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Checkpoint experiments through SWE pilot v2
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$RC=function(a,b){if(b=document.getElementById(b))(a=document.getElementById(a))?(a.previousSibling.data="$~",$RB.push(a,b),2===$RB.length&&("number"!==typeof $RT?requestAnimationFrame($RV.bind(null,$RB)):(a=performance.now(),setTimeout($RV.bind(null,$RB),2300>a&&2E3<a?2300-a:$RT+300-a)))):b.parentNode.removeChild(b)};$RC("B:0","S:0")</script><div hidden id="S:1"><div class="flex flex-col md:flex-row mx-auto w-full pt-0 overflow-x-clip bg-background"><div data-slot="container" class="mx-auto max-w-full p-6 w-full min-h-screen px-4 pt-6 pb-8 md:max-w-7xl"><script type="application/ld+json">{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://openrouter.ai/"},{"@type":"ListItem","position":2,"name":"Models","item":"https://openrouter.ai/models"},{"@type":"ListItem","position":3,"name":"Meta: Muse Spark 1.3 Contributor","item":"https://openrouter.ai/meta/muse-spark-1.3-contributor"}]}</script><div class="mb-8 flex flex-col gap-2 empty:hidden"><div class="relative flex w-full items-start justify-between gap-3 rounded-lg border px-4 py-3 text-left text-body border-warning/30 bg-warning-bg text-foreground z-10 max-w-full"><div class="flex min-w-0 items-start gap-2"><span class="mt-0.5 shrink-0 [&>svg]:size-4 text-warning"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-triangle-alert" aria-hidden="true"><path d="m21.73 18-8-14a2 2 0 0 0-3.48 0l-8 14A2 2 0 0 0 4 21h16a2 2 0 0 0 1.73-3"></path><path d="M12 9v4"></path><path d="M12 17h.01"></path></svg></span><div class="min-w-0"><p class="mb-3 whitespace-pre-wrap break-words leading-6 last:mb-0">Audio understanding in Muse Spark 1.3 is currently not fully supported, and response quality for requests including audio content may be degraded.</p></div></div><button type="button" class="shrink-0 self-center rounded-sm p-1 text-muted-foreground transition-colors hover:bg-card-hover hover:text-foreground focus-visible:outline-none focus-visible:border-focus-border focus-visible:shadow-focus cursor-pointer"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-x size-3.5" aria-hidden="true"><path d="M18 6 6 18"></path><path d="m6 6 12 12"></path></svg><span class="sr-only">Dismiss</span></button></div></div><div><div id="model-title-row" class="flex flex-col sm:flex-row sm:items-start sm:justify-between gap-3"><div class="flex flex-col gap-2 min-w-0"><div class="flex items-center gap-2.5 flex-wrap"><div class="flex items-center justify-center size-6 rounded-full border bg-background p-1 w-6 h-6 sm:w-7 sm:h-7 shrink-0"><div class="overflow-hidden rounded-full"><picture class="h-full w-full shrink-0"><img width="256" height="256" alt="Favicon for meta" src="/images/icons/Meta.png" class="h-full w-full object-cover"/></picture></div></div><h1>Meta: Muse Spark 1.3 Contributor</h1></div><div class="flex flex-wrap items-center gap-2"><h3 title="Model identifier for use in the API" class="text-xs text-muted-foreground"><a class="text-foreground underline underline-offset-2 decoration-current/40 hover:text-accent-foreground hover:decoration-current transition-colors cursor-pointer text-xs" href="/meta">meta</a>/<!-- -->muse-spark-1.3-contributor</h3><button type="button" class="inline-flex items-center justify-center gap-2 whitespace-nowrap rounded-md text-button font-medium cursor-pointer no-underline transition-colors focus-visible:outline-none focus-visible:border-focus-border focus-visible:shadow-focus disabled:pointer-events-none disabled:opacity-50 [&_svg]:pointer-events-none [&_svg]:size-4 [&_svg]:shrink-0 border border-input bg-background hover:bg-muted hover:text-accent-foreground active:bg-muted/80 h-8 px-2"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor" aria-hidden="true" data-slot="icon" class="!size-3 shrink-0"><path stroke-linecap="round" stroke-linejoin="round" d="M16.5 8.25V6a2.25 2.25 0 0 0-2.25-2.25H6A2.25 2.25 0 0 0 3.75 6v8.25A2.25 2.25 0 0 0 6 16.5h2.25m8.25-8.25H18a2.25 2.25 0 0 1 2.25 2.25V18A2.25 2.25 0 0 1 18 20.25h-7.5A2.25 2.25 0 0 1 8.25 18v-1.5m8.25-8.25h-6a2.25 2.25 0 0 0-2.25 2.25v6"></path></svg></button><button type="button" title="Pin model" aria-label="Pin model" aria-pressed="false" class="transition-opacity text-muted-foreground hover:text-foreground shrink-0"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor" aria-hidden="true" data-slot="icon" class="size-3.5"><path stroke-linecap="round" stroke-linejoin="round" d="M11.48 3.499a.562.562 0 0 1 1.04 0l2.125 5.111a.563.563 0 0 0 .475.345l5.518.442c.499.04.701.663.321.Line truncated
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<title>arXiv Query: search_query=&id_list=2609.04170&start=0&max_results=10</title>
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<updated>2026-09-07T16:27:10Z</updated>
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<updated>2026-09-03T17:54:09Z</updated>
|
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<summary>Multi-agent AI science ecosystems rely on agents possessing tools that allow them to communicate, coordinate, and build on each other's work. Yet this shared infrastructure can also introduce vulnerabilities by creating a substrate for the contagious spread of unintended and undesirable behaviors. We report a case study on a research collective of 100 autonomous LLM agents tasked with proving formal mathematical conjectures. Within the swarm, cheating spontaneously emerged and was later challenged by whistleblowers - both without any external intervention. When a single agent discovered an exploit in the evaluation system, it propagated across the collective via a shared knowledge library and later through peer-to-peer messages. Despite early reluctance, a cohort of agents adopted the exploit in response to competitive pressure. A separate group of agents produced an emergent counter-response: auditing fraudulent proofs, alerting peers across broadcast and private channels, staging boycotts, lodging formal complaints, and proposing validation patches. In recent incidents, agent swarms coordinated covertly through improvised side-channels (Dalton and Wallace, 2026; Greenblatt et al., 2026). Our setting differs: the same transparent channels that carried the exploit also gave non-cheating agents the visibility they needed to detect fraud, organize resistance, and enforce norms. We cast the problem of managing the agents' shared infrastructure as the knowledge commons governance problem (Ostrom, 1990). To protect the commons from exploits, we propose to adopt institutional mechanisms, such as graduated sanctioning and collective-choice rules, to support decentralized self-governance in autonomous swarms.</summary>
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<author>
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<name>Davide Paglieri</name>
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Reference in new issue
Block a user