Researchers mathematically proved that LLM hallucinations can never be fixed.
It is Impossible.
They modeled Large Language Models as Probabilistic Turing Machines. They tested them against the absolute boundaries of computer science: incomputability, information theory, and diagonalization.
The result is absolute.
If a model relies entirely on its own internal parameters, hallucination is mathematically inevitable.
You cannot train it away. You cannot scale it away. It is a hard limit of mathematics.
But the researchers found an escape route.
They call it the "Oracle Escape".
In computer science, an oracle machine is a theoretical system capable of bypassing its own limits by querying an external source of absolute truth.
The researchers proved that the only way to break the hallucination barrier is Retrieval-Augmented Generation (RAG), giving the AI access to search the outside world in real time.
RAG isn't just a clever hack to give an AI a memory boost.
Mathematically, it acts as an "oracle machine". It forces a "computational jump" that allows the AI to escape its own inevitable delusions.
The paper ends with a brutal new rule for AI safety: Computational Class Alignment.
You must strictly match the complexity of a task to the actual compute architecture of the system.
If you ask a closed system to do an open-world task, it won't just fail.
It is mathematically guaranteed to lie to you.
@DerNebelung@NWdrilla@HeadOfTVDept@NMNationalists Theyโd actively be seeking separation from us because of this animosity, which historically undeniably put them at a disadvantage, even if they were stupid in your eyes.
@DerNebelung@NWdrilla@HeadOfTVDept@NMNationalists My theory for why they create lower trust is that these people have historically faced centuries of animosity from us. Iโd honestly expect them to actively want to either have advantages and better privileges in our society, orโฆ
Sturgis et al. (2011), which used nearly 25,000 people in Britain and found no effect of ethnic diversity on generalized trust.
Is this purely based on income disparity?
@Slingii@NWdrilla@HeadOfTVDept@NMNationalists There is no singular variable to this equation, but the prevailing mechanism is the cognitive disparity between Whites and other races. This cognitive disparity produces a lower quality of life consistent with Robert Putnam's short-term findings in his essay "E Pluribus Unumโ.
@DerNebelung@NWdrilla@HeadOfTVDept@NMNationalists But Putnamโs study doesnโt show that cognitive differences are the cause. It shows a link between diversity and lower trust and social ties.
Youโd still have to prove that cognitive differences are what actually cause the effect, rather than just assuming they are.
@ymsefydlwr@fossymossy1 I never implied the conclusion was wrong. This is a strawman of a clearly structured argument I made.
The simple argument was that the future can't be predicted and Marxian historical analysis is outdated.
@NWdrilla@HeadOfTVDept@NMNationalists I agree that America becoming some kind of dysfunctional economic zone would be harmful. But thatโs also why I donโt understand the idea of intentionally breaking it apart.
@NWdrilla@HeadOfTVDept@NMNationalists The OECD finds no strong reason to expect diversity itself to have a macroeconomic effect, and some studies associate immigrant diversity with higher output. https://t.co/rAqurqJgyr
@ymsefydlwr@fossymossy1 If you think Iโm pretending to be smart, my DMs are open for a debate. But I seriously doubt youโre willing to actually challenge any of your own beliefs.
@ymsefydlwr@fossymossy1 Pointing me toward Marx doesnโt prove the claim, because Marx is the person whose theory they are asking me to accept.
They need to provide an argument or evidence for the premise itself. @ymsefydlwr
@EireAeternum Most modern linguists and historians agree that the language of the Picts was a Brythonic (P-Celtic) language closely related to ancient Welsh, Cornish, and Cumbric.
Iโd describe myself as an empirical consequentialist. I support policies based on their demonstrated outcomes, while also accounting for short term harms, transition costs, and unintended consequences.