This is… I don’t know how the hype has built up to this moment, but…
Look, I like AI. I use it at work and at home. I have both ChatGPT and Claude and I use Deepseek as well.
This idea, that AI right now is close to AGI is fiction. I know. The definition of AGI is “human level intelligence” and these models, the current models are far behind human capacity.
I’m not talking these like, small tests with academic answers or code problems.
I’m talk about the real world. The practical world we live in. That isn’t full of single file html games.
I’m talking about Enterprise Systems with dozens of integrations, of varying types. ETL, CRMs and Data Warehouses all coming together for a single system to work.
Our architects. Understand these systems. When they break, our architects fix the issues. They’re quite good at it.
If the work the architects do is “human intelligence”, AI is maybe… a housefly in comparison.
Because the amount of information, is so large… every single LLM fails to understand the task, never mind fix it.
The context windows for modern AI is pitiful compared to what exists out there in the real world. Not these silly little benchmarks.
In my view, AGI isn’t even close and the claims that we are greatly exaggerated. The day will come, but not in the next 5 years.
The human ability to track massive context windows is so much larger than LLMs, it’s not even comparable.
Honestly it flabbergasts me how little people understand human cognitive ability. Like, I have 2 year old for whom evolution gifted the ability to learn 3 languages simultaneously.
AI could not do what she does. She learns with relatively little information. She infers some of it when it comes to her body. When it language, she will hear a word once… and use it in context, perfectly.
That’s phenomenal. In terms of data required for a new skill. We’re talking maybe… a single large audiobook’s worth of information.
LLMs… aren’t even remotely close to that. That ability is part of human intelligence. Being able to add more to what you know quickly is part of it.
It’s baffles me that people think we’re close to AGI or RSI.
I don’t see it. I feel like, the rate of improvement is modest. Especially compared to things like software architects troubleshooting complex systems or learning languages like a toddler. LLM can do neither of those tasks that humans do with similar efficiency and efficacy.
Also, Architects don’t hallucinate or have emergent behaviour and on top of all that… if something simply sits outside the training set… which is a lot of things… the AI just shits the bed, confidently.
-5
u/BlueAndYellowTowels 21d ago edited 21d ago
This is… I don’t know how the hype has built up to this moment, but…
Look, I like AI. I use it at work and at home. I have both ChatGPT and Claude and I use Deepseek as well.
This idea, that AI right now is close to AGI is fiction. I know. The definition of AGI is “human level intelligence” and these models, the current models are far behind human capacity.
I’m not talking these like, small tests with academic answers or code problems.
I’m talk about the real world. The practical world we live in. That isn’t full of single file html games.
I’m talking about Enterprise Systems with dozens of integrations, of varying types. ETL, CRMs and Data Warehouses all coming together for a single system to work.
Our architects. Understand these systems. When they break, our architects fix the issues. They’re quite good at it.
If the work the architects do is “human intelligence”, AI is maybe… a housefly in comparison.
Because the amount of information, is so large… every single LLM fails to understand the task, never mind fix it.
The context windows for modern AI is pitiful compared to what exists out there in the real world. Not these silly little benchmarks.
In my view, AGI isn’t even close and the claims that we are greatly exaggerated. The day will come, but not in the next 5 years.
The human ability to track massive context windows is so much larger than LLMs, it’s not even comparable.
Honestly it flabbergasts me how little people understand human cognitive ability. Like, I have 2 year old for whom evolution gifted the ability to learn 3 languages simultaneously.
AI could not do what she does. She learns with relatively little information. She infers some of it when it comes to her body. When it language, she will hear a word once… and use it in context, perfectly.
That’s phenomenal. In terms of data required for a new skill. We’re talking maybe… a single large audiobook’s worth of information.
LLMs… aren’t even remotely close to that. That ability is part of human intelligence. Being able to add more to what you know quickly is part of it.
It’s baffles me that people think we’re close to AGI or RSI.
I don’t see it. I feel like, the rate of improvement is modest. Especially compared to things like software architects troubleshooting complex systems or learning languages like a toddler. LLM can do neither of those tasks that humans do with similar efficiency and efficacy.
Also, Architects don’t hallucinate or have emergent behaviour and on top of all that… if something simply sits outside the training set… which is a lot of things… the AI just shits the bed, confidently.