Lisa Feldman Barrett – How emotions are made
Nice and usefull re-interpretation of what emaotions are, but I the anthropocentric way in which it contrasts emotions of humans and animals read as ‘goal seek’ that under-estimates the animal brain’.
Lisa Feldman Barrett – How emotions are made
Nice and usefull re-interpretation of what emaotions are, but I the anthropocentric way in which it contrasts emotions of humans and animals read as ‘goal seek’ that under-estimates the animal brain’.
Enjoyable expansive thinking, unafraid of the pathetic.
Ethan Mollick – Cointelligence
Not wrong, but misses true depth and is overly-reliant on the author’s conversations with Chat-GPT.
Mustafa Suleyman – The coming wave
In the light of the message of the book, the writer’s move to join Microsoft as AI chief in early 2024 was surprising.
Great to see journalists initiating change in their own organization.
As I have noted earlier, data access is a major topic when it comes to achieving a healthy power balance in the information space here and here. Glad to see more and more companies take this seriously.
Personally, I currently see little incentives for companies, organization, or individuals to allow their data to be crawled by for profit.
Nov. 2017: Interesting exploration of the implications of AGI, faulted by the typical preference of Analytical Philosophy for construction of intricate, highly theoretical scenario’s, under-emphasizing basic challenges (in the case of AGI: lack of robustness / antifragility).
Jun. 2023: The writer has leveraged the recent rise of LLMs like ChatGPT to further fuel fear about an AGI break-out – even though other AI-related risks require more imminent attention.
Brian Christian – The Alignment Problem
The analogies between human and machine learning strategies are skillfully narrated, but rather drawn out.
Judea Pearl and Dana MacKenzie – The book of Why
The practical and relevant examples (health effect of smoking, impact of humanity on climate change) of causal inference alone make the book worthwhile.
Marcus de Sautoy – The creativity code
Surprisingly up-beat considering its message and packed with nice examples.
Brian Christian – The most human human
Unfortunately, the book does not explicitly challenge if humans are adequate judges in the Turing test.
Andrew Hodges – Alan Turing: The imitation game
A quite complete account of the life and death of one of the most fascinating figures of early computing.
The book’s set-up with multiple scenarios for the future works surprisingly well and is especiall concerning for European readers: Europe is almost completely irrelevant in all of Webb’s scenarios.
Ajay Argawal, Joshua Gans, Avi Goldfarb – Prediction machines
The authors see AI as just a new option for the division of labor which, although it can have rather dramatic consequences, does not support apocalyptic GAI fearmongering.
Meridith Broussard – Artificial Unintelligence
Great effort to democratize AI and peel off some layers of mistique that harm public debate (althought the case against technochauvinism seems at times a bit too shallow).
Former Google China Chief explains why China will win the AI race when it comes to applications of deep learning in the physical world.
Machine, Platform, Crowd – Andrew McAfee and Erik Brynjolfsson
Decent summary of developments with some nice examples, but not sufficiently new or surprising to classify as ‘essential reading’.