Robots delivered, research trends & more (January 1, 2026)

David Pawlan

David Pawlan

Co-Founder

Robots delivered, research trends & more (January 1, 2026)

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Happy 2026!

Open models push image quality, data centers spark political fights, and robots quietly scale. Enterprise teams enter 2026 with clearer research signals and sharper tradeoffs.

Let’s dive in πŸ‘‡

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πŸš€ Models, Research & Product Shifts

🧠 Open-source Qwen Image challenges Google

Open-source Qwen Image 2512 launches to compete with Google’s Nano Banana Pro on image quality. The release signals faster iteration from Chinese open models. Expect tighter competition on price, quality, and openness.

πŸ”¬ Four AI research trends for 2026

Four AI research trends enterprise teams should watch include multimodal grounding, smaller specialist models, evaluation rigor, and data efficiency. The focus shifts from raw scale to reliability. This favors teams with strong data pipelines.

πŸ€– Musk wants robots, China delivers

Elon Musk wants robots everywhere while China rapidly deploys industrial robotics. Manufacturing automation is accelerating faster abroad. Hardware plus AI integration is becoming decisive.

πŸ›οΈ Power, Politics & Infrastructure

⚑ Data centers meet electricity politics

AI data centers draw political fire as electricity prices rise. Both parties are now weighing in. Power access is becoming a core AI bottleneck.

πŸ“œ New state laws take effect

Notable new state laws arrive in 2026 across tech, labor, and healthcare. Compliance complexity increases for startups. State-level rules will matter more than federal gridlock.

🧰 Tools of the Day

β†’ Qwen3, open multimodal model family for text, vision, and reasoning
β†’ Friendware, AI agents that collaborate like teammates
β†’ Creaibo, AI video and creative content generation platform

⚑ Quick Hits

β†’ College dropout status is again the hottest founder credential
β†’ Best gadgets for pets now include AI tracking
β†’ AI tech trends point to efficiency over scale
β†’ Biggest startups raised record AI-driven funding

🧾 TLDR

Open models are closing quality gaps fast, especially in image generation. Power, regulation, and robotics now shape AI outcomes as much as models. 2026 rewards teams that optimize for efficiency, infrastructure, and compliance.

Cheers,
David

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