momojo

The more I ponder this, the more I wonder: They're always after higher, more signal-rich tokens. What could be more rich than its own weights?

As someone with friends in the mathematics community, they've expressed similar sentiments.

I have to wonder if this is the equivalent of teleporting back in time and finding Marco Polo or any of those early explorers who traveled for the love of the game (and fame and money), and opening up Google Maps on your phone and showing them the zoomed out world. And showing them any island or village they could name.

Thank you for replying. Yes I also think its lame that we have to use the "YC" sticker or "SF-based" heuristics to determine a company's validity but we live in world full of snake oil and vaporware and signal:noise nowadays is crazy high.

Props to you for going out and making things happen but given what I know about your company from your

a) claude-coded website b) faceless twitter

most people or investors would conclude you're a bot at best, a scam at worst.

I don't say any of this with condescension (on rereading my first post, I'm sorry if the tone was harsh).

Thanks to whoever posted this 11yo gem. I've never read it. Its humbling and encouraging to see someone willing to post his fumblings even in his 50's. I feel like he'd been lambasted or mocked had he posted this today on substack or twitter.

As a younger man I was more of the "Just say what you mean, get straight to the point" kind of guy. I think what changed for me is that I learned that people are often much more interesting than their opinions. Going to someone wanting one-word answers to everything (outside of a work context) can become very impersonal and extractive. Its reductionist. It's assuming you're the only one with deep thoughts, conflicted feelings on certain topics, and interesting opinions.

They don't even do the robotics, they just do the data gathering.

How is this on the front page? Its not a YC company. They have no internet presence besides a Claude website. 0 followers on X/twitter. No public mentions of funding or votes-of-trust. No names to vouch for them.

Can OP or founders comment?

1. What's the node + aws story? Did you stick with aws or stay but try a different serverless tech? 2. Is lambda/serverless overhyped? I'm worried about reaching for it too soon.

I'd also add that they're hoping Jevon's Paradox also leads to a whole new segment of users who would have never reached for a classifier in the first place, given the barrier to entry.

> "[I don't understand what it's actually doing under the hood, or why we should be excited.] Jev feels more and more like a glorified if/else block"

You should be excited because there's so many low-hanging classification problems (e.g. "Is this email spam?", "Is this yelp review happy or sad or neutral?") that a "cheap" LLM is overkill for. It really should be this cheap, and now Jev is the first to do it well and do it at scale.

If I was explaining it to my mom, I'd say "Classifying 1000 yelp reviews used to cost $50. Now it costs 5¢, at similar accuracy"

This is one of those masterpieces that I'm surprised hasn't been scooped up by Netflix and turned into a movie.

Its not that I don't like it as a game, but it's just so chock full of character.

The premise alone is so compelling; in the Land of the Dead, even dead men chase money. Even with the literal afterlife a train ticket away, you have conmen and good guys living (or dying?) like there's no end of the line.

Love it. One of those rare pieces of art that continues to live in my head rent-free.

I don't think this is a perfect analogy, but i think it's closest to the original articles declaration.

I wish they had stayed this as the very first paragraph.

Maybe I'm too stupid to grok the original declaration. Does anyone have a better summation?

> The world ships more than a billion capable phones, tablets, and laptops a year, most with a chip built for exactly this work, paid for and idle most of the day. Run the model there and the economics flip: no per-call cost, no round-trip, and nothing leaves the device.

This. I run small models (>50MB) for bio-imaging/biotech applications, it feels like every README implies that you need a discrete GPU to get started. While some do, many, especially the most useful ones, do not. Sure it matters if you're also going to do fine-tuning, but I believe your typical user just wants to detect some nuclei and get some cell-body ratios.

The laptop on your desk won't be running Meta's SAM, but it has more than enough compute to crunch 100's of your H&E slides overnight.