Happy Saturday, everyone! Here on Global Nerdy, Saturday means that it’s time for another “picdump” — the weekly assortment of amusing or interesting pictures, comics, and memes I found over the past week. Share and enjoy!





































































Happy Saturday, everyone! Here on Global Nerdy, Saturday means that it’s time for another “picdump” — the weekly assortment of amusing or interesting pictures, comics, and memes I found over the past week. Share and enjoy!





































































A couple of weeks back, I wrote about how coding happens on a spectrum whose opposite ends are:
I myself have been writing code for different purposes, on different parts of this spectrum (see the diagram at the top of this article for where they land on the spectrum):
Here’s what’s happening in the thriving tech scene in Tampa Bay and surrounding areas for the week of Monday, February 2 through Sunday, February 8!
This list includes both in-person and online events. Note that each item in the list includes:
✅ When the event will take place
✅ What the event is
✅ Where the event will take place
✅ Who is holding the event

| Event name and location | Group | Time |
|---|---|---|
|
Customer Insights: Beyond Surveys and NPS |
1:37 PM |
|
|
Computer Repair Clinic |
Tampa Bay Technology Center | 8:30 AM to 12:30 PM EST |
| First Friday WordPress Collaboration Meetup – February 2026 Friday, Feb 6 · 9:00 AM to 10:30 AM EST |
West Orlando WordPress Meetup | 8:59 AM |
| Designer Cowork @ The Blend (Magnolia Heights) The Blend Coffee & Cocktails |
Tampa Bay Designers (Formerly Tampa Bay UX) | 10:00 AM to 2:00 PM EST |
| OWASP Tampa Chapter 2026 February Lunch n’ Learn GuidePoint Security |
OWASP Tampa | 11:30 AM to 1:30 PM EST |
| Friday Board Game Night Bridge Club |
Tampa Gaming Guild | 5:30 PM to 11:00 PM EST |
| MTG: Commander FNM Critical Hit Games |
Critical Hit Games | 6:00 PM to 11:00 PM EST |
| NEW START TIME! “The Miracle of Mindfulness” – Thich Nhat Hanh, Part I The Skills Center |
Tampa Stoics | 6:30 PM to 8:30 PM EST |
| Freakin FriYAY Game Night Park Shore Condos – Community Rec Room |
Groupies Got Games | 7:00 PM to 10:00 PM EST |
| Taps & Drafts | EDH/MtG Night 1Up Entertainment, Tampa |
Nerdbrew Events | 7:00 PM to 9:00 PM EST |
| Modern FNM Sunshine Games | Magic the Gathering, Pokémon, Yu-Gi-Oh! |
Sunshine Games | 7:00 PM to 10:30 PM EST |
| Friday Pokemon Tournament Sunshine Games | Magic the Gathering, Pokémon, Yu-Gi-Oh! |
Sunshine Games | 7:30 PM to 11:30 PM EST |
| Return to the top of the list | ||
| Event name and location | Group | Time |
|---|---|---|
| Florida State Fair with the Geeks Florida State Fairgrounds |
Geekocracy! | 10:00 AM to 12:00 PM EST |
| Sunday Chess at Wholefoods in Midtown, Tampa Whole Foods Market |
Chess Republic | 2:00 PM to 5:00 PM EST |
| D&D Adventurers League Critical Hit Games |
Critical Hit Games | 2:00 PM to 7:30 PM EST |
| Pt. 2 of laser training- learning how to use Lightburn. MakerSpace Pinellas |
Makerspaces Pinellas Meetup Group | 3:00 PM to 4:00 PM EST |
| Traveller – Science Fiction Adventure RPG Black Harbor Gaming |
St Pete and Pinellas Tabletop RPG Group | 3:00 PM to 6:00 PM EST |
| Sunday Pokemon League Sunshine Games | Magic the Gathering, Pokémon, Yu-Gi-Oh! |
Sunshine Games | 4:00 PM to 8:00 PM EST |
| A Duck Presents NB Movie Night Discord.io/Nerdbrew |
Nerd Night Out | 7:00 PM to 11:30 PM EST |
| Return to the top of the list | ||

How do I put this list together?
It’s largely automated. I have a collection of Python scripts in a Jupyter Notebook that scrapes Meetup and Eventbrite for events in categories that I consider to be “tech,” “entrepreneur,” and “nerd.” The result is a checklist that I review. I make judgment calls and uncheck any items that I don’t think fit on this list.
In addition to events that my scripts find, I also manually add events when their organizers contact me with their details.
What goes into this list?
I prefer to cast a wide net, so the list includes events that would be of interest to techies, nerds, and entrepreneurs. It includes (but isn’t limited to) events that fall under any of these categories:
Happy Saturday, everyone! Here on Global Nerdy, Saturday means that it’s time for another “picdump” — the weekly assortment of amusing or interesting pictures, comics, and memes I found over the past week. Share and enjoy!
https://www.youtube.com/shorts/ypCib4by1zM






















































































I’ve often been asked “How do you keep up with what’s going on in the AI world?”
One of my answers is that I watch Nate B. Jones’ YouTube channel almost daily. He cranks them out at a rate that I envy, and they’re full of valuable information, interesting ideas, and perspectives I might not otherwise consider.
If you haven’t seen this channel before, he recently published a great “starter video” titled The People Getting Promoted All Have This One Thing in Common (AI Is Supercharging this Mindset). It covers a topic that should be interesting to a lot of you: What to do when the traditional career ladder is getting dismantled, and yes, the answer involves AI.
Here’s the video, and below it are my notes. Enjoy!
The conventional path for white-collar career advancement that’s been around since the end of World War II is being dismantled. It used to be that you’d land an entry-level role, learn through work that starts as simple tasks but gets more complex as you go, and gradually climb the corporate ladder. That’s not the case anymore. If you’ve been working for five or more years, you’ve seen it; if you’re newer to the working world, you might have lived it.
Jones opens the video with these worrying stats:
This isn’t a temporary freeze but a structural shift where the “training rung” of the ladder is being removed. Those repetitive, easier tasks that you assign to juniors (summarizing meetings, cleaning data, drafting low-stakes documents) are exactly what generative AI now handles, and it’s getting better at it all the time.
As a result, the “ladder” is being disassembled while people are still trying to stand on it. Entry-level roles now require experience that entry-level jobs no longer provide because AI has cannibalized the work that used to serve as the learning ground [00:55]. Jones argues that in a world where the passive route of “doing your time”to get promoted is vanishing, the only viable strategy left for career survival and growth is cultivating extreme high agency.
High agency sounds like a feeling of confidence, self-assuredness, or empowerment. It’s best understood through the theory of Locus of Control, which psychologist Julian Rotter developed in the 1950s.
Jones proposes a mental exercise [1:55]: draw a circle and list all major life elements (promotions, skills, family, economy). For low-agency individuals, significant factors like promotions or learning requirements fall outside the circle, perceived as things determined by managers or the market. For high-agency individuals, absolutely everything falls inside the circle.
The high agency mindset dictates that while you cannot control external events, you can control the way you respond, and by extension, your trajectory (sounds like the modern stoicism that’s popular in Silicon Valley circles, as well as at my former company Auth0).
When a high-agency person encounters a barrier that seems outside their control, they reframe it with a four-word Gen Z expression: “That’s a skill issue” [03:23]. Whether it’s lacking a technical skill or not knowing how to navigate office politics, they view the obstacle not as an immovable wall, but as a gap in their own abilities that can be bridged through learning and adaptation.
Jones took the time to address the valid criticism that this mindset ignores systemic unfairness or is that “bootstrap mentality” that ignores structural problems. He argued that high agency is actually most critical for those with the least privilege. He observes that people from disadvantaged backgrounds often display higher agency because they lack the safety nets that more advantaged people have, which often leads them to be more passive [4:48]. When failure isn’t an option, you put in the effort not to fail.
While no one literally controls whether they get laid off, the high-agency mindset focuses on controlling the response: where to direct energy, what to learn next, and how to pivot.
However, Jones warns that an internal locus of control can be taken too far, leading to the tendency to blame yourself for everything that goes wrong. The goal isn’t to beat yourself up for every setback. Instead, it’s to channel that internal orientation into a “challenge” mindset. Instead of thinking “I failed because I’m inadequate,” the high-agency approach is “I haven’t found the right angle of attack yet, but I can figure it out” [5:41]. This distinction, which looks a lot like “growth mindset,” turns potential anxiety into a strategic focus on solving problems.
Jones’ thesis is that AI is the “greatest equalizer for agency that has ever existed” because it acts as a force multiplier for anyone willing to act [5:59]. Barriers that previously required years of expensive education or access to elite networks, such as coding a website, analyzing complex data, or launching a marketing campaign, can now be overcome by a single individual with a laptop and determination. AI doesn’t care about your pedigree; it simply responds to questions and executes commands.
This technological shift allows high-agency individuals to bypass traditional gatekeepers. Jones shares examples of people (including the creator of Base44) moving from dead-end situations to running scaling businesses not because of luck, but because they used AI to relentlessly patch their skill gaps [6:12]. In this new era, if you don’t know a programming language or a business concept, AI allows you to learn and implement it simultaneously, effectively turning “skill issues” into temporary speed bumps rather than dead ends.
A critical consequence of the AI era is the acceleration of the gap between high and low-agency individuals. Jones notes that while this difference used to play out over decades, AI now makes the separation visible in months [7:33]. High-agency people leveraging AI can accomplish 10 to 100 times more than their passive counterparts, compressing career trajectories that used to take twenty years into a fraction of the time (supposedly; consider the myth of the 10x developer). Conversely, career stagnation that once took a decade to notice (you sometimes see this in “company lifers”) now becomes apparent almost immediately.
This acceleration means that waiting for permission or the next rung of the ladder to appear is a strategy for failure. The people currently being tapped for leadership are those who combine high agency with “AI-native” thinking, leading them to redefine roles instead of just filling them [8:11]. In an organizational structure that is inherently malleable and constantly disrupted by scaling intelligence, titles don’t matter. Instead, what really matters is generating value and outcomes.
Jones talks about what he calls the “Say/Do Ratio” as a measure of high agency. It’s the gap between saying you will do something and actually doing it.
Most people have a poor ratio, letting weeks or months pass between intention (“I’m going to learn this skill!” or “I’m going to hit the gym daily!”) and action. They’re either hit by “analysis paralysis” or waiting for perfection [12:37]. High-agency individuals shrink the distance between “say” and “do.” They start immediately, even when they feel unprepared or uncomfortable.
AI serves as a powerful accelerator for improving this ratio by helping users “ship halfway-done” work (think “Minimum Viable Product”) or get past the “blank page” problem instantly.
Jones cites Kobe Bryant as a prime example of this mindset. Bryant viewed nervousness not as an emotion to be managed, but as an information signal that he hadn’t prepared enough, which is a variable that he could control [11:38]. Similarly, in the AI age, preparation and execution are more accessible than ever, allowing those with high agency to move from idea to prototype without getting stuck in the “planning” phase.
The combination of high agency and AI is reshaping the business landscape, and the surge in solo founders and “lean” billion-dollar companies. Jones points out that the share of startups with solo founders has nearly doubled since 2015, and we’re approaching the era of the one-person billion-dollar company [15:13]. He cites the example of solo founder Maor Shlomo, who built Base44 from a side project to an $80 million exit in six months without a full-time team or venture capital, simply by pushing code to production 13 times a day [16:20].
This trend proves that AI allows individuals to operate with the output capacity of entire teams. Founders and operators can now “speedrun” through obstacles that used to require hiring specialists, whether it’s understanding server-side architecture or generating marketing materials. The constraint on building a massive business is no longer headcount or capital, but the agency of the founder to utilize AI to extend their own capabilities and solve problems [16:47].
In the end, the high-agency mindset is grounded in an obsession with pushing value into the world. Jones describes this as a belief that the world is “bendable”: if you generate enough value and contribute enough, the world will eventually respond in your favor [18:15].
This orientation prioritizes contribution over extraction; instead of asking “What can I get?”, high-agency people ask “What can I create?”. Simply put, you get what you give.
This perspective shifts the focus from waiting for opportunities to making them. If you approach AI as a tool to expand your locus of control, you can systematically knock down barriers between you and your goals. Jones concludes that the future belongs to those who don’t wait for the old structures to return but instead use their agency to build, ship, and learn now, viewing the current disruption not as a threat, but as an unprecedented opportunity for growth [21:44].
Here’s what’s happening in the thriving tech scene in Tampa Bay and surrounding areas for the week of Monday, January 26 through Sunday, February 1!
This list includes both in-person and online events. Note that each item in the list includes:
✅ When the event will take place
✅ What the event is
✅ Where the event will take place
✅ Who is holding the event

Tuesday at 10:00 a.m. (online): Standing out on LinkedIn takes more than just having a profile. It takes intention, clarity, and the right approach. This live webinar is designed to help professionals cut through the noise and get noticed by recruiters, hiring managers, and industry peers. Led by the Computer Coach Career Services team, this session breaks down how LinkedIn actually works and how to use it as a tool for visibility, connection, and career growth.
Find out more and register here.
Tuesday at 5:30 at Hidden Springs Ale Works (Tampa): It’s the last Tuesday of the month, which means it’s time for another TampaTech Taps & Taco Tuesday! Come connect with industry peers, have some of Hidden Springs’ fine beers at 15% off, and of course, free tacos!
No speakers, no presentations — just great conversations and a raffle (because that’s way more fun!)
Thursday at 4:00 p.m. at American Legion Post 138 (Tampa): It’s the January 2026 Tampa/MacDill AFB Orange Call!
In a military context, an “orange call” refers to an alert signaling a heightened cybersecurity state of readiness.
This orange call’s purpose is to gather and network amongst fellow communicators, guardians, and enablers of all ranks, titles, and experience levels, share resources and seek professional development. They will conduct an informal meet & greet and discuss MacDill communicators and missions, including the increasing role of cyber and the importance of defending our nation’s networks.
It’s also an opportunity for anyone looking for a job or internship — you get to make a 2-minute elevator pitch! Same for anyone looking to hire.
Find out more and register here.
Friday, starting at 8:00 a.m. at the Hilton Downtown (Tampa): Tampa Bay Generative AI Meetup is partnering with the Seventh Annual Tampa Official Cybersecurity Summit!
This is the must-attend event for CISOs and senior leaders looking to strengthen resilience, reduce risk, and align security with business goals. Join top executives, innovators, and experts for a full day of actionable insights, cutting-edge solutions, and high-impact networking. Experience interactive panels, exclusive solution showcases, and strategic discussions that go beyond theory to deliver real-world results, all complemented by a catered breakfast, networking lunch, and closing cocktail reception.
Also, Tampa Bay Generative AI Meetup organizer James Gress will be on the AI and Emerging Tech at the 2026 Security Frontline panel at 11:10!
Find out more and register here (use CSS26-TAMPABAYGENAI for free admission!)
| Event name and location | Group | Time |
|---|---|---|
| Tampa Cybersecurity Summit Hilton Tampa Downtown |
Tampa Bay Generative AI Meetup | 8:00 AM to 5:00 PM EST |
| Computer Repair Clinic 2079 Range Rd |
Tampa Bay Technology Center | 8:30 AM to 12:30 PM EST |
| Friday Board Game Night Bridge Club |
Tampa Gaming Guild | 5:30 PM to 11:00 PM EST |
| MTG: Commander FNM Critical Hit Games |
Critical Hit Games | 6:00 PM to 11:00 PM EST |
| Taps & Drafts | EDH/MtG Night 1Up Entertainment, Tampa |
Nerdbrew Events | 7:00 PM to 9:00 PM EST |
| Modern FNM Sunshine Games | Magic the Gathering, Pokémon, Yu-Gi-Oh! |
Sunshine Games | 7:00 PM to 10:30 PM EST |
| Friday Pokemon Tournament Sunshine Games | Magic the Gathering, Pokémon, Yu-Gi-Oh! |
Sunshine Games | 7:30 PM to 11:30 PM EST |
| Return to the top of the list | ||
| Event name and location | Group | Time |
|---|---|---|
| ICEBREAKER Social Game Day ♀️♂️ Park Shore Condos – Community Rec Room |
Groupies Got Games | 1:00 PM to 4:00 PM EST |
| Sunday Gaming Tampa Bay Bridge Center |
Tampa Gaming Guild | 1:00 PM to 11:00 PM EST |
| Control (January’s Game of the Month) HOB Brewing |
Dunedin-Palm Harbor Video Game Book Club | 2:00 PM to 4:00 PM EST |
| Sunday Chess at Wholefoods in Midtown, Tampa Whole Foods Market |
Chess Republic | 2:00 PM to 5:00 PM EST |
| D&D Adventurers League Critical Hit Games |
Critical Hit Games | 2:00 PM to 7:30 PM EST |
| Sunday Pokemon League Sunshine Games | Magic the Gathering, Pokémon, Yu-Gi-Oh! |
Sunshine Games | 4:00 PM to 8:00 PM EST |
| Sew Awesome! (Textile Arts & Crafts) 4933 W Nassau St |
Tampa Hackerspace | 5:30 PM to 8:30 PM EST |
| Continuing adventures in the setting of Symbaroum. |
St Pete and Pinellas Tabletop RPG Group | 5:30 PM to 9:30 PM EST |
| A Duck Presents NB Movie Night Discord.io/Nerdbrew |
Nerd Night Out | 7:00 PM to 11:30 PM EST |
| Return to the top of the list | ||

How do I put this list together?
It’s largely automated. I have a collection of Python scripts in a Jupyter Notebook that scrapes Meetup and Eventbrite for events in categories that I consider to be “tech,” “entrepreneur,” and “nerd.” The result is a checklist that I review. I make judgment calls and uncheck any items that I don’t think fit on this list.
In addition to events that my scripts find, I also manually add events when their organizers contact me with their details.
What goes into this list?
I prefer to cast a wide net, so the list includes events that would be of interest to techies, nerds, and entrepreneurs. It includes (but isn’t limited to) events that fall under any of these categories:
If we have a term like “vibe coding,” where you build an application by describing what you want it to do using natural language (like English) and an LLM generates the code, we probably should have an equal opposite term that’s catchier than “traditional coding,” where you build an application using a programming language to define the application’s algorithms and data structures.
I propose the term grind coding, which is short, catchy, and has the same linguistic “feel” as vibe coding.
Having these two terms also makes it clear that there’s a spectrum between these two styles. For instance, I’ve done some “mostly grind with a little vibe” coding where I’ve written most of the code and had an LLM write up some small part that I couldn’t be bothered to write — a regular expression or function. There’ve also been some “most vibe with a little grind” cases where I’ve had an LLM or Claude code do most of the coding, and then I did a little manual adjustment afterwards.