
Solo founder, strategist & MTS at @OffLabsInc đď¸ I'll figure it out 𼡠passionate futurist đ¤ #BuildFirst #StayHumbleStayHungryStayFocused #MoveFast
Silicon Valley, CA
Joined July 2010
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Tom Rush retweeted
Someone recreated âLose Yourselfâ by stitching together 187 random movie clips to form the lyrics.
[đď¸ Ross Thompson / RjSuspect]
Tom Rush retweeted
Everyone âhad that idea.â Almost nobody did the 10,000 hours of boring work to build it.
Tom Rush retweeted
Most people have no idea what it actually takes to be a founder. They talk about vision, grit, or passion. Those words are props.
What you really sign up for is a life where every decision feels like it costs something real. You will spend years being misunderstood. By your team, your family, even the people you hire to help you. You will fail in public and still need to keep the energy up in private. Every founder lives with the weight of knowing that you can do everything right and still get crushed by luck, timing, or somebody elseâs mistake.
Founders arenât braver than anyone else. They just get used to uncertainty, then stop waiting for clarity. Most of your wins wonât feel like wins at all. The first revenue will be too small. The first team will outgrow you or leave. The first product that feels right will barely matter to the market. You will doubt yourself in private, sometimes every week. The founders who last figure out how to keep moving while the ground shifts underneath them.
Most outsiders want the founder badge but none of the scars. They want the upside, not the drag. The hardest part is sticking around after every plan gets blown up and you have to rebuild with less optimism and more scar tissue. What makes it work isnât relentless hustle or some mythical trait. Itâs learning to make peace with constant discomfort, and then making decisions anyway.
If you need constant reassurance, youâll give up before the real work begins. If you want everyone to like you, youâll never make the calls that matter. If you canât handle months where nothing feels certain, this life will eat you alive.
But if you can hold your own in chaos, get better at being wrong, and still want to show up and try again, you just might have a shot at building something that matters.
Thatâs what it actually takes. And nobody cares until you make it work.
Tom Rush retweeted
Entrepreneurship is trading years of your life to find out which of your ideas were good.
Tom Rush retweeted
# Black October
For anyone who knows me even somewhat well, it's clear that I am a 99th percentile tech optimist. However, the vibes have shifted for me quite a bit in the last 18 hours, and I feel a moral imperative to share what I'm thinking and feeling with my circles so that everyone can understand, and hopefully take seriously, what's happening right now. I think October 2026 will have many chapters written about it in the history books.
You know those scenes in financial movies like Margin Call where someone realizes that they're all fucked, and no one else sees it yet? And that person feels like they're crazy, and then suddenly everyone is pulling an all-nighter in a boardroom and freaking out? Yeah, that's kind of how this is feeling right now in the SF/Bay Area/AI circles.
We're 48 hours into what is being called Black October. In the last 2 days there have been several dozen cyber attacks which, in isolation, would each have been the worst to happen in an entire calendar year. Every sector from government to education to big tech and banks is being massively affected, and people are starting to freak out.
In a nutshell, what's happened is that frontier AI models have gotten to a point where they are as advanced as the most sophisticated programmers, with one critical difference: they can work 24/7, and you can spin up 10,000 of them with a single command and they'll work together tirelessly until they accomplish their task. The most advanced models today are from companies like Anthropic and OpenAI, whose current best technology is so good that they haven't been able to roll it out to everyone yet because of the national security risks it poses.
Meanwhile, the best open source models (where anyone can just download the model weights and do whatever they want with them, uncensored) are slightly behind the frontier but still 90-95% as capable. These models, developed primarily in China, are being used by black hat hackers to wreak havoc on the Western capitalist structure. Presumably, this has been part of China's plan the entire time, and we're seeing its implications fall out in real time.
In red-pilled AI circles, we've been sharing and reading papers called things like "Situational Awareness" and "AI 2027" for the last year or so, which at the time felt a bit like near-term speculative fiction. They laid out the case for why Artificial General Intelligence (AI smarter than any human at any knowledge task) and Recursive Self-Improvement (models that are able to use themselves to get better) weren't half-baked future ideas anymore, but instead an inevitable outcome of the linear progress that's happening.
These papers would then talk about things like "takeoff scenarios," trying to envision how that moment would come to be and what it would be like when it happened. It would either be a "slow takeoff" that would play out over the course of months and quarters, happening subtly and only obvious to a few. Or, it would be a "fast takeoff" where it would pretty much happen instantly, like a bit flipping from 0 to 1.
From everything that I can see and am feeling, we are currently experiencing the fast takeoff scenario. Beyond the crazy security vulnerabilities that have come out recently, there have also been massive breakthroughs in life sciences, fundamental computer science, materials science, and pure mathematics that have all landed in the same time frame. While I still firmly believe that AI will be a net positive for humanity, it's more clear to me than ever that the societal and individual risk is very real, and is playing out NOW.
For as much conviction as I have that this is happening, the thing that's caused me to lose sleep is that I don't really know what to do about it, or more importantly, what to tell you, reader, to do about it. So, the best I can do is make a few suggestions that have always been a good idea but are more timely now than ever:
Set up 2-factor authentication for everything. I use Duo.
Use a password manager across your devices. I use 1Password.
Get an identity protection app set up. I use Alta.
Move your IoT devices to their own network. Claude helped me do this.
And last, but certainly not least, if you've been avoiding leaning into AI, see this as a catalyst to wake up and start using it. Don't just use the chat mode version of ChatGPT/Claude; click that Code/Work button and see how easily you can have AI write code to help you with your job. One of the biggest vulnerabilities was in a massively popular programming language called PHP, and the prompt that set it off was literally, "Find vulnerabilities in php."
This is an unprecedented time for humanity, but as we've done with many things before, we will prevail so long as we are kind, loving, and open-minded to the world.
Much love.
Tom Rush retweeted
Great advice from Jeff Bezos:
âWhen youâre on the field, be on the field. But remember, you canât always be on the field. There has to be a time-out, halftime. You have to heal. Recover. The show must go on, sure, but the game must stop, now and then, for the players to catch their breath.â
Rant that no one asked for:
My general take about consumer AI is that 99% of the things we've seen so far are super far-removed from reality
Most people feel like they don't have money to spend right now, so the use-cases around agents booking flights or trips or booking reservations or shopping just don't appeal to the average American consumer
I would argue that things that consumers purchase or "do" frequently enough (like ordering on Amazon, or calling Ubers, etc.) were obvious/annoying enough/frequent enough use-cases where we built amazing software UI/UX over the last decade that's been optimized to near ultimate efficiency that adding AI or agents on top would actually be making it *less* efficient. Like really *worth-it* use cases are generally "one-clickable" by great consumer products/platforms already
There's a lot of magical moments/wow factors/sci-fi things with agents that come from super annoying workflows (like booking flights or wrangling personal errand stuff in gmail or etc.) but are just not frequent enough for the average person. They're actually the long-tail. For example, 20% of the world's population has flown on an airplane at least once in their lifetime, meaning 80% of people globally have never set foot on a plane. Only 11%-15% of the global population flies in any given year!
This is not me saying that consumer AI is dumb, I'm actually extremely excited and optimistic, but it kind of goes back to things we've always known about consumer, which is:
1. Save/make consumers money
2. Make consumers entertained or famous
(And, of course, vices)
Even like, regardless of your views on prediction markets/sports betting, I think you have to understand that comes from a place of the average person feeling like they 1) don't have enough so 2) they want to do what they can to jump the socioeconomic rungs
Anyway, there's an extremely *wide* space of opportunity and I'm very excited to see the absolutely insane new AI/innovative stuff that builders come up with, but also I really want to see things that aren't just dressed up versions of 2010s prosumer/productivity software (and the problems that came with it)
P.S. The 90/10/1 rule still applies to consumer: most consumers want to *consume* (and lurk) rather than create!
Would love to have composer predictions on Codex Remote too @OpenAIDevs pretty please & thx in advance. MVP FEATURE đŤśđ
how hard can it be?
Jensen Huang on why founders donât need to be right from day one, but they do need to be able to learn quickly:
âThe technology that founded the company turns out to be exactly wrong.â
âI went down to Fryâs, and I bought three textbooks... I brought them back to the company. I gave them to the engineers.â
âEverybody would have thought that NVIDIA started out as world leaders in 3D graphics. We learned it from a textbook.â
âThe big lesson for me is technologyâs changing all the time. So long as youâre able to confront reality, so long as you are able to learn, the technology itself actually doesnât matter. Since then, NVIDIA has been inventing all kinds of technology."
"We approach everything with the same attitude. If itâs important to do, weâre going to go learn it. How hard can it be? It always turns out to be much, much harder than we expect. But you go into it with the attitude, how hard can it be?â
Regret minimization has been a major driver for my building @OffLabsInc. It's been far from easy so far, but I'd rather walk this path than look back on an act of omission later. #RiskEverythingRegretNothing


















