Sidney Swift
@sidneyswift
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Building an AI agent record label @ https://t.co/HSSTYib16o
Joined March 2010
I started as an intern grabbing coffee for Lil Wayne. Ten years later, I was producing for Beyoncé, Nicki Minaj, and Jason Derulo. Platinum records. Long nights. But not sustainable with a family. So I moved from the studio into the business side - major labels. A&R.
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I’m convinced that AGI won’t come from a single “perfect” model, but from multiple models looping together, challenging and refining each other’s answers in real time. Think about this…half the time you spend with LLMs is reminding them to avoid assumptions, check their work,
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"Born in the USA": How "Springsteen: Deliver Me from Nowhere" Captured Lightning in a Bottle Listen to the full Filmmaker Toolkit podcast on the film, in theaters now from @20thcentury
https://t.co/xcuU7I3gKn
indiewire.com
'Deliver Me From Nowhere' director Scott Cooper explains: Why it’s in a movie about 'Nebraska,' what really happened, and how it was recreated.
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4 Main Approaches to LLM Evaluation https://t.co/h5vYG7AGaI
magazine.sebastianraschka.com
Multiple-Choice Benchmarks, Verifiers, Leaderboards, and LLM Judges with Code Examples
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turns out, senior engineers accept more agent output than juniors. this is because: - they write higher-signal prompts with tighter spec and minimal ambiguity - they decompose work into agent-compatible units - they have stronger priors for correctness, making review faster and
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I finally found the clearest way to explain how modern AI systems are actually built… Most people talk about “agents” like they’re magic. In reality, it’s a simple stack: 1. Prompts The smallest unit. They tell the model how to think. 2. Tools Functions the model can call to
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Every time I hear the first line of Billie Ellish birds of a feather I think of Big Sean I don’t fuck with you. 😭
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We really need to replace the whole music industry plumbing with stablecoins. Totally invisble to everyone. not speculative. Just instant payments, splits, transparency, attribution.
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Over the past year, talking with labels, distributors, and music companies, one thing is clear: there is already an AI capability overhang in the industry. The technology is ready, but adoption is not. Most of the roadblocks are operational. Imagination: teams do not yet see
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A quick thought for anyone looking for a job… We’re in a strange moment where 90% of non-tech candidates either: • Think AI will replace them • Think it’s going to destroy humanity • Or they’re curious but “too busy” to learn it This is your edge. It’s a massive arbitrage
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