Row 53458
Content Data
This page contains data entry 53458 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Only that the benchmarks themselves are a reflection of the human intellect. I’m usually not that much intimidated by marketing reels, but I do see systemic shifts happening in real time and large corps putting everything they‘ve got into it to stay relevant. that‘s waaaayy beyond PR. also, gpt-4 is said to have around 1.7 trillion parameters, not 7. with the native integration of modalities other than text, we‘re already leaving the time of single purpose LLMs. Human language is just one puzzle piece. LLMs themselves might reach some kind of practical limit, but it‘s really just one modality. This whole thing is not about LLMs, it‘s about the convergence of the underlying tech with what other good stuff we can come up with. Nobody‘s claiming LLMs will be enough to reach AGI. That‘s just a foolish thing to say.
edit: see, I‘m not arguing the existence of the pattern of diminishing returns, but the minuscule scale you are using it as an argument for. you are off, by a long shot.
| Field | Value |
|---|---|
| text | Only that the benchmarks themselves are a reflection of the human intellect. I’m usually not that much intimidated by marketing reels, but I do see systemic shifts happening in real time and large corps putting everything they‘ve got into it to stay relevant. that‘s waaaayy beyond PR. also, gpt-4 is said to have around 1.7 trillion parameters, not 7. with the native integration of modalities other than text, we‘re already leaving the time of single purpose LLMs. Human language is just one puzzle… |
| label | r/openai |
| dataType | comment |
| communityName | r/OpenAI |
| datetime | 2024-05-22 |
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Raw Record
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"text": "Only that the benchmarks themselves are a reflection of the human intellect. I’m usually not that much intimidated by marketing reels, but I do see systemic shifts happening in real time and large corps putting everything they‘ve got into it to stay relevant. that‘s waaaayy beyond PR.\nalso, gpt-4 is said to have around 1.7 trillion parameters, not 7.\nwith the native integration of modalities other than text, we‘re already leaving the time of single purpose LLMs. Human language is just one puzzle piece.\nLLMs themselves might reach some kind of practical limit, but it‘s really just one modality. This whole thing is not about LLMs, it‘s about the convergence of the underlying tech with what other good stuff we can come up with. Nobody‘s claiming LLMs will be enough to reach AGI. That‘s just a foolish thing to say.\n\nedit: see, I‘m not arguing the existence of the pattern of diminishing returns, but the minuscule scale you are using it as an argument for. you are off, by a long shot.",
"label": "r/openai",
"dataType": "comment",
"communityName": "r/OpenAI",
"datetime": "2024-05-22",
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}
Entry Information
- Entry ID: 53458
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000