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<div style="display: none; max-height: 0px; overflow: hidden;">OpenAI's state of the enterprise AI report shares a comprehensive look at how enterprises are adopting AI and what workers say they're gaining </div>
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<h1><strong>TLDR AI <span id="date">2025-12-09</span></strong></h1>
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<strong>$80M ARR in 7 months: How Lovable is turning AI pricing inside out (Sponsor)</strong>
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Token pricing. Outcome-based value. Hybrid models. Every AI company is inventing their own pricing model because traditional SaaS economics don't apply when every user extracts wildly different value.<p></p><p>Elena Verna, Head of Growth at Lovable, is navigating this in real-time. She helped Lovable <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmetronome.com%2Fwebinars%2Fmonetization-operating-model-webinar-series%3Futm_campaign=monetization-wp%26utm_medium=newsletter%26utm_source=tldr-ai%26utm_content=/3/0100019b03765940-af23aea0-4d3b-47f7-80a9-a045aecc4ea4-000000/zpjZd4v8fF51kvUtSgky589iPIKOv7b_Qci-zYh38as=435" rel="noopener noreferrer nofollow" target="_blank"><span>hit $80M ARR in under seven months</span></a> with a lean team. On December 10, she's joining Metronome to share:</p>
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OpenAI's state of the enterprise AI report shares a comprehensive look at how enterprises are adopting AI, what workers say they're gaining, and how organizational leaders are turning experimentation into measurable productivity and new capabilities. The analysis draws on real-world usage data from OpenAI's enterprise customers and a survey of over 9,000 workers across 100 enterprises. It is clear that enterprise adoption is accelerating in both breadth and depth. The technology is reshaping how people work, how teams collaborate, and how organizations build and deliver products.
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Alignment research is part of the core research problem. Labs that treat alignment as a constraint will hit a ceiling, while those that figure out how to build models that genuinely understand human values will pull ahead. AGI requires alignment. The integrated approach looks like the strongest approach.
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Nvidia, OpenAI, and Oracle are all putting pressure on each other. If Nvidia stopped investing in OpenAI, OpenAI might not have the cash to sign that deal with Oracle. This might mean that Oracle wouldn't have the money to buy Nvidia's chips. Some of the companies' reported revenues might be more fragile than they look.
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OpenAI researchers use interpretability tools to address misalignment in language models by employing sparse-autoencoders and latent attribution methods. The study introduced an attribution method to identify SAE latents likely causing certain behaviors, which proved more effective than activation-based methods in identifying causally relevant latents.
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President Donald Trump said that he will be issuing an executive order this week to curb state laws on artificial intelligence. All 50 states and territories introduced AI legislation this year. Legal experts say that the President doesn't have the legal authority to intervene in state legislation. Eliminating state laws would effectively remove guardrails for AI.
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Nvidia will be allowed to ship its H200 AI chips to approved customers in China and elsewhere on the condition that the US gets a 25% cut. The same approach will be applied to AMD, Intel, and other companies in the US. The policy change is aimed at supporting American jobs, strengthening US manufacturing, and benefiting American taxpayers. The Department of Commerce is still finalizing the details of the policy.
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AI-generated code needs formal verification to automate the review process and counteract the imprecise and probabilistic nature of LLMs.
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Horses took two decades to phase out - AI probably won't give us that long.
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<strong>LLMs Make Legal Advice Lossy (11 minute read)</strong>
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<strong>Agent Development Kit (ADK) for Rust (14 minute read)</strong>
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adk_rust is a flexible and modular framework for developing and deploying AI agents in Rust.
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