& the counter-argument is those SAAS apps being killed by A.I are growing revenue 20%+ YOY
people who write this BS - one never don't understand SAAS fundamentals, they only see what's on the screen and forget the complexity that lives on the backend - forget the costs of running such a SAAS
before it was low-code will kill SAAS, then Visual UI builders, now its A.I
just like it was before that crypto will kill Trad-Fi
people who say these things - have tied their identity into it so they whole-heartedly believe the bullshit they say even though reality doesn't match
to anyone curious read the 10k (Annual Report) of any public SAAS - Salesforce | Workday etc - people should admire these companies for the machines / ecosystem they built - and also learn the good & mistakes to avoid i.e the bad
those annual reports tell you how the revenue generation machine works, how much revenue is expected 2+ / 3+ years from now - their weaknesses | headwinds and also tailwinds - how those companies grow and continue to grow etc
This ColumnStore is very simple and just do table scans sequentially on every query. It doesn't support indexes and unique constraints. It is almost an append-only serialization file format, but with some columnar concepts.
Can tiger data be used just as a simple column store?
All I want is effectively what clickhouse does in PG. I have a single table that I need fast counts on and clickhouse can do the counts fast but I have to go through the entire sync/replication to do that.
A quick scan of TimeSeries always seemed like it was really only best setup for that and to use it another way would be a bit of a struggle.
One option is TiDB. It has support for columnar data alongside row based data. However, it is MySQL compatible, but not based on MySQL code so not quite what you asked for.
Anyone remember the quote by Russ Hanneman on SV [0] - "No Revenue, means you're potential pure play"
We know datacenters in space - sound plausible enough - yet not practical - hence they're potential pure play - also you can have massive solar in space - unlimited space -- etc -- all true -- but how economical / practical is it ?
yet we know on earth - to power the whole earth with solar - only a fraction of the land is needed. Hell it's even in the Tesla Master Plan v3 docs [1] - current limitation being storage & distribution
so all you - are now witnessing to the greatest scam ever pulled on earth.
The entire thing is a play. Musk should be a science fiction writer. He has that uncanny ability to create a statement that compresses 100+ years of industrial evolution into a few sentences.
>Factories on the Moon can take advantage of lunar resources to manufacture satellites and deploy them further into space.
I love how he goes from "the raw material is there" to "we will build high-tech supply chain to process them", just like that, magically.
> It is generally believed that the next generation of computers will involve
massively parallel architectures.
To this day - we have only taken advantage of parallel architectures in GPUs - a lot of software still runs on single CPU threads. most programming languages- are made optimized for single threads - yeah we might have threads, virtual threads, fibers etc - but how many people are using those on a daily basis?
I was under the impression that parallel and concurrent code was the dominant paradigm for programming tasks currently going in most of the semi-mainstream domains. I am certainly willing to concede that I could just be in a bubble that thinks about and designs for concurrency and parallelism as a first class concern, but it doesn’t seem that way.
I mean one of the large features/touted benefits for Rust is the single mutable XOR multiple immutable semantics explicitly to assist with problems in parallel/concurrent code, all of the OTP languages are built on top of a ridiculously parallel and distributed first ‘VM’. It strikes me as peculiar that these types of languages and ecosystems would be so, apparently, popular if the primary use case of ‘safe’/resilient parallel/concurrent code was not a large concern.
before A.I - video calls replaced in-person - coz you could tell emotions from faces
now with A.I - we're going back to an in-person world
you also look at entertainment - what's getting scarce & more valuable - live entertainment e.g Netflix with the skyscraper, live sports, concerts etc - due to live events being more authentic
you also see even Hollywood stars buying into sports team & sports team valuation going up
us humans - we only like the artificial - to a limited extent - however the A.I people lack empathy & don't know shit about how humans work
To be, not to pretend to be. We need more physical interaction, which is more consecuential than virtual interaction, when possible. There are ample opportunities
places with older people & people with families i.e dads | mothers etc are a pleasure to work with
less bullshit, less time wasting, less chasing non productive hype
however the industry has been decimated lately, so now those places are rare
however I have discovered -- low-key cities tend to have places staffed with experienced colleagues
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