Funny:
Quote from: reddit.com/r/LocalLLaMA/comments/1x52lsb/new_ai_fake_text_generator_may_be_too_dangerous/"New AI fake text generator may be too dangerous to release, say creators" (2019 Guardian headline)
"OpenAI ... says its new AI model, called GPT2 is so good and the risk of malicious use so high that it is breaking from its normal practice of releasing the full research to the public in order to allow more time to discuss the ramifications of the technological breakthrough."
[..]
By today's local AI model standards this is not even laughable and we are still here.
Which models are we talking about? For up to 40B, see e.g.:
artificialanalysis.ai/models/open-source/small#artificial-analysis-intelligence-index
More about running AI models locally (and privately): notebookchat.com/index.php?topic=315954.0 ("Your own ChatGPT, offline: AI without the cloud on your laptop") and comments.
These ~30B parameters models, that you can run locally on 32 GB RAM + 8 GB VRAM, are no joke:
Quote from: reddit.com/r/LocalLLaMA/comments/1x4cm73/once_again_anthropic_doing_free_marketing_for/Once again anthropic doing free marketing for open weight models
Models of 30B parameters and under can already complete many of the individual steps for replication today, though they make mistakes when composing them end to end. In our simplified evaluations, GLM-5.2 and stronger models are capable of end to end replication. If small models improve at their historical rate, they'll match this capability level by the end of this year. Small weight-based replicators may be possible soon after.
And the top rated comment from that reddit post is:
Quotethey talking about our goat 27b
(and reddit.com/r/LocalLLaMA/comments/1x4ii8e/anthropic_is_doing_free_publicity_for_glm_again)
PS: Qwen4-27B is rumored to be released by the end of october.