US /ɪm'bedɪŋ/
・UK /ɪm'bedɪŋ/
The challenge ahead will be to future-fit our financial, fiscal and economic policy frameworks by embedding appropriate responses to climate risks.
economic policy frameworks by embedding appropriate responses to climate risks.
We know politicians come and go all the time, so what I think is the important thing is that embedding this within the city development plan as a policy makes it non-negotiable.
We know politicians come and go all the time, so what I think is the important thing is that embedding this within the City Development Plan as a policy makes it non-negotiable.
Which is the way that authoritarians really succeed in Modern politics raise they do it subtly so subtly that it won't generate resistance From the press from the courts from the opposition parties that they don't even know where to start or from the public And there is there has been significant mass public resistance by one metric More protest events individual protest events than there were during Trump's first term, right at this point in time Which wherever when everyone was talking about the like hashtag resistance and stuff like that so They by being so brazen in their law-breaking rather than trying to disguise what they're doing through You know Clever PR campaigns embedding it in complex bureaucratic rulings that are difficult for anybody to understand No, they just like yell this stuff and say what they want to do, right?
So they— by— by being so brazen in their lawbreaking, rather than trying to disguise what they're doing through, uh, you know, uh, clever PR campaigns, embedding it in complex bureaucratic rulings that are difficult for anybody to understand, no, they just, like, yell this stuff and say what they want to do, right?
So what I think is the important thing is that embedding this within the city development plan as a policy makes it non-negotiable.
So what I think is the important thing is that embedding this within the City Development Plan as a policy makes it non-negotiable.
And I think on a day-to-day basis, what we're seeing with a lot of the Fintech disruptors, again, that's a common trend is they're embedding the payment experience directly into how you do commerce on a day-to-day basis.
And many of the models that are doing a great job of, again, elegantly embedding the financial product into the experience that you're doing so you don't actually even have to think about making the payment or executing on the financial product.
The learned geometry of this shared vector space, known as a latent or embedding space, has some really interesting properties.
If I take two pictures of myself, one not wearing a hat and one wearing a hat, and pass both of these into our CLIP image model, we get two vectors in our embedding space.
The objective is to bring the embedding vectors from matching pairs closer, while pushing embeddings of different images far apart.
The objective is to bring the embedding vectors from matching pairs closer while pushing embeddings of different images far apart.
For founders, this might mean investing early and proprietary evals that are expensive or time-consuming to replicate, embedding your workflows deeply into specific user routines to increase switching costs, or identifying integrations with platforms or datasets competitors can't easily access.
For founders, this might mean investing early in proprietary evals that are expensive or time-consuming to replicate, embedding your workflows deeply into specific user routines to increase switching costs, or identifying integrations with platforms or datasets competitors can't easily access.
And so in the deterministic flow, let's maybe add some, or just like scripting in classical scripting land, let's add some more calls to OpenAI, or you have an embedding model, you want to do somatic similarity or something like that.
Or if you have an embedding model, you wanna do, uh, semantic similarity or something like that.
To do this, Elon Musk and members of his so-called Department of Government Efficiency, or DOGE, have been embedding themselves across the United States government.
To do this, Elon Musk and members of his so-called Department of Government Efficiency, or DOGE, have been embedding themselves across the United States government.