@nateliason Agreed.
Though, the price point isn't sustainable with today's tech. They have to pay a human to control everything in the background.
I'm excited for several years from now when the tech is more autonomous.
https://t.co/91sIhIRoiL
@GBarsawme@skarpa23@UpSkillYourLife If youโre curious, I can prepare a small presentation around what you shared and similar ancient Hindu practices that have been around for centuries.
Itโs awesome to see science rigorously test these methods. Iโm sure there is more to study and uncover from these practices.
100% uptime for a decade is insane.
Not enough people talk about this. No technology outside of crypto can claim that uptime.
Microsoft, Amazon, Google...their cloud/data center cannot compete with this.
Blockchains are ideal to power a global financial system.
ethereum has been online ten years straight with zero pauses and zero maintenance windows.
in that time:
- facebook went down for 14 hours
- aws kinesis froze for 17
- cloudflare dropped 19 datacenters
- alt L1sโฆwell, you know.
every centralised giant blinks, they rely on on-call humans and scheduled downtime.
but ethereum never stops, not through forks, crashes, bubbles, lawsuits, hacks, wars, and every kind of drama the internet can throw at it.
and itโs not thanks to a CEO or a hotline.
itโs not because someone saved it.
itโs because we all did.
devs, stakers, researchers, users,
millions of us, scattered across the world, choosing to show up, block after block, year after year.
while banks fail, clouds go dark and servers get patched, ethereum keeps going.
we keep going.
ten years online.
forever to go.
@LimitlessFT@xai@Meta@Kimi_Moonshot@joshkale@cryptopunk7213 Can't agree with this take. The model is just part of the story and will be commoditized over time as you're seeing. OpenAI excels at product.
It has like 80% market share in the chatbot space. They still move faster and better on product than all other AI teams out there.
@asmah2107 On frontend, some levers:
batch updates, stop when app not in use, different interval, decrease GPS accuracy, fused location on android, predictive path with backdated corrections
would need to understand root cause and UX implications prior to making any of these changes.
@asmah2107 1. BE application layer receives the requests is horizontally scalable (see 12 factor app)
2. In-memory DB to store and query the X recent updates
3. To store historical data, a background process can be triggered. Use a DB like Dynamo with an index on timestamp+vehicle.