Gemini 3 Deep Think Expands Access as Google Targets Scientific and Engineering Breakthroughs - Google has released a major upgrade to Gemini 3 Deep Think, its specialized reasoning mode built for scientific and engineering challenges. The updated system achieved 84.6% on ARC-AGI-2, reached a Codeforces Elo of 3455, and demonstrated gold-level performance across international math and science benchmarks. Deep Think is now available to Google AI Ultra subscribers and through an early-access Gemini API program for researchers and enterprises.

Why it matters: AI is moving beyond chat into structured scientific collaboration — and research institutions that experiment early may accelerate discovery cycles and competitive advantage.

AI Companies Enter U.S. Politics as Anthropic Backs AI Regulation Efforts - Anthropic says it will donate $20 million to Public First Action, a political group supporting candidates who favor stronger AI regulation and state-level oversight. The move highlights how AI companies are becoming increasingly active in shaping policy outcomes as U.S. lawmakers debate how to govern rapidly advancing AI technologies. The announcement comes amid growing political spending from across the AI sector, reflecting rising stakes ahead of the U.S. midterm elections.

Why it matters: AI regulation is becoming a competitive arena, with companies now backing opposing political groups to influence the rules that will shape how AI is developed, deployed, and governed in the years ahead.

Spotify says its best developers haven’t written a line of code since December, thanks to AI - Spotify’s leadership says that the company’s top engineers haven’t manually written any code since December, instead leaning on internal generative AI tools like the system known as “Honk” to automatically generate and deploy software features following analyst calls. The shift suggests that engineering roles are evolving toward supervision, editing, and design, rather than traditional hands-on coding, as AI continues to reshape development workflows.

Why it matters: This highlights a potential turning point in how major tech companies build software — where AI moves from assisting engineers to fundamentally driving production work — raising questions about future job roles, skills requirements, and development practices across industries.

The Sora feed philosophy - OpenAI published the design philosophy behind its Sora Feed, a recommendation system built to prioritize active creation, user control, and safety over passive content consumption. The philosophy emphasizes creative engagement, steerable ranking options, and guardrails to balance expression with responsible use, signaling a shift away from traditional engagement-maximizing feeds.

Why it matters: As AI-powered social and content platforms emerge, approaches like Sora’s feed philosophy reflect an effort to foreground creativity and user intent in AI recommendation design, offering an alternative to algorithms that prioritize endless scrolling and attention retention.

Anthropic and Teach For All launch global AI training initiative for educators - Anthropic announced a global partnership with Teach For All to bring AI tools, training, and classroom resources to educators in more than 60 countries, empowering teachers with AI fluency and co-creation opportunities using Claude. The initiative aims to build localized learning materials and support AI literacy, particularly in under-served regions, expanding educational access to emerging AI technologies.

Why it matters: This collaboration highlights how AI companies are investing in education and workforce readiness worldwide, not just product development — suggesting that equipping teachers with AI skills may become a key strategy for shaping future understanding, adoption, and ethical implementation of AI in society.

Think of a commercial idea and ask Gemini to plan out two 5s scenes. Once done, ask it to write prompts for the start and end frames of both scenes.

Now, log in to Higgsfield (you will need a basic/pro plan) and click Image > Create Image > Nano Banana Pro. Set 4k quality, 4 variations, and 21:9 ratio.

Generate the start + end frame for scene 1 and just the end frame for scene 2. Download the ones you like best.

In Higgsfield, go to Video > Kling 3.0, upload your frames with the short scene prompt, and hit generate. After this, stitch the videos in a free editor.

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