• 0 Posts
  • 82 Comments
Joined 8 months ago
cake
Cake day: July 10th, 2024

help-circle




  • Some options you could consider include […] making your game free to play with optional upgrades sold via Microtransactions or Downloadable Content (DLC).

    I am not sure this is better. I hate microtransactions usually more than ads.

    Ads don’t cost you money, just time, and sometimes some screen space. They are annyoing and that sucks. But leveraging dark patterns as stuff like FOMO and other psychological tricks to nudge people towards microtransactions can cost you a lot. A business model, which relies on techniques from the gambling industry – also by catching some whales – is imo way worse than ads.
    Such games aren’t made for all players, just for some who don’t have control over their expenses (or can really afford it).

    I can live with DLCs as long as there aren’t so many that it becomes increasingly indistinguishable to microtransactions. But in the end I don’t want to buy a fucking lego set, where I have to constantly buy new stuff.

    That’s why I prefer single purchase games. I am also ok with paying more for them if that means the devs get the proftis to keep the development of games I like going. Buy once – have it all. Keeping games at a comparably equal price over decades is imo not meaningful anyways due to factors like inflation. But the gaming community can be really unforgiving in this regard. That’s why ad-based or microtransaction-based games are taking off. A majority of gamers are uncritical enough that this works. And then they are surprised when it bites them in the ass…







  • its not, though. Its best described as inspired by a big pachinko machine, with weighted pegs.It is almost in no way inspired by. Thats just propaganda being put out to make AI more palatable, and personable.

    Get your facts straight.
    The multi layer perceptron was first proposed in 1943 and was indeed inspired by biological networks: https://doi.org/10.1007/BF02478259

    You can be sure this wasn’t to make it “more palatable”, wtf.

    Regarding the rest of your reply:

    You seem to be expecting a fully functioning digital brain as replica of the human brain. That’s not what current ANNs in modern AI methods do.

    Although they are in their core inspired by nature (which is why I originally said that advancements in brain research can aid the development of more advanced AI models), they work structurally different. And ANNs for example are just simplified mathematical models of biological neural nets. I’ve described basic properties before. Further characteristics, like neurogenesis, transmission speeds influenced by myelinated or unmyelinated axons, different types and subnets of neurons, like inhibitors, etc., are not included.

    There is quite a large difference between simplfied models which are “inspired by” nature and exact digital replicas. It seems you are not accepting this.


  • I said “inspired by” and not “exact digital replicas”.

    In classical MLP networks a neuron is modeled as an activation function depending on its inputs. Connections between those are “learned”, basically weights which determine the influence of one neuron’s output on the next neuron’s input. This is indeed Inspired by biological neural networks.

    Interestingly, in some computer vision deep learning architectures, we have found structures after the training procedure which are even similar to how human vision works.

    There are a bunch of different artificial neural network types, most – if not all – inspired by biology. I wouldn’t be so bold to reduce them in that absurd manner you did.