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learning about machine learning
Why is machine learning [ML] important for your business? If you work at Nokia, your Chairman can explain it to you in a one hour presentation he developed over six months of research. Risto Siilasmaa...
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“the future cracked open”
Race Bannon sees AI (or really machine learning) changing many jobs, such as technical writing, in the near future. “I believe within 5-10 years much of technical documentation will be written by AI....
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GPT-3 through a glass darkly
I have been using the tetrad (four sides) derived from Marshall & Eric McLuhan’s Laws of Media for several decades. I find it useful for examining emerging technologies, beyond the hype. For...
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auto-tuning work
Are we moving into a post-job economy? Can the concept of the job continue to be the primary way that people work? Building ways to constantly change roles can be one way to get rid of the standardized...
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capitalism > automation > gpt
In my last post I covered in detail how ideas become ideology. “Ideas lead technology. Technology leads organizations. Organizations lead institutions. Then ideology brings up the rear, lagging all the...
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understanding the hype and hope
I have been keeping an eye on the hype & hope around artificial intelligence (AI), especially: ML — machine learning GPT — generative pre-trained transformers GAI — generative artificial...
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“the total decoding and synthesizing of reality”
A seminal moment in my work came when I saw my first web page on a computer at Montreal’s CRIM in 1994. I finally saw computers as things that connect people around the globe. From here I completed a...
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chatting about gpt
These are some highlights from several sources focused on large language models (LLM) and generative pre-trained transformers (GPT) — all published in 2023. It might be useful to first read — Nobody...
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getting scraped
The Washington Post looked at what information feeds Google’s chatbots, particularly the C4 Data Set which scraped 15 million English language websites. This is the ‘artificial intelligence’ that feeds...
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step lively
It seems that today everyone is chatting about GPT (generative pre-trained transformers) and what feeds them — large language models (LLM). I am always skeptical when the next techno-hype cycle comes...
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automation vs augmentation
Understanding machine learning (ML), generative pre-trained transformers (GPT), and large language models (LLM) has become a part-time job for me. Not only is there a lot of information and discussion,...
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technology analyzing technology
I have written almost 100 posts referencing Marshall McLuhan’s Laws of Media using the media tetrad. I recently came across a tweet where the author, Ethan Mollick asked ChatGPT, “Create a Marshall...
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the button
Ethan Mollick discusses the impact of ‘The Button’ on our writing. The Button is in Google Docs but similar GPT-LLM tools are or will soon be available in many other writing tools. They can immediately...
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Whither peer to peer?
“Once men turned their thinking over to machines in the hope that this would set them free. But that only permitted other men with machines to enslave them.” —Frank Herbert (1965) Dune In 2012 Dave...
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don’t know much about technology
I would never describe myself as a ‘techie’. In my second year of undergraduate studies (1978) I failed my computer programming course in Fortran Watfor & Watfiv [that was with punch cards and a...
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automation, algorithms, and us
In March 2023 I wrote — understanding the hype and hope — of AI and I highlighted several insights from various experts. The Good “With an LLM even a problem with only one user, will be doable, enter...
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augmentation not automation
In automation vs. augmentation, inspired by danah boyd, I wrote that I am mostly in the augmentation camp, though I am concerned that automation + capitalism = a perfect storm. This was the case with...
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low-quality goo
The race toward an AI-driven society is not only costly in terms of electricity and water use with the current AI data centre boom, but the longer-term impacts on how we communicate may be significant....
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stepping aside
In Only Humans Need Apply, the authors identify five ways that people can adapt to automation and intelligent machines. They call it ‘stepping’. I have added in parentheses the main attributes I think...
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skill erosion
If you don’t use it, you will lose it. Automate what was once a skill-developed process and those skills will decline. “Cognitive automation powered by advanced intelligent technologies is increasingly...
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