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<div style="display: none; max-height: 0px; overflow: hidden;">Google plans to launch Gemini 3 and Nano Banana Pro next week. The company has consistently updated its Gemini models across its suite simultaneously </div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmetronome.com%2Fblog%2Fmonetize-ai-with-full-pricing-flexibility%3Futm_campaign=launch-week%26utm_medium=newsletter%26utm_source=tldr-ai%26utm_content=/1/0100019a922b26f7-e6929c5c-037b-4e97-b2a7-052b15d45cfa-000000/yxtqcL3NH958P_oml3EDeAxLgBh23TXmENLZICsAqpo=431"><img src="https://images.tldr.tech/metronome2.png" valign="middle" style="vertical-align: middle !important; height: 100%;" alt="Metronome"></a></td></tr></tbody></table>
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<h1><strong>TLDR AI <span id="date">2025-11-17</span></strong></h1>
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<strong>Monetize AI with full pricing flexibility: Metronome Launch Week (Sponsor)</strong>
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Trusted by OpenAI, NVIDIA, and Anthropic, Metronome is the infrastructure for modern monetization. As part of a week's worth of launches, they're announcing a host of new capabilities - including <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmetronome.com%2Fblog%2Fmonetize-ai-with-full-pricing-flexibility%3Futm_campaign=launch-week%26utm_medium=newsletter%26utm_source=tldr-ai%26utm_content=/3/0100019a922b26f7-e6929c5c-037b-4e97-b2a7-052b15d45cfa-000000/y93GSofvat75oMOUCYICclUMA2rL9gPQ5Rh4zx9u2jI=431" rel="noopener noreferrer nofollow" target="_blank"><span>three new ways to support flexible and hybrid pricing models</span></a>:
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<p>💺 <strong>Seat-based credits</strong> combine per-seat billing with usage-based consumption, letting companies assign credit allowances per user that can be pooled across an organization or restricted to individuals.</p>
<p>📦 <strong>Packages</strong> let teams manage standard pricing tiers in a good–better–best model. Define these tiers in Metronome, then provision customers instantly without engineering involvement.</p>
<p>🪜 <strong>Account hierarchy</strong> enables parent–child contract structures where usage, commitments, and reporting can roll up to a single organization.</p>
<p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmetronome.com%2Fblog%2Fmonetize-ai-with-full-pricing-flexibility%3Futm_campaign=launch-week%26utm_medium=newsletter%26utm_source=tldr-ai%26utm_content=/4/0100019a922b26f7-e6929c5c-037b-4e97-b2a7-052b15d45cfa-000000/GcLVJZHLZMsx8vw1re6vOrLiqv5om8r-ErM2MX2RFzw=431" rel="noopener noreferrer nofollow" target="_blank"><span><strong>Read more on the Metronome blog</strong></span></a>
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<h1><strong>Headlines & Launches</strong></h1>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.testingcatalog.com%2Fgoogle-to-release-nano-banana-pro-powered-by-gemini-3-pro-next-week%2F%3Futm_source=tldrai/1/0100019a922b26f7-e6929c5c-037b-4e97-b2a7-052b15d45cfa-000000/0wwEZyNSz-F4xoDyjUvbUtV1oITpfyqfA1tE8UpmYYw=431">
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<strong>Google to release Nano Banana Pro powered by Gemini 3 Pro next week (1 minute read)</strong>
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Google plans to launch Gemini 3 and Nano Banana Pro next week. The company has consistently updated its Gemini models across its suite simultaneously, and the same broad rollout is expected again this time. The Pro branding suggests that Google plans to provide accessible and production-grade generative tools across its platform ecosystem.
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<strong>We're rolling out GPT-5.1 and new customization features. Ask us Anything (Reddit Thread)</strong>
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GPT-5.1 is now rolling out to users. It features 8 unique chat styles, making it easier for users to set the tone and style that feels right for them. This Reddit Ask Me Anything features members from OpenAI's team.
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<strong>OpenAI-backed FutureHouse launches Kosmos AI Scientist (9 minute read)</strong>
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FutureHouse (which is transitioning to commercial spinout Edison Scientific) released an AI scientist that reads 1,500 papers and runs 42,000 lines of analysis code per run. Beta users estimate that a single Kosmos run accomplishes what would take them six months, with 79.4% of conclusions accurate, though the system sometimes pursues statistically significant but scientifically irrelevant findings. It's already made seven discoveries—three reproduced unpublished findings and four contributed novel insights, including one related to Alzheimer's that was validated in human tissue. Kosmos is launching at $200 per run with a generous free tier for academics.
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<h1><strong>Deep Dives & Analysis</strong></h1>
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<strong>The 1 Billion Token Challenge: Finding the Perfect Pre-training Mix (13 minute read)</strong>
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Most modern language models require massive computational resources and months of training time. This post discusses how to achieve the optimal recipe for creating efficient pre-training data sets to achieve high performance while using dramatically less data. It uncovers critical insights about dataset mixing strategy, failure modes in curriculum testing, and the 'goldilocks zone' for synthetic content. The resulting mixture consistently outperforms complex curriculum strategies and avoids catastrophic failures while maintaining excellent generalization.
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<strong>The Bitter Lessons (11 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
A race is a competition with clear boundaries and a clearly defined finish line. This isn't the case with the AI 'race' between the US and China. Nobody currently knows where AI is headed. The field is still being explored. The US and China are taking different strategies that play to their unique strengths. They are locked in a structural conflict, and harmony appears impossible.
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<div style="text-align: center;"><span style="font-size: 36px;">🧑💻</span></div>
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<h1><strong>Engineering & Research</strong></h1>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmiro.com%2Fresources%2Fai-prototyping-landscape-guide%2F%3Futm_campaign=glb-26q4-nsp-wp-c3_o2-prototypes_product_guide%26utm_source=tldr%26utm_medium=paidmedia%26utm_content=sponsorship%26src=-tldr_glb/1/0100019a922b26f7-e6929c5c-037b-4e97-b2a7-052b15d45cfa-000000/crr89HxPULkR6wTqMQviQn-E29kottXmQcUF4KmK7j8=431">
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<strong>Before you pick an AI prototyping tool, answer one question (Sponsor)</strong>
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Most teams ask "Which tool is best?" The better question: "Which approach gets us from idea to collaboration fastest?" <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmiro.com%2Fresources%2Fai-prototyping-landscape-guide%2F%3Futm_campaign=glb-26q4-nsp-wp-c3_o2-prototypes_product_guide%26utm_source=tldr%26utm_medium=paidmedia%26utm_content=sponsorship%26src=-tldr_glb/2/0100019a922b26f7-e6929c5c-037b-4e97-b2a7-052b15d45cfa-000000/niOiBlAr2sdw8CAsPReHHarI8RoUcQcHET8J6yedth4=431" rel="noopener noreferrer nofollow" target="_blank"><span>Miro's AI prototyping landscape guide</span></a> provides a requirement question set, decision framework, and evaluation scorecard so you can pick the tools that actually match your needs. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmiro.com%2Fresources%2Fai-prototyping-landscape-guide%2F%3Futm_campaign=glb-26q4-nsp-wp-c3_o2-prototypes_product_guide%26utm_source=tldr%26utm_medium=paidmedia%26utm_content=sponsorship%26src=-tldr_glb/3/0100019a922b26f7-e6929c5c-037b-4e97-b2a7-052b15d45cfa-000000/7SsCr84BIdQahqVFaYN4QgD7-_dcHq741waEzXR0BEI=431" rel="noopener noreferrer nofollow" target="_blank"><span>Get the guide</span></a>
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<strong>We just launched structured outputs in the Claude API (1 minute read)</strong>
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Structured outputs are now available in public beta for Claude Sonnet 4.5 and Opus 4.1. Support for Haiku 4.5 is coming soon. Without structured outputs, Claude may generate malformed JSON responses or invalidate tool inputs, breaking applications, even with careful prompting. Structured outputs constrain Claude's responses so they follow a specific schema. This ensures valid, parsable output for downstream processing.
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<strong>Context Management in Amp (12 minute read)</strong>
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The context window is the entire input that a large language model receives when generating output. It contains messages, the model's replies, tool calls, and the thinking blocks the model outputs to 'reason'. Everything that happens between the user and the model goes into the context window. This article walks users through some of the ways Amp gives users to manage the contents in a context window.
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<strong>Depth Anything 3 Released (GitHub Repo)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Depth Anything 3 (DA3) estimates spatially consistent depth from single or multi-view images, regardless of camera pose availability. It relies on a plain transformer backbone and a single depth-ray representation to simplify architecture and training.
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<strong>Distillation for Black-Box LLMs (5 minute read)</strong>
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GAD introduces a new approach for distilling knowledge from black-box LLMs using only generated text, without access to output probabilities. It trains a student model through adversarial learning against a discriminator, enabling on-policy imitation.
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<strong>AI is a new computing paradigm (2 minute read)</strong>
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AI allows us to write programs by specifying objectives. If a task is verifiable, then a neural net can be trained to do it extremely well. The more a task is verifiable, the more it is amenable to automation using AI.
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<strong>Satya Nadella's Reflection on AI Platforms (3 minute read)</strong>
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Microsoft co-designed its new AI superfactory with OpenAI and Nvidia, integrating three generations of frontier training systems and adding AMD for GPT inference to broaden the hardware stack. The company aims to scale this infrastructure so enterprises can train and run their own models without ceding value or control to major AI vendors. The biggest impact will come when industries like pharma, manufacturing, and education use AI to compress timelines and expand output, creating positive-sum economic gains.
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<strong>He's Been Right About AI for 40 Years. Now He Thinks Everyone Is Wrong (9 minute read)</strong>
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Yann LeCun may soon be leaving Meta to pursue a startup focused on world models because he believes that large language models are a dead end in the pursuit of superintelligence.
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<strong>Sakana AI takes crown as Japan's most valuable unicorn (3 minute read)</strong>
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Sakana AI raised $132 million from investors including MUFG, Santander, and US venture firms, pushing its valuation to approximately $2.6 billion, which is the record for an unlisted Japanese startup.
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<strong>OpenAI says it's fixed ChatGPT's em dash problem (2 minute read)</strong>
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OpenAI fixed ChatGPT's persistent em dash usage, allowing users to disable it via custom instructions.
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<strong>Google Maps releases new AI tools that let you create interactive projects (2 minute read)</strong>
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Google Maps introduced AI tools, including a builder agent and an MCP server, enabling developers to create interactive projects using Maps data.
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