slickQ

7 ms·

1.
by slickQ 1y ago
The model is fed a few samplings of previous attempts and their evaluations during the optimization of the current algorithm. Using that information, the model is able to combine components of previous attempts into the current attempt at w
2.
by slickQ 2y ago
It may be sold to a Trump insider in the end. First crypto and now this.
3.
by slickQ 2y ago
Perplexity AI does this as well and for free. And so do the latest Gemini models.
4.
by slickQ 3y ago
Ironically, this comment is better written than nearly all others under this post. I take LLMs to be net positive contributors to literary expression.
5.
by slickQ 6y ago
A murderer who kills 1% of the people he meets has certainly committed a crime. A person who has a 99% chance of being a murderer has not certainly committed a crime. That is depending on your threshold of certainty. 1% is not that high co
6.
by slickQ 6y ago
Written language is used, in large part, to express sensory data (ex: colors, shapes, events, sounds, temperatures, etc). Abstract models are, through inductive reasoning, extrapolated from that sensory information. So in effect more sensor
7.
by slickQ 6y ago
Growing poppies has been consistently profitable for decades and is likely to remain profitable for the foreseeable future as the demand has yet to decrease. It is true, however, that as the supply increases the likelihood that some consume
8.
by slickQ 6y ago
As NN models get more advanced generating speech synthesis will get progressively more convincing and less expensive to implement, even if the models aren't built for speech synthesis specifically. The same can be said for image genera
9.
by slickQ 6y ago
So think of this as adding a "none of the above" option.