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.
* 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?
Maybe for some people. Personally I don’t find it very interesting. From the people I know on Instagram, the pictures they take and the stories they write are extremely curated and artificial.
It’s like deciding to date a famous actress based on a character she played in a movie. She may look like the character but personality and interest-wise she’s unlikely to be anything even remotely resembling the character!
This really takes the artificiality of the dating profile and explodes it to an incredible degree. I’d much rather meet someone through a common interest and start dating organically. That’s basically what the article is saying is coming back.
The reductionist argument is that everyone wants to feel 'good', and that life is solely is about chasing a chemical high from natural dopamines, endorphins, oxy, etc that are produced by the body.
Both males and females want the hottest, wealthiest and most interesting person they can pair up with, regardless of their own attributes.
To state the obvious - people who are ugly, fat, poor and boring (as in way below average) have it rough, as they may not be chosen as a long term partner by someone they consider ideal or even acceptable.
Or you can be real with yourself and find someone in the same ballpark as yourself. Being single may work long term for some people, but I suspect that hollow loneliness will catch up to most eventually.
1. Spend time getting good at marketing (read books, do the work, get feedback).
2. Spend money for an agency or consultant to do it.
3. Spend equity and/or profit sharing for a partner to do it.
No marketing is not an option.
At its simplest, marketing is nothing more than:
1. Repeat exposure to branding and messaging over time to build familiarity
2. Direct response (in-person or online messaging designed to produce some type of response, right now)
3. Positioning: your 'lane', the unique space you ocupy in the market, relative to competitors.
Clarify your value proposition(s) first, and then you'll need to determine how to make a simple presentation about your product.
I use the word 'presentation' more broadly to encompass any type of communication piece about your product.
Tip - study advertorials. They force you to create editorial content that relates to your product that is more story or customer-driven, and is often far more effective than regular ads highlighting features or benefits.
You can then drive paid media PPC/CPM traffic to your advertorials, and then hit them up with direct response retargeting / remarketing ads after pixelling them.
Be prepared that no one will respond during the first interaction or touchpoint. It requires many touchpoints to develop trust and familiarity.
If you're going to spend on ads, try to 'capture' them somehow - into a FB group, email list, etc where you can get in front of them for free the next time.
So, make friends with the concept of repeat exposure and advertorials, and get busy. Good luck!
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"