How are you going to recreate the main selling point of facebook, i.e. the Newsfeed ? If things are encrypted, how are you going to determine relevance, etc.
But we would never reap the benefits in the meantime. That was my main point. And this becomes crucial if the saving of deaths from accident is substantial as compared to deaths that happen due to AI errors.
Let's say we ban development of self-driving cars since the algos can't be explained. Then we will never know the benefit we might reap from adopting them. We know humans make mistake. But with self-driving cars, the error rates in future might be very low as compared to human. We as a human society will never experience this future because we had this silly idealism that all algos must explain themselves in human terms.
I have used Nhibernate in my project at a company. But beyond simple queries we hit a performance issue. For a complex query, it took about 10 seconds to load the data to the frontend. So we had to rewrite the "code logic" ( the Nhibernate part ) into an "custom sql query" (Nhibernate allows you to write custom queries ) and then write custom mappers to map the results back to our application. The reason is Nhibernate does its processing objectwise and inmemory.
I cannot agree with this more. Universe has been existing without intelligent observers for billions of years. It stands to reason that universe is constantly being shaped as particles interact.
Anyone who thinks that QM is making stuff up, please watch this video. Here Rubidium atoms (mind you atoms and not electrons or photos) are made to interfere with each other.
Quantum mechanics is a foundation of physics, chemistry and materials science. Still, there is an ongoing debate about the emergence of the classical, macroscopic world from the well-understood microscopic world of quantum mechanics. We contribute to this discourse by demonstrating quantum superposition of massive particles at the distance (0.5 m) and time scales (2 s) of everyday life, thereby advancing the state-of-the-art of atom de Broglie wave interferometry by nearly two orders of magnitude [1]. In addition to testing a central tenet of quantum mechanics, we pave the way for new precision tests of gravity, including the possible observation of gravitational waves and tests of the equivalence principle. In related experimental work, we demonstrate that entangled clusters of approximately 1000 atoms can be used to achieve 10-fold improvement in the sensitivity of quantum sensors based on atomic transitions; the levels of performance achieved could not have been realized with any competing (non-entangled) method [2].
I had seen a similar research project by people from Microsoft. They had mapped fonts onto a higher dimensional data. Then you can generate new fonts on the fly by specifying a new point and getting a font for that.
What would Cormac say about this? Say if human evolution would have picked up the "Aphantasia" gene to spread then Cormac's main question the "Kekule problem" would dissolve or won't arise.
I distinguish two topics: first, the description of possible languages or grammars as abstract semantic systems whereby symbols are associated with aspects of the world; and, second, the description of the psychological and sociological facts whereby a particular one of these abstract semantic systems is the one used by a person or population. Only confusion comes of mixing these two topics.
I will relate to my observation in Harry Potter books. Harry Potter universe has time machine which we know scientifically are impossible while in the same HP universe, Hermoine has to physically go to the forbidden library to read books. JK Rowling couldn't think of wikipedia or internet which both exist in real world but not time travel.
Basically, ant-algorithm. To stay relevant, you have constantly gather new votes. But it has one problem. Comments with higher votes already have momentum, hence they will be shown to new users most of the time, which gives it more chance to gather new votes, thus continuing the momentum.
Can some kind of summary/NLP analysis help to avoid this? Some kind of color coding of the comment threads. Like which comment threads are sticking to single topic. Which are changing/adding new topics to discussion. A visual tool that can help navigate the jungle of different discussions.
Can you comment on how comments could benefit from NLP related advances? E.g. detecting entities and using those as entry points into discussion, detecting similar topics discussed in different threads, detecting comments which are low effort and don't add much value. I hate the fact that first/top comment sets the tone for discussion overall and lot of people end up expending energy on that topic alone. People end up discussing something tangential just because the first commenter had "interesting" observation. Also I hate the pun threads which plagues reddit.