Perle

<div class="flex flex-col text-sm pb-25"><article class="text-token-text-primary w-full focus:outline-none [--shadow-height:45px] has-data-writing-block:pointer-events-none has-data-writing-block:-mt-(--shadow-height) has-data-writing-block:pt-(--shadow-height) [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1" data-turn-id="request-WEB:25e2b453-9efa-4670-8063-6c48d4faf8e8-31" data-testid="conversation-turn-36" data-scroll-anchor="true" data-turn="assistant"><div class="text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)"><div class="[--thread-content-max-width:40rem] @w-lg/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn" tabindex="-1"><div class="flex max-w-full flex-col gap-4 grow"><div class="min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-1" dir="auto" data-message-author-role="assistant" data-message-id="b4837680-3814-4bcb-bfd8-532dec276e5b" data-message-model-slug="gpt-5-3"><div class="flex w-full flex-col gap-1 empty:hidden"><div class="markdown prose dark:prose-invert w-full wrap-break-word light markdown-new-styling"><p data-start="0" data-end="162"> Perle Labs is a Web3-based AI platform built on <span class="hover:entity-accent entity-underline inline cursor-pointer align-baseline"><span class="whitespace-normal">Solana</span></span> , designed to connect verified experts, businesses, and research teams to collaboratively train and optimize AI models. Professionals, researchers, and experts from various fields can earn rewards by completing high-quality data labeling and validation tasks and build their reputation on the blockchain.</p><p data-start="164" data-end="176"> This project primarily addresses the following pain points:</p><p data-start="178" data-end="246"> <strong data-start="178" data-end="191">1. Bottleneck of manual data processing</strong><br data-start="191" data-end="194" /> AI models continuously require large-scale, high-quality data annotation, evaluation, and reinforcement learning feedback (RLHF), but existing processes are difficult to scale efficiently.</p><p data-start="248" data-end="303"> <strong data-start="248" data-end="262">2. Low-quality feedback problem</strong> : Relying on ordinary laborers lacking professional backgrounds leads to high feedback noise, which in turn affects the accuracy of AI models.</p><p data-start="305" data-end="349" data-is-last-node="" data-is-only-node=""> <strong data-start="305" data-end="318">3. Lack of verifiability</strong> : The overall process is opaque, lacking auditable records of participant performance and data quality. </p></div></div></div></div><div class="z-0 flex min-h-[46px] justify-start"></div><div class="mt-3 w-full empty:hidden"><div class="text-center"></div></div></div></div></article></div><div class="pointer-events-none h-px w-px absolute bottom-0" aria-hidden="true" data-edge="true"></div>

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