josh_carterPDX

Joined 10 years ago

Karma
752
Submissions
401
Member since
Dec 31
Serial Entrepreneur, Startup Mentor, Venture Capitalist
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Recent submissions

Comment · 19 days ago
When I first saw the link, I thought, “Oh cool! A new platform using the Thunderbird name!”

Then I realized it was Mozilla’s app. And just like that, the excitement was gone.

I try not to bad-mouth products, but Thunderbird and I did NOT get along. Clunky integrations, a painful Gmail connection, and basic functionality issues made it one of the worst email clients I’ve ever used.

Of course, I’m also annoyingly picky about my tools, so maybe it’s a me problem.

Comment · 1 month ago
If it works the way it says it does, I'd be happy to buy merch as a way to support the team behind this!
Comment · 5 months ago
I guess it would depend on the role.
Comment · 5 months ago
> Are you saying the people who have been working for Meta had no other options? That would be a ridiculous claim.

The point is that there have been many, many options and yet they chose to interview for Meta and take the offer.

Bold assumption.

Comment · 5 months ago
This is a tough one because I've been there. I have worked for orgs that don't align with my values, but when you're in there you aren't thinking that you are contributing to the absolutely horrible crap they're doing. You just keep telling yourself, "I just do this one little thing." And that's enough to convince yourself that it's ok. You're keeping your values and morals intact.

Saying that, I'm sure if more of them had options they'd jump in a heartbeat.

Comment · 1 year ago
Unlike chess or Go, where both players see the entire board, poker involves hidden information, your opponents’ hole cards. This makes it an incomplete-information game, which is far more complex mathematically. The AI must reason not only about what could happen, but also what might be hidden.

Even in 2-player No-Limit Hold’em, the number of possible game states is astronomically large — on the order of 10³¹ decision points. Because players can bet any amount (not just fixed options), this branching factor explodes far beyond games like chess.

Good poker requires bluffing and balancing ranges and deliberately playing suboptimally in the short term to stay unpredictable. This means an AI must learn probabilistic, non-deterministic strategies, not fixed rules. Plus, no facial cues or tells.

Humans adapt mid-game. If an AI never adjusts, a strong player could exploit it. If it does adapt, it risks being counter-exploited. Balancing this adaptivity is very difficult in uncertain environments.

Comment · 1 year ago
I agree with most of this except the overcommunicating part. If you're setting the right expectations, overcommunicating may be mistaken for micromanaging.

Managers are judged by outcomes, not by contribution. Good leaders know how to shield their team from the chaos above while shielding the managers above from the challenges of managing many different personalities. They are a conduit for collaboration and inspiration.

Bad leaders are chaos agents and are the main drivers of attrition and should be rooted out quickly. They are a poison pill.

Comment · 1 year ago
This reminded me of an old app that would scan the MAC addresses of devices already connected to a paid WiFi network. You would then just change your MAC to one that already paid for the WiFi, and then reset it once you were done.
Comment · 1 year ago
This needs to be a model for other states to follow. Too often, incarcerated people are left with very few real options to have a viable career beyond some sort of physical trade like construction, hospitality, or food service. And while all of those career options are great, they do not often provide a real living wage.

Hopefully, we see more of this throughout the country!

Comment · 1 year ago
While I agree with some of the statements made in the article, I don't think everything is doom and gloom. There is still a place for early-stage VC for founders looking to scale.

While I agree that AI is making it easier to launch things, there are so many other ancillary things that require human capital that AI still hasn't solved for, and I don't see that changing in the next 10-15 years. Call me a boomer, but there are a lot of companies that need to grow, and VC funding is a great solution for them.

I will say, however, seeing larger funds change to evergreen funds or even to a more PE model should make everyone pay attention. Adapt or die, right?

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