Jordan Taylor

About

Trying to reduce risks from the highly capable machine learning systems around the corner. I work on interpretability, evaluation, and (mis)generalization properties of machine learning systems. Previously: tensor networks. I wrote a guide to graphical tensor notation for mechanistic interpretability, did a machine learning/ neuroscience internship in 2020/2021, attended the Machine Learning for Alignment Bootcamp (MLAB) in Berkeley, 2022, and the ML Alignment & Theory Scholars (MATS) Program in 2024, supervised by Lee Sharkey and Dan Braun from Apollo Research. Recently I interned at the NTT Physics & Informatics (PHI) Laboratories under Jess Riedel, before another internship at Center for Human-Compatible Artificial Intelligence under Erik Jenner.

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Tastemaker
Tastemaker

Forums

7h ago

Which tools would you recommend for smoother streaming in a new Android application?

I ve recently launched an Android application and I m working on improving the streaming experience. I m particularly interested in reducing buffering and handling different network speeds more efficiently.

For developers who have worked on video-based apps, which tools or services would you recommend for adaptive bitrate streaming, CDN delivery, video encoding, and performance monitoring? I d like to choose a setup that can remain reliable as the user base grows.

5d ago

Credits stop working the moment two actions are 12x apart in cost

Credits look like a solution to variable cost. They're really a way of moving the variance onto the user without telling them.

In Arteza a quick edit and a full multi shot render are about 12x apart in what they cost us to run. Both are priced in the same unit. So someone learns an exchange rate from the cheap action, builds a mental model, then spends a third of their balance in one click and feels robbed. That isn't a pricing bug. We asked them to hold a cost model in their head that we never showed them.

What's worked is putting the credit cost on the button before the click instead of in a docs table. Boring fix, and it cut the where did my credits go messages more than any price change we made.

The part I haven't solved is failures. A bad output still burned the compute. Refund it and people retry until they like the result. Don't refund and credits feel like a slot machine. We refund and eat it, which won't scale.

7d ago

How much time do you spend repeating context in Claude?

Curious if this is just me or other devs face it too. I use Jira and GitHub MCPs inside claude code to fetch my tickets and complete them as autonomously as possible.

But it always keeps messing up finding the correct repos, branching properly or delivering a PR without CI failing. And I end up repeating instructions and copy-pasting CI errors and asking to fix it. I tracked this and I spent on avg 75mins a day repeating context and instructions.

Anyone also facing this or found a way around it?

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