Getting more confused about regulating social media
Out of the mix of commercial greed, politics, and genuine desires to make the world better, we'll try many ways to "fix" social media. But I think it may take a couple of generations, affected by what we do, for us to begin to agree about what's right and wrong.
The undiscovered country
Capturing and sharing what you already know is good; and with today's data and text analytics tools, it has become much easier than when we'd first begun this journey.
The human capability to under-or overestimate
Yet maybe the most glaring example of underestimating humans we encounter in our work is in the world of AI. It's partly the term "intelligence" in AI that misleads so many, as AI is not intelligent in the same way that humans are intelligent. Though powerful, AI ultimately matches patterns it has learned, and even the smartest of AI systems is limited in how many patterns it can match and make sense of.
What ‘sentient’ AI teaches us
As Gary Marcus says, a large language model is just a "spreadsheet for words" that lets it act as a massive autocompletion system that knows how words go together but has not the foggiest idea how those words connect to the world.
The final frontier
Given the rapid expansion of satellite communication webs in support of IoT, the volume of data will continue to explode.
To hyperautomate or not to hyperautomate?
The logic behind hyperautomation is clear: Automate everything that can be automated. The practicalities of that are far less clear.
Dispatches from the edge
Edge-of-chaos decisioning means being continually informed on the critical elements needed to make better, faster decisions.
AI’s ways of being immoral
The most powerful ML can require the resources of wealthy organizations. Such organizations usually have at best mixed motivations, to be charitable about it.
Finding the weakest link
Though traditional and often reluctant to change, the supply chain sector is now reassessing its lack of embrace of technology and, significantly, rethinking long-established processes.
Maybe the rise of machine learning will so transform our model of intuition that we'll start to trust it much more.
DAOs, NFTs, Web 3.0, and the metaverse: What does it all mean?
We can look at Web 3.0 as the next decentralization/virtualization stage of the internet. Here, blockchain-linked tokens, including NFTs, are integral to DAOs, which are frequently promoted as a gateway to the metaverse.
The Law and AI
AI is very good, and light years ahead of where it was just a decade ago, but it is far from "intelligent." Indeed, it is only as good as the data it is provided and needs close human supervision.
In a book, not knowing how you got to a page would be a sign of a failed structure. On the internet, that can be a sign of a deeply rewarding intellectual expedition.
Fusion, fission, or something else?
When it comes to applying KM, the key is identifying and connecting the dots in meaningful and synergistic ways.
Blockchains eliminate the need to trust other people. That's it; that is all there is to it. Trust is deferred to the system itself.
Thinking fast—and faster
If you're going to achieve consistent, effective high-speed decision making, it can't involve a protracted review by upper management.
Getting to the future of KM
AI can and does do a good job of assisting and even augmenting knowledge work, but our "to be" state should not take the human element—however flawed—from the work.
Predictions can be used to try to get to the bottom of something in the present. That's often the case with arguments about what the web will do to us and society.
The state of knowledge
The new norm is for us to learn in public and to share what we have learned.
The way of the scenario
The Delphi technique has become less effective in recent years, especially in crisis situations in which conditions, assumptions, and other variables are changing faster than the group is able to respond.