Infrastructure: Still a Good Investment?
In the past, infrastructure was an investment into the local population. Highways and train stations allowed cities to grow and towns to prosper, and even modern airports do the same thing to many destinations.
But what will ai data centers do? It almost reminds me of Dollar General. Whenever they move into a new area, it pushes out local business and the money that would have stayed within the community gets siphoned out to uninterested aliens.
Will ai prop up local communities, or will it turn into the new manufacturing where the cheapest bid usually wins?
Source: https://www.youtube.com/watch?v=IQoqtn2RquI
Minimum Connections, Maximum AI
I think that the ideas from this video about connections could be a fantastic way to layer knowledge bases for ai. Someone was able to create massive databases for agentic ai without hallucinations by cleverly segmenting which data the ai had access to for each task with knowledge based gates in n8n. A few random or strategically placed pathways into other knowledge bases could massively expand capabilities while keeping the benefits of both intact. High accuracy and low hallucinations with small knowledge bases, and high potential for higher level thinking and agent layering.
I can't wait to try this out!
Source: https://www.youtube.com/watch?v=CYlon2tvywA
Is AI Unreliable Compared to the Competition?
In a world of everyone accusing AI of being unreliable, I wanted to take the time to talk about the competition.
Below is an article written by a Stanford grad who even attended a class on the subject matter. Yet their analysis misses a fundamental idea of the topic itself: randomness does not exist in computers that you and I will use, it can't.
Any discussions about algorithms being used to generate random numbers is moot as those are only pseudo-random number generators. If you know the initial value, or the seed, you can calculate the output. The only known truly random processes humans have observed are natural phenomena such as radioactive decay.
Similarly, ai is deterministic as most are calculating the gradient descent to determine the most likely word that should appear next. While the output might change, that is not what random means.
Yes, ai is still not 100% reliable, but frankly neither are people. Even a source from an ivy league graduate has noticable errors that impact the results he presents. Don't just check the work of ai, fact check all of the information you receive.
Modern AI requires that you understand the field you are using it for, you should look at ai like an overly enthusiastic intern who is extraordinarily fast. Aai can speed up your workflow; engineers, lawyers, and even customer service are leveraging ai to do better work faster. Do you plan on being left behind, or will you ride the rising tide to new heights?
Source: https://towardsdatascience.com/llms-are-randomized-algorithms/