VoiceOfLogic
I happen to be, unfortunately, the first human super-intelligence.
What a sad tragedy to see what others can't see.
User ID: 1999
VoiceOfLogic
1yr ago
Strongly agreed on the saliency of it, e.g. for Elden ring.
However I sometimes try to read reviews not for being convinced but to be persuaded, to hype me.
Reading about flaws makes me emphase and give attention to them.
So there is a tradeoff but you're mostly right.
VoiceOfLogic
1yr ago
What is interesting with those brows is that it is not in fact a feminine feature but a masculine one. Few people understand that the modern artificially enhanced woman has in fact an androgynous face to such remarkable extent that some of their features become more masculine than men themselves.
women rate him less attractive than men
Interesting, sauce?
VoiceOfLogic
1yr ago
Maybe unrelated to your needs but I believe people waste too much human resources on niche low level languages like C/C++/rust (I've extensively learnt both BTW) and could get much more proficient and expert in their job language instead, such as Kotlin which is the sweet spot IMHO.
I am not making assumptions about your "sect," but you are making too many ideological statements to be convincing as a non-ideologue.
Seeing the world for what it is does not imply having mild opinions about things, quite the contrary.
In many cases, what people might perceive as ideological can sometimes be instead simple debiasing statements.
If in the future you see me say potent statements without any evidence nor trivially accessible evidence then I would like to be noticed and to provide said evidence or otherwise change my mind and exit a sect I was unaware to be in.
VoiceOfLogic
1yr ago
Excellent comment, very much appreciated.
It's not everyday someones manage to teach me a new concept :)
Quite a crazy coincidence, I saw this word before your comment yesterday by pure luck https://semanticsarchive.net/Archive/WNjOWZiY/
It often happen to me, to see something apparently (?) for the first time in my life and then to see it again, in the following days out of pure coincidence.
While I'm tempted to believe such coincidence have a mystic nature, the insight I derive from this phenomenon is that I must have a cognitive bias of being blind to unknown words, that is until I see a proper definition of them. Kinda sad.
Anyway back on the topic, would there be a way to use an obviative pronoun in english without sounding too robotic/unnatural?
VoiceOfLogic
1yr ago
That is not a solid solution to any dataset changing in real time. More data can only do so much, as a metaphor, see the limits of AOT versus JIT for compilers.
Hi, thanks for the heads up.
I agree I said the claim of racism with a bit too much insistance and that I shouldn't have used a universal quantifier "no one"
In case it wasn't clear, it was a figure of speech, I'm obviously not claiming at all litterally that no one knows about the slavic genocide but it is an emphasis to make people realize how strikingly underknown, undertaught and undertalked it is.
Context is key, did I say straight out of nowhere that the person I'm answering to did not know about the slavic genocide? No,
My initial comment was a question:
I invite the reader, for example, to ask himself if he knows what was the biggest genocide during WW2.
Then the person answering mostly failed the test as there was no mention of the slavic ethnicity being twice as big as the jewish ethnicity, which is the salient and useful fact.
They have mixed up the term holocaust (jew only genocide) with other ethnicity which hide the salient fact and defeat the purpose of the question.
Although my two salients statements, that china were induced extreme suffering because of the west especially fertilizer ban and unfair treaties, and that the biggest genocide concern the slavic ethnicity, are example of an asymetry in what matters to people from the west, the differentiating factor between slavic and jewish is none except the possibility of differential racism.
Therefore this asymetry of reporting and of caring of human suffering and of responsibility is an evidence based example of racism mechanisms or at best ethnicity selective apathy.
It would be hypocrisy to not admit to the asymetry of public commemoration between the two genocides. Shoah is a worlwide topic that is a basic fact.
Another piece of evidence is that I was mostly not taught those facts in my standard school (France) or they were mentionned for a minute.
The litteral title of the scholar paper research I linked on the slavic genocide is "The forgotten Holocaust"
I'm sure that make much more evidence than needed to get the point and have a civil discussion about it. But alas, people are polarized.
Yes some people in this community knows about those historic events contrary to my lazy claim however it is very likely that for the rest of people it should make them question their information feeds and their opinons about worlwide justice. Hence a rare and useful contribution.
Again I will avoid needless universal quantifiers in the future.
I wish people would come with intellectual curiosity and good faith.
pedantic note:
you're taking an unpopular ideological position
I am not doing any ideology here and I have stated no defense or approval for the PRC.
I am stating facts that can hurt beliefs in the anti-sino tribe. That does not make me a part of the pro-sino tribe.
I'm interested in reality, not ideological sects.
VoiceOfLogic
1yr ago
This is false and a cheap trick for gaining attentional emphasis.
Of course it is a truism to understand that medias often use omissions and quantifier alteration.
It might be more frequent than straight lies however the media do lies often about basic facts and as such it is not rare let alone very rare.
A common straight lie for example is to claim that there is no scientific evidence about something or to claim there is a single and consensual scientific voice about something.
Those straights lies (just one example among many) are very frequent and potent.
I see multiple flaws in that single sentence:
Remind me again how the "first economic power" was humiliated for a century by mere white pigs?
Remind me
Given the implied snark I will assume there is no reminding because you never learnt about it in the first place
"first economic power"
The quote of course aims to reject the claim and even ridiculize it despite being true for most of history and shifting in great parts because of the century of humiliation
Here you can obvserve GDP over time: https://youtube.com/watch?v=xb5zYKYF3Xo
As you can see, china has been the #1 economic superpower consistently during the last centuries.
The century of humiliation is from 1839 to 1949 but even still apply to this days regarding territorial losses.
by mere white pigs
This is bad faith and low quality.
No need to attack white people as a group, after all sociopathic policies are mostly not derived by genetics.
So about the century of humiliation, China was militarily forced by western countries to sign treaties against its own will and interests and to secede territory.
https://en.wikipedia.org/wiki/Century_of_humiliation
The British forced the government to let it massively drug its population via opium
Colonization of Hong kong and Macao
Sacking of palaces
Invasion of various large territories including outer Manchuria
And various treaties that ruined the economy
As a result, China lost its functional sovereignty and prosperity.
The mere white pigs as you say, have induced similar suffering in most parts of the world.
VoiceOfLogic
1yr ago
That is a geat comment, I will answer it properly when I get the time.
VoiceOfLogic
1yr ago
Was that essay on metaculus written by you
Yes I'm the author.
Have you read it?
do you have a blog?
No I don't yet have a formal blog but I intend to write one in the following months and to shake the rationalist diaspora and confront them to their own limitations. A much needed endeavor.
Cool username BTW, have you tried lucid dreaming with cholinergics?
VoiceOfLogic
1yr ago
Well English surely seems deceptively simpler than it is, I often find in my quest of building the first program able to understand sentences, such hidden complexity.
The most effective way to contemplate it though is to browse this forgotten field that is Computational linguistics
https://semanticsarchive.net/cgi-bin/browse.pl?search=
what if it's Alice and Barbara? It might work in 50% of the cases then.
Exactly, this is an optimization not a necessary component of language but I believe, a useful one.
The most striking example is to learn French, where we gender objects. That seems absurd and it semantically is, but it allows to disambiguate objects in a mental scene.
Oh I just realized that's what you meant with German.
Also yes, the path to progress is a long one :)
Holocaust, 11 000 000 - 17 000 000 dead.
Well I'm not an expert on holocaust, a quick google gave me a 5-6 million killed jews estimate and that is the authoritative one on wikipedia
https://en.wikipedia.org/wiki/The_Holocaust#::text=Between%201941%20and%201945%2C%20Nazi%20Germany%20and%20its%20collaborators%20systematically%20murdered%20some%20six%20million%20Jews%20across%20German%2Doccupied%20Europe%3B%5Ba%5D
It seems the 11-17 number your refer is a mix of jewish kills and the killing of other minorities, especially Romani people
I am not refering to the Jewish genocide but to one that is twice as big and that you never heard about because of racism:
It killed 11 million human beings, 11 million slavic civilian people for their ethnicity
https://studenttheses.universiteitleiden.nl/handle/1887/75106
who caused the Great Chinese Famine
PRC, Mao in particular.
Well that is a misleading answer.
Mao had its flaws but the general direction of china made sense, they suffered from the century of humiliation, something that isn't taught in schools because of racism.
As a result they went from the first economic power worlwide to extreme poverty and had to make, very late, a transition to an industrial revolution (from a mostly agriculture based economy)
There has been flaws during this necessary transition, however people completely fail to understand the reason behind 99% of the deaths, an artificial one, deliberately chosen by the U.S.A and other occidental countries, a worlwide ban on exports to China. A worlwide ban of many technologies including the main disruption of the century, the discovery and production of fertilizers.
Therefore the death of all those human beings has for main and sufficient responsability the occidentals hegemonists and their will to bend China and froze them into the middle age.
The ignominy of the west is rampant everywhere and the ignorance of those crimes againsts humanity continue even today.
VoiceOfLogic
1yr ago
Until you run in a situation you never encountered before as the world is highly variadic and then the system pathetically fail.
VoiceOfLogic
1yr ago
Nobody can ever define what "understanding" means
This is an appeal to ignorance.
Understanding something is having a causal model of it.
It allows to analyze such system and reliably predicts it and its consequences.
A system with a reliable understanding should be able to output argumentative text/syllogisms showing said understanding, free of logical fallacies and with source to the truth values of the premises.
To mysticize what understanding is really shows once again the truism that epistemology should be taught in schools.
The point is, it does not matter whether you think it is really really deeply understanding, as long as it is capable of accomplishing goals and having real impact.
At the end of the day, the result is what matter indeed, but without understanding a system is non-reliable and cannot be trusted for many serious needs.
VoiceOfLogic
1yr ago
It's not because something is useful than it is logically sufficient. Those culture might have gender issues for other reasons, yet the linguistic distinction promote tribalization.
Nor are there problems with coreference resolution
I don't see a proof, languages SOTA in NLP are consistently inferior to english SOTA.
That is because there are more researchers and datasets for english but not only.
Some languages are more fit for NLP, and english as it is known is among the simpler languages.
Now about the usefulness of he/she, well it trivially solves coreference resolution in case of ambiguity.
For example:
I was talking to Alice and Bob, then suddenly she passed out.
Who passed out?
Alice.
It is trivial and useful, it reduce the cognitive load of reading and writing, and works well since 49% of humans are women.
VoiceOfLogic
1yr ago
An ambiguous "is maybe an object" is preferable to "is maybe plural" since contextual confusion about the former is extremely less likely than the later.
But yeah ideally we would create a new gender neutral singular pronoun.
VoiceOfLogic
1yr ago
Great point, the narrative must fit within the shrinking attention span of the decadent reader.
VoiceOfLogic
1yr ago
China covid policy is (was?) an immense success unfortunately the rest of the world is too inept and criminal to react efficiently to covid entry points and therefore millions of humans die and quality of life, worldwide intelligence level and lifespan are put at an extreme and yet unknown risk. How many times will people catch covid in their own lifetime? How many percents of neurons/synapse lost? This is extremely worrying.
China has ordered its first batch of foreign vaccines from Germany
China is the biggest exporter of vaccine worldwide (2 billions ?), while occident was keeping them all for themselves and did not allow other countries to produce patented vaccines (well it maybe was allowed very late I don't recall exactly the timeline) china saved the majority of mankind regarding covid deaths.
While their vaccine was a bit less effective, with the newer variant it is on par if not better? (I haven't looked at the viral load metric, where mRNA vaccine have become entirely useless) see https://old.reddit.com/r/Sino/comments/zq0x2h/after_2nd_and_3rd_dose_chinas_sinovac_reach/
Of course the best vaccine would probably be a combination of distinct ones. Also, let me remind the world that the Russian main vaccine is very competitive and was denied out of pure racism, although nowadays we have the ukrainian war narrative.
As for accounts of said racism I invite the reader, for example, to ask himself if he knows what was the biggest genocide during WW2.
As for anti-sino racism, while on the digression, I'll ask the reader who caused the Great Chinese Famine.
VoiceOfLogic
1yr ago
English is not my native language but "it" seems much more gramatically correct than the plural ambiguous "they".
The fact we alter language to make it more ambiguous, for humans and even more so for AIs is worrying.
At some point I was for eliminating she/he but then I remembered the little known fact that it is useful for coreference resolution. However besides this fact I'm convinced if we eliminated he/she, there would be much less identity wars between the two genders and therefore more egalitarianism.
VoiceOfLogic
1yr ago
I don't think there's any human being like me on this timeline but I would love to find a clone.
I've never read about Julius Branson https://juliusbranson.wordpress.com/blog/
What makes this person similar to me?
What makes you think I am him?
Are you the founder of the Obsidian.md startup BTW?
VoiceOfLogic
1yr ago
Tangent to this, one might find interesting the recent comment I wrote about the lack of modern utopias that is characteristic of our era and the void it leave in us.
The gist starts at the half of my comment, ctrl find "The salient message I have"
https://www.themotte.org/post/240/culture-war-roundup-for-the-week/45193?context=8#context
Also it is disappointing to see that themotte.org does not support the disruptive feature that are text fragments https://web.dev/text-fragments/
[Neural networks] are a local minima in the research on how to beat local minimas.
Could you expand what you mean by this? I'd think neural networks would be a local maximum.
Minimum, maximum, it doesn't matter to understand the metaphor.
A neural network through gradient descent generally want to find the global minimum of an error function and therefore maximize predictions accuracy.
It could instead search for a global maximum to the inverse of an error function or to another type of function, but the distinction is irrelevant here.
Gradient descent often fail to find the global minimum and instead because it descent/jump through derivates it can be stuck in a local minima, which simply means that it has reached a minima on a function curve and at this point, it needs to go upwards to go beyond the minima, therefore it temporarily afford to perform worse, to increase the error rate, in hope to find a new descent on the curve that will be lower than the previous minima
Not being stuck in local minima is the #1 metric to improve deep learning algorithms and while there are many optimizations towards this goal it is not computationally doable with current algorithms to have optimal learning aka reach the global minima.
So now we understand
the research on how to beat local minimas == neural networks.
now let's understand
[Neural networks] are a local minima
They are a local minima because Neural networks are fundamentally unfit towards AGI needs.
They are just a vomit of bruteforced contingent correlates and it works surprisingly well but it is inefficient, makes poor contingent amalgamations inherently,
have no causal reasoning abilities, are stateless and cannot do continual learning AKA they can't learn new info in real time without the so called catastrophic forgetting.
For those reasons, they are by design suboptimals and therefore are a local minima in which the world is stuck, in the goal of beating local minimas.
Now we are in another period of rapid advancement.
No offence, but it's really striking to see that the rationalist diaspora people live in an alternate reality based on groundless hype and a fundamental lack of methodology, or should I dare say, lack of rationality.
We are in a winter since 2019 or since the 90s depending on what we look at.
What does the average lesswronger or redditor look at?
He looks at cool demos. Or even more than demos, cool domain specific disrutpive applications.
That is what stablediffusion and chatgpt are.
They are indeed very impressive for what they do but at the end of the day that is irrelevant towards the natural language understanding goal.
someome with methodology should instead look at the precise tasks required towards true NLU or even AGI.
POS tagging:
https://paperswithcode.com/sota/part-of-speech-tagging-on-penn-treebank
dependency parsing:
https://paperswithcode.com/sota/dependency-parsing-on-penn-treebank
coreference resolution
https://paperswithcode.com/sota/coreference-resolution-on-ontonotes
word sense disambiguation
https://paperswithcode.com/sota/word-sense-disambiguation-on-supervised
named entity recognition
https://paperswithcode.com/sota/named-entity-recognition-ner-on-conll-2003
semantic parsing
https://paperswithcode.com/sota/semantic-parsing-on-amr-english-mrp-2020
Only to name a few, all of them are needed concomitantly, and that is by far non-exhaustive.
Once you undestand that the error rate is often per word/token instead of per sentence, and that error between those tasks have dependencies and are therefore often multiplicative and you'll undestand that a 95% accuracy while it sounds impressive is in fact dogshit.
What can you see from those SOTA results?
That we have reached a plateau of extreme and increasingly diminishing returns.
Most of the gains are from 2019, the year transformers were popularized. The rest has been a bag of tricks, and unoriginal minor optimizations.
The biggest innovation while still mostly unknown/underappreciated by the researchers group think, is XLnet, from 2019 too.
There is nothing else we can do, we have maxxed out the bruteforcing of statistics amalgamations, contrary to the belief, there is almost zero progress in SOTA results and most importantly there is a fundamental shortage of innovative ideas, wether we speak of an alternative to transformers or about innovating transformers themselves, nothing potent.
While it is obvious transformers are a misdirection, despite this I can improve the state of the art in any NLP task because there are additional ineptia in the research crowd.
Firstly almost nobody is working on improving the SOTA in most tasks, e.g. coreference resolution. Just look at the number of submisions over time to realize this.
Secondly as in every research field, the researchers are highly dysfunctional, AKA they will invent many minor but interesting, universal and complementary/synergetic optimizations ideas and yet nobody will ever attempt to combine them concomitantly, despite it being trivial. That is because researchers are not meta-researchers, and because of potent NIH syndrome and other cognitive biases.
For starters, the worldwide SOTA in dependency parsing is because I asked the researcher to switch BERT for XLnet, and it worked.
I plan to outperform the SOTA in coreference resolution in 2023, that will empirically strengthen my thesis on the dysfunctionality of mankind and on artificial scarcity.
I invite you to read this complementary essay on the topic: https://www.metaculus.com/notebooks/10677/substance-is-all-you-need/
VoiceOfLogic
Excellent find, I wish there was a subreddit for obscure quality rabbit holes like this.
I appreciate the mention of yandex, it is something that is easy to forget but google only shows a chunk of the internet, unfortunately I don't speak russian but yet I was able to find a unique find, inexistent on google, the roadmap towards the VVER supracritical nuclear reactor, coming this decade (IIRC) and that will disrupt nuclear fission economics.
BTW
how did you find this website?
Did you notice the main page?
https://hwlabadiejr.tripod.com/ENIGMAS.HTM#TOC
The author has made a whole book apparently
here's his (was?) email address hlabadJr@aol.com
I wonder what Horace W. LaBadie, Jr. is doing nowadays, would love to see him go on substack :)
Also one might be interested in using a "website auto explorer", a tool which automatically find sub-URLs on a website.
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