
Poetiq is developing recursively self-improving AI reasoning systems for LLMs, offering a faster and cheaper alternative to training new LLMs from scratch. According to Ian Fischer, co-founder and co-CEO of Poetiq, their system, the Poetiq metasystem, generates systems that outperform underlying language models without incurring massive expenses, effectively vaccinating against the "bitter lesson." Poetiq's systems have achieved state-of-the-art results on benchmarks like ARC-AGI v2 and Humanity's Last Exam, demonstrating improvements in reasoning and deep knowledge extraction. The system leverages code, prompts, and data to optimize reasoning strategies, often surpassing the performance gains from prompt optimization alone. For startups seeking to enhance their AI agents, Poetiq offers a way to achieve state-of-the-art performance and stay ahead of the curve as new models emerge.
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