This book is a good, thought-provoking collection of 10 stories covering an optimistic prediction of applications of AI in many areas of human commerce, entertainment, politics, and daily endeavors. Each story's introductions and analysis by Kai-Fu Lee is well formulated and explains the AI technology behind the plot points in the story. Recommended 5/5 Stars.
Monday, February 5, 2024
Saturday, February 3, 2024
soft phone services from 2001
I started using "soft phone" software in 2001. At Microsoft, where I worked, we had the "Communications Server," which became Lync and then Skype. We used "soft phone" software instead of desktop phones. VOIP was great. We also had the free internet cellular fax "remote printing" service at tpc.int.
Meanwhile in 2005, GrandCentral provided a free service whose tagline was "one number for life!" The single phone number provided free fax (send, receive), free voicemail (send & receive), free SMS, and free voice (dial-out & receive calls). The software ran on PCs, laptops, tablets, & mobile phones. Google acquired GrandCentral and put it to sleep for a while but eventually resurrected it as "Google Voice." Google removed the fax services but added gateways of SMS to / from email and voicemail transcription to email.
For a while, Google merged Google Voice with Google Hangouts, which was cool at the time because the merger added video conferencing and video messages on any device to all of the telephony features. However Google killed Hangouts, so Voice became the only free consumer VOIP service the evil search giant (ESG) supported. Google Meet for enterprise now has dial-out and dial-in to "meetings," but it's not the same as on-demand VOIP. I still use my GrandCentral phone number as the only number I give out to everyone and I use that phone number on about a dozen devices in which I come in contact relatively frequently, including my mobile phones and home computers. I do not give out the cellular carrier phone number.
It's interesting how these consumer services have "enshitified" over the decades.
Sunday, January 28, 2024
To err is human. To devastate, use computers
Simon Thorne wrote this interesting and thought-provoking piece about catastrophic consequences of human errors associated with spreadsheets. Some of my earliest research and publications were in this area of ergonomics, and I am still interested in software quality. Here are some thoughts:
First of all, it is possible we can apply the ideas of large language models and generative AI to assuring quality in a few areas. We can train, fine-tune, and task the models to search for the most-common issues that violate implicit and explicit requirements and expectations of the document, spreadsheet data, or software output. Writing software tests is difficult and time consuming. Generative AI models already write manu of my unit tests. We can expand their use for negative tests in software, spreadsheet checkers, and document scanners.
Secondly, the engineering quality assurance (building quality in) and quality control (measuring quality) that has moved from older engineering disciplines such as civil engineering, construction, manufacturing, and software engineering can be applied to clerical knowledge work. The magical "second pair of eyes" that checks work from accounting through code reviews should be applied to spreadsheets, documents, and knowledge work artifacts.
It is possible my cognitive bias to find patterns where none exist is suggesting an idea that is infeasible. Or perhaps these concepts can be valuable. What are your thoughts?
Tuesday, January 9, 2024
Tuesday, January 2, 2024
Streams of Gold, Rivers of Blood by Anthony Kaldellis (2017)
I don't usually enjoy history textbooks that are too dense with names, dates, events, facts, and numbers. This book is an exception. The author is very careful to explain why most records of the events depicted are so unreliable and offers evidence and careful speculation. There are many fascinating revelations. 4/5 Stars.
Monday, January 1, 2024
Kämpf um Deine Daten von Max Schrems (2014)
Dieses Buch ist viel besser als ich erwartet hatte. Der Autor erläutert sorgfältig schwierige, nuancierte Themen im Zusammenhang mit dem Datenschutz. Er geht durch das Spektrum kultureller Sensibilitäten, Werte und Bräuche, die mit persönlichen Informationen verbunden sind. Schrems verbringt den größten Teil des Buches damit, die enorme Macht der Billionen-Dollar-Technologieriesen sowie die Ökosysteme kleiner Unternehmen zu beschreiben, die von der Nutzung und dem Missbrauch unserer privaten Informationen profitieren. Die scharfe Kritik und der Zorn lenken ein wenig ab, verleihen einem großartigen Buch aber etwas Würze. 5/5 Sterne.
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