How A Team Of 7 Keeps Breaking AI Benchmark Records
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The world is changing quickly. Try things every day with AI. Last summer, Ian took a weekend to use GPT-5 to build an iPhone app, something he hadn't done in a decade. It was fast and easy 8 months ago; now it's even faster. Don't limit yourself—use AI for anything you imagine to make the world better.
Welcome to another episode of the Light Cone. Ian Fischer is co-founder and co-CEO of Poetic, building recursively self-improving AI reasoning harnesses for LLMs. Previously, he spent a decade as a researcher at Google DeepMind and founded a mobile devtools company through YC.
Poetic builds a recursively self-improving system, the holy grail of AI where AI makes itself smarter. Core insight: achieve recursive self-improvement faster and cheaper than other approaches, which require training new LLMs from scratch costing hundreds of millions and taking months.
Anthropic or OpenAI will come along and eat your lunch in the next model release.
Frontier labs like Anthropic, OpenAI, and Google explore recursive self-improvement but typically train new models for every step.
Startups want to leverage next models without fine-tuning costs of millions to hundreds of millions, which become obsolete with new frontier models. Poetic systems always outperform out-of-box models and are compatible with new models for instant performance bumps, without changes. Optimization is much cheaper than fine-tuning.
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