<!-- SC_OFF --><div class="md"><p>I am trying to understand the current consensus and legal landscape regarding how public data and developer contributions are being utilized by
<!-- SC_OFF --><div class="md"><p>I’m trying to understand why models from major labs (GPT, Claude, etc.) dominate real-world usage? You might say it's due to the expensive
<!-- SC_OFF --><div class="md"><p>I’m curious how companies make the tradeoff between building their own AI models vs just using APIs like OpenAI or Anthropic. </p> <p>Is it
<!-- SC_OFF --><div class="md"><p>(AI Was not used for generating the below post)</p> <p>I've been developing with AI for over 3 1/2 years now, my AI DM setting operation which
<!-- SC_OFF --><div class="md"><p>Long time Claude Opus user, but after the recent session limit changes by Anthropic, I am seriously considering trying Chinese models for coding.
<!-- SC_OFF --><div class="md"><p>Just went through a Stanford paper that tracked 51 actual AI deployments - not surveys or sentiment polls, real production systems across 41
<!-- SC_OFF --><div class="md"><p>As you are aware or you suppose to know AI is quite dangerous tool / .... weapon.</p> <p><a
<!-- SC_OFF --><div class="md"><p>I am in neither of these countries, but I had a thought where all the businesses that I know rely on US closed sourced AI and also a handful of
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