marvinkennis

Joined 15 years ago

Karma
229
Submissions
60
Member since
Jul 31
Co-founder at Rectangle (rectanglehq.com) UX @Google, Gmail. HCI @CMU.

We’re hiring engineers! hn {at} rectanglehq.com

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Recent submissions

Comment · 5 months ago
They should really just park themselves on the side of the road (or observe in real time), wait for another car to go first, then follow that path
Comment · 1 year ago
Comment · 1 year ago
Looks like an amazing product. Been playing around with it for a few mins. The UI is quite buggy and jumps around a lot (Chrome, MacOS), and seems to auto-refresh on the organizations page, which makes curating lists impossible. What's a good way to keep providing feedback?
Comment · 1 year ago
It would suck to get to bar 51,248 only to find out it's now permanently closed
Comment · 1 year ago
Comment · 1 year ago
Rectangle | Chicago (US), on-site | Full-Time | Equity

We're looking to hire a dedicated backend engineer at Rectangle. We're looking to solve the communication and collaboration problems in the global supply chain.

If you are (or know!) someone who has thought deeply about distributed coordination, have strong opinions on conflict resolution, or get excited about building systems that are resilient to crazy amounts of chaos, I'd love to talk to you!

Over the past ~6 months my co-founder and I have been hard at work building our product, soon helping coordinate billions of dollars worth of shipments. Our customers love what we've been building for them, we've got revenue, and are backed by leading VCs in the industry.

If you're interested in solving some of the most challenging problems at the intersection of technology and logistics, don't hesitate to reach out.

hn [@] rectanglehq.com

Comment · 2 years ago
Comment · 2 years ago
Thanks for the suggestions! Will implement these. Caching is a great idea.
Comment · 2 years ago
Rectangle | Software engineer | Full-time | Chicago USA | Onsite | https://rectanglehq.com

The global supply chain has a collaboration problem. It's a mess of TMSs, ERPs, WhatsApp, emails, and spreadsheets. For the last 50 years, it's been solved with brittle EDI integrations to bridge walled gardens. We're taking a different approach. We aim to reshape how the supply chain collaborates and as a result redefine how trillions of dollars of goods get moved around the world.

We’re a small product team who have worked on anything from foundational technology at Flexport, self-driving cars, to core AI experiences and products at Google. We’re looking to bring a high level of craft to an industry that runs on incredibly outdated software.

If you're interested in learning more, send us an email at [email protected].

Comment · 2 years ago
I mean obviously predicting tokens in the context of LLM output requires planning. But planning tokens doesn’t generalize. This is evident when you train an LLM on a small data set and ask it about any unseen variation of it.

There are many examples of slightly modified popular riddles that are easy to solve by reasoning about them, but LLMs always fall back to the most likely output from their training data.

Comment · 2 years ago
This is one of those things I’d love to be wrong on. I think your point on combining them with other models is interesting.

Do you think that Markov chains can reason and plan? Dijkstra’s algorithm? Curious where you draw the line

Comment · 2 years ago
A lot of the hype around LLMs and the unfounded promises of them solving complex tasks autonomously seem to stem from a lack of understanding on how these models actually work.

The tech is impressive and has its uses, but we shouldn’t pretend like a token predictor can somehow reason and plan.

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