How about the broad anecdotal consensus that Duolingo, a gamified language app, famously does not do much if anything to prepare people for conversational fluency.
That's also grammar that's fit to get you harangued and chided by other 4-9 year olds on the schoolyard. Social outcomes are the primary means by which language is meaningful.
Earnings represented by GDP are not distributed evenly across a given population. That 17% of extra earnings goes to relatively few people in the States (I'm putting this very mildly, the concentration in reality is insanely lopsided).
You're playing party politics. That's the risk you take: that the party has goals beyond your (dareisay naive) utopian ideals for civic engagement.
Parties are not universally evil, when I malign them in this way it is in full acknowlegment that organization is the nearly singular path to "effect on target" as regards society-scale politics. What I mean is the party per se becomes a superorganism that has always as its first priority self-preservation (a la homeostasis) and it is very worth remembering this when subsuming oneself into their structure.
No, it's not a law in the same way as physical laws. Most of the failures in economics of the past 50 years can be mostly directly attributed to a fatal overcommitment to the belief that these attributed relations are incontrivertible.
What really exists, closest to the limit we will call "hard science" or "physics", is the microcosmic focus on individuals interacting in a market. Everything else -- supply and demand as a theory definitely included -- is a statistical extrapolation from micro-scale interactions. Hence the label of "dismal science". It's dismal because every hardline assumption is inevitably contravened by real life physics.
Supply and demand is and always has been a useful first-order approximation. Reality is a lot more complicated.
Dear reader, never believe anyone who says a serious societal problem is "just" anything. Especially on the internet when they use merely a pesudonym to assert their authority.
Especially when the person behind the pseudonym is a one-time washed-out author desperately clinging to their housing stock in Atherton.
It is different, but there may be some universal principles that are relevant more abstractly among both cases. Of particular interest is the empirical notion that statistical models of a certain form will always tend to "average out noise" and "learn meaningful patterns" up to the capacity that those models have for representing said patterns. A parallel notion to this is the hypothesis dubbed "thermodynamic origins of life". The universal principle binding these two seemingly disparate topics is one that seems to underlie any sense of "learning" in physical systems: that semantics of those systems depend on their representational power, and the semantics they do come to represent are the results of adding up many pushes in one "direction" (phase space / state space / etc.) encoding a pattern, and adding up many random noise jiggles will cancel out but give you a first-order sense of variance of those semantic features as expressed by the environment.
As this description is so overly abstract, an exercise for the reader is to try to work through an explanation of how, say, a river delta comes to "learn" about its environment by "reacting" to the influences at its borders, and how it "encodes" whatever it is that it learns in the substrate that it inhabits.
Tried and failed to beat Framework to market. Frankly I'm hopeful that Framework beats this offering out, though I'm happy for the competitive pressure.
Ok, sure. You want more words to say the same thing, here you are.
It got vociferous support from the highest levels of government even though the deception ("protect kids!") was so blatant and transparent, and it wasn't until a legion of privacy and in particular tech-literate advocates raised concerns in mass media together with an awareness campaign about the dangers of unchecked surveillance structures that it was finally... shot down.
Europe is, compared to the US, doing a lot more for protection of private data. That includes strict guardrails on what data can be collected and how it is used.
Secret courts still exist but the phenomenon of random Flock employees spying on children in locker rooms at gyms is so much harder to get away with in a system with a modicum of decency.
Chat control was actually shot down, and that was the UK not Europe (anymore).
Laws are different in different places. The world is not composed of America and other-Americas.
Your refusal to interact with subtext has me guffawing. I wonder if you even recognize what you're doing.
In the history of revolution, there is never (except in elementary school) all that much weight put on the singular act which instigated the final result. The conditions in place (Jim Crow laws, Southern pride, etc.) lead up to a final moment which our monkey brains like to point to as the cause but in reality there is a simmering cultural froth which could boil over in any number of ways: it just happens that one of the ways is what's described in the Wikipedia article, but it could have started many other ways. All of our understanding about the experience of being Black in the US during that time helps to contextualize the extreme and disproportionate outburst of violence by the White population as racially motivated, serving under an ideology best described as ur-"Great Replacement Theory".
In simpler words, the destruction of Black Wall Street is not without precedent, indeed this was merely one of the more famous and complete examples of destroying the wealth that Black people enjoyed, if only briefly due to the hate of those visiting violence upon them.
Exactly, even in the throes of today's wacky economic tides, storage is still cheap. Write the model state immediately after the N context messages in cache to disk and reload without extra inference on the context tokens themselves. If every customer did this for ~3 conversations per user you still would only need a small fraction of a typical datacenter to house the drives necessary. The bottleneck becomes architecture/topology and the speed of your buses, which are problems that have been contended with for decades now, not inference time on GPUs.