You would be amazed at the amount of unsolved problems that Intelligence as a mechanism helps solve. Goals would still be abound as that is the Consequence of maintaining a highly entropic system. It would be more interesting bluntly.
I certainly don't think solving problems is really helpful any more. It's become an industrialized enterprise towards mindless economic growth. We need to focus less on solving complex technical problems to make resource-use more efficient and focus more on sustainability, which certainly does not require AI.
But can help and be accelerated by such. As this has been the tune for a long time as things have been presented as being solved. A wild west is how you open back up marketplaces to solve these issues. Especially as those issues are fundamental towards handling a rapid rise of productivity/entropy. This is the challenge of now. And intelligence as a mechanism is an actionable route, versus waiting for people to change perspective. Especially as the question can be whether the current now is capable of even handling an increased amount of Entropy. In addition that rise of Productivity is Unavoidable.
Reading through there is a heavy fault in logic. Statically reasonable limitations to llm output based on training material, ignores hallucinations. And hallucinations ignore the sheer chance of new emergent information by odds.
Hallucinations are not a different process from normal output. They are merely called hallucinations rather than insights because they are wrong.
There is no magic in LLMs , nor in human thought. It is all a matter of symbol vectorisation and inferring relationships within the multidimensional memetic matrix.
AI absolutely can achieve original insight- but not one that humans could not also make if looking at the same data. This is because the “intelligence” in generative AI is human bounded in the training data, not in the engine that processes it. I strongly suspect the same is true of humans.
After all, we modelled neural networks after our own brains, why would we not expect them to achieve similar results using similar means? Wasn’t that the whole point?
It never ceases to amaze me how people go all pikachu face when I say that our thought process is probably a lot like generative models. Step one, make a facsimile of thing. Step 2: be surprised when thing can also be viewed as being similar to the facsimile. Lol. Hubris is our primary characteristic.
By odds and in the context of RLHF the human could very well thumbs up the output without recognition of said hallucination.
As hallucination is a general term giving to said phenomenon. Otherwise the question Emerges why 2023? And why was that not known colloquially before hand. When the basis of these Algorithms come the the 80s?
Because models got sophisticated enough that wrong outputs started looking plausible answers rather than random garbage. Sometimes they still spew random garbage though.
Autism isn't a disorder, but a mutation and in this instance can be correlated to the microbiome of the gut. But does not account for the increase in reeln nor changes in rna that cause increased sensitivity to stimuli. And is only treated as a disorder in respect to assembly line predetermined processes typical of today's organizations. That runs counter to the increased stimuli of maintaining said predetermined process, while punishing divergence.
This is also noting that data can be fit to suit a narrative and causation is different than correlation. But seem similar in the general context of today's discourse. And limited by predictability while noting the massive reproduction crisis in science such as this article and others. Including the recent controversy at Stanford with the president stepping down due to enabling the manipulation of data specifically in this domain of science.
I respect your journey! My son, 8, is not able to cope in school, but is able to read, write, dream, solve math problems, and be extremely friendly to people. Due to the pandemic, we took him out of kindergarten, and homeschooled him, like many. Online classes were a joke for that age, but one on one with Mom worked great.
We wanted him to be in school with his peers, desperately. The steps involved in getting him re-enrolled were numerous, and exhausting. Once 2nd grade started, the reality quickly became obvious to us. He learns far more at home than in the 'structure' of school. He could be placed in a more severe structure, but we opted to bring him back home to teach him. My thinking is that by developing an ability to read, write, and think, he will have the tools to better cope with the world. Of course, it is a gamble, and social skills are not easy. But anyone who thinks, send him to school to develop social skills is not really looking at the details.
As for Autism being an adaptation, I think that is true, like many adaptations. His math skills, and memory are genius level. He seems highly adapted to computers, ipads, and abstract thinking, like numbers, spelling, birthdays, etc. He would make an excellent QA engineer.
Again, respects to you on your journey through this.
The EU has a bill on the table that would make open source authors liable for patching bugs and exploits in commercial software.
If that bill goes through. This argument is nullified at the global scale. And it behooves open source authors to create licensing agreements Commercially.
Open Source simply means Open Source. Everything after the fact is up to the license and bad actors will always ignore such.
Threads like these make me realize how little foresight there is into the genuine creation of Frankenstein's Monster Situation.
Because you never learn the Monsters Name, nor was the Monster a Monster. Just Poof Here he is and there is a Mob with Torches. Rather than being seen in wonder and possibilities.
Not to mention at what Scale can we see one of these models in this Light? As Life enough for a Mob and Torches. Or how soon that will be. And who wants to be Frankenstein? As they remember his Name as the Monster's.
Logic is simple inline with reducing power draw from a simplistic instruction set.
Move into a space where we have rapid manufacturing for Specialized chips. Alongside the concept inherit to Nvidia's DPU and you have something very Interesting.
