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The GPT Era Is Already Ending (www.theatlantic.com)
submitted 1 week ago* (last edited 1 week ago) by [email protected] to c/technology
 

If this is the way to superintelligence, it remains a bizarre one. “This is back to a million monkeys typing for a million years generating the works of Shakespeare,” Emily Bender told me. But OpenAI’s technology effectively crunches those years down to seconds. A company blog boasts that an o1 model scored better than most humans on a recent coding test that allowed participants to submit 50 possible solutions to each problem—but only when o1 was allowed 10,000 submissions instead. No human could come up with that many possibilities in a reasonable length of time, which is exactly the point. To OpenAI, unlimited time and resources are an advantage that its hardware-grounded models have over biology. Not even two weeks after the launch of the o1 preview, the start-up presented plans to build data centers that would each require the power generated by approximately five large nuclear reactors, enough for almost 3 million homes.

https://archive.is/xUJMG

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[–] [email protected] 47 points 1 week ago (8 children)

I’ve been playing around with AI a lot lately for work purposes. A neat trick llms like OpenAI have pushed onto the scene is the ability for a large language model to “answer questions” on a dataset of files. This is done by building a rag agent. It’s neat, but I’ve come to two conclusions after about a year of screwing around.

  1. it’s pretty good with words - asking it to summarize multiple documents for example. But it’s still pretty terrible at data. As an example, scanning through an excel file log/export/csv file and asking it to perform a calculation “based on this badge data, how many people and who is in the building right now”. It would be super helpful to get answers to those types of questions-but haven’t found any tool or combinations of models that can do it accurately even most of the time. I think this is exactly what happened to spotify wrapped this year - instead of doing the data analysis, they tried to have an llm/rag agent do it - and it’s hallucinating.
  2. these models can be run locally and just about as fast. Ya it takes some nerd power to set these up now - but it’s only a short matter of time before it’s as simple as installing a program. I can’t imagine how these companies like ChatGPT are going to survive.
[–] Retro_unlimited 1 points 1 week ago

I run local AI using a program called “GPT4All”. It’s free, you can Download several models.

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