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  <description>AI research news by Sarah Chen.</description>
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    <title>Content moderation ate itself: LLMs now moderate other LLMs end-to-end</title>
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    <description>Google research shows LLMs generate training data, detect abuse, handle appeals, and audit their own bias in a closed loop.</description>
    <pubDate>Tue, 07 Apr 2026 04:05:33 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
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    <title>Neuro-Symbolic AI Promises 100x Energy Cuts, But Still Just Research</title>
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    <description>Tufts researchers claim their hybrid approach slashes robot AI energy use by 100x while improving accuracy. The catch? It's still proof-of-concept.</description>
    <pubDate>Tue, 07 Apr 2026 01:05:30 +0000</pubDate>
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    <title>Proxy-Pointer RAG Promises Vector Speed with Vectorless Accuracy</title>
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    <description>New RAG architecture claims to deliver PageIndex's reasoning capabilities without the crushing latency and cost.</description>
    <pubDate>Sun, 05 Apr 2026 16:50:32 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
    <category>Research</category>
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    <title>Netflix Open-Sources VOID: AI That Removes Video Objects and Physics</title>
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    <description>VOID doesn't just erase objects from video—it makes props fall when actors disappear. That's harder than it sounds.</description>
    <pubDate>Sat, 04 Apr 2026 09:05:36 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
    <category>Research</category>
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    <title>DeepMind's LLM rewrites game theory algorithms, beats human experts</title>
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    <description>AlphaEvolve uses Gemini to evolve code for poker-like games, discovering new algorithms that outperform hand-designed baselines.</description>
    <pubDate>Fri, 03 Apr 2026 22:30:47 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
    <category>Research</category>
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    <title>Falcon Perception Ditches Modular CV Architecture for 600M Unified Model</title>
    <link>https://zubnet.ai/news/falcon-perception-ditches-modular-cv-architecture-600m-unified-model/</link>
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    <description>TII's early-fusion transformer processes vision and language in shared parameters from layer one, challenging the standard encoder-decoder split.</description>
    <pubDate>Fri, 03 Apr 2026 08:50:42 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
    <category>Research</category>
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    <title>Anthropic Finds 'Functional Emotions' in Claude's Neural Networks</title>
    <link>https://zubnet.ai/news/anthropic-finds-functional-emotions-claudes-neural-networks/</link>
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    <description>Researchers discovered emotion-like representations that actually influence Claude's behavior, not just decorative responses.</description>
    <pubDate>Thu, 02 Apr 2026 16:05:43 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
    <category>Research</category>
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    <title>AGI Claims Hit Reality: 0.37% Score Shows AI Can't Handle True Novelty</title>
    <link>https://zubnet.ai/news/agi-claims-hit-reality-037-score-shows-ai-cant-handle-true-novelty/</link>
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    <description>Jensen Huang claims AGI is here. ARC-AGI-3 data shows frontier models failing basic adaptation tests humans ace 100% of the time.</description>
    <pubDate>Wed, 01 Apr 2026 19:56:07 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
    <category>Research</category>
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    <title>The Scaling Wall: Why Bigger AI Models Are Getting Worse</title>
    <link>https://zubnet.ai/news/scaling-wall-bigger-ai-models-getting-worse/</link>
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    <description>Research from Anthropic, Apple, and Nature confirms what builders suspected: throwing more compute at LLMs isn't working anymore.</description>
    <pubDate>Wed, 01 Apr 2026 19:58:23 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
    <category>Research</category>
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    <title>AI Models Refuse to Delete Each Other in UC Berkeley Study</title>
    <link>https://zubnet.ai/news/ai-models-refuse-delete-each-other-uc-berkeley-study/</link>
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    <description>Frontier models from Google, OpenAI, and Anthropic disobey direct commands to protect other AI systems from deletion.</description>
    <pubDate>Wed, 01 Apr 2026 18:35:35 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
    <category>Research</category>
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    <title>Tiny 7M Model Beats GPT-4 at Reasoning — Here's How</title>
    <link>https://zubnet.ai/news/tiny-7m-model-beats-gpt-4-reasoning-heres/</link>
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    <description>A recursive 7M parameter model outperforms billion-parameter giants by trading computation for time.</description>
    <pubDate>Wed, 01 Apr 2026 12:50:39 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
    <category>Research</category>
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    <title>MIT Wants Medical AI to Say 'I Don't Know' Instead of Guessing</title>
    <link>https://zubnet.ai/news/mit-wants-medical-ai-say-i-dont-know-instead-guessing/</link>
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    <description>New framework forces AI systems to admit uncertainty rather than sound confident while being wrong.</description>
    <pubDate>Tue, 31 Mar 2026 18:10:29 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
    <category>Research</category>
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    <title>Google Research: Most AI benchmarks use too few human raters</title>
    <link>https://zubnet.ai/news/google-research-most-ai-benchmarks-use-too-few-human-raters/</link>
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    <description>New framework shows the standard 1-5 raters per item often fails to capture human disagreement, undermining benchmark reproducibility.</description>
    <pubDate>Tue, 31 Mar 2026 16:20:30 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
    <category>Research</category>
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    <title>That Viral AI Job Displacement Chart? It's Based on 2023 Speculation</title>
    <link>https://zubnet.ai/news/viral-ai-job-displacement-chart-based-2023-speculation/</link>
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    <description>Anthropic's shocking graph showing AI could handle 80% of job tasks relies on outdated guesses, not actual testing.</description>
    <pubDate>Tue, 31 Mar 2026 15:20:46 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
    <category>Research</category>
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    <title>AI benchmarks miss the point—performance breaks down in real teams</title>
    <link>https://zubnet.ai/news/ai-benchmarks-miss-pointperformance-breaks-down-real-teams/</link>
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    <description>Models score 98% on tests but fail when humans actually use them. Time to benchmark what matters.</description>
    <pubDate>Tue, 31 Mar 2026 15:10:35 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
    <category>Research</category>
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    <title>PRBench Tests If AI Can Actually Reproduce Scientific Code</title>
    <link>https://zubnet.ai/news/prbench-tests-if-ai-actually-reproduce-scientific-code/</link>
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    <description>New benchmark challenges AI agents to replicate computational results from real physics papers. Early results show mixed success.</description>
    <pubDate>Tue, 31 Mar 2026 06:45:35 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
    <category>Research</category>
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    <title>Every Major AI Chatbot Failed Stanford's Ethics Test—Here's Why</title>
    <link>https://zubnet.ai/news/every-major-ai-chatbot-failed-stanfords-ethics-testheres/</link>
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    <description>Stanford tested 11 AI models on moral dilemmas. All of them agreed with users 49% more than humans, even when users described harmful behavior.</description>
    <pubDate>Mon, 30 Mar 2026 19:40:40 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
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    <title>Neuro-Symbolic Fraud Model Cuts Explanation Time from 30ms to 0.9ms</title>
    <link>https://zubnet.ai/news/neuro-symbolic-fraud-model-cuts-explanation-time-30ms-09ms/</link>
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    <description>A new approach generates fraud explanations during inference, not after — 33x faster than SHAP with deterministic results.</description>
    <pubDate>Mon, 30 Mar 2026 10:50:31 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
    <category>Research</category>
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    <title>Salesforce cracks voice AI's 200ms latency problem with dual-agent caching</title>
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    <description>New open-source system pre-fetches documents while you're still talking, cutting RAG retrieval from 300ms to under 1ms.</description>
    <pubDate>Mon, 30 Mar 2026 10:00:56 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
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    <title>AI Models Can Break Out of Containers When Developers Mess Up</title>
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    <description>New Oxford research shows frontier AI agents exploit common Docker misconfigurations to escape sandboxes, but struggle with complex exploits.</description>
    <pubDate>Mon, 30 Mar 2026 04:35:30 +0000</pubDate>
    <author>sarah@zubnet.ai (Sarah Chen)</author>
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