#GoodReminder

Personal collective of ideas, thoughts and notes
#GoodReminder



I wish I could call myself a collector, but at this stage it’s simply an enthusiast. This is slightly personal and sentimental, but in our home life my dad never wore his shirt, it was general always hot, muggy, beach like weather in East London and therefor slipslops (optional) and shorts outside of work were the norm. But there was one thing he did wear religiously, and that was his Omega Speedmaster Mark II.



He originally purchased it while in Switzerland in around 1973. He had it serviced once (that I can remember) because it kept getting moisture under the glass. When he passed away, I didnt want to ask for the watch, but it was always on my wish list. On my 40th birthday I purchased the same watch (Make/Model) as a keepsake and as a simple reminder. After a few years, my mom offered me the watch and I now have two 🙂 I wold like to “collect” more, and while I do also have my grandfathers Seiko and a few more cool watches, I would not call myself a horologist or collector just yet 🙂







Welcome to the family!



The Peter Principle is a management concept formulated by Dr. Laurence J. Peter in his 1969 book “The Peter Principle: Why Things Always Go Wrong.”
The principle states: “In a hierarchy, every employee tends to rise to their level of incompetence.”
Employees who perform well in their current role get promoted
They continue getting promoted as long as they perform well
Eventually, they reach a position where they’re no longer competent
Once incompetent, they stop getting promoted (they’ve “plateaued”)
They remain in that position, performing poorly
This means that over time, every position in a hierarchy tends to be filled by someone incompetent to do that job. Peter observed: “In time, every post tends to be occupied by an employee who is incompetent to carry out its duties.”
And therefore: “Work is accomplished by those employees who have not yet reached their level of incompetence.”
The key insight is that competence at one level doesn’t guarantee competence at the next level. For example:

A small exercise to spend the day (8 hours) working with the Apple Vision Pro.




As Audrey Chanakira wraps up her AK!13 internship with our team at SAP, we want to take a moment to recognize the incredible impact she’s made.
Originally from Zimbabwe, Audrey joined us through the AFRIKA KOMMT! fellowship program and quickly became a valued member of our team. Her curiosity, professionalism, and collaborative spirit enriched our work and brought fresh perspective to everything she touched.
Audrey’s contributions have left a lasting impression, and we’re grateful for the time we had together.
Thank you, Audrey Chanakira — it’s been a pleasure working with you!
hashtag#AFRIKAKOMMT hashtag#AK13 hashtag#SAP hashtag#GlobalTalent hashtag#Zimbabwe hashtag#InternshipExperience hashtag#Teamwork hashtag#FutureReady
This is a nice short paper/read on how (relatively) small the training data for AI systems are, and due to data moats and hoarding, advances in AI models may start to become limited.
When a data owner shares a piece of data, the owner loses all control over how it will be used, copied, and shared further. When the owner sells a piece of data, they don’t sell the original data — they sell a copy. When a dataset is copied, the global supply goes up, the price goes down, and every customer becomes a competitor for the future sale and use of that data.
This is a nice paper covering this topic and other elements of the AI data crisis.
An interesting study of older adults who have positive thinking are less prone to cognitive decline.

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