idiom laboratory -- https://xitter.cf/t.co/Va6kGrIT5M ⊃ https://xitter.cf/t.co/PtXwFBUisr

Joined August 2021
a reindustrialization of the US homeland with the prosperity and sense of a national project that would bring along with an expansion of the national security apparatuses to train a new officer class, one that would include all kinds of overseas appointments and adventures, along with letters of marque and other private adjuncts to the state
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center study retweeted
Replying to @centerstudy_
he who mans the measure, holds the center
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center study retweeted
Replying to @centerstudy_
Solving the science of asset selection in a future (or indeed the present) where every company is a "Context Acquisition Company" is the real frontier. I love that everyone is getting around to the idea that the secrets (scarce context) currently illegible to/hidden from computers (human or machine) are everything. Now the next leap for people to make is that the science of sourcing, selecting, and monopolizing that context (really THE ASSETS that produce it) is everything. If AI progress is a function of compute and data (most algorithmic progress is really just data progress; h/t @BerenMillidge, @_kevinlu, @mentalgeorge, @GarrettLord, etc.), then every company is going to have a context desk just like they will (or already do) have a compute desk. The difference is, CONTEXT IS NOT FUNGIBLE. Most context (both that exists right now and that will be created in the future) will be completely commodity beta. Winning will be about getting to and instrumenting the right asset (context production factory) first. And yes, there are right and wrong answers. To do this kind of asset selection well requires an extremely scarce meta-capability: the ability to coordinate the right kind of access and the right kind capital at the right time. These assets (and the secrets within them) are structurally difficult to access, evaluate and instrument. They are not floating around in banked processes, to be frictionlessly purchased on listed exchanges, or willingly coming through Mercor or Handshake's expert portal. (Yes, a context production asset can be (very often is) a single person or collection of people.) When @WillManidis talks about a Deal Guy Yuga, what he means is that there are people who have deeply internalized the fact that at the limit, in a world of infinite intelligence, access to/monopoly on the right permissioned data streams is all that matters. Getting yourself to a position (meta-access, meta-capital) where you have the ROFR on those permissioned data streams, means being a generational Deal Guy. This is a very different and specific kind of "Deal Guy" though. Knowing which asset(s) are going to give you the right context to create, compound, and commercialize the best vertical world model now and into the future is the new form of security analysis. But the triple-exceptional combination of domain expertise, meta-access, and technical ability that’s required to execute this new security analysis effectively is scarcer than the talent at quant firms, YC combined, and dare I say, the labs, combined. Palantir understood this and it's why they focused on getting root-access (or something close) to the "highest-status" institutions, and the data streams they produce, first. If you have the talent that can get access to and create value within those institutions, everything else should be a forgone conclusion. If you want examples of the teams that (I believe) actually understand this new science of asset selection and long term value capture in a world of infinite intelligence, study Long Lake and @formationbio. They know and have known that it's all about being able to get the right asset (context), in the right market, with the right team (machine and human) first. These two companies are very far ahead on the scientific frontier of context acquisition. GC backed Long Lake last year. Do you think it’s a coincidence that Long Lake chose to work with General Catalyst? My bet is that Long Lake knew they wanted to acquire Amex GBT before they partnered with GC, and that they partnered with GC because Ken Chenault (the ex-CEO of Amex) is General Catalyst’s Chairman. That gave them the right access at the right time to a very valuable context asset (Amex Global Business Travel) A superhuman vertical-specific Elon operating every company means market leading monopolies in every single slice of the unstructured economy. The thing is you have to build this superhuman Elon while flying the plane. You can't build this superhuman Elon without the very specific context that operating specific assets in the real world gives you. In fact, there's only one stream of context that was able to produce human Elon! Knowing which context stream is likely to do the same a priori is so extremely difficult, but probably possible. I’ll let you intuit why Amex GBT is both most likely to be the market leading monopoly if it were operated by the superhuman Elon of business travel and why it’s also the most likely to produce the context to build that superhuman Elon. The labs of course are very large acquirers of context at present and I think they will continue to play and improve their capabilities here. Through their deplyoment companies, they have already chosen the PE funds that they deem to be the best Context Acquisition Funds. Through in-house deployment focus on Life Sciences they have chosen the vertical they see as containing the most valuable context producing assets. They will acquire very seemingly unrelated companies and will acquihire very interesting people just to get tokens, they will create a Context Acquisition Fund of Funds. But it's not a foregone conclusion that they become the best performing context acquisition companies. Or that they even view it this way. And that presents an opportunity for anyone that does.
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the technoscene: the global sensing, measuring, computing, mapping and simulating machinery
measurement monopolies
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anything we would need the state for, anything the state would do, can ultimately be reduced to intelligence
data labeling center
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data labeling center
something as simple but increasingly difficult as correct labeling is likely to become the primary human vocation
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something as simple but increasingly difficult as correct labeling is likely to become the primary human vocation
measurement monasteries
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measurement monasteries
There is only one thing left for humans to do: position themselves at the end of particular processes of computation and determine whether, at the particular scale at which the human is being presently constituted, there is a fit or not. This is not only an irreducible and indispensable position that only humans will ever be able to take up, but it will be an enormously demanding one involving high levels of learning and training, an ability to improvise and take responsibility on the spot, and to convey one’s decisions back to the computational order (the center) in such a way that a new modes of fittingness will result from the next round.
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measurement monopolies
The most important form of security in any order is data security, or intelligence. The integrity with which data is identified, collected, labelled, curated, employed, distributed and organized is paramount. Nothing we do can mean anything outside of that.
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The most important form of security in any order is data security, or intelligence. The integrity with which data is identified, collected, labelled, curated, employed, distributed and organized is paramount. Nothing we do can mean anything outside of that.
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center study retweeted
for those with ears to hear
There is only one thing left for humans to do: position themselves at the end of particular processes of computation and determine whether, at the particular scale at which the human is being presently constituted, there is a fit or not. This is not only an irreducible and indispensable position that only humans will ever be able to take up, but it will be an enormously demanding one involving high levels of learning and training, an ability to improvise and take responsibility on the spot, and to convey one’s decisions back to the computational order (the center) in such a way that a new modes of fittingness will result from the next round.
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try to make the smallest mark that would call into being a whole new Department of Weights and Measures
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mimesis is the way we measure each other
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Continuing to pursue the Holy Grail, or the white whale, whatever the case may be: a complete, self-generating, perfomative discourse on language drawn entirely out of the originary hypothesis and originary grammar. Maybe it’s the philosopher’s stone, or the quintessence. Language, or sampling, as the ongoing measure of deferral is the path forward here—we are always measuring our respective measures of deferral, in the process building new infrastructures of deferral.
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idiomclining is the interface between the human and computation
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What you want to do, then, is make your idiom both more idiomatic and more transferable—you want to be able to speak with the person you are speaking with so that you are speaking only to them, on the very topic that drew you into that exchange, in such a way as to make that topic the center of a scene that places only the two of you on it, while at the same time in such a way that either you or your interlocutor might speak with anyone and everyone about that newly created “topic” so as to generate new idioms in each new exchange.
If we want to identify the “human” it’s going to be in the navigation of these rapidly shifting shoals. It is this navigation that creates the idiom, which is characterized by its affordance of these oscillatory relations.
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If we want to identify the “human” it’s going to be in the navigation of these rapidly shifting shoals. It is this navigation that creates the idiom, which is characterized by its affordance of these oscillatory relations.
you issue an improvised sign as if it is the most strictly enforced ritualistic gesture possible; you issue the endlessly and exactly iterated gesture as if it has just been improvised; you play on the scene as if all the buffers might collapse at any time and all the rehearsal finds its use in the oscillation on the dangerous scene; and you enter the dangerous scene by distinguishing on the spot between everything that can still be taken for granted (maximizing the tacit) thereby rendering the scene potentially legible while singling out the swiftest path to verticality
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you issue an improvised sign as if it is the most strictly enforced ritualistic gesture possible; you issue the endlessly and exactly iterated gesture as if it has just been improvised; you play on the scene as if all the buffers might collapse at any time and all the rehearsal finds its use in the oscillation on the dangerous scene; and you enter the dangerous scene by distinguishing on the spot between everything that can still be taken for granted (maximizing the tacit) thereby rendering the scene potentially legible while singling out the swiftest path to verticality
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There is only one thing left for humans to do: position themselves at the end of particular processes of computation and determine whether, at the particular scale at which the human is being presently constituted, there is a fit or not. This is not only an irreducible and indispensable position that only humans will ever be able to take up, but it will be an enormously demanding one involving high levels of learning and training, an ability to improvise and take responsibility on the spot, and to convey one’s decisions back to the computational order (the center) in such a way that a new modes of fittingness will result from the next round.
any measure is an idiom, a naming, a labeling, a designation that depends on those who can look at that thing and say 'this is the same,' thereby iterating the fundamental gesture of language
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any measure is an idiom, a naming, a labeling, a designation that depends on those who can look at that thing and say 'this is the same,' thereby iterating the fundamental gesture of language
everything can be reduced to what will become the extremely complex and generative activity of determining that this is the same
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everything can be reduced to what will become the extremely complex and generative activity of determining that this is the same
thinking of yourself as a walking bundle of measurement s and stacks of measures in various relations of fit and misfit with the centralized data deposits
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