11–20 of 88 posts
Natural language processing is going to absolutely decimate content on the internet, forcing everyone into walled gardens
Via seo spam and other types of spam that are indistinguishable from real content?
>Human babies don’t get tagged data sets, yet they manage just fine, and it’s important for us to understand how that happens I do not really understand this. Human babies get a constant stream of labeled information from their parents. Contextualized speech is being fed to them for years. Toddlers repeat everything you say. Is this referring to something else that babies can do?
I rather like to think of the genome as the most well trained model of life we have access to.
Natural language processing is going to absolutely decimate content on the internet, forcing everyone into walled gardens
In either system users can go to a strict whitelisting approach but that would com at a cost of discoverability and serendipity. This would strengthen the position of anointed 'influencers' and curators, and diminish the value of algorithmic feeds so eating into the revenue model of those that rely on this.
Since those forces are counteracting it is hard to make predictions, but I will anyway but take it with a strong dose of uncertainty.
My dystopian take is the ubiquitous deployment of 'fake' actors will further undermine the general inter-human levels of trust. Evolutionary less fragile altruistic strategies rely on unfakable or at least costly signals to stand up to the 'free-rider' intrusion. Sadly undermining trust will accelerate the further descend into identity tribalism we are already witnessing today, a segregation into near-immutable trait based groups where cross-clan transgressions are punished with extreme measures. As a caricature think of the television portrayal of tribal gang cultures in maximum security prisons.
My utopian take is that the onslaught of fake noise will restore the reliance on offline contacts and connections. Due to physical proximity these offline groups have to share more of the negative externalities caused by their actions which could lead to more altruistic consideration in consumption and production descisioning. Direct verifyable contribution and impact might trump systemic distrust and lead us out of the current innate identity tribal descend.
Re: PyTorch TPU support, has anyone checked it out beyond "it works"? There are many aspects of TPUs that I'm not convinced are easy to port: Colocating gradient ops, scoping operation to specific TPU cores, choosing to run operations in a mode that can use all available TPU memory (which is up to 300GB in some cases), and so on. These aren't small features. If you don't have them, you don't get TPU speed. The reason…
"With a snippet of your voice and a few selfies, you'll be able to create a fairly realistic representation of yourself as the main hero of e.g. a Final Fantasy 7 type game. "
Extrapolating from FB/Instagram I would wager a 'fairly realistic' representation while technically an option will be shunned by most in favor of a 'fairly idealized' representation or alternatively some sort of myopically polarized extreme trait representation.
Is it just me that are wondering why they did not use AI to predict where AI is going in 2020?
Broadly from (1) with the data structures it will be able to represent and store data and, then, from the algorithms, manipulate that data generating more data to be stored, etc.
In particular it will be able to do well with thought experiments and generation and evaluation of scenarios.
Good image understanding will come later but only a little later; the ideas in (1) may have to be revised to do well on image understanding.
The linked page threw up a suspicious looking overlay. I left the site, too bad since I wrote a blog with my predictions last night and wanted to compare my AI predictions.