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Hey fam 👋 Luis & Rui here with your Monday dose of AI news.

Google is now making Search way more agentic, Anthropic leaning into nuclear safeguards, and Meta’s $1B data-center push.

Plenty to chew on – caffeinate and let’s go ☕


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🌎 AI News around the world

🧩 ByteDance launches an open-source Seed-OSS-36B model with a 512K-token context window (continue reading)

🔎 Google expands AI Mode in Search globally and rolls out new agentic and personalized features to make Search proactively help you complete tasks. (continue reading)

🛡 Anthropic partners with the NNSA and DOE to develop AI tools for detecting nuclear-related conversations (continue reading)

🏗 Meta opens a $1B Kansas City data center and teases more AI-optimized facilities as it scales global infrastructure and sustainability efforts. (continue reading)

📓 Google’s NotebookLM will add a “Deep Research” feature to pull sources from the web and your Google Drive (continue reading)


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📷 Freepik AI Assistant: Design assistant that speeds up creative asset discovery and editing.


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📈 Principal PMM, Bridge | Dropbox | $188,700 – $287,300 a year (view job)

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💰 Investments in AI

🔬 The Allen Institute for AI (Ai2) secured $152M to build Open Multimodal AI Infrastructure for science-focused LLMs. (link)

🏗 Google announced a $9B investment to build advanced AI data centers in Oklahoma focused on efficiency and renewables. (link)

💸 Samaya AI raised $43M led by NEA and notable backers to build expert autonomous agents for finance. (link)

🏢 JPMorgan & MUFG led a $22B+ loan sale to support Vantage Data Centers’ campus build (link)


💻 Prompt of the Week – Turning customer reviews into marketing assets

🧾 Prompt:

Role: You are a marketing copywriter who specializes in transforming customer reviews into compelling marketing content.

Task: Rewrite the following customer review into 3 different formats:

Short testimonial (1–2 sentences, perfect for a website or sales page).

Social media post (engaging, benefit-driven, optimized for LinkedIn/Instagram).

Mini case study (structured as Problem → Solution → Result).

Context: Audience = potential customers who are evaluating whether to trust the brand. Tone = credible, authentic, and persuasive.

Structure:

Keep it concise.

Focus on results and benefits.

Highlight the customer’s voice but make it easy to read.

Input: [Paste customer review here]

Output: 3 variations labeled by format.

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See you all on Thursday 😉

That’s a wrap for today’s AI Break 🙌 Thanks for hanging out – don’t forget to hit subscribe, drop your thoughts below, and share this with your fellow AI enthusiasts.

Luis & Rui

PS: Catch us on X @sousa_brothers for daily updates on the latest AI developments.

PPS: If you enjoyed today’s AI Break, sharing is caring (and our algorithms are programmed for gratitude) 😉

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