6 ms·

Claude 3.5 is an absolute revelation. Its writing is very humanlike, and the new “artifacts” window is a fantastic UX improvement. It has completely replaced GP

Claude 3.5 is an absolute revelation. Its writing is very humanlike, and the new “artifacts” window is a fantastic UX improvement. It has completely replaced GPT-4o for me in every use case.

MrMan 2y ago
[dead]
indigodaddy 2y ago
How/where can you use it for free? Code editor plugins etc too?
- didgeoridoo 2y ago
  I don’t. I canceled my OpenAI subscription and shifted that $20/mo over to Anthropic.
  - brylie 2y ago
    I would gladly do that too if Claude supported voice-to-text prompting like Whisper. I use ChatGPT around town and can’t always type easily. That and it is easier for me to speak stream-of-consciousness than slowly typing my thoughts. Typing is a significant bottleneck.
    - AJSDfljff 2y ago
      Whats your usage? The 'around town' triggered me to ask :)
      - brylie 2y ago
        All sorts of things. I’m often thinking of ideas while walking or riding the bus. For example, I make plans for an English discussion group I’m facilitating while walking to the class. Or I’ll iterate on software project ideas as they come to mind, like creating design documents, GitHub issues, etc. Another use case is for live translation where I speak English to ChatGPT and it translates the output to various languages. Then, I show the translation to the other person and let them speak their response for ChatGPT to translate. The interesting thing is somehow Whisper translates the foreign language back to English when it returns the transcribed text, so I don’t need to submit that text to ChatGPT. This live translation of spoken conversations is a really important feature particularly since I interact with many people with varying degree of English proficiency speaking many languages (namely, Russian, Suomi, Czech, and Farsi.)
- lgas 2y ago
  Right at https://claude.ai/ https://claude.ai/
genewitch 2y ago
can you ask claude to build a python program that uses multiple processes/threads to check the collatz conjecture for N numbers, where N is however many "vCPU" you want to use; and paste that somewhere? It doesn't even need to do the timestamping/benchmarking that my singlethreaded does, but i couldn't make 4o nor any local LLM give code that gave correct output when run. This is by far the most trivial and easily checked thing i can personally verify.
- lgas 2y ago
  https://claude.site/artifacts/e38182c3-840a-44ae-bc5a-8c2bb76a4925 https://claude.site/artifacts/e38182c3-840a-44ae-bc5a-8c2bb7... Output: % python /tmp/collatz.py Number of vCPUs available: 12 Checked Collatz conjecture for numbers 1 to 1000000 Number with longest sequence: 837799 Length of longest sequence: 525 Time taken: 2.08 seconds python /tmp/collatz.py 19.47s user 0.41s system 728% cpu 2.731 total
  - genewitch 2y ago
    that's good, i can consider paying for that service... I'll have to check the actual results, of course, but that's much cleaner than what all the other LLMs output
    - GistNoesis 2y ago
      There is a bug : N = 1000000 # Total numbers to check chunk_size = N // num_vcpus tasks = [(i * chunk_size + 1, (i + 1) * chunk_size) for i in range(num_vcpus)] When num_vcpus = 12, chunksize = 83333, and 12*chunk_size = 999996, therefore we don't check the last four numbers.
      - genewitch 2y ago
        that's okay because that N=1000000 line wasn't part of the spec but at least allowed me to run it as is without loading the rest of the stuff i test.
  - 2y ago

Claude 3.5 is an absolute revelation. Its writing is very humanlike, and the new “artifacts” window is a fantastic UX improvement. It has completely replaced GPT-4o for me in every use case.

MrMan 2y ago

[dead]

indigodaddy 2y ago

How/where can you use it for free? Code editor plugins etc too?

didgeoridoo 2y ago
I don’t. I canceled my OpenAI subscription and shifted that $20/mo over to Anthropic.
- brylie 2y ago
  I would gladly do that too if Claude supported voice-to-text prompting like Whisper. I use ChatGPT around town and can’t always type easily. That and it is easier for me to speak stream-of-consciousness than slowly typing my thoughts. Typing is a significant bottleneck.
  - AJSDfljff 2y ago
    Whats your usage? The 'around town' triggered me to ask :)
    - brylie 2y ago
      All sorts of things. I’m often thinking of ideas while walking or riding the bus. For example, I make plans for an English discussion group I’m facilitating while walking to the class. Or I’ll iterate on software project ideas as they come to mind, like creating design documents, GitHub issues, etc. Another use case is for live translation where I speak English to ChatGPT and it translates the output to various languages. Then, I show the translation to the other person and let them speak their response for ChatGPT to translate. The interesting thing is somehow Whisper translates the foreign language back to English when it returns the transcribed text, so I don’t need to submit that text to ChatGPT. This live translation of spoken conversations is a really important feature particularly since I interact with many people with varying degree of English proficiency speaking many languages (namely, Russian, Suomi, Czech, and Farsi.)
lgas 2y ago
Right at https://claude.ai/ https://claude.ai/

genewitch 2y ago

can you ask claude to build a python program that uses multiple processes/threads to check the collatz conjecture for N numbers, where N is however many "vCPU" you want to use; and paste that somewhere? It doesn't even need to do the timestamping/benchmarking that my singlethreaded does, but i couldn't make 4o nor any local LLM give code that gave correct output when run. This is by far the most trivial and easily checked thing i can personally verify.

lgas 2y ago
https://claude.site/artifacts/e38182c3-840a-44ae-bc5a-8c2bb76a4925 https://claude.site/artifacts/e38182c3-840a-44ae-bc5a-8c2bb7... Output: % python /tmp/collatz.py Number of vCPUs available: 12 Checked Collatz conjecture for numbers 1 to 1000000 Number with longest sequence: 837799 Length of longest sequence: 525 Time taken: 2.08 seconds python /tmp/collatz.py 19.47s user 0.41s system 728% cpu 2.731 total
- genewitch 2y ago
  that's good, i can consider paying for that service... I'll have to check the actual results, of course, but that's much cleaner than what all the other LLMs output
  - GistNoesis 2y ago
    There is a bug : N = 1000000 # Total numbers to check chunk_size = N // num_vcpus tasks = [(i * chunk_size + 1, (i + 1) * chunk_size) for i in range(num_vcpus)] When num_vcpus = 12, chunksize = 83333, and 12*chunk_size = 999996, therefore we don't check the last four numbers.
    - genewitch 2y ago
      that's okay because that N=1000000 line wasn't part of the spec but at least allowed me to run it as is without loading the rest of the stuff i test.
- 2y ago