Eric Florenzano @ericflo
Building assistance! Used to make AR/VR. Before that made mobile apps. Before that made web things. People first, then products, systems, data. he/him eflorenzano.com San Francisco, CA Joined March 2008-
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Shopify's LLMs beat frontier models on a range of tasks at a fraction of the cost. The reason: we put systems in place that enable them to improve themselves, learning from a range of commerce tasks every day. We're presenting our Model Optimization Flywheel at @ICMLconf: a continuous pipeline that turns Shopify's product expertise into robust evals, mines low-scoring conversations, critiques them, repairs them, and feeds them back into the model. Then we compress the prompts without losing quality, so we can make it faster and cheaper. We present an example of the flywheel working at scale: our GraphQL agent. Serving cost dropped from $27M to $1M annualized (−96%). We compressed our system prompt 4× and still beat frontier models on quality. @Drewch and @cmazzaanthony will share concrete recipes, quality-cost-latency trade-offs, and a blueprint you can actually build from. 📅 Monday, July 6 · 11:30am–12:30pm KST 📍 COEX, Hall D1 Link in thread. 👇
< scene > "ok so. the plan. if we say we're dangerous, we can finally get ourselves regulated. and we gotta make it so they'll have no choice to. like, show them how easy it'll be to automagically steal money or something." "uh huh..." "so then we can say 'ohoy! those other guys are dangerous too!' and then we'll also be able to get them regulated too. it'll be so expensive and difficult to comply, we'll be able to slow all those little guys out of business." "okay..." "any questions?" "yeah... uh... don't you think the regulating bit might be playing with fire?" "nahhh, the govt is full of idiots. we'll do all the work for them. we'll even make the regulatory rules too. and then we can just run circles around them with stories about geopolitical tensions and benefitting humanity and stuff. they'll eat it all up." "... won't they catch on?" "of course they won't. do you know anyone smart in the govt? i don't. all the smart people i know are physicists solving worlds biggest problems." "right, yeah, makes sense." "trust me on this, i've been workshopping this plan for months with [INSERT AI MODEL] and had it push back on me a TON. this is foolproof. these shmucks wouldn't know what hit them until it's too late. this is the best outcome. we have to be the ones who control this tech before it gets misused in the wrong hands. it must be us. our existence depends upon it. humanity depends on us. US!" < / scene >
In cryptography, a padding oracle attack works like this: you probe a system, and how it responds reveals something about your own input. You learn the game by playing it. Working on River has challenged my thinking about human-computer interaction in a way nothing else has, and that analogy kept nagging at me. Working with an AI agent in public surfaces something you don't get in a private window: you see how people think. The questions they ask, how they frame them, where they get stuck. River doesn't just flow through your work. It reflects it; and as an engineer learning from some of Shopify's best, that visibility is everything. It's how I've learned best & it's how I'm still learning. That's the ripple I didn't anticipate, all of us figuring out how to play. So... if you could ask an oracle anything, what would you actually ask? I'd ask if I'm onto something here, or losing it. Maybe both. (It's been a total honour to be a part of this effort, and we're just getting started 😝)
@mitsuhiko DSV4f + this advisor.ts pi extension I've found to be a nice combo - a call out to a frontier model every once in a while is still relatively cheap, but can help the open model a lot gist.github.com/ericflo/dd2998…
It has been a privilege and a blast to contribute to this effort! It's really the best to be able to see all the incredible things people are already doing with River, and make those things better
@tnm I always wondered what ever happened to Manhattan DB. It was planned to be open sourced from what I remember, but then never was. blog.x.com/engineering/en…
@shazow Very good questions imo experienced devs have a real advantage but only if they rapidly progress through their grief cycle and adapt, now and onwards. Categorically rejecting or ignoring the new layer would be a mistake.
@DavidSHolz @nearcyan Random but seeing this interaction in the TL reminded me of your old SVVR talk that for me was one of the more inspirational of that era - hard to believe it's been 10 years, 2015. Things did get weird but differently than predicted youtu.be/xAUG6prB2nA
This is three.js running on the Exosphere. 🤯 Rendering in realtime from a browser at 8K / 60fps. Here’s how Shopify just pulled it off 👇
@johnschulman2 Fun to see "tinker" now :) Looks great!
This Jimmy Kimmel FCC threat thing is full anti-speech fascistic nonsense and is a huge breach of the republic. I do not talk like this lightly.
Today @Shopify is open sourcing the tool we use for optimizing glTF 3D models. 🔧 Tweak compression settings per texture ⚡ See changes immediately 🧰 Mesh compression options 🌐 Hosted online & free 👇 Check the thread for details
@kalomaze Interesting compared to x.com/kalomaze/statu…
so are we all just gonna sleep on the finding that entropy collapse doesn't happen on GRPO when you filter out positive advantage samples from the batch and, while it converges slower rewards wise, it does it in a way that doesn't make the model have less variability
That means that it's possible to send byte sequences directly to the steering wheel in the format it expects. Logitech doesn't seem to publish this spec anywhere, but with Wireshark + USBCap I was able to reverse engineer the exact bytes to send to the wheel to rumble.
This is a GIANT sleeper feature. Every Shopify storefront now exposes an MCP endpoint with tools to query merchant's catalog, look up store info, build a cart, and order status! Docs: shopify.dev/docs/apps/buil… — this instantly turns any MCP-capable agent into authoritative commerce agent.
Use the global Shopify Catalog to build apps and agents that search products across millions of Shopify businesses. New MCP tools enable store chatbots to find products and make purchases, and the Knowledge Base app lets merchants edit FAQs given to buyers in AI shopping chats.
@kalomaze I run an indie Beat Saber alternative called Soundboxing where all the maps are user generated (it predates Beat Saber) and have something like 4TB+ of user generated beatmap data & replays. Have always wondered about doing something like this. Please keep sharing what you find!
@jazzychad App Clips sound like a great idea, and are convenient for the user, but will tank your app installs - nobody ever converts from app clip to full app - so not usually wise from a business or customer acquisition POV
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