Google's Veo3 global rollout | Daniel Gross joins Meta | Sakana AI's TreeQuest

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July 04, 2025 • Estimated Reading Time: 4 minutes

4th July 2025

Google has launched its Veo 3 AI video generator for Pro subscribers in over 159 countries, allowing up to three 8‑second clips per day with synchronized sound.
The rollout marks a strategic effort to enhance value in Google's AI Pro tier and compete with rivals by making powerful creative tools widely available.
Veo 3 supports real-world physics, lip-sync, and audio inclusion, accompanied by safety features like SynthID watermarking to tag AI-generated content.

Meta has hired Daniel Gross, former CEO of Safe Superintelligence, to lead product development within its new Meta Superintelligence Labs.
Gross joins a top-tier leadership team that includes Alexandr Wang as Chief AI Officer and Nat Friedman, reflecting Meta’s serious push into advanced AI.
The hire follows Meta’s failed attempt to acquire Safe Superintelligence and highlights the intense competition for elite AI talent.

Japanese AI lab Sakana AI introduced TreeQuest, a framework that enables multiple large language models to collaborate on reasoning tasks through trial-and-error.
Their Multi‑LLM AB‑MCTS method dynamically chooses both what to refine or explore and which LLM to assign for each step in the reasoning chain.
On the ARC‑AGI‑2 benchmark, multi-model teams using TreeQuest solved roughly 30% more problems than any single LLM working alone.

Castelion, founded by former SpaceX engineers, has secured $350 million in Series B funding to accelerate its hypersonic missile program.
The investment will fund high-cadence flight tests, vertically integrated manufacturing, and facility expansion in Texas, aiming to enable large-scale and cost-effective production.
The company’s goal is to disrupt traditional defense programs by mass-producing affordable high-speed strike weapons to shift strategic deterrence dynamics.

Organizations should evaluate four strategic approaches to AI: build, buy, blend, or partner, depending on their existing capabilities.
The key to success lies not in the choice of approach, but in aligning AI efforts with business goals, ensuring strong executive sponsorship, and committing resources to both technology and change management.
Companies must start with small, high-impact use cases, emphasize data quality and infrastructure, and scale thoughtfully to maximize AI’s value.

Till next time.