Solid Xanadu reference. I wonder what percentage of the current generation of young people would have any idea what this is from. I'm not a film buff, but took a film course in college, and learned all about Orson Welles and Citizen Kane.

He should go to TikTok headquarters and watch a movie on his phone next to complete the circle.

If the tail is gone, the dentures become useless

In a metaphorical sense, Ukraine is the scrappy 'startup' aka highly maneuverable speed boat that can turn on a dime, and the US Department of Defence is a cargo ship that takes years to execute a single turn. The drone playbook is out there, plain for all to see but there are too many entrenched stakeholder interests and incentives for the US to emulate the Ukraine drone playbook. You think the US would establish underground 3D printing drone factories? That would be an insult to its military industrial complex, and a tarnish on its sterling prestige, n'est ce pas?

I thought the headline was discussing all of the yurts in Mongolia that are using machine learning.

Fight fire with fire.

Use AI to determine potential essay topics that are as close to 'AI-proof' as possible.

Here is an example prompt:

"Describe examples of possible high school essay topics where students cannot use AI engines such as perplexity or ChatGPT to help complete the assignment. In other words - AI-proof topics, assignments or projects"

Start going to tradeshows for every possible industry you can think of, and bring resumes.

People who network in person almost always have an advantage compared to people with similar qualifications who sit at home and send out resumes.

You are guaranteed to make more connections if you speak to people at the booths. If you take a genuine curiosity in what they do there's usually something interesting to talk about.

So far in my early forties I have:

* Learned to pan for gold on creeks and use sluice boxes * Learned QGIS from scratch to play with mapping, data viz, gov't data sets and API's, etc * Learned to DJ, DJ'd 3 weddings as a wedding gift for others, and experienced profound joy in making mashups and remixes on the fly * Acquired power tools and started to learn metal working and wood working in my garage shop * Decided to learn to weld, so I bought a welder for 50 bucks on FB marketplace and learned with no in-person classes or courses, only YouTube university. Now I can weld, and a whole new world of possibilities has opened up as being able to create and make things is like a superpower. * Rediscovered skiing and snowboarding after being away from both for 20+ years

In terms of learning new things and acquiring new skills, my early forties have been a period of creativity and discovery, not to mention doing my best to be a good parent to our kid and a good husband.

I'm quite proud of these accomplishments, and none of them have anything to do with career or making money.

A performance benchmark examined compilation times in seconds for a large XCode data set. Surprisingly, the 2023 Mac Mini 10 core M2 Pro with only 16GB of RAM and 512GB of storage (~$1,900 CAD or ~$1,300 USD) performed extremely well (85 seconds in the test).

The machine even went toe to toe with 10 core M1 Max/M2 Pro Macbooks containing 32-64GB of RAM and 1-2TB of storage.

An interesting result that has me taking a very close look at the 2023 Mac Mini M2 Pro with 16GB / 512GB.

Seems like a very good performance to price ratio for a new machine.

Note - I am scoping the use case down to Xcode compilation only to keep things simple.

Also - if one is willing to get an 8 core machine instead, for $100 CAD more you can get M2 8 core with 24GB RAM and 1TB SSD for $2,000, which also seems like great value (though XCode compilation in the test took 20-30 seconds longer).

Thoughts? What is your experience with XCode development and compilation using the M1/M2/M2 Pro Mac Mini?

Excel-erate your breath... or spreadsheet