Watching the manufacturing process of one of the most powerful angle grinders gave me a whole new level of appreciation for engineering and industrial craft.
Calvin, a baseball player, struggles to cope with early retirement, until he meets Produce, a young man with DOWN SYNDROME, who befriends him and gives him hope.
Orion’s crew and service module have separated. The crew module continues on its path towards Earth while the service module will harmlessly burn up in Earth’s atmosphere over the Pacific Ocean. The Artemis II return trajectory is designed to ensure any remaining debris does not pose a hazard to land, people, or shipping lanes.
Did someone say the Catholics will start their cultic stuff this week? I'm here to tell you that we started yesterday. The headless priest of Mary Mother of Good Counsel Catholic Church, Accra 🤣
My phone reminded me of this journey through these photos.
Every time I see them, I pause.
In 2019, I decided to go all-in on machine learning. I was trained in power systems and control. Equations made sense. Physics made sense.
Neural networks did not.
A few months in, I started regretting the decision. The learning curve was brutal. Nothing worked the first time or the tenth.
But something kept pushing me forward.
That “something” pulled me into deep reinforcement learning for microgrid control where control theory meets uncertainty, and debugging feels like detective work at 2 AM.
Two years into the grind, we submitted my first paper.
Five months later, the reviews came back.
We had three months to respond.
That’s when things escalated.
I bought two additional computers to add to my existing two (hence the four laptops in the first picture) plus the lab desktop. I was training multiple agents simultaneously tuning hyperparameters, redesigning reward functions, rescaling states, monitoring convergence, analyzing frequency response all in parallel.
It felt like conducting an orchestra.
Some agents learned.
Others refused.
Just when I thought it was over, I had to validate everything on RTDS real-time digital simulation something that hadn’t been done in over 13 years at my school.
Back to learning, again 😂!
Few months later, I received the email:
Accepted.
Three years of confusion, debugging, and persistence distilled into one word.
Recently, my co-advisor shared that the paper is now recognized as an ESI Highly Cited Paper (top 1% by citations in its field and year globally).
I had to sit with that.
Because I remember the nights nothing converged. The months where progress felt invisible.
This journey taught me something bigger than reinforcement learning:
Mastery begins with discomfort.
Growth hides inside frustration.
And sometimes the real breakthrough is simply the decision not to quit.
If you’re in your own season of “nothing is working,” keep going.
You may be closer than you think. Do not give up!
I thought I’d heard every version of this remarkable piece… but this one resonates in its purest form. Two souls reaching across time and space without a single word — only the universal language of music, moving in unison and connecting us all. Truly beautiful. 🎶✨
𝐏𝐚𝐜𝐡𝐞𝐥𝐛𝐞𝐥’𝐬 “𝐂𝐚𝐧𝐨𝐧 𝐢𝐧 𝐃”, 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐞𝐝 𝐨𝐧 𝐭𝐰𝐨 𝐂𝐡𝐚𝐩𝐦𝐚𝐧 𝐒𝐭𝐢𝐜𝐤𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐛𝐞𝐚𝐮𝐭𝐢𝐟𝐮𝐥 𝐨𝐥𝐝 𝐭𝐨𝐰𝐧 𝐨𝐟 𝐂̌𝐞𝐬𝐤𝐲́ 𝐊𝐫𝐮𝐦𝐥𝐨𝐯.