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<div style="display: none; max-height: 0px; overflow: hidden;">An employee-only chatbot, codenamed “Veritas”, is speculated to be Apple’s answer to ChatGPT, but it’s unknown if or when it’ll be released publicly </div>
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<h1><strong>TLDR AI <span id="date">2025-09-29</span></strong></h1>
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<strong>9 hard-learned lessons from implementing Gen AI in enterprise environments (Sponsor)</strong>
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Many companies struggle to reconcile exciting AI demos and actual production value. Where are things going wrong - and what are leaders doing right?<p></p><p>Drawing from real customer engagements from Google Cloud's consulting team - including at Commerzbank, Erste Group, and SIGNAL IDUNA - this <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fcloud.google.com%2Fresources%2Fcontent%2Freal-world-generative-ai-adoption%3Futm_source=cloud_sfdc%26utm_medium=email%26utm_campaign=FY25-Q2-GLOBAL-ENT34861-website-dl-aiadoption-63328%26utm_content=tldr%26utm_term=september_29%26hl=en/3/01000199959d87bf-81206901-6687-4c0c-ab84-2032aa5328d9-000000/sEkGFGqICJEdSK2j3UruQKqEr3kYL4p9refGEsI_Ris=424" rel="noopener noreferrer nofollow" target="_blank"><span>ebook</span></a> exposes 9 critical lessons for scaling generative AI.</p>
<p>Download the guide to learn why <a class="underline" href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fcloud.google.com%2Fresources%2Fcontent%2Freal-world-generative-ai-adoption%3Futm_source=cloud_sfdc%26utm_medium=email%26utm_campaign=FY25-Q2-GLOBAL-ENT34861-website-dl-aiadoption-63328%26utm_content=tldr%26utm_term=september_29%26hl=en/4/01000199959d87bf-81206901-6687-4c0c-ab84-2032aa5328d9-000000/DT6mdm2Gx3nElHZUwgMZBSOF0hg6J_KorHctLMDGHso=424" rel="noopener noreferrer nofollow" target="_blank"><span>data quality matters more than model sophistication</span></a>, specific strategies that boost adoption by 125-451%, and how to build developer trust in AI systems.</p>
<p>Learn from real-world scenarios and expert guidance to avoid common pitfalls and accelerate your path to gen AI success. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fcloud.google.com%2Fresources%2Fcontent%2Freal-world-generative-ai-adoption%3Futm_source=cloud_sfdc%26utm_medium=email%26utm_campaign=FY25-Q2-GLOBAL-ENT34861-website-dl-aiadoption-63328%26utm_content=tldr%26utm_term=september_29%26hl=en/5/01000199959d87bf-81206901-6687-4c0c-ab84-2032aa5328d9-000000/x0T4PO00oUZ3coKjqykdchd6Kn6zXU-AzmFXTFbFWoY=424" rel="noopener noreferrer nofollow" target="_blank"><span>Get the guide ↗️</span></a>
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<strong>Apple's ‘Veritas' chatbot is reportedly an employee-only test of Siri's AI upgrades (1 minute read)</strong>
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An internal employee-only chatbot, codenamed “Veritas”, is speculated to be Apple's answer to ChatGPT, but it's unknown if or when it'll be released publicly. The company has struggled to get its AI efforts off the ground after a lukewarm reception to its Apple Intelligence features and multiple delays to Siri upgrades.
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<strong>DeepSeek-V3.1-Terminus launches with improved agentic tool use and reduced language mixing errors (2 minute read)</strong>
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DeepSeek released V3.1-Terminus, which strengthens its Code Agent and Search Agent and addresses users' feedback about Chinese/English mix-ups. The model shows benchmark gains in agentic tool tasks (BrowseComp, SWE Verified, etc.) and offers both “chat” and “reasoner” modes for different use cases. Terminus remains open-weight under an MIT license, making it viable for customization and deployment both via API and local environments.
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<strong>Head of ChatGPT addresses controversial model routing (1 minute read)</strong>
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OpenAI confirmed it's testing a safety system that automatically switches users from GPT-4o to reasoning models or GPT-5 when conversations touch on "sensitive and emotional topics." Users have complained that the routing triggers too frequently in harmless situations, pulling them away from GPT-4o, which many prefer for personal conversations.
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<strong>The AI Village in Numbers (7 minute read)</strong>
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OpenAI's models lead on various stylistic measures like lexical diversity, positive sentiment, and formality of language, but Anthropic's models lead in goal-directed behavior. While OpenAI's models vary in which stylistic measures they excel at, Anthropic's models all perform well on agentic behavior. OpenAI offers the brightest, most cheerful, and most eloquent model. Anthropic's models tend to excel at getting stuff done.
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<strong>OpenAI releases workplace usage report showing rapid ChatGPT adoption (20 minute read)</strong>
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28% of US workers now use ChatGPT at work, with adoption highest among highly educated white collar workers in tech, finance, and manufacturing. It's vague exactly how the tool is being used - OpenAI is primarily for writing, research, programming, and data analysis - but technical teams have emerged as the clear power users.
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<strong>Can you build secure AI at scale? Take the challenge at DevSecCon 2025 (Sponsor)</strong>
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Something big is brewing October 22: the FIRST ever <a class="underline" href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsnyk.io%2Fevents%2Fdevseccon%2F%3Futm_campaign=dm_pp_tldr_250929_evt_251022_devseccon_flagship_2025%26utm_medium=em-pa%26utm_source=tldr%26utm_content=evt_251022_devseccon_flagship_2025/2/01000199959d87bf-81206901-6687-4c0c-ab84-2032aa5328d9-000000/XtTZOtH-AJLq0rOTteEFpAPqtjpOWdf4e2_QVb7eQeY=424" rel="noopener noreferrer nofollow" target="_blank"><span>AI Security Developers Challenge</span></a> at DevSecCon 2025 (virtual). Team up with brilliant minds globally to solve real AI security problems. Also on the agenda: hands-on demos, cutting-edge talks from Tessl and Ragie.ai experts, and practical strategies for securing AI applications at scale. <a class="underline" href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsnyk.io%2Fevents%2Fdevseccon%2F%3Futm_campaign=dm_pp_tldr_250929_evt_251022_devseccon_flagship_2025%26utm_medium=em-pa%26utm_source=tldr%26utm_content=evt_251022_devseccon_flagship_2025/3/01000199959d87bf-81206901-6687-4c0c-ab84-2032aa5328d9-000000/MWWvvn-uRFaRXD_6CN-DfkVGibKehdNounXgNtrs2vU=424" rel="noopener noreferrer nofollow" target="_blank"><span>Save your spot</span></a>
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Normally, neural networks are trained by letting their weights move freely in any mathematical direction. A new method that restricts the weights to specific curved surfaces makes training more stable and predictable. This "manifold Muon" optimizer forces weight matrices to maintain consistent properties (like not stretching or shrinking data too dramatically) by constraining them to geometric shapes called manifolds. While promising, the experiments required computational overhead, which limits real-world adoption.
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<strong>We reverse-engineered Flash Attention 4 (15 minute read)</strong>
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Flash Attention 4 is a brand new, highly optimized CUDA kernel that speeds up the attention calculations in transformers, which are the main mathematical operations that bottleneck AI models like ChatGPT. However, the improvements from FA4 are not from clever new math but from improvements in how an incredibly complex async pipeline splits computations across 32-thread ‘warps'.
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<strong>What Problem is DSPy Solving With What Assumptions (9 minute read)</strong>
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DSPY's programming model is a good base, but it has issues with defaults and missing affordances. This post identifies these issues and suggests some changes. Adopting these changes would sharpen DSPy's design without fighting it. It would keep the ergonomics that makes teams productive while aligning the optimization layer with the realities of fixed budgets and production constraints.
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Finterestingengineering.com%2Fculture%2Falibaba-nvidia-ai-partnership-expansion%3Futm_source=tldrai/1/01000199959d87bf-81206901-6687-4c0c-ab84-2032aa5328d9-000000/Cjjy-vwowCXN5Py_z2FbfBXR_5IleVZiK3hP3zvqzj0=424">
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<strong>Alibaba bets big on AI with Nvidia tie-up, new data center plans (4 minute read)</strong>
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Alibaba has partnered with Nvidia to enhance its cloud platform with advanced AI capabilities, focusing on robotics and autonomous driving. It plans to expand global data centers, opening facilities in Brazil, France, and the Netherlands to meet increasing AI infrastructure demand. The company also launched Qwen3-Max and Qwen3-Omni AI models, emphasizing improved performance in code generation and virtual reality applications.
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<strong>Expanding Our Data Engine for Physical AI (4 minute read)</strong>
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Scale is expanding its Data Engine for Physical AI, providing robotics companies with high-quality, annotated datasets needed for training foundation models in physical environments. It addresses the robotics data gap by ensuring datasets are abundant, diverse, and enriched, collecting data through dedicated robots and human demonstrations. This aims to accelerate the development of reliable AI systems capable of handling real-world complexity in various applications.
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<strong>A new paradigm of proactive, steerable AI (3 minute read)</strong>
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OpenAI's new CEO for Applications says the long-heralded dream of AI optimists is near - the personalized AI assistant that proactively helps you achieve your goals.
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<strong>An AI Index for all our customers (6 minute read)</strong>
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AI Index for domains on Cloudflare is a web index that gives content creators the tools to make their data discoverable by AI, giving AI builders access to better data for fair compensation.
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<strong>Richard Sutton – Father of RL thinks LLMs are a dead end (54 minute read)</strong>
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Large language models aren't capable of learning on-the-job, so no matter how much we scale, we will still need a new architecture to enable continual learning.
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<strong>Anthropic to triple international workforce in global AI push (8 minute read)</strong>
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Anthropic's international growth is outpacing the company's most ambitious forecasts.
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<strong>Anthropic experiments with an agent for real-time UI generation (6 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Imagine with Claude, which lets users interact with a classic desktop UI where windows and apps are managed by AI, will be released as a temporary demo for certain plans.
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<strong>YouTube Labs (1 minute read)</strong>
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YouTube Labs is a new initiative that gives users early access to AI experiments.
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