We could make a license plate big enough that aliens could see it and know we are sophisticated.
HN user
escapecharacter
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c27f1e0c7e4a9ffc8c9b517a8558cb56b95577326731df56f9a07c7bb825c1b5
[ my public key: https://keybase.io/dustinfreeman; my proof: https://keybase.io/dustinfreeman/sigs/t6HZgKzFFEvLySOv1tP5cfd8qLpaurawBzIXse1LafY ]
Which sports are you into? I'll be looking for closed alpha testers shortly. Email me at dustin at hyperpan.cv
Automatically drawing hint lines has been a request from a few people. When I talk to personal trainers or athletes (new or serious) in various sports, I've tested out this concept by asking them what they'd want drawn. Turns out, it's so contextual, opinionated and subjective, I don't think there's a great approach unless I assume we have an unrealistic amount of context.
e.g., one case is kettlebell swings. You might want to see how consistent your swings are in a set, and between sets. To do this well, you'd need to reliably detect the kettlebell swing exercise using some N-way classifier. And then, correct for camera position. And then, center the relevant part of the body (is this shoulder? hips? turns out people have different opinions).
Instead, we're going to use a more generic visualization approach that doesn't try to be opinionated. But, I'm expecting to open-source the visualization front-end so it's tweakable by users.
Input: video of an exercise/workout/dance. Output: single collage image as summary.
Me+team have been working on a large scope problem this past year. We're hardening some of our internal tools, and choose this small-scope problem about a month ago. Results have been encouraging so far, though not yet non-sloppy enough to share. We'll release in about a month.
Going into this, I thought I'd be spending most of my time tuning computer vision. Instead, the majority of the time has been handling codec and ffmpeg behaviour edge cases.
Oh man, this sounds fun. But, the button is stuck at "Loading" and never completes. Is HN hugging it to death?
When I worked at Meta, in the NYC office, any time I had 2-3 hours midday without meetings, I'd use it for errands.
I’ve been paying Claude in cash by showing it a picture of $5 bills as I burn them. It says my account is good.
truth
I can't believe we got the dumbest version of Snow Crash
I mean, I've been shopping for a GUI file manager for a bucket, so I can collab with some non-technical people.
Of course later they renamed it to Eastern Defense Time, Pacific Defense Time, etc. so we have EDT, PDT today.
I got it late Feb 2020. Wasn't great to have that sound haunt me through the rest of the isolation.
in progress ;)
Or "alignment" which means "let's ensure the AIs recommend launching nukes only when it makes sense to, based on our [assumed objective] values"
GOOG-411 was insanely cool.
“delivery above recommended speed”
I’m working on a product related to “sensemaking”. And I’m using this abstract, academic term on purpose to highlight the emotional experience, rather than “analysis” or “understanding”.
It is a constant lure products and tools have to create the feeling of sensemaking. People want (pejorative) tools that show visualizations or summaries, without thinking about the particular visual/summary artifact is useful, actionable or accurate!
This is a EULA I'd love to read.
no
I'd love to know if this is compatible as embedded in a Jupyter Notebook.
Made in wordpress over a decade ago, and wordpress gradually enshittified. It's been a long-running wish to switch to something else, but it's never been important enough relative to other things I could be doing.
I would pay like $200/month if there was an LLM out there that I could only communicate with using an old-timey telegraph key and morse code.
The future of the economy is everyone owning 4 data centers
I guess this is great as long as you don't worry about audio sync?
Is it ethical to turn rats into gamers?
I am personally supportive of any research that continues to define my age as having just achieved adulthood.
But see, not all the data is local, and never will be. I need to be able to send a daemon off to Google Drive, Dropbox etc.
I've had trouble finding case studies of B2B development deals. My past experience includes lots of milestone-based development as a contracted solo dev.
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.
This is an odd take that might seem privileged, but: sales or coupons. Digital or physical.
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.)
Assuming it’s just regular online chess but you’re forced to share your location in real-time
To give proper credit: I don’t work at Board now, I just helped them explore the board game piece detection space over a year ago. The tech has done great work since then, really robustifying the detection algorithm and making experiences native to it.