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🚀 Welcome to AI Unraveled. Today, the AI industry gets a massive reality check. A new benchmark proves the top LLMs still cannot reason, forcing the enterprise to pivot toward Small Language Models (SLMs) and inference compression. Meanwhile, Meta quietly buys up every autonomous agent startup on the market, and the Pentagon turns Palantir into permanent military infrastructure.

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In Today’s Briefing:

The ARC-AGI-3 Humiliation: Why frontier models from OpenAI and Google are scoring below 1% on a reasoning test that humans ace.
Google TurboQuant: A new algorithm that compresses AI model memory by over 6x with zero accuracy loss, threatening the AI hardware market.
The Rise of SLMs: Neurometric launches an SLM Marketplace, proving that 75% of enterprise tasks are better suited for cheap, sub-20B parameter models.
Meta's Talent Monopoly: Mark Zuckerberg acqui-hires Dreamer, adding to a $2B shopping spree for agentic AI talent alongside a $135B capex budget.
The Pentagon's Palantir Lock-in: The U.S. military is spending $13.4 billion on AI in 2026, elevating Palantir's Maven to core infrastructure.
Reddit’s Bot Crackdown: CEO Steve Huffman deploys World ID and passkeys to separate humans from AI agents.
The EU AI Act Omnibus: Europe delays enterprise AI compliance to 2028, but implements an immediate, strict ban on AI "nudifier" deepfake apps.
Mistral Voxtral TTS: A new open-weight text-to-speech model that runs entirely on-device and supports 9 languages.

Strategic Signal: The Cap on LLM Reasoning vs. The Optimization of Inference.

Keywords: ARC-AGI-3 Benchmark, François Chollet, Google TurboQuant, Neurometric SLM, Meta Dreamer Acquisition, Palantir Maven Pentagon, Reddit Bot Crackdown World ID, EU AI Act Nudifier Ban, Mistral Voxtral TTS, Small Language Models, DjamgaMind, AIRIA, AI Unraveled.

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[AI DAILY NEWS RUNDOWN] The ARC-AGI-3 Reality Check, Google’s TurboQuant Compression, and Palantir’s Pentagon Lock-in (March 26th 2026)