I would imagine some productive cultural impact that’s wide spread, sticky, high retention not like ‘oh cool 3d tv or vr’ kinda thing?
Given how much ‘money’ has been burnt through the GPU heatsinks.
I would imagine some productive cultural impact that’s wide spread, sticky, high retention not like ‘oh cool 3d tv or vr’ kinda thing?
Given how much ‘money’ has been burnt through the GPU heatsinks.
Apart from people in education, a whole SEO industry has grown around LLMs and they love the newly found powers to produce spam at scale.
In business / government space people are cautiously introducing LLMs to improve productivity in the comms area where slight hallucinations or robotic corporate language are acceptable, because the final text is still produced by a human. On the customer support / sales side companies are investing money in "AI" versions of the good old phone menu trees that inevitably make you scream "I want to speak to a human" before you get connected to a human being.
Elsewhere adoption is slow, because we expect deterministic results and these are just not to be expected. I write software that interacts with LLMs via APIs and have to implement defensive coding techniques I haven't used for over a decade, because the output may switch from the requested structure at random. This makes use of structured output or function calling problematic.
Particularly o1-preview is really good at writing broad strokes mini review style articles that discuss some question you're interested in.
It only works in cases where there's a lot of text out there already that discusses the topic and that needs to be sort of remixed to answer your question specifically.
The chat format is much more efficient for this than a web search or reading a few related Wikipedia articles.
It's truly glass half full vs. glass half empty. I'm super impressed and excited about how useful this is, and yet it clearly isn't AGI.
It seems pretty clear to me that this is disruptive to most knowledge worker's workflows, even without getting into the whole discussion of how close are we to AGI and does this thing really understand anything.
It's basically Clippy done right ;)
I also used to be in disbelief, but i'm seeing more and more unexpected people use LLMs , and they even figure out how to prompt them right.
Once all outlook users have buttons to summarize, extract into, improve the email, then you have hundreds of millions using LLMs everyday.
A highly advanced content retrieval system (but lacking in accuracy, so ok for situations where that may be ok).
I wouldn't say it's revolutionary -- certainly not as revolutionary as search, but it's a major step forward in being able to retrieve information. Ultimately will allow you to interact with computers the way you see in the old Star Trek movies, where you're speaking in plain English and receiving information back in the same (providing the systems which are the source of the needed information are interconnected and fed into the training set).