Artificial Intelligence thread

MrGoose

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All this hype about LLM is just a pissing contest. There are very few practical applications of LLM.

What is more important is the use of AI in everyday applications to automate tasks. Automatic recognition and detection via vision/sensors, Autonomous driving of cars, drones and other vehicles, automatic detection of patterns of behavior and actions.

Compared to these things LLM is doing nothing useful in the world.
Automation of routine written tasks is a practical application.

You could build AI that does personalized tutoring for students, generating problem sets and solutions and adapting to a students ability.

AI to automate the creation of mundane technical writing or legal writing. The latter of which might not be worth billions of dollars in GPU time and massive data centers, but the former could revolutionize education.
 

fatzergling

Junior Member
Registered Member
All this hype about LLM is just a pissing contest. There are very few practical applications of LLM.

What is more important is the use of AI in everyday applications to automate tasks. Automatic recognition and detection via vision/sensors, Autonomous driving of cars, drones and other vehicles, automatic detection of patterns of behavior and actions.

Compared to these things LLM is doing nothing useful in the world.
LLM literally broke all previous records for natural language processing and made these models feasible to use in general situations.
 

FairAndUnbiased

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All this hype about LLM is just a pissing contest. There are very few practical applications of LLM.

What is more important is the use of AI in everyday applications to automate tasks. Automatic recognition and detection via vision/sensors, Autonomous driving of cars, drones and other vehicles, automatic detection of patterns of behavior and actions.

Compared to these things LLM is doing nothing useful in the world.
LLM's biggest application is reducing both the monetary and reputational cost of propaganda to near 0.

Now we know why it is being pursued by certain powers and why it is imperative to not fall behind.
 

AssassinsMace

Lieutenant General
I just saw this on X and the person here claims that China's Gen AI is ahead of what the U.S. have. Is there any truth to such claims?


Well they said AI needs enormous amounts of data to work accurately. In the West they're working to restrict data. In China there's no such restrictions that the West wants for themselves. Why were US politicians upset at Google working in China on AI? They automatically think it's Google that's ahead hence the alarm giving Chinese access but you need the data to refine it where China is not as restrictive as the US.

What are chat AIs, which is why the discussion on AI has gone up a level, other than what I've read described as a glorified search engine? When Chat GPT was first unveiled, it didn't take long for the competition to come out with their versions. If Chat GPT were the first, why so quickly that the competition came out with their own? Doesn't it take years to develop any kind of high technology from scratch? When you're working to develop AI, the basics are already there. It just takes someone with the initiative to make it a big deal publicly to bring attention to it. Even China has working chat AIs now because the basics were already there. Chinese don't have that kind of initiative when they already had it. What the West will brag about what they have, the Chinese probably don't think about it in those terms until someone makes a big deal about it.

Let's just remember that when AI in general was first making the news, The West's list of every country leading in all the aspects of developing AI... China was nowhere. Now it's just the US and China ahead unless you're British where they think they're No.2 behind the US. So how did they get it so wrong when all Western countries were ahead of China on AI?

Western democracies have to claim they're No.1 in everything because that's important to their citizens. If they're not, their citizens are going to vote them out of office for failing their countries. Now who is naive enough to believe Western politicians aren't capable of lying? Actually doing the work to claim to be No.1 is a whole lot hard than just saying it aka lying about it.
 

tphuang

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this is kind of interesting. Someone passed this note to me on discord
Databricks co-founder Reynold Xin: "Models are reaching size limits caused by a lack of available training data - typical runs use 20T tokens now, the size of the entire internet"

This actually would put an upper limit on the need for computation power if just used for LLM training
 

Wrought

Junior Member
Registered Member
this is kind of interesting. Someone passed this note to me on discord


This actually would put an upper limit on the need for computation power if just used for LLM training

Databricks? I remember interviewing for them a few years back. Absurdly long process, they have your regular phone screen and onsite and committee, plus a take home assignment and multiple detailed references requirement. Not worth the trouble, quite frankly.
 
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