869 karma · joined November 2, 2012
Socials:
- bsky.app/profile/dustinfreeman.bsky.social
- calendly.com/dustinfreeman
- github.com/dustinfreeman
- instagram.com/escapecharacter
- linkedin.com/in/escapecharacter
- x.com/dustinfreeman
- reddit.com/user/escape_character
---
c27f1e0c7e4a9ffc8c9b517a8558cb56b95577326731df56f9a07c7bb825c1b5
[ my public key: https://keybase.io/dustinfreeman; my proof: https://keybase.io/dustinfreeman/sigs/t6HZgKzFFEvLySOv1tP5cfd8qLpaurawBzIXse1LafY ]
Now, I'm bootstrapping (in stealth) a B2B service with 3 employees. The basic service exists. To continue funding, I can get VC investment, or I can get business customers to pay up-front development costs, to customize to their use case.
Let's say for a normal customer, the service costs $X / month. I want to write a deal with a business customer where they pay $Y up front, for us to build the service for their use case. Maybe in return, we discount their usage cost: * their cost is $ 0.5 * X per month for Y/X months, OR * their cost is $ 0.5 * X per month for (1.5 * Y/X) months (like a loan with interest), OR * their cost is $ 0.7 * X in perpetuity (permanent discount), OR * no discount at all, and we the cost to the customer as early access.
If a company is offering a discount, sale, coupon, etc., they've done the math and determined the reduction in revenue to them is offset by your increased likelihood to purchase, or share in your mind. (Algorithmic) discounts are a technology in the sense that they're part of modern data science-driven consumerism. Just like going to a casino, the house is always going to win. So, I offer no mind share to these. I've bought many games from Steam sales I don't play, for an innocuous example.
I'm not going to throw out a coupon if it's thrust into my hand (e.g. Wonderville, a gaming bar I love in Brooklyn hands out wooden drink tickets and one is in my wallet.)
I never had a serious injury. Instead it would be minor injuries, that would make my ring finger 20% less responsive, that would totally mess up my typing cadence.
I tried capoeira, a non-contact martial art, for a while. This wasn’t as good for me as Taekwondo.
Detection technology on Board is much more robust. The MS Surface FTIR approach was lovely, but so over-featured no one could imagine a scoped-down (ie. cheaper) version of it.
When thinking through a claim of what AI can do, you can do the same. “AI” -> “just some guy”. If that doesn’t feel fair, try “AI” -> “some well-read, eager-to-please intern”.
With a new interaction model, it often matters more to build the path to get people there, not the new local maxima itself (unless you're going to get kids to adopt it first, but Wave was definitely not targeted at them).
The Wave "onboarding" experience definitely should have had more demo videos, had features that turned on or were discoverable slowly, or had sandbox rooms where you could try it out with basic bots. It's a major missed opportunity that Google didn't do this; it feels to me like Google didn't have an internal playtesting or dogfooding culture where they intentionally left some people out so they could be fresh. I wrote about how to build this culture here: https://dustinfreeman.org/blog/playtest-rituals/
But for real, I've also been working on large-scale photo/video management, and the question of where to keep additionally metadata has bothered me. It seems right to want to keep it "in" the file, and so I want to write it into EXIF, or even steganography, or something.
I’m asking because I’m in the midst of a computer vision project where I am testing an algorithm for robustness, and will start building out a synthetically worsened data pipeline.