An AI leaderboard suggests the newest reasoning models used in chatbots are producing less accurate results because of higher hallucination rates. Experts say the problem is bigger than that
This is why AGI is way off and any publicly trained models will ultimately fail. Where you’ll see AI actually be useful will be tightly controlled, in house or privately developed models. But they’re gonna be expensive and highly specialized as a result.
I’d go further: you won’t reach AGI through LLM development. It’s like randomly throwing bricks on a construction site, no cement, and hoping that you’ll get a house.
I’m not even sure if AGI is cost-wise feasible with the current hardware, we’d probably need cheaper calculations per unit of energy.
This is why AGI is way off and any publicly trained models will ultimately fail. Where you’ll see AI actually be useful will be tightly controlled, in house or privately developed models. But they’re gonna be expensive and highly specialized as a result.
I’d go further: you won’t reach AGI through LLM development. It’s like randomly throwing bricks on a construction site, no cement, and hoping that you’ll get a house.
I’m not even sure if AGI is cost-wise feasible with the current hardware, we’d probably need cheaper calculations per unit of energy.
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AGI is just a term used for VC and shareholders.