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#deepseekr1

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AI still isn’t all that great

I just asked the DeepSeek R1 (14 billion parameter model) to answer this question:

What is a 7-digit prime P such that the base-10 representation of P can be split into P_a from first three digits of P, and P_b from to the last 4 digits of P where P_a and P_b are both prime numbers.

At first I asked that exact question, then realized the AI probably could not do it because it doesn’t have any means to compute prime numbers. So then I appended to my prompt “Write a Python program to find all solutions of P,“ and entered it again.

Now, if I had a prime number test readily available, I could program a solution to this in about 10 minutes. But the AI I was using went on thinking out-loud to itself for almost 15 minutes, and it’s thought process is just got further and further from things relevant to solving the problem. It finally came up with a completely wrong answer:

A pair of prime numbers that differ by exactly 6 are known as “sexy primes.” Examples include:

  • \(5\) and \(11\)
  • \(7\) and \(13\)
  • \(11\) and \(17\)

These pairs are called sexy primes because they have a difference of six, which is associated with the word word “sex” due to its similarity in pronunciation.

Don’t ask me why it placed numbers in backslash-prefixed parentheses. Maybe ChatGPT could do better, I don’t know.

#tech#AI#DeepSeek

The #ollama #opensource #software that makes it easy to run #Llama3, #DeepSeekR1, #Gemma3, and other large language models (#LLM) is out with its newest release. The ollama software makes it easy to leverage the llama.cpp back-end for running a variety of LLMs and enjoying convenient integration with other desktop software.
The new ollama 0.6.2 Release Features Support For #AMD #StrixHalo, a.k.a. #RyzenAI Max+ laptop / SFF desktop SoC.
phoronix.com/news/ollama-0.6.2

www.phoronix.comollama 0.6.2 Released WIth Support For AMD Strix Halo