Row 36588
Content Data
This page contains data entry 36588 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
They will definitely squeeze out better results from what they have, but I’d reckon even that max headroom comment is only fractional improvements. It’s also worth remembering the massive compute, data, and power costs for increased returns.
With multimodal, again, it’s just more tokens. That’s great, but it’s still tweaking weights. It will definitely improve things quite a bit and probably open more use cases with multimodal generation. Exciting stuff, to be sure.
I’m not trying to downplay any of this, it’s all amazing that we’re even talking about it seriously and it’s insanely impressive. But people trying to extrapolate what we have now to AGI or a model with anything resembling agency or mass loss of information jobs are smoking the glass pipe. We’ve seen the quantum leap for now and will probably be waiting a minute for the next one, and it will be as novel and out of left field as this one was. They’ve played their full hand and now everything else is just hype and salesmanship.
| Field | Value |
|---|---|
| text | They will definitely squeeze out better results from what they have, but I’d reckon even that max headroom comment is only fractional improvements. It’s also worth remembering the massive compute, data, and power costs for increased returns. With multimodal, again, it’s just more tokens. That’s great, but it’s still tweaking weights. It will definitely improve things quite a bit and probably open more use cases with multimodal generation. Exciting stuff, to be sure. I’m not trying to downpla… |
| label | r/openai |
| dataType | comment |
| communityName | r/OpenAI |
| datetime | 2024-05-21 |
| username_encoded | Z0FBQUFBQm5Lak1KM3VkM2dFbHVROUkxUXZiOE1nSUd5NzNlQUVLaFY5ZERzX2s4ZWstZWRmbk43ZnA5eTlZaG1MclBvNDdCenUtdE9iZHRyUXMxNDMzSkRuR1d1ZVNkNUE9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9aamJlNXZGTGlQQmVfSHVlblFkb0J5TGRlRTFnVGxyQXl6VUZOdDJnRU9hanJrNktDeDBGQlpDQVVnX0x0dThZR3hoTHVUNTFTU2RQQkFHcmZDczktdDVJMEdQWkZMajVDNndGUFBQZzFXX3JSdk5EbkpOckptUHV2c1lyc2xBSkVETEQtTGYyYmhyWFQ1dlFmdURrRlU5OXU1VUtRUWpDSTFFZWJGaG1PZGpDQVktNnBFYjdVajlic1dtYl9pS0tf |
Raw Record
{
"text": "They will definitely squeeze out better results from what they have, but I’d reckon even that max headroom comment is only fractional improvements. It’s also worth remembering the massive compute, data, and power costs for increased returns. \n\nWith multimodal, again, it’s just more tokens. That’s great, but it’s still tweaking weights. It will definitely improve things quite a bit and probably open more use cases with multimodal generation. Exciting stuff, to be sure. \n\nI’m not trying to downplay any of this, it’s all amazing that we’re even talking about it seriously and it’s insanely impressive. But people trying to extrapolate what we have now to AGI or a model with anything resembling agency or mass loss of information jobs are smoking the glass pipe. We’ve seen the quantum leap for now and will probably be waiting a minute for the next one, and it will be as novel and out of left field as this one was. They’ve played their full hand and now everything else is just hype and salesmanship. ",
"label": "r/openai",
"dataType": "comment",
"communityName": "r/OpenAI",
"datetime": "2024-05-21",
"username_encoded": "Z0FBQUFBQm5Lak1KM3VkM2dFbHVROUkxUXZiOE1nSUd5NzNlQUVLaFY5ZERzX2s4ZWstZWRmbk43ZnA5eTlZaG1MclBvNDdCenUtdE9iZHRyUXMxNDMzSkRuR1d1ZVNkNUE9PQ==",
"url_encoded": "Z0FBQUFBQm5Lak9aamJlNXZGTGlQQmVfSHVlblFkb0J5TGRlRTFnVGxyQXl6VUZOdDJnRU9hanJrNktDeDBGQlpDQVVnX0x0dThZR3hoTHVUNTFTU2RQQkFHcmZDczktdDVJMEdQWkZMajVDNndGUFBQZzFXX3JSdk5EbkpOckptUHV2c1lyc2xBSkVETEQtTGYyYmhyWFQ1dlFmdURrRlU5OXU1VUtRUWpDSTFFZWJGaG1PZGpDQVktNnBFYjdVajlic1dtYl9pS0tf"
}
Entry Information
- Entry ID: 36588
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000