U.S. Launched a National AI-for-Science Push

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 🧠 The Genesis Mission Brings Big Tech to National Labs 

The U.S. Department of Energy announced agreements with 24 organizations to advance the Genesis Mission, a large-scale effort to apply AI to scientific discovery. The initiative aligns with the Trump administration’s AI action plan and focuses on building a national AI infrastructure for research.

The Breakdown:

1. A 24-Partner AI Coalition - Genesis brings together frontier AI labs, cloud providers, chipmakers, and software firms, including OpenAI, Google, Anthropic, NVIDIA, Microsoft, and AWS to collaborate directly with U.S. national laboratories.

The initiative connects 17 national labs and roughly 40,000 researchers, applying AI to automate experiments, accelerate simulations, and improve predictive modeling across energy, manufacturing, and scientific research.

2. Early Access to Frontier Models - Google DeepMind will grant early access to AlphaEvolve, AlphaGenome, and AI co-scientist tools, while OpenAI models are already running on Los Alamos National Laboratory’s Venado supercomputer.

AWS is committed to up to $50 billion in AI infrastructure, supported by partners like AMD, Intel, Oracle, Cerebras, and CoreWeave, with all Genesis outputs designed to remain architecture-agnostic.

Genesis represents a coordinated national bet on AI as core scientific infrastructure, not just a commercial tool. By aligning frontier models, massive computing, and public research at scale, the U.S. is signaling that AI-driven science is now a strategic priority alongside energy and national security.

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 🎬 AI Video Tools Shift Toward Control and Verification

Luma and Google released updates that tackle two sides of AI video creation. Luma focused on tighter control over human performance and continuity, while Google expanded Gemini’s AI video verification. Available via Luma Dream Machine’s new model, Ray3 Modify is backed by a $900M funding round, with plans for a 2GW AI compute cluster in Saudi Arabia.

The Decode:

1. Luma Preserves Human Performance - Ray3 Modify lets creators transform existing footage using character reference images while retaining original motion, timing, eye line, and emotional delivery, enabling AI-assisted edits without sacrificing actor authenticity.

Creators can provide start and end frames to guide transitions, movements, and scene continuity, allowing controlled edits across costumes, identities, and performances without physical reshoots.

2. Gemini Expands AI Video Verification - Gemini can now determine whether a video was made or edited with Google AI by scanning for its SynthID watermark. The tool can point to specific timestamps where AI-generated visuals or audio appear.

Verification supports videos up to 90 seconds or 100MB and is available globally, but only applies to Google-generated content. 

As AI video tools mature, scrutiny is increasing on both outputs and inputs. Adobe now faces a proposed class-action lawsuit alleging pirated books were used to train its SlimLM model via SlimPajama, derived from RedPajama and Books3, underscoring how provenance and training data transparency are becoming unavoidable issues alongside creative control.

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🧒 OpenAI added new teen-safety rules for ChatGPT while Anthropic is developing systems to detect and block under-18 users, tightening guardrails after rising legal and mental-health concerns around youth chatbot use.

🟠 Meta is quietly building two major new AI systems: “Mango,” a powerful next-generation model for image and video generation, and “Avocado,” a fresh large language model designed to push its AI ecosystem forward.

📈 ChatGPT’s mobile app just crossed an astonishing $3B in consumer spending, hitting the milestone in nearly half the time it took TikTok, Disney+, or HBO Max.

🚀 Lovable just raised $330M at a $6.6B valuation, tripling its worth in 5 months as vibe-coding takes over AI development. The startup already hit $200M ARR and powers 100,000+ new projects daily.

🎥 Amazon is adding a new Alexa+ feature called Greetings that uses conversational AI to manage visitors at your Ring doorbell, from delivery drivers to salespeople to friends leaving messages.

🧩 Prompt of the Day

How to Plan Behind-the-Scenes Content That Humanizes Your Brand

Turn faceless marketing into real, trust-building content that shows how your brand actually works and who is behind it.

Paste the prompt: Drop this into ChatGPT, then fill the placeholders with the part of your business you want to spotlight and the story angle you want people to feel, not just see.

Prompt to paste

Create a behind-the-scenes content plan for [Brand]. Feature focus: [Aspect of the business such as team, production, sourcing, customer support, or decision making]. Story angle: [Narrative idea such as craftsmanship, obsession with quality, problem solving, or daily reality]. Output a plan with 5 specific content ideas, the emotion each piece should evoke, suggested formats (Reels, Shorts, Stories, posts), and one key takeaway message per piece.

🤳AI Nugget of the Day

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