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The point is that the AI inferencing is equivalent to a person reading half a dozen separate papers, comprhending the basic concepts of each, relating them together into a mental model of the topic, and then writing an essay that summarizes the basic points. The person isn't plagiarizing anything here, but engaging in research, understanding, and synthesis of various sources of information.

The person absolutely does have the advantage of having empirical awareness and the ability to test their conclusions against external reality. But lots of people do engage in "research" and build mental models of various topics with little or no empirical context, and rely mainly on digesting calcified knowledge from other people.


I'm afraid, the essence is that is not. Re-sequencing content is not the same as synthesis and therefore not the same as a person processing information and communicating their own conception of this. There's a vital difference.

(We can even observe this in the resulting text: we immediately grasp the level of competence of the author, just by the way they take their path trough and at the matter. With LLMs, well, there's this even temperature, ready-made feeling, regulated by probability thresholds and RLHF sanctioned phrasing, also known as "slop" – even rhythmic intensifications, like "not this, not that, but…", which is actually a figure for a synthetic construct, don't help –, since the text isn't the trace or product of an actual organized thought – or, at least, an attempt at an organized thought.)

PS: "empirical a priori judgement" was meant as translation of synthetisches Urteil a priori (Kant). I.e., our ability to mentally prove concepts like congruency, which are not a priori, but can be inferred without regression to empirical knowledge. Typically, this requires both our inner sense (time, sequence, etc.) and outer senses (space, configuration, etc.)


> I'm afraid, the essence is that is not. Re-sequencing content is not the same as synthesis

Drawing different sources of information together into a single understanding is quite literally the definition of "synthesis" in this context. If that process is what you're referring to as "re-sequencing content", then it does fit the definition of "synthesis" in this discussion.

If you're using the phrase "re-sequencing content" as a way of indirectly suggesting that LLMs aren't relating together multiple sources of information and combining them into a single expression, then that itself is the point of contention that we are arguing about.

Perhaps you're trying to apply a philosophical concept of synthesis, e.g. that of Fichte or Hegel, but that definition applies to a specific type of philosophical analysis, and isn't quite the concept we're using in this discussion.


If we're talking about concepts and communication, in text, I don't know what meaning of synthesis to apply (as long as there is meaning), other than the meaning this has had for centuries. I think, aggregation, extraction and emulgating is something else.

The very purpose of text is to transfer meaning, concepts, observations and complex thoughts to human readers for them to process. And we have built a complex framework around this and for this. The fact that many feel that this framework is violated should hint at there being a problem, a conceptual discrepancy. (And be it just that there's a man-in-the middle, who hasn't authorship, standing in between me as an author and those receiving what remains of the text. In its essential lack of agency, it's less of a mediating recommendation and more of an appropriation. But, maybe, if we're talking about a slip into a new dogmatic slumber, manufactured via an unseen authority that hasn't any authority nor position as an author, the problem goes deeper than this. And, maybe, the masquerading of LLM output as human cummunication and phrasing is part of the problem.)


> I think, aggregation, extraction and emulgating is something else.

Aggregating information, extracting underlying concepts, and combining those concepts into a unified expression is indeed the vernacular meaning of "synthesis" applicable to this discussion.

"Emulgating" is not a conventional English word. Is it a misspelling of "emulating"? I ask because using the term "emulating" here would again represent an instance of question begging, i.e. implicitly asserting the position that what's being discussed is merely the paraphrasing of singularly sourced information, and not the unification of concepts expressed in multiple sources, which I again believe is the very thing we are debating.

> And we have built a complex framework around this and for this. The fact that many feel that this framework is violated should hint at there being a problem, a conceptual discrepancy.

I don't think there necessarily is a problem or conceptual discrepancy here, any more than there has been for all of the centuries that people have been debating epistemology. The problem here is the same as for humans, and reduces to a rationalism vs. empiricism debate. AI tools are pure rationalists, and are solely capable of reasoning. However, many people behave this way as well, and exhibit a rationalist epistomology, even having emotional entanglements with their axioms to the point that they'll bend over backwards to reject evidence that falsifies empirical conclusions drawn from those axioms.

My biggest fear from AI is not that it isn't capable of inductive reasoning -- that's all it's capable of, as I see it -- but rather that the fact that its reasoning has no empirical anchor will lead people who are mired in rationalist epistemology to accept its conclusions uncritically.

In other words, the danger doesn't come from the fact that AI has no semantic awareness, but that people using it aren't seeking semantic validation in the first place, which is a problem already pervasive in our society.


*) "emulgate", maybe better emulsify, but this is a bit lateral to this? The point being, a homogenous preparation, which is more a superficial operation than an essential one, as the establishing ingredients remain the untouched.

> AI tools are pure rationalists, and are solely capable of reasoning.

Mind that the world isn't in the language, nor our connection with the world. (We know this for about 120 years, since we expelled the referens from linguistics.) Which brings us back to the synthetic judgement a priori… You may emulate this, as a superficial trait drawn from other traces of communication, but it's not what this is all about. E.g., I wouldn't expect true "lateral thinking" from an LLM output.

> My biggest fear from AI…

I'd add to this, it's not just empirical vs rationalist epistemology, it's also about empathy, anything referring to the conditio humana, which is really what any text is about, even a scientific one (why is it that we do want to know, what are the motivations, the regulating circumstances, etc.?).


The mainframe model fell apart the moment that microcomputers became powerful enough to satisfy same use cases sufficiently. Centralized GenAI will also become obsolete as soon as local LLMs are capable enough to satisfy the same use cases sufficiently.

Artificial lock-in simply doesn't work in the long run: the incentive structures will always motivate customers to cut out middlemen, and peripheral markets to develop around providing the tools for doing exactly that. Anthropic and OpenAI may well end up being the Data General and Honeywell of our era.

The greatest risk to this is the possibility of political intervention creating artificial hurdles that prevents decentralized AI from challenging the big players. With than in mind, it's worthwhile to subject every proposal to regulate AI to intense scrutiny.


But in the present moment, it seems like countries are themselves even more outside democratic control than multinational companies are.

The mechanisms of democratic accountability in political institutions are today are demonstrably dysfunctional and broken, if they ever really worked at all, whereas multinational companies are at least somewhat beholden to market pressures. Sure, they can engage in jurisdiction shopping when that's viable for them, but it's more often the case that they seek to influence those very governments in order to insulate themselves from accountability to the market.

And many of the bans and restrictions that firms try to avoid by switching jurisdictions are themselves the result of some other industry or special interest group managing to exert stronger influence over the local political institutions, and not due to any sort of "democratic" consensus. Look at the recent cluster of nearly identical age-verification laws passed by jurisdictions around the world, which there was near zero "democratic" impetus for, as an example of this.


Dunno. In democracies you can still vote the bastards out, even if the process is imperfect.

The age verification thing was initially a UK project and people there broadly support it https://yougov.com/en-gb/articles/54405-eight-months-on-thre...

the others copied


> To stop this, I a month or two ago put most of my Amazon Redshift research web-site behind a basic auth username/password wall.

> It all remains free, but you need to email me for a username and password.

That also creates friction for new users, discoverability issues, and additional privacy concerns for people wanting to access your content.

> I had a look for ways to indicate to AI companies to remove my content.

Even the ones that do provide attribution and links back to the original source? Perplexity does a good job of that, for example.

> As a consequence of putting up a username/password wall, Google has profoundly de-ranked the site, and I believe it is basically not being found on search any more.

Well, yeah, if you're blocking the content from being accessed without a login, you're blocking it from being indexed by search engines.

I guess I'm a little confused as to what your ultimate goal is. If you're putting content up on the web for free, what are you gaining by blocking AI from indexing it, especially when you're blocking actual users, whether they discover it via AI or traditional search?

I understand the frustration at seeing AI tools digest your content and then repeat to users without connecting it back to your site. But that's something that other people have always been doing independently of AI -- people read articles, learn facts or understand new ideas from them, and then incorporate them into their general assumptions to be expressed in their own work without necessarily acknowledging, or even recalling, where the underlying information that informed their thinking came from. People have been writing articles and producing various forms of media content that are inspired by other people's unattributed work since time immemorial.

Yes, AI accelerates that process and makes it more visible to you, so I understand where the frustration is coming from. But consider that the expectation that everything that happens downstream of your work will always be attributable back to you may never have been a reasonable one in the first place.


> True. It's a massive shift of power, all being centralized.

It may seem that way in the short term. But in the long term, the tendency in technical development is for the infrastructure and capital requirements for new technology to start off very high, but then shrink over time, such that use cases that required massive amounts of upfront investment in the early stages become incrementally more viable at smaller and smaller scales.

People were saying the same things about computers in general in the 1960s as they are about GenAI now. That was an era when computer technology itself had developed to a point when it was economically impactful, but still only affordable to large institutions. People making predictions that increasing use of computers would lead to massive centralization of economic and cultural power didn't predict that merely twenty years later, computing power equivalent to contemporary mainframes would be available in a convenient desktop box available at a local shop to any individual or main-street business that cared to buy one.

The widespread availability of computing technology from the '80s to present actually had the opposite effect, and led to quite a bit of decentralization, as enterprising individuals and new startups started applying that technology to do at small scales what only large enterprises could do before. In fact, a lot of the reaction to AI in its current stage may actually be because it's disrupting the expectation of decentralization and autonomy over our technology that the personal computing revolution established in the first place.

Like most new technologies, GenAI in its initial stages has required massive infrastructure investments that have led to the early iterations being offered by centralized institutions, but that might not last. Open-source AI models are approaching the capabilities that the big players' frontier models had arrived at only a couple of years ago.

In 2026, we're already at the point where local inference is economically viable for commercial use cases -- at my own company, while we do use our Claude Enterprise account for a variety of use cases, it turned out to make much more sense in terms of both cost and risk exposure to instead process certain datasets (e.g. a large volume of phone recordings containing PII) with local models running on commodity GPUs. That proved to be entirely effective, and the one-time hardware investment (which created a bookable asset for the company) turned out to be less than the cost of running the same task on Claude (which would have been pure OpEx).


Your positive view makes sense to me and is refreshing. Let's see how things play out. So the pattern will be: that which can be done with smaller models will be decentralized first; gradually the more advanced stuff will become within reach. I already do use google search's AI Mode (probably a 300B model) for many quick questions. Local models would be great for things like checking my email and many other things (sensitive + continuously running = not suitable for Opus). My 64GB DDR4 laptop can already run Qwen 47B at .7 tok/s, that's already usable for some usecases (overnight stuff mostly).

Perhaps some of the same people and organizations who have poured funding into AI firms that have yet to attain profitability.

There are plenty of people who care about the underlying concerns that "anti-trust / anti-monopoly enforcement" is trying to correct, but recognize that the only mechanism ever proposed for addressing those concerns usually involves concentrating ever more power into the hands of an even larger and less accountable monopoly.

The biggest error of the "left" in most of these conversations is treating political institutions as something uniquely well-intentioned and competent, rather than understanding them as just another set of institutions in society, subject to the same incentive structures, biases, and errors as everything else.

A lot of skepticism of political interventions doesn't necessarily come from refusal to acknowledge that there is a problem, but rather from the recognition that the proposed solutions often just represent even worse instances of the same sort of problem. I think a lot of the people who've tended to support political intervention may have operated under the naive assumption that giving the federal government expansive power to intervene into our social and economic affairs could only bring net benefit; hopefully, the behavior of the current administration in the US should be something of a wake-up call.


I agree with (very, very, nearly) everything you say - particularly about the naivety of the "left"'s assumptions about political interventions being necessarily well-intentioned and competent.

On the other hand, skepticism about political intervention over-corrects when it assumes or insists that government action can never be a net benefit. Even the first Trump administration produced one extraordinary success - "Operation Warp Speed" - though, ironically, their faction is too ideologically warped to claim it.

The only point of difference I would identify is that I think a democratic government is more accountable than the monied interests to which it is a necessary counter-balance - and that, historically, the US government has (albeit imperfectly) functioned as such. However, the current US regime is, as you suggest, endeavoring to place itself beyond all democratic accountability, so yeah: I can read the writing on that wall. The bitter irony, of course, is that the political movement which has delivered an historically corrupt and unaccountable executive has been built upon the support of naive skeptics. I hope they will recalibrate their assumptions accordingly.


Ubiquiti really should be the model for every company selling hardware today.

Their business model is a straightforward "sell a good product at a reasonable price" approach, and they seem to be quite successful at it without needing to resort to gimmickry, subscription fees, or other even less savory ways of monetizing other people's activities.


I'm still pretty sour that they removed the ability to self-host the NVR and you have to use their cloud solution now.

You’re talking about when you used to be able to run Unifi Video on your own distro? Yeah that was good, but you definitely don’t have to “use their cloud solution” for NVR now; you buy the box, the video is stored on the box.

Yeah you used to be able to run unifi video on your own hardware. Now you have to use their box and access it through their cloud. I had notifications working in the self-hosted version with VPN.

Yeah, that was an annoying move, but a bit more understandable in terms of the support overhead of dealing with controller installations in a wide variety of disparate environments. They could have continued to offer it in an "unsupported" state, but then there are already great community-driven FOSS projects like Frigate in that space that are a better fit for the self-hosting segment.

But Ubiquiti doesn't really seem to be going for ecosystem lock-in: on the flipside, earlier this year, they released an update to UniFi Protect that enabled any RTSP-based video stream to be connected into it, rather than just their own cameras. That enabled us to migrate a site with 30+ Hikvision cameras over to UniFi infrastructure without having to purchase all new cameras from Ubiquiti.

Other companies might be disappointed that we didn't buy cameras from them, but maybe the people at Ubiquiti understand that we weren't going to do that in the first place, and not being able to use our existing cameras was a blocking factor for us to move the rest of the infrastructure over to UniFi.


> I don't think they baited and switched?

Technically true, because bait-and-switch refers merely to advertising an attractive product offer in order to lure people into a pitch for a different product.

In this case, they actually sold a product, then decided to maliciously alter the product after it was sold to modify its behavior. That makes this a much more serious offense, equivalent to trespass, vandalism, or possibly even burglary.

It's equivalent to selling someone a house that includes a secret entrance that you retain access to, so you can surreptitiously enter the house to steal the new homeowners' property after they've moved in.


> I've always been told it's called business.

The "business" ended when the sale transaction concluded. The fact that you were the seller in that past transaction doesn't entitle you to vandalize goods that now belong to someone else.

This is just crime trying to disguise itself as legitimate business, as scams often do.


> The "business" ended when the sale transaction concluded.

Actually not, though not in a way that makes the rest of your post incorrect.

Various laws and regulations state that the seller has responsibilities to the buyer after the initial transaction has completed, one of which Bambu might¹ be transgressing by removing features that people we lead to believe were part of the product, and could reasonably expect to remain part of the product, at the time of the sale.

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[1] This has not been tested in court, and I'm no lawyer, take my idea of what is the case with a requisite serving of condiment.


I've been treated this way numerous times. First example: FlightRadar - I bought the app, they sunsetted it and created "new one" with monthly payments

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