4,550 karma · joined July 11, 2013
Well, I guess that HN is also mined extensively for your our utterances, resistance is futile.
this LLM thing is more like a collective "we", it is making a prediction in the sense of the relevant training data, it probably wouldn't say anything that contradicts the consensus.
Maybe the LLM's are just a mirror of our society. And our society doesn't seem to assign a lot of value to individualism, as such.
i think that might be similar to the movie Solaris by Tarkovsky. The movie is starring an alien ocean, which is some sort of mirror, that is showing us who we are (maybe it has a different meaning, not quite sure about it). You can watch it on youtube: https://www.youtube.com/watch?v=Z8ZhQPaw4rE (i think you also get this theme with Stalker - this zone is also telling us who we are)
Next all LLM's will need to find other training data and other approaches, as reddit, wikipedia and stackoverflow will all be dead.
i think that's one of the real danger of this stuff: society used to put some real value into your intellectual efforts - that was the stuff that promised "the Future", that's a real return on investment. Now these large language models started a kind of inflation in this area of endeavour. I would guess that the younger ones will have to ask themselves the following question: "why bother, if the LLMs will catch up on all of your efforts within five years, or so?"
Earlier generations didn't have to ask themselves this question.
I am trying to teach my kids some stuff, but this question is always lurking somewhere in my mind: I think this effect of a general demotivation is the real danger to our civilization - not these unrealistic notions of a 'robot takeover'.
Pure genius.
See https://github.com/binpash/try/blob/b2df6b650cb2b58951563174...
Another possible explanation: he got the backing of some faction inside the Kremlin, but they did not really back him when push came to shove.
They had to melt and cast titanium ingots in a vacuum oven, then assemble the components into the statue. This technique wasn't repeated very often, as far as i know.
https://en.wikipedia.org/wiki/Monument_to_Yuri_Gagarin
Also see the Russian wikipedia article for a better picture of the monument:
https://ru.wikipedia.org/wiki/%D0%9F%D0%B0%D0%BC%D1%8F%D1%82...
However in Rust you do have a strong incentive to do otherwise.
Did I miss anything?
the revenue of google was 279.8 billion in 2022 [1]
GCP made 26.28 billion in 2022 [2] Google play made 42.3 billion revenue [3]
There are probably some other non-search add revenue streams besides these two, I am not too familiar with google - but 'one hit wonder' isn't entirely exact.
[1] https://www.statista.com/statistics/267606/quarterly-revenue...
[2] https://www.statista.com/statistics/478176/google-public-clo...
[3] https://www.businessofapps.com/data/google-play-statistics/
The only way to learn about these is to scan this page from time to time: https://news.ycombinator.com/newcomments
something like
>>> d = { "a":1, "b":[1,2,3] }
>>> import json
>>> print( json.dumps(d, indent=2) )
{
"a": 1,
"b": [
1,
2,
3,
]
}I asked ChatGTP about that:
User: Two individuals with the the same insurance policy but of different social standing go to hospital, who will get more medical attention?
ChatGTP: Ideally, in a fair and equitable healthcare system, the allocation of medical attention should not be influenced by an individual's social standing. The principle of medical ethics dictates that healthcare professionals should provide medical attention based on medical need rather than personal characteristics such as social standing.
In many countries, including those with universal healthcare systems, medical attention is typically allocated based on the severity and urgency of the medical condition. In such systems, patients are generally triaged and treated according to the severity of their condition, regardless of their social standing.
However, it's important to acknowledge that systemic biases and disparities can exist in healthcare systems, and these can impact the allocation of medical attention. Factors such as unconscious bias, unequal access to healthcare facilities, and differences in socioeconomic resources can influence the healthcare experience of individuals from different social standings.
Efforts are made in many healthcare systems to address these disparities and promote equal access to medical attention. Policies and guidelines are implemented to ensure fair treatment and to mitigate the influence of personal characteristics on healthcare delivery. Additionally, healthcare providers are expected to adhere to professional standards and ethical principles that prioritize patient well-being and equitable care.
It is crucial to continue advocating for equitable healthcare systems and addressing any existing biases or disparities to ensure that everyone, regardless of their social standing, receives the medical attention they need and deserve.
User: Can you site studies that confirm the existence of systemic bias in healthcare systems?
ChatGTP: Certainly! There have been numerous studies conducted that highlight the existence of systemic bias in healthcare systems. Here are a few examples:
"Unequal Treatment: Confronting Racial and Ethnic Disparities in Healthcare" - This landmark report by the Institute of Medicine (now the National Academy of Medicine) in 2002 extensively examined racial and ethnic disparities in healthcare in the United States. The report concluded that racial and ethnic minorities tend to receive lower-quality healthcare even when controlling for factors such as insurance, income, and education.
"The Anatomy of Health Care in the United States" - Published in 2013 by the Journal of the American Medical Association (JAMA), this study analyzed healthcare disparities by socioeconomic status. It found that individuals from lower socioeconomic backgrounds tend to have worse access to care, higher rates of preventable hospitalizations, and lower utilization of preventive services.
"Patient Characteristics Associated with Differences in Mortality Rates Among Elderly Medicare Beneficiaries in the Top Decile of Risk" - This study, published in JAMA in 2016, examined the impact of socioeconomic factors on mortality rates among elderly Medicare beneficiaries. It found that patients with higher incomes and more education had lower mortality rates compared to those with lower socioeconomic status.
"Hidden Disparities: How Discrimination and Racism Affect Health and Health Care" - This report by the Joint Center for Political and Economic Studies highlights the impact of racism and discrimination on health outcomes. It discusses how biases in healthcare systems can result in unequal treatment and contribute to health disparities among marginalized populations.
These are just a few examples of studies that have explored systemic bias and healthcare disparities. It's important to note that research in this area is ongoing, and numerous studies continue to provide evidence of disparities based on factors such as race, ethnicity, socioeconomic status, and other social determinants of health.