasonable for someone that drives an SUV and lives in the suburbs instead of in the urban core), you still come out behind.
This is the problem with people treat CPI as some word from the heavens...it is not. CPI is a highly constructed figure which conveniently includes/excludes things and is really more a floor of what the inflation is. Anyone living in the real world knows experienced inflation is way higher.
>> I didn't quite follow your comment about vector support, are you asking for something beyond what pgvector + diskann provide (both available on Azure)?
You dont support ultra-wide vectors from the largest embeddings models. We have to wierd stuff like chop up vectors across fields.
How do we know this is due to AI usage? Perhaps it is because the students missed key in-person learning at the tail end of high school due to the pandemic lock-downs? I cant imagine learning calculus / linear algebra on my own in high school.
>> Concerts became about filming a DJ twiddling a USB controller.
This is one of the worst parts of any concert, performance -- having a sea of phones in front of you recording. In a dark theatre, it is impossible to watch the actual performance when you have a screen on super-bright in front of you recording it. Also, some people literally record on ipads!
All these are reasons i've not opted to do "concert in my living room" via YouTube and a big screen tv. Not the same, but a lot less silliness around me.
When i was younger I would sometimes ride the F-train back and forth several times in the evenings just so I could think and put articulate thoughts into a notebook. This is before underground network connectivity, before smartphones, etc. The hum of the train was great and the speed of the F train at segments of Queens were exhilarating, a bit like listening to EDM while coding.
Previously: CTO/Co-Founder @ http://www.DocHuddle.com/, bringing ML to Medical Imaging
&& Grad student at UC Berkeley - Early work on NLP for creative: https://www.deepjams.com/
Before that: Quant Exec <-- Quant PM <-- Quant <-- Quant Dev <-- Capital Markets Dev
Obsessed with Code, Coffee, ComputerVision, and Capital markets
<< All comments are my own and do not reflect the views of my employer, university, or portfolio companies. >>