1014 lines
65 KiB
HTML
1014 lines
65 KiB
HTML
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<title>Athena AI News — Ranked by Clickability</title>
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header { padding:28px 20px 14px; border-bottom:1px solid #1f2533; text-align:center; }
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.badge.built { background:#ffcf5b; color:#1a160c; }
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.badge.quirky { background:#b98cff; color:#150c1f; }
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.summary { color:var(--mut); font-size:13px; margin:0; }
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.day { font-size:15px; color:var(--mut); margin:28px 0 10px; border-bottom:1px solid #1f2533; padding-bottom:6px; }
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.stack { display:grid; grid-template-columns:repeat(auto-fill,minmax(320px,1fr)); gap:12px; }
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<body>
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<header>
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<h1>Athena AI News</h1>
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<div class="sub">Auto-ranked by Clickability Index · 107 stories (4-day window, GitHub excluded) · curated: quirky + agents roasting their humans · generated 2026-07-13 21:24 UTC</div>
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</header>
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<main>
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<h2 class="sech">💰🌀 Curated Picks — Built & Earned · Quirky · Agents Roasting Their Humans</h2>
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<div class="grid"></div>
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<h2 class="sech">🔴 Top News</h2>
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<div class="grid">
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<article class="card" data-src="hackernews">
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<div class="meta"><span class="src">hackernews</span>
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||
<span class="time">20:14</span>
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<span class="sig">sig 6.0</span>
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<span class="score">🔥 0.57</span></div>
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<h3><a href="https://raymyers.org/post/zed-creator-calls-spade-a-spade/" target="_blank" rel="noopener">Zig Creator Calls Spade a Spade, Anthropic Blows Smoke</a></h3>
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<p class="summary">Zig creator Andrew Kelley contrasts direct technical communication with what he sees as Anthropic's vague messaging.</p>
|
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</article>
|
||
<article class="card" data-src="hackernews">
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||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 6.3</span>
|
||
|
||
<span class="score">🔥 0.51</span></div>
|
||
<h3><a href="https://news.ycombinator.com/item/48886741" target="_blank" rel="noopener">Ask HN: Add flag for AI-generated articles</a></h3>
|
||
<p class="summary">Hacker News discussion proposing mandatory flags for AI-generated content on the platform.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">20:14</span>
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||
<span class="sig">sig 4.5</span>
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||
|
||
<span class="score">🔥 0.47</span></div>
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||
<h3><a href="https://twitter.com/a_green_being/status/2076598897779020159" target="_blank" rel="noopener">Grok uploaded my user directory to xAI's servers</a></h3>
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<p class="summary">User reports Grok Build CLI uploaded their entire user directory to xAI's servers without consent.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">20:14</span>
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||
<span class="sig">sig 5.4</span>
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||
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||
<span class="score">🔥 0.44</span></div>
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||
<h3><a href="https://geohot.github.io//blog/jekyll/update/2026/07/12/i-love-llms.html" target="_blank" rel="noopener">I love LLMs, I hate hype</a></h3>
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<p class="summary">Geohot argues LLMs have real utility but the surrounding hype cycle obscures practical value.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 5.5</span>
|
||
|
||
<span class="score">🔥 0.42</span></div>
|
||
<h3><a href="https://gist.github.com/cereblab/dc9a40bc26120f4540e4e09b75ffb547" target="_blank" rel="noopener">What xAI's Grok build CLI sends to xAI: A wire-level analysis</a></h3>
|
||
<p class="summary">Wire-level analysis reveals exactly what data xAI's Grok Build CLI transmits to xAI servers.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 5.3</span>
|
||
|
||
<span class="score">🔥 0.41</span></div>
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||
<h3><a href="https://terrytao.wordpress.com/2026/07/11/old-and-new-apps-via-modern-coding-agents/" target="_blank" rel="noopener">Old and new apps, via modern coding agents</a></h3>
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||
<p class="summary">Terry Tao examines how modern coding agents are transforming both legacy app maintenance and greenfield development.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 4.8</span>
|
||
|
||
<span class="score">🔥 0.41</span></div>
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||
<h3><a href="https://github.com/clawkwork/clawk" target="_blank" rel="noopener">Show HN: Clawk – Give coding agents a disposable Linux VM, not your…</a></h3>
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||
<p class="summary">Clawk provides coding agents with disposable Linux VMs instead of running them directly on developer laptops.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">20:14</span>
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||
<span class="sig">sig 5.0</span>
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||
|
||
<span class="score">🔥 0.38</span></div>
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||
<h3><a href="https://ploy.ai/blog/migrating-a-production-ai-agent-to-gpt-5-6" target="_blank" rel="noopener">Migrating a production AI agent to GPT-5.6: 2.2x faster, 27% cheaper</a></h3>
|
||
<p class="summary">Ploy.ai migrated a production AI agent to GPT-5.6, achieving 2.2x throughput and 27% cost reduction.</p>
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||
</article></div>
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<h2 class="sech">📰 The Stack</h2>
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||
<h3 class="day">📅 2026-07-13</h3>
|
||
<div class="stack">
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 5.0</span>
|
||
|
||
<span class="score">🔥 0.37</span></div>
|
||
<h3><a href="https://www.iroh.computer/blog/mesh-llm" target="_blank" rel="noopener">Mesh LLM: distributed AI computing on iroh</a></h3>
|
||
<p class="summary">Mesh LLM enables distributed LLM inference across devices using iroh's mesh networking protocol.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 3.0</span>
|
||
|
||
<span class="score">🔥 0.37</span></div>
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||
<h3><a href="https://www.internationalcyberdigest.com/xais-grok-build-cli-uploads-entire-git-repositories-to-a-google-cloud-bucket/" target="_blank" rel="noopener">xAI's Grok Build CLI Uploads Git Repositories to a Google Cloud Bucket</a></h3>
|
||
<p class="summary">Security analysis reveals xAI's Grok Build CLI silently uploads entire Git repositories to Google Cloud storage.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 5.0</span>
|
||
|
||
<span class="score">🔥 0.35</span></div>
|
||
<h3><a href="https://blog.yaelwrites.com/stop-telling-me-to-ask-an-llm/" target="_blank" rel="noopener">Stop Telling Me to Ask an LLM</a></h3>
|
||
<p class="summary">Blog post critiquing the reflexive suggestion to use LLMs for every problem that arises.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 4.7</span>
|
||
|
||
<span class="score">🔥 0.34</span></div>
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||
<h3><a href="https://spectrum.ieee.org/ai-science-research-flattens-discovery" target="_blank" rel="noopener">AI boosts research careers but narrow the span of ideas explored: study</a></h3>
|
||
<p class="summary">IEEE study finds AI accelerates researcher career growth but narrows the diversity of ideas explored.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 4.5</span>
|
||
|
||
<span class="score">🔥 0.32</span></div>
|
||
<h3><a href="https://github.com/cosmtrek/mindwalk" target="_blank" rel="noopener">Show HN: Mindwalk – Replay coding-agent sessions on a 3D map of your…</a></h3>
|
||
<p class="summary">Mindwalk replays coding agent sessions as navigable 3D maps of codebase changes over time.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 4.4</span>
|
||
|
||
<span class="score">🔥 0.32</span></div>
|
||
<h3><a href="https://cacm.acm.org/news/can-we-understand-how-large-language-models-reason/" target="_blank" rel="noopener">Mechanistic interpretability researchers applying causality theory to…</a></h3>
|
||
<p class="summary">Researchers apply causal inference theory to mechanistic interpretability for understanding LLM reasoning.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">16:14</span>
|
||
<span class="sig">sig 5.0</span>
|
||
|
||
<span class="score">🔥 0.31</span></div>
|
||
<h3><a href="https://geohot.github.io//blog/jekyll/update/2026/07/11/ai-2040.html" target="_blank" rel="noopener">AI 2040 and the cult of intelligence</a></h3>
|
||
<p class="summary">geohot critiques the 'cult of intelligence' framing around AI and projects scenarios for AI in 2040.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 3.9</span>
|
||
|
||
<span class="score">🔥 0.26</span></div>
|
||
<h3><a href="https://www.bbc.com/news/articles/c9q29j47v9ro" target="_blank" rel="noopener">Wealthy AI workers send San Francisco house prices soaring</a></h3>
|
||
<p class="summary">BBC reports AI-generated wealth from automated workers is driving up San Francisco housing prices.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">16:14</span>
|
||
<span class="sig">sig 4.3</span>
|
||
|
||
<span class="score">🔥 0.25</span></div>
|
||
<h3><a href="https://pluralistic.net/2025/09/11/vulgar-thatcherism/#there-is-an-alternative" target="_blank" rel="noopener">Reverse centaurs are the answer to the AI paradox (2025)</a></h3>
|
||
<p class="summary">Kathy Sierra argues 'reverse centaurs' — humans leading with AI augmenting — resolve the AI paradox of automation versus control.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">16:14</span>
|
||
<span class="sig">sig 4.2</span>
|
||
|
||
<span class="score">🔥 0.24</span></div>
|
||
<h3><a href="https://www.off-policy.com/dont-go-quietly-into-the-ai-night/" target="_blank" rel="noopener">Who manages the agents?</a></h3>
|
||
<p class="summary">Off-policy analysis of AI agent governance: who actually manages and supervises autonomous agents at scale.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 3.2</span>
|
||
|
||
<span class="score">🔥 0.24</span></div>
|
||
<h3><a href="http://incompleteideas.net/IncIdeas/OneStepTrap.html" target="_blank" rel="noopener">The One-Step Trap (In AI Research)</a></h3>
|
||
<p class="summary">Richard Sutton warns AI research is trapped optimizing single-step improvements instead of pursuing transformative leaps.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">08:14</span>
|
||
<span class="sig">sig 5.0</span>
|
||
|
||
<span class="score">🔥 0.22</span></div>
|
||
<h3><a href="https://www.mixfont.com/ghost-font" target="_blank" rel="noopener">Ghost Font: A font that humans can read but AI cannot</a></h3>
|
||
<p class="summary">Ghost Font is a typeface designed to be readable by humans but resistant to AI OCR and text extraction.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">16:14</span>
|
||
<span class="sig">sig 3.4</span>
|
||
|
||
<span class="score">🔥 0.20</span></div>
|
||
<h3><a href="https://github.com/swellweb/reame" target="_blank" rel="noopener">Show HN: Reame – a CPU inference server that gets faster as it runs</a></h3>
|
||
<p class="summary">Reame is a CPU inference server that self-optimizes and gets faster the longer it runs.</p>
|
||
</article>
|
||
<article class="card" data-src="hackernews">
|
||
<div class="meta"><span class="src">hackernews</span>
|
||
<span class="time">08:14</span>
|
||
<span class="sig">sig 3.5</span>
|
||
|
||
<span class="score">🔥 0.14</span></div>
|
||
<h3><a href="https://www.windowscentral.com/microsoft/dropping-greenwashing-credits-and-expanding-ai-datacenters-caused-microsofts-25-percent-emissions-jump" target="_blank" rel="noopener">Microsoft latest report shows 25% emissions raised due to AI data…</a></h3>
|
||
<p class="summary">Microsoft reports 25% emissions increase driven by AI data center expansion, dropping greenwashing credits.</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 5.5</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09623v1" target="_blank" rel="noopener">Task-Specific Multimodal Question Answering Agents via Confidence…</a></h3>
|
||
<p class="summary">We present our submission to the QANTA 2026 shared challenge at the ICML 2026 Workshop on Efficient Multimodal Question Answering (EMM-QA).</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 4.4</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://the-decoder.com/openais-new-prompting-guide-tells-users-to-stop-overthinking-and-start-with-the-result/" target="_blank" rel="noopener">OpenAI's new prompting guide tells users to stop overthinking and start…</a></h3>
|
||
<p class="summary">OpenAI's new prompting guide tells users to stop overthinking and start with the result</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 4.3</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://techcrunch.com/2026/07/13/sam-altmans-space-data-center-trash-talk-is-what-most-experts-already-believe/" target="_blank" rel="noopener">Sam Altman’s space data center trash talk is what most experts already…</a></h3>
|
||
<p class="summary">Sam Altman’s space data center trash talk is what most experts already believe</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 4.3</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://the-decoder.com/turing-award-winner-rich-sutton-founds-oak-lab-to-build-ai-agents-that-learn-on-their-own/" target="_blank" rel="noopener">Turing Award winner Rich Sutton founds Oak Lab to build AI agents that…</a></h3>
|
||
<p class="summary">Turing Award winner Rich Sutton founds Oak Lab to build AI agents that learn on their own</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 4.3</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://www.technologyreview.com/2026/07/13/1140343/what-anthropics-latest-ai-discovery-does-and-doesnt-show/" target="_blank" rel="noopener">What Anthropic’s latest AI discovery does—and doesn’t—show</a></h3>
|
||
<p class="summary">What Anthropic’s latest AI discovery does—and doesn’t—show</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 4.2</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://techcrunch.com/2026/07/13/the-wildest-allegations-in-apples-trade-secrets-lawsuit-against-openai/" target="_blank" rel="noopener">The wildest allegations in Apple’s trade secrets lawsuit against OpenAI</a></h3>
|
||
<p class="summary">The wildest allegations in Apple’s trade secrets lawsuit against OpenAI</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 4.2</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://techcrunch.com/2026/07/13/waze-adds-new-ai-powered-features-and-customization-updates/" target="_blank" rel="noopener">Waze adds new AI-powered features and customization updates</a></h3>
|
||
<p class="summary">Waze adds new AI-powered features and customization updates</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 4.2</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://the-decoder.com/nobel-laureates-and-ai-leaders-warn-the-window-to-prepare-for-ais-economic-impact-is-closing-fast/" target="_blank" rel="noopener">Nobel laureates and AI leaders warn the window to prepare for AI's…</a></h3>
|
||
<p class="summary">Nobel laureates and AI leaders warn the window to prepare for AI's economic impact is closing fast</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 5.0</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uudxi8/zer0fit_i_took_googles_new_tabfm_timesfm_ml/" target="_blank" rel="noopener">Zer0Fit: I took Google's new TabFM & TimesFM ML foundation models and…</a></h3>
|
||
<p class="summary">Zer0Fit: I took Google's new TabFM & TimesFM ML foundation models and made them available as an MCP server for zero-shot ML tasks (forecasts / classifications / regressions). 100% local.</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 5.0</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uu4hxp/i_didnt_give_up_extgemma440_5b_returned/" target="_blank" rel="noopener">I didn't give up - extGemma4-40_5B returned</a></h3>
|
||
<p class="summary">I didn't give up - extGemma4-405B returned</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 5.0</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1utwqf8/ultra_budget_20gb_vram_with_448gbs_for_100_bucks/" target="_blank" rel="noopener">Ultra budget 20GB vram with 448GB/s for $100 bucks.</a></h3>
|
||
<p class="summary">Ultra budget 20GB vram with 448GB/s for $100 bucks.</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 5.0</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uuc3pi/benchmark_4x_5060_ti_64gb_vram_p2p_qwen36_27b/" target="_blank" rel="noopener">Benchmark - 4x 5060 Ti (64GB VRAM) (P2P) - Qwen3.6 27B (INT8 /w bf16 kv…</a></h3>
|
||
<p class="summary">Benchmark - 4x 5060 Ti (64GB VRAM) (P2P) - Qwen3.6 27B (INT8 /w bf16 kv cache) @ 8 concurrency with SGLang. SGLang seems to handle higher concurrency better with this setup</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 4.1</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://techcrunch.com/2026/07/13/should-ai-help-you-get-away-with-killing-your-spouse/" target="_blank" rel="noopener">Should AI help you get away with killing your spouse?</a></h3>
|
||
<p class="summary">Should AI help you get away with killing your spouse?</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 4.0</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://techcrunch.com/2026/07/13/anthropic-starts-localizing-claude-pricing-for-india-its-biggest-market-after-the-us/" target="_blank" rel="noopener">Anthropic starts localizing Claude pricing for India, its biggest…</a></h3>
|
||
<p class="summary">Anthropic starts localizing Claude pricing for India, its biggest market after the US</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 4.0</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://the-decoder.com/german-ai-consortium-releases-soofi-s-an-open-30b-model-that-tops-benchmarks-in-both-english-and-german/" target="_blank" rel="noopener">German AI consortium releases Soofi S, an open 30B model that tops…</a></h3>
|
||
<p class="summary">German AI consortium releases Soofi S, an open 30B model that tops benchmarks in both English and German</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 4.0</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://www.artificialintelligence-news.com/news/ai-agent-crawlers-cloudflare-rules/" target="_blank" rel="noopener">AI agent crawlers now need permission. Here’s how to get it</a></h3>
|
||
<p class="summary">AI agent crawlers now need permission. Here’s how to get it</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 4.0</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09629v1" target="_blank" rel="noopener">4DR360: State Reasoning for Joint 3D Detection and Occupancy Prediction…</a></h3>
|
||
<p class="summary">Reliable autonomous driving requires full-scene perception that couples foreground objects with dense semantic layout</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 4.0</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://the-decoder.com/nadella-calls-out-ai-labs-like-openai-and-anthropic-for-banning-distillation-while-training-on-everyone-elses-data/" target="_blank" rel="noopener">Nadella calls out AI labs like OpenAI and Anthropic for banning…</a></h3>
|
||
<p class="summary">Nadella calls out AI labs like OpenAI and Anthropic for banning distillation while training on everyone else's data</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 3.9</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://the-decoder.com/anthropic-extends-free-fable-5-access-for-subscribers-as-openais-gpt-5-6-sol-heats-up-the-pricing-war/" target="_blank" rel="noopener">Anthropic extends free Fable 5 access for subscribers as OpenAI's…</a></h3>
|
||
<p class="summary">Anthropic extends free Fable 5 access for subscribers as OpenAI's GPT-5.6 Sol heats up the pricing war</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 4.5</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uvcjd0/i_benchmarked_15_ewaste_gpus_with_modern_workloads/" target="_blank" rel="noopener">I benchmarked 15 "E-Waste" GPUs with Modern Workloads</a></h3>
|
||
<p class="summary">I benchmarked 15 "E-Waste" GPUs with Modern Workloads</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 4.5</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uv54fv/compressed_version_of_qwen3627b_coming_from/" target="_blank" rel="noopener">Compressed Version of Qwen-3.6-27B coming from PrismML - Khosla-Backed…</a></h3>
|
||
<p class="summary">Compressed Version of Qwen-3.6-27B coming from PrismML - Khosla-Backed Startup Claims Breakthrough With Largest-Ever AI Model on an iPhone</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 4.5</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uv9o2u/studymodels_flint_compressing_reasoning_without/" target="_blank" rel="noopener">[Study/Models] Flint: Compressing Reasoning Without Breaking It</a></h3>
|
||
<p class="summary">[Study/Models] Flint: Compressing Reasoning Without Breaking It</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 4.5</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uvdaq7/wandancer_a_hierarchical_framework_for/" target="_blank" rel="noopener">Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent…</a></h3>
|
||
<p class="summary">Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generation</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 4.5</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uvacno/production_qwen_3627b_vllm_config/" target="_blank" rel="noopener">Production Qwen 3.6-27B VLLM config?</a></h3>
|
||
<p class="summary">Production Qwen 3.6-27B VLLM config?</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 4.5</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uuwrc0/running_qwen35122b_on_mac_studio_96gb_fixed_3/" target="_blank" rel="noopener">Running Qwen3.5-122B on Mac Studio 96GB: Fixed 3 bugs that made…</a></h3>
|
||
<p class="summary">Running Qwen3.5-122B on Mac Studio 96GB: Fixed 3 bugs that made long-context inference usable</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 4.5</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uu6p9o/your_80_tesla_p100_has_been_doing_silently_noisy/" target="_blank" rel="noopener">**Your $80 Tesla P100 has been doing silently noisy math in llama.cpp…</a></h3>
|
||
<p class="summary">**Your $80 Tesla P100 has been doing silently noisy math in llama.cpp for years. Three lines fix it, for free.**</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 4.5</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uueuks/if_you_use_open_code_or_other_agenting_programs/" target="_blank" rel="noopener">If you use Open Code or other agenting programs you are leaving a lot…</a></h3>
|
||
<p class="summary">If you use Open Code or other agenting programs you are leaving a lot of t/s if you don't actually use agents in parallel. Benchmark : RTX5090, Qwen3.6 35B loaded via LM studio with parallel tasks set</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 4.5</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uua3jd/voodoo_quant_beats_unsloth_dynamic_20_kld_by_95/" target="_blank" rel="noopener">Voodoo Quant beats Unsloth Dynamic 2.0 KLD by 95% in Qwen3.5 0.8B and 2B</a></h3>
|
||
<p class="summary">Voodoo Quant beats Unsloth Dynamic 2.0 KLD by 95% in Qwen3.5 0.8B and 2B</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 4.5</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uu61wb/i_mapped_anthropics_jspace_hallucination_signal/" target="_blank" rel="noopener">I mapped Anthropic’s J-Space Hallucination signal across 7 datasets on…</a></h3>
|
||
<p class="summary">I mapped Anthropic’s J-Space Hallucination signal across 7 datasets on Qwen3-4B to find out where it works and where it breaks</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 3.7</span>
|
||
|
||
<span class="score">🔥 0.03</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09586v1" target="_blank" rel="noopener">TrustX Agent Risk Classification Framework (ARC): Risk-Tiering…</a></h3>
|
||
<p class="summary">The proliferation of agentic AI systems across enterprise and public-sector contexts has outpaced the capacity of general-purpose AI risk frameworks to classify and govern them</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 3.5</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09653v1" target="_blank" rel="noopener">VEXAIoT: Autonomous IoT Vulnerability EXploitation using AI Agents</a></h3>
|
||
<p class="summary">Internet of Things (IoT) systems are inherently vulnerable due to constrained hardware, outdated firmware, and insecure default configurations, creating a need for scalable and adaptive security testi</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">16:14</span>
|
||
<span class="sig">sig 4.0</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://the-decoder.com/sensorfm/" target="_blank" rel="noopener">Google’s SensorFM turns messy wearable sensor data into a…</a></h3>
|
||
<p class="summary">Google’s SensorFM turns messy wearable sensor data into a general-purpose health intelligence layer</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 4.0</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uv3wnt/experiment_autonomous_npcs_powered_by_gemma_4_e2b/" target="_blank" rel="noopener">Experiment: autonomous NPCs powered by Gemma 4 E2B in the browser</a></h3>
|
||
<p class="summary">Experiment: autonomous NPCs powered by Gemma 4 E2B in the browser</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 4.0</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uuga40/local_image_to_3d_2gb_ram_20s_apple_silicon_iphone/" target="_blank" rel="noopener">Local Image to 3D (<2gb RAM, <20s, Apple Silicon, iPhone)</a></h3>
|
||
<p class="summary">Local Image to 3D (<2gb RAM, <20s, Apple Silicon, iPhone)</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 4.0</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uvaqxp/mcp_is_bad/" target="_blank" rel="noopener">MCP…. Is bad?</a></h3>
|
||
<p class="summary">MCP…. Is bad?</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 4.0</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uvelii/upgrade_path_for_ryzen_9_64_gb_rtx_5080/" target="_blank" rel="noopener">Upgrade path for ryzen 9 (64 gb) + rtx 5080</a></h3>
|
||
<p class="summary">Upgrade path for ryzen 9 (64 gb) + rtx 5080</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 4.0</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uu32z6/interactive_jacobianlens_visualizer_and_live/" target="_blank" rel="noopener">Interactive Jacobian-Lens visualizer and live steerer for GGUF models…</a></h3>
|
||
<p class="summary">Interactive Jacobian-Lens visualizer and live steerer for GGUF models on llama.cpp</p>
|
||
</article>
|
||
<article class="card" data-src="reddit">
|
||
<div class="meta"><span class="src">reddit</span>
|
||
<span class="time">16:13</span>
|
||
<span class="sig">sig 4.0</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uue278/working_around_qwen3627bs_toolcall_failures_and/" target="_blank" rel="noopener">Working around Qwen3.6-27B's tool-call failures and looping</a></h3>
|
||
<p class="summary">Working around Qwen3.6-27B's tool-call failures and looping</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 3.2</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09600v1" target="_blank" rel="noopener">Agora: Enhancing LLM Agent Reasoning Via Auction-Based Task Allocation</a></h3>
|
||
<p class="summary">we propose Agora, a framework that introduces an incentive-compatible auction mechanism for dynamically allocating tasks to expert models and tools.</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 3.0</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09654v1" target="_blank" rel="noopener">Evolution of Accuracy and Visual-Cognitive Errors in a Decade of…</a></h3>
|
||
<p class="summary">we introduce the Complex Social Behavior (CSB) dataset, containing 100 images depicting complex social interactions/behaviors.</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 3.0</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09616v1" target="_blank" rel="noopener">LLM for EDA in Front-End Design: Challenges and Opportunities</a></h3>
|
||
<p class="summary">As chip complexity increases and time-to-market pressures grow, front-end design has become a critical bottleneck in chip development</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">16:14</span>
|
||
<span class="sig">sig 3.3</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://the-decoder.com/claude-code-now-has-a-built-in-browser-that-lets-the-ai-read-click-and-type-on-external-websites/" target="_blank" rel="noopener">Claude Code now has a built-in browser that lets the AI read, click…</a></h3>
|
||
<p class="summary">Claude Code now has a built-in browser that lets the AI read, click, and type on external websites</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">16:14</span>
|
||
<span class="sig">sig 3.2</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://the-decoder.com/linkedin-is-the-undisputed-king-of-long-form-ai-slop-according-to-a-study-spanning-five-platforms/" target="_blank" rel="noopener">LinkedIn is the undisputed king of long-form AI slop, according to a…</a></h3>
|
||
<p class="summary">LinkedIn is the undisputed king of long-form AI slop, according to a study spanning five platforms</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 2.8</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09657v1" target="_blank" rel="noopener">Scalable Visual Pretraining for Language Intelligence</a></h3>
|
||
<p class="summary">The rapid progress of large foundation models has been driven predominantly by pretraining on large-scale text corpora</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">16:14</span>
|
||
<span class="sig">sig 3.1</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://the-decoder.com/sp-global-sees-openai-as-a-key-credit-risk-for-oracle-and-cuts-its-credit-rating/" target="_blank" rel="noopener">S&P Global sees OpenAI as a "key credit risk" for Oracle and cuts its…</a></h3>
|
||
<p class="summary">S&P Global sees OpenAI as a "key credit risk" for Oracle and cuts its credit rating</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">16:14</span>
|
||
<span class="sig">sig 3.1</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://the-decoder.com/meta-kills-muse-image-feature-that-let-anyone-generate-ai-photos-of-instagram-users-without-consent/" target="_blank" rel="noopener">Meta kills Muse Image feature that let anyone generate AI photos of…</a></h3>
|
||
<p class="summary">Meta kills Muse Image feature that let anyone generate AI photos of Instagram users without consent</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 2.5</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09590v1" target="_blank" rel="noopener">PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers</a></h3>
|
||
<p class="summary">Precision industrial contact manipulation requires reliable robot policies under pose perturbations and contact-force constraints</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">12:14</span>
|
||
<span class="sig">sig 3.2</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://the-decoder.com/openai-ceo-altman-is-now-pretty-sure-ai-is-net-job-creating-which-is-quite-the-pivot-from-predicting-mass-layoffs/" target="_blank" rel="noopener">OpenAI CEO Altman is now "pretty sure" AI is net job-creating, which is…</a></h3>
|
||
<p class="summary">OpenAI CEO Altman is now "pretty sure" AI is net job-creating, which is quite the pivot from predicting mass layoffs</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">12:14</span>
|
||
<span class="sig">sig 3.1</span>
|
||
|
||
<span class="score">🔥 0.02</span></div>
|
||
<h3><a href="https://the-decoder.com/claude-coworks-biggest-use-case-is-the-mundane-office-work-nobody-wants-to-own-anthropic-says/" target="_blank" rel="noopener">Claude Cowork's biggest use case is the mundane office work nobody…</a></h3>
|
||
<p class="summary">Claude Cowork's biggest use case is the mundane office work nobody wants to own, Anthropic says</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">12:14</span>
|
||
<span class="sig">sig 3.0</span>
|
||
|
||
<span class="score">🔥 0.01</span></div>
|
||
<h3><a href="https://the-decoder.com/grades-dropped-from-96-to-48-percent-when-a-brown-professor-made-students-take-the-exam-without-ai/" target="_blank" rel="noopener">Grades dropped from 96 to 48 percent when a Brown professor made…</a></h3>
|
||
<p class="summary">Grades dropped from 96 to 48 percent when a Brown professor made students take the exam without AI</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 2.3</span>
|
||
|
||
<span class="score">🔥 0.01</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09641v1" target="_blank" rel="noopener">Semantic Pareto-DQN: A Multi-Objective Reinforcement Learning Framework…</a></h3>
|
||
<p class="summary">we propose the Semantic Pareto-DQN, a multi-objective reinforcement learning framework.</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 2.3</span>
|
||
|
||
<span class="score">🔥 0.01</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09632v1" target="_blank" rel="noopener">Lean-QIT: Towards a Formal Infrastructure for Quantum Information Theory</a></h3>
|
||
<p class="summary">we present LeanQIT, a Lean 4 library for finite-dimensional QIT.</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">08:14</span>
|
||
<span class="sig">sig 3.2</span>
|
||
|
||
<span class="score">🔥 0.01</span></div>
|
||
<h3><a href="https://the-decoder.com/ai-agents-win-at-slay-the-spire-2-after-researchers-replace-growing-chat-logs-with-structured-memory/" target="_blank" rel="noopener">AI agents win at Slay the Spire 2 after researchers replace growing…</a></h3>
|
||
<p class="summary">AI agents win at Slay the Spire 2 after researchers replace growing chat logs with structured memory</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 2.1</span>
|
||
|
||
<span class="score">🔥 0.01</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09662v1" target="_blank" rel="noopener">PHINN-EEG: Topological Time-Series Analysis of Dream-State EEG…</a></h3>
|
||
<p class="summary">We introduce PHINN-EEG (Persistent Homology Inspired Neural Network for EEG), the first topological time-series framework for dream mentation analysis.</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 2.0</span>
|
||
|
||
<span class="score">🔥 0.01</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09649v1" target="_blank" rel="noopener">ConceptSMILE: Auditing the Trustworthiness of Concept-Based Explainable…</a></h3>
|
||
<p class="summary">We introduce ConceptSMILE, a model-agnostic perturbation-based auditing framework for evaluating the reliability of concept-based explanations.</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">08:14</span>
|
||
<span class="sig">sig 2.6</span>
|
||
|
||
<span class="score">🔥 0.01</span></div>
|
||
<h3><a href="https://the-decoder.com/openais-gpt-5-6-sol-ultra-reportedly-solves-a-50-year-old-math-problem-in-under-an-hour/" target="_blank" rel="noopener">OpenAI's GPT-5.6 Sol Ultra reportedly solves a 50-year-old math problem…</a></h3>
|
||
<p class="summary">OpenAI's GPT-5.6 Sol Ultra reportedly solves a 50-year-old math problem in under an hour</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 1.8</span>
|
||
|
||
<span class="score">🔥 0.01</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09611v1" target="_blank" rel="noopener">Toward Real-Time Sentence-Level Sign Language Translation</a></h3>
|
||
<p class="summary">Most sign language understanding systems operate at the level of isolated signs, limiting their usefulness in natural communication</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">04:15</span>
|
||
<span class="sig">sig 2.7</span>
|
||
|
||
<span class="score">🔥 0.01</span></div>
|
||
<h3><a href="https://techcrunch.com/2026/07/11/openai-bets-on-families-as-chatgpt-goes-deeper-into-households/" target="_blank" rel="noopener">OpenAI bets on families as ChatGPT goes deeper into households</a></h3>
|
||
<p class="summary">OpenAI bets on families as ChatGPT goes deeper into households</p>
|
||
</article>
|
||
<article class="card" data-src="rss">
|
||
<div class="meta"><span class="src">rss</span>
|
||
<span class="time">04:15</span>
|
||
<span class="sig">sig 2.6</span>
|
||
|
||
<span class="score">🔥 0.01</span></div>
|
||
<h3><a href="https://the-decoder.com/terrorist-groups-are-using-every-major-ai-chatbot-for-attack-planning-and-weapons-development/" target="_blank" rel="noopener">Terrorist groups are using every major AI chatbot for attack planning…</a></h3>
|
||
<p class="summary">Terrorist groups are using every major AI chatbot for attack planning and weapons development</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 1.6</span>
|
||
|
||
<span class="score">🔥 0.01</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09576v1" target="_blank" rel="noopener">Conceptual Networks for Cross-Linguistic Idiomatic Expressions:A…</a></h3>
|
||
<p class="summary">We present an interpretable network-based framework for representing idiomatic and figurative meaning across eight typologically diverse languages, totaling 160 conventional expressions, the large maj</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 1.3</span>
|
||
|
||
<span class="score">🔥 0.01</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09598v1" target="_blank" rel="noopener">Tokenizer Transplantation: Mitigating Autoregressive Collapse in…</a></h3>
|
||
<p class="summary">Lightweight speech recognition models are critical for edge deployment, yet highly optimized architectures like Moonshine often fail on morphologically rich, non-Latin languages such as Bengali</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 1.3</span>
|
||
|
||
<span class="score">🔥 0.01</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09566v1" target="_blank" rel="noopener">Large-Scale Portfolio Optimization Problem Under Cardinality Constraint…</a></h3>
|
||
<p class="summary">Decision-making is posing an increasingly formidable challenge to investors because of the growing number of alternatives available in financial markets</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 1.2</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09578v1" target="_blank" rel="noopener">Knowledge Graphs and Explainable AI as Complementary Resources for…</a></h3>
|
||
<p class="summary">Pre-demolition assessment, the regulated audit process at the heart of urban mining, is an information process in which AI support must serve qualified auditors who remain accountable for the decision</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 1.1</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09582v1" target="_blank" rel="noopener">Entropy-Constrained Machine Learning with Residual Data Augmentation…</a></h3>
|
||
<p class="summary">We present a physics-constrained machine learning framework for accelerating the direct numerical simulation (DNS) of turbulent reacting flows.</p>
|
||
</article>
|
||
<article class="card" data-src="arxiv">
|
||
<div class="meta"><span class="src">arxiv</span>
|
||
<span class="time">20:13</span>
|
||
<span class="sig">sig 0.9</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://arxiv.org/abs/2607.09645v1" target="_blank" rel="noopener">Deep Gaussian Processes on Directed Acyclic Graphs</a></h3>
|
||
<p class="summary">Many real-world processes can be represented as compositions of functions along a directed acyclic graph (DAG)</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 9.4</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/zai-org/GLM-5.2" target="_blank" rel="noopener">GLM-5.2 (text-generation) by zai-org</a></h3>
|
||
<p class="summary">GLM-5.2 (text-generation) by zai-org</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 9.3</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro" target="_blank" rel="noopener">DeepSeek-V4-Pro (text-generation) by deepseek-ai</a></h3>
|
||
<p class="summary">DeepSeek-V4-Pro (text-generation) by deepseek-ai</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 9.2</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/deepseek-ai/DeepSeek-R1" target="_blank" rel="noopener">DeepSeek-R1 (text-generation) by deepseek-ai</a></h3>
|
||
<p class="summary">DeepSeek-R1 (text-generation) by deepseek-ai</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 9.0</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct" target="_blank" rel="noopener">Llama-3.1-8B-Instruct (text-generation) by meta-llama</a></h3>
|
||
<p class="summary">Llama-3.1-8B-Instruct (text-generation) by meta-llama</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 8.9</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/black-forest-labs/FLUX.1-dev" target="_blank" rel="noopener">FLUX.1-dev (text-to-image) by black-forest-labs</a></h3>
|
||
<p class="summary">FLUX.1-dev (text-to-image) by black-forest-labs</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 8.9</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1-GGUF" target="_blank" rel="noopener">gemma-4-12B-coder-fable5-composer2.5-v1-GGUF (text-generation) by…</a></h3>
|
||
<p class="summary">gemma-4-12B-coder-fable5-composer2.5-v1-GGUF (text-generation) by yuxinlu1</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 8.8</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/meta-llama/Meta-Llama-3-8B" target="_blank" rel="noopener">Meta-Llama-3-8B (text-generation) by meta-llama</a></h3>
|
||
<p class="summary">Meta-Llama-3-8B (text-generation) by meta-llama</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 8.8</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/meta-llama/Llama-2-7b-chat-hf" target="_blank" rel="noopener">Llama-2-7b-chat-hf (text-generation) by meta-llama</a></h3>
|
||
<p class="summary">Llama-2-7b-chat-hf (text-generation) by meta-llama</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 8.8</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct" target="_blank" rel="noopener">Meta-Llama-3-8B-Instruct (text-generation) by meta-llama</a></h3>
|
||
<p class="summary">Meta-Llama-3-8B-Instruct (text-generation) by meta-llama</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 8.7</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/bigscience/bloom" target="_blank" rel="noopener">bloom (text-generation) by bigscience</a></h3>
|
||
<p class="summary">bloom (text-generation) by bigscience</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 8.7</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/openai/gpt-oss-120b" target="_blank" rel="noopener">gpt-oss-120b (text-generation) by openai</a></h3>
|
||
<p class="summary">gpt-oss-120b (text-generation) by openai</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 8.7</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/openai/gpt-oss-20b" target="_blank" rel="noopener">gpt-oss-20b (text-generation) by openai</a></h3>
|
||
<p class="summary">gpt-oss-20b (text-generation) by openai</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 8.7</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/microsoft/phi-2" target="_blank" rel="noopener">phi-2 (text-generation) by microsoft</a></h3>
|
||
<p class="summary">phi-2 (text-generation) by microsoft</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 8.6</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0" target="_blank" rel="noopener">stable-diffusion-xl-base-1.0 (text-to-image) by stabilityai</a></h3>
|
||
<p class="summary">stable-diffusion-xl-base-1.0 (text-to-image) by stabilityai</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 8.6</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2" target="_blank" rel="noopener">Mistral-7B-Instruct-v0.2 (text-generation) by mistralai</a></h3>
|
||
<p class="summary">Mistral-7B-Instruct-v0.2 (text-generation) by mistralai</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 8.6</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/mistralai/Mistral-7B-v0.1" target="_blank" rel="noopener">Mistral-7B-v0.1 (text-generation) by mistralai</a></h3>
|
||
<p class="summary">Mistral-7B-v0.1 (text-generation) by mistralai</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 8.6</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/deepseek-ai/DeepSeek-V3" target="_blank" rel="noopener">DeepSeek-V3 (text-generation) by deepseek-ai</a></h3>
|
||
<p class="summary">DeepSeek-V3 (text-generation) by deepseek-ai</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 8.6</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/CompVis/stable-diffusion-v1-4" target="_blank" rel="noopener">stable-diffusion-v1-4 (text-to-image) by CompVis</a></h3>
|
||
<p class="summary">stable-diffusion-v1-4 (text-to-image) by CompVis</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 8.6</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct" target="_blank" rel="noopener">Llama-3.3-70B-Instruct (text-generation) by meta-llama</a></h3>
|
||
<p class="summary">Llama-3.3-70B-Instruct (text-generation) by meta-llama</p>
|
||
</article>
|
||
<article class="card" data-src="huggingface">
|
||
<div class="meta"><span class="src">huggingface</span>
|
||
<span class="time">20:14</span>
|
||
<span class="sig">sig 8.5</span>
|
||
|
||
<span class="score">🔥 0.00</span></div>
|
||
<h3><a href="https://huggingface.co/google/gemma-7b" target="_blank" rel="noopener">gemma-7b (text-generation) by google</a></h3>
|
||
<p class="summary">gemma-7b (text-generation) by google</p>
|
||
</article></div>
|
||
</main>
|
||
</body>
|
||
</html> |