Alexander Spangher
@AlexanderSpangh
@bloomberg PhD fellow, PhD in computer science at @usc studying creativity/planning in NLP. Former data scientist @nytimes and studied music at @JuilliardSchool
✨✨✨Hello everyone, I’m on the faculty job market this year.✨✨✨ I’m completing my PhD at USC, where I study agentic planning in creative contexts. But before I get deeper into my research, I really want to tell you a little bit about myself :)
My colleague @AlexanderSpangh and I are trying to film a demo for our piano autopilot on a modern Disklavier. If you're in London or LA and have access to one (or know someone who does), please DM me! #robotjazz
I feel like Abundance is the new Power Broker. * Each gives a sense of wondrous revelation * They’re about the same thing (maybe with opposite takeaways) * People are really interested. I feel like every time I pull it out, people stop and ask about it. Highly recommend!

Is the bitter lesson/scaling-is-everything an incorrect dogma, given how important data curation, filtering, and quality data synthesis is? Or do they fit together, somehow? Genuinely curious
Nice blog post. If you're applying to a CS PhD and considering academia after you graduate, you should read this, it's very real: jeffhuang.com/computer-scien…
CoT is simply a way to get autoregressive models to do discrete latent variable modeling -- reasoning is just mimicking compute-heavy synthetic data. Apple's findings no "thinking" is happening is unsurprising. We wouldn't call PGMs or VAEs "thinkers" machinelearning.apple.com/research/illus…