Late Morning Coffee

Reaching out to people you’ve lost touch with is harder than it should be—until you actually do it. Whether it’s old friends, former colleagues, or connections that quietly faded over time, the first message can feel awkward or even intimidating. But with each attempt, the process gets smoother, more familiar, and surprisingly rewarding. This episode explores why that initial outreach feels so vulnerable, what happens when you push through it, and why re-establishing connection—just like anything else—gets easier every time.

There’s no shortage of advice about how to lift weights—but what actually works often comes down to trial, error, and personal rhythm. This episode breaks down a less conventional training split, the logic behind it, and why it might work better than popular routines like push-pull-legs. From early days as a swimmer to years of bodybuilding-style training, it’s a personal reflection on finding a system that fits both goals and reality. Because sometimes the best plan isn’t the one that’s trendy—it’s the one you’ll actually stick with.

A new season of Black Mirror kicks off with an episode that hits uncomfortably close to home. Set in a near-future world of brain-connected prosthetics and mandatory subscription plans, it draws a chilling parallel to how modern tech companies monetize not just our data, but our time, attention, and even sleep. This isn’t just sci-fi—it’s a sharp metaphor for the hidden costs of everyday tools we rely on. It’s easy to justify the price of convenience, but harder to notice what else might be getting taken in the transaction.

It’s easy to let hobbies fade into the background when work, parenting, and life get crowded. The time that used to stretch wide on weekends now feels measured in scraps, and even beloved pastimes can start to feel like just another thing you didn’t get to. But there’s value in holding onto the things that make you feel like yourself—especially when they connect you to others, or to your past. Whether it’s passing them along, adapting them to new routines, or just remembering why they mattered in the first place, it’s worth asking: what do you still make time for?

The name wasn’t random, and the format wasn’t an accident. It’s not a niche podcast, not focused on a single topic, and definitely not optimized for growth—and that’s the point. Built around the spirit of slow mornings, open thoughts, and a desire to stretch outside the familiar, this episode reflects on why this podcast exists at all. It’s about sharing, not preaching; reflecting, not branding. And maybe, for whoever's listening, it offers a small way to make room for something new.

Some advice sticks not because it’s helpful, but because it sounds wise enough to repeat. Like not caring about judgments from people whose opinions you wouldn’t seek out—or asking whether your younger self would be proud of who you are now. But what happens when those ideas bump into each other? If the 18-year-old version of you wouldn't make your shortlist for trusted input, why give their goals or expectations so much weight? This episode unpacks that internal contradiction and raises a bigger question: whose voice are you really listening to?

We all like to imagine our happy place—some idealized zone of peace, creativity, or joy. But what happens when the thing that actually centers you isn’t the one you wanted it to be? This episode explores the quiet tension between the activities we hope will ground us and the ones that actually do. It’s about noticing where your mind settles, even if that place feels off-brand, uninspiring, or just plain inconvenient. The question is whether you fight it, or finally decide to steer into it.

Sometimes the best move isn’t damage control—it’s turning the damage into a headline. From a coffee shop proudly advertising a scathing Yelp review to a podcast-turned-contest built on worst-case listener feedback, leaning into a perceived flaw can become a powerful trust-builder, or at least a conversation starter. But there’s a difference between embracing the pratfall and just falling flat. Without a clear call to action, the whole thing can backfire into a forgettable middle ground. The trick is knowing when to turn a misstep into a marketing move—and how to make the joke land.

• Jason's LinkedIn Post
• Help Wanted Episode

Mindfulness doesn’t have to mean incense, robes, or hours of silent stillness. Sometimes it’s as simple as a short nightly ritual and a few surprisingly sticky phrases. After dabbling with guided meditations, a handful of lines stood out—ones that offer a different way to let go, wind down, or give yourself a break. Whether it’s “you’ve done enough today” or “let go of your attachment to today,” the right words, at the right time, can shift how you think about your own mind. Especially when your jaw is clenched and you didn’t even notice.

Insight Timer

There’s a familiar prediction floating around: AI will replace workers, automate tasks, and shrink the workforce. But if history is any guide, the outcome may be less revolutionary and more… familiar. Past technological shifts promised leisure but delivered longer to-do lists, not shorter ones. As AI streamlines the mundane, it’s likely to open space—not for rest, but for more work. The tools change, but the tempo doesn’t. And if we're honest, we probably won't be sipping mai tais on the beach anytime soon.

My LinkedIn Post

During the 1950s-1980s, many thinkers speculated that computers and automation would lead to a world of less work and more leisure. Some of the most notable predictions included:

In his famous essay Economic Possibilities for Our Grandchildren (1930), Keynes predicted that by the year 2000, people would work only 15-hour weeks due to technological progress and automation. He believed that increased productivity would allow workers to meet their needs in a fraction of the time, leading to more leisure.

Wiener, the father of cybernetics, saw the potential for automation to replace routine work. He warned, however, that this could lead to unemployment if wealth was not distributed properly.

Reports from companies like IBM and think tanks such as the Rand Corporation explored a future in which automation and computing would allow workers to focus on creative and strategic tasks while working fewer hours.

Some policymakers considered a future in which increased productivity would lead to a universal basic income or reduced working hours.

Books and articles frequently imagined a world in which computers would handle much of the mundane labor, leading to widespread four-day workweeks or shorter daily hours.

Instead of leading to a reduction in work hours, computers increased efficiency but also increased expectations. This resulted in a higher workload for employees rather than more leisure. The main reasons include:

As tasks became easier to complete with computers, companies expected employees to do more in the same amount of time.

Instead of reducing work hours, managers realized they could increase output with fewer workers.

In In the Age of the Smart Machine, Zuboff examined how computers reshaped work, often blurring the boundaries between work and personal time.

Email, digital communication, and remote work tools made it easier for employers to contact workers outside office hours.

Initially seen as a way to increase work-life balance, remote work (facilitated by computers and the internet) often blurred work-life boundaries even further, leading to more hours worked instead of fewer.

American work culture places a high value on productivity and long hours, discouraging companies from reducing hours.

Wage stagnation and job insecurity have also contributed to employees working more hours just to maintain their standard of living.

Some countries and companies are experimenting with shorter workweeks without a reduction in pay, but widespread adoption remains uncertain.

AI and machine learning were initially expected to reduce workloads, but they may instead be making work even more intense (e.g., constant digital monitoring, algorithm-driven performance evaluations).