Make the New Year happy, because you can
It seems to me the New Year will be interesting and exciting as it always seems this way on new year’s eve. What makes me think so though is a number of books I read recently. One of the book is a collection of interviews with prominent people in the field that is known as Artificial Intelligence. The other book is about the particle physics being stuck with high hopes in String theory and why it may be a root cause of not seeing no new physics discovered so far in the Large Hadron Collider (LHC) except for Higgs boson.
The power of the right books
In his book Architects of Intelligence: The truth about AI from the people building it Martin Ford has done something interesting by combining a numbers of interviews, more than a dozen, with people who are focused on Artificial Intelligence progress in various levels. In it you may find Geoff Hinton the founding father of Deep Learning and his colleagues Yoshua Bengio and Yann LeCun who need no special advertising (hint, search in Google). There are also a row of interviews with people like Jeff Dean and Ray Kurzweil from Google Brain that are interesting to read too.
The main point of the book is that those people were asked more or less the same questions, including how they came into field of Artificial Intelligence, what they think about Deep Learning and whether it will alone lead to Artificial General Intelligence. Will the recent advances in machine learning jeopardize jobs and what to do about that. What is interesting to see is that each person interviewed naturally had a different answer to these questions, so it helps to get a balanced view on what is the state of the art of Deep and Machine Learning in 2018.
Things that require new explanations
In her book Lost in Math: How Beauty Leads Physics Astray Sabine Hossenfelder a particle physicist discusses an interesting matter of various biases that affect theoretical physicists that set out to devise a theory that intended to explain laws of physics. For example, String Theory is discussed extensively in the book since this theory though it’s very elegant, beautiful and full of naturalness completely failed due to the absence of any predictions that the theory envisioned. Indeed, no new particles except for Higgs boson, were found in the Large Hadron Collider and it feels like there is a time to abandon String Theory which isn’t working and check other theories that won’t be plagued with ad hoc assumptions of naturalness and apparent, and very likely deceiving, beauty of the nature. If you are interested why there was found nothing new in the particle physics in recent decades, you may find Sabine’s explanations insightful. And maybe just, maybe you’ll discover that you too like me have biases that affect our perception of the nature.
So make the upcoming year as you wish it to be
Remember that as intelligent creatures we are chanced to possess a capability to set goals and achieve them when we plan and act on plans with an enthusiasm and a perseverance (and Google search).
Happy New Year!
One thought on “Thoughts on physics and artificial intelligence on 2019 New Year’s eve”