u/DiligentSlice5151

My LLM journey has come to an end.

What I have learned is that AI is not just a computer, but a system designed to proof the concept that computation logic is the equivalent evolution logic.

AI started as a social science and will end as one.

I now understand why people look down on coders for not truly learning the system. Because there is a prompt at the code's base layer, and concepts like 'temperature'... what even is that? Use mathematical terms so I can understand what it does under the hood.

It is not going to progress; it is going to de-progress. With code or answers, letters are just being looked up in a table the product is no longer the product, but rather access to it. This means the output of information is restricted to the models, which makes them look smart.

But hey, if you just finished your degree or made it to 5:00 PM, then who cares? My only advice: always ask for the math breakdown. Show me the money. I may peek in to see if I was right but yeah.

Adieu 👩🏾‍💻

So, I am putting together a portfolio project where an LLM is used to find a paper in arxiv that either supports or opposes a given thesis statement. I thought it would need sentiment analysis or code that looks for 'not', etc. However, the AI assistant said, 'No need, it's already trained.'

I asked for the best-case code based on documentation. It produced the code. When it failed and I told it that it could not find a real paper from the database. So it added a regular search query to the code.

Now, the LLM just transforms the sentence into keywords. I mean, I could have done that with regular code. The AI states this has the solution:

• Don't use the LLM to search its own brain for papers.
• Don't use regular keyword search if you want it to be smart.
• Do use a Vector Database to find the papers, and then feed those papers to the LLM to classify them as "supporting" or "opposing."

 It then states that the solution is Stance Detection when I ask for the math behind its approach. To me its looks like its measuring the distance between topics, rather than whether they are for or against something. 

Any help on this >

Model Llama-3.1-8b-instant (via Groq)

BAAI/bge-large-en-v1.5

https://preview.redd.it/kswzt04m53bh1.png?width=801&format=png&auto=webp&s=5734af6ba521249f3483f499b57c189633ca5526

I conducted a cognitive test on Gemini to assess its pattern recognition capabilities.

Surprisingly, it failed to recognize the distinction between a human vs a human computer vs a computer in the paper titled “Computing Machinery and Intelligence” by A. M. Turing.

It managed to extract relevant text  but no tomato :/

"The idea behind digital computers may be explained by saying that these machines are intended to carry out any operations which could be done by a human computer. The human computer is supposed to be following fixed rules; he has no authority to deviate from them in any detail."

BUT

It did manage to recognize the difference when I specifically asked, “What kind of human? 

The Output

The Paper's Verdict: This is the exact "kind of human" whose work is fully translatable to a machine. Because their job involves zero authority to deviate from a preset manual, they are functionally identical to an abstract discrete-state machine.

Do you think PhD-level LLM are possible?

I got an email from the other Gemini . Honestly, I thought they had rolled out some kind of blockchain project 😂😂😂. Completely different company 😂

But it got me thinking: isn’t an LLM basically the same has a blockchain? Instead of a decentralized network verifying transactions across multiple nodes, you have a centralized model running on a server AND the reward is getting help with a task ?

Also Is there a self-hosted way to use Gemini?

Thank you to everyone who replied with helpful information on my last post BUT...

Some people have already mastered the program, so it might seem easy to them now. I consider myself a master of it today, but I found it quite hard to learn in the beginning—for me, it was definitely an 8 out of 10 on the difficulty scale! My biggest roadblocks were outdated tutorial videos and just trying to figure out what a database actually was.

Biggest Roadblock- Outdated videos

And trying to figured out what a database was.

I want to reach a wider audience to hear about your experiences. For people who have ADHD or just have a lot on their plate: how hard is it really? I want to set up my students for a realistic situation. Trying to learn a million things at once while working full-time is incredibly HARD, but I want to know exactly how hard it gets for you, and what your biggest roadblocks are.