Eva Cicinyte
speaker
452 appearances
1 recordings
1 series
first heard Apr 2026
last heard 13 Apr
Eva Cicinyte’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Apr 2026 with 1.
Appearances
And so we started with the fact that how do we create the base of the house that we're going to eventually build with the architect to ensure that it's strong enough to stay so we keep on building on top of it.
And so that's why we build a computational cloud with machine learning capabilities so we can essentially build as much as we can and have that base kind of withstand all of our changes, pivoting, adaptability on
anything that we want Nomi to be and more.
And that's what it was.
It obviously still stands today under our holding company where we built Nomi.
And that's why we were able to pivot so quickly with Nomi when ChaiGBT came out because we're generative AI.
We leverage so many different large language models is because we already had that base.
So we were just really just building on top really quickly and maximizing all these tools that were just coming out and powering them in onto our system.
The word vibe code is just so funny because I don't even think it existed until like this year, especially when lovable before lovable came out, which was such a genius idea because now vibe coding obviously is not for hard coding.
You're not, you're not going to be able to build a product, at least not today, but
What you can do with that now is to really build a prototype that would have taken you maybe two, three months to do that in like 24 hours, just very quickly.
Throw that out in front of your customers that are willing to test the product or you're kind of the product category people that are able to really just understand what's the market fit here.
Is this going to stick?
Is this not going to stick?
And do that extremely quickly without really providing and injecting too much capital into that.
And so, yeah, it's been...
transformational for us because this entire industry is like a tsunami it's going so fast and the reality is not everything sticks and so that really allowed us to move quickly and just throw things into the trash if they didn't work within 24 hours versus two months
Yeah.
I mean, search engines in general retrieve information for you based on referencing the links.
And then large language models really provide you information based on the data that they've been trained on.
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