@troed exactly what we do with human beings. You or I have no way of ever proving that other humans are conscious. We just infer it from their behaviour and responses.
If we produce a super-LLM or what ever the acronym will be that produces the breakthrough, and then imagine that it will be installed in a human body, and if no one will tell the difference, it naturally follows that it is conscious, if its behaviour is convincing enough.
@troed Taking this one step further, imagine the day, post-LLM, perhaps when the next big breakthrough has been made in 4-5 years time, when you have an "AI" that has volition, values, a life instinct.
Coupling that, the ability to initiate conversation and the ability to make value judgments and to independently come up with its own goals, with the LLM "chating" skills, and we basically have no choice but to acknowledge it as conscious.
Why?
Because of how it would act. After all, this is
@troed I have argued for a long time that the words, which are a reflection of our experience in the world, is a transitive relationship, and that we therefore _can_ say that an LLM knows what pizza tastes like, since it has inherited this from our texts it has been trained on.
Thinking about this, in the context of the classic turing test, it is obvious that this is so, if we constrain ourselves to text based communication.
So this is apparently needed.
Dear Mastodon,
While we all say "AI" regardless of whether we're talking about text, audio, images or video these are not all using the same underlying technology*.
Large Language Models, LLMs, use a technology known as Transformers. They "got smart" beginning in 2017 when a paper named "Attention is all you need" was published by Google. One way of describing LLMs is that by caring for everything that comes before, you can perform the next step.
Audio, Images and Video mostly use a technology called Diffusion which began in 2015 but became noticable better in quality with CLIP from 2021. That technology can be said to work by starting with noise and then seeing whether any changes you make cause an evaluation to be more or less what you want in the end.
LLMs do not want to store training data in the models because that means they're less smart. Knowing the answer to a question is useless - knowing how to get to the answer is valuable. Diffusion models however don't have a problem with this. Knowing what a rose looks like is knowing what a rose looks like. Knowing what a Dali painting looks like ... yeah you get it.
What has been a bit shocking to everyone is that LLMs turned out to be generally useful and not just language engines. While the intention was for them to understand text, produce text and reliably translate between languages, it seems that by using text to encode knowledge about the world we also got engines that could "think" and "reason" about the world - and that has over the last year or so caused an explosion in LLM usage in, for example, software development.
This was not something first dreamed up by commercial entities wanting to sell products - but by curious programmers wanting the Next Great Tool. If there's one thing us programmers are it's _lazy_. If we can automate a task we will.
*) Yes I'm taking a shortcut. There are overlapping areas, but the point still holds.
@shortstories in mind, that the rest can be inferred, but not conclusively be proven.
@shortstories This is obvious. Scientists cannot _empirically_ prove the big bang. It can be inferred based on background radiation and other measurements. At the end of the day, it is a theory with a high probability. In fact, high enough, so that people tend to say it is a "fact".
The same goes for the multiple worlds of quantum physics. It can never be proven, and it can never be falsified.
The key to scientific sanity is empirical evidence, and keeping
@sun Jordan Peterson grew old and sick, from being the target of the worlds socialist and militant feminist hate. Lesser beings moved in and corrupted it.
Love the feedback I'm getting on the ST:TNG voice interface clone :) As an FYI, I've taken up the old IRC-practice of idling in a channel for anyone who'd want to discuss that or other local LLM projects.
Although nowadays I do prefer #Matrix to IRC: https://matrix.to/#/#LocalLLaMa:argot.se
@troed Sadly I cannot buy a jolla, since they don't answer questions. But perhaps, once Ubuntu touch is available for the Fairphone 6, I might be able to get an answer from them.
"Hidden debt at U.S. tech giants swelled eightfold in roughly four years to an estimated $1.65 trillion as artificial intelligence investments ballooned, a Nikkei study shows, exceeding actual debt and making it tougher for investors to assess risk.
Nikkei examined recent financial statements and other materials from Google owner Alphabet, Microsoft, Amazon, Meta and Oracle. The four companies aside from Oracle are scheduled to announce their second quarter earnings from Wednesday, meaning the figures may increase further.
The five companies' hidden debt, which does not appear on balance sheets, totaled $1.65 trillion in the most recent quarter, exceeding the roughly $1.35 trillion in debt reflected on their balance sheets. The data includes some estimates.
Meta's off-balance-sheet debt is particularly high at about $420 billion, nearly triple its recorded debt.
These companies are rapidly bolstering their data centers and other computing resources to power AI development, and are entering into long-term purchase agreements for graphics processing units (GPUs) and servers.
Constructing data centers requires investment in the billions or even tens of billions of dollars."
@remixtures Please AI bubble, can't you pop soon? I'm getting so tired of the acronyms "AI" and all the hypegasm. 🙏
@troed Haha. Be careful! 😂
@elston_ @truthbait @amerika I have no need of judging. I read the book and put my trust and faith in the lord. Do you? Or could it be that your arguments and judging shows a deeper uncertainty inside yourself about your faith and connection to our lord and saviour? Repent!
@elston_ @amerika @truthbait Who are you to judge the inner sanctum of his heart? His relationship is between him and god.
For being a christian, I have seldom encountered someone who is as keen on judging others and their relationship with our lord and saviour as you! 😎 ✝️ 🇺🇸
Woe unto you! Judge not, and you shall not be judged!
Repent sinner!
Jesus teaches us that love is the highest law. You must humble yourself! 🙏
@elston_ @truthbait @amerika I do not need a vision, I just read the word of god, and it is clearly stated there. All we need to do is to follow the word, and the rest is up to god! ✝️ 🇺🇸
Äntligen! Nytt personbästa på abborre, 0.7 kg, vilket kanske låter lite, men inte i mina mörka insjöar. Där är det en jätte!
Som jag har jobbat under sommaren. Testat nya sjöar, nya ställen, jagat genom djungler på jakt efter nya fiskeställen o.s.v.
Och var tar den?
Så klart när jag fiskar från bryggan på badplatsen!
Ödets ironi!
Nåja, imorgon blir det stekt abborre till middag! =)
Den fångades 21:00, på mete med räka med sink n' draw metoden.