Dear Readers,
When AI suddenly stops working alone and splits into specialized sub-agents, what does that mean for our idea of intelligence? That's exactly what Anthropic is doing right now: Claude is becoming the team leader of an orchestrated AI team. Each sub-agent has its own toolset and context, and together they solve complex tasks faster, in a more structured and efficient way. A new era of “scalable intelligence” is dawning – and we're taking a close look at it today. Also in this issue: A look at Trump's new AI action plan, which openly focuses on ideological control and deregulation. The EU, on the other hand, is pushing ahead with a binding transparency code, while rumors of a “GPT-5 nano” are haunting the scene. And: An insightful diagram on Google's foresight in acquiring YouTube. If you want to know where AI is headed, read on.
In Today’s Issue:
Anthropic's new "subagents" let your AI build its own specialized team
Elon Musk weighs in on the ultimate source of power (spoiler: it's the sun)
The powerful ChatGPT agent is now officially available to all paid users
DeepMind's CEO discusses simulating reality and the future of AI on a new podcast
And more AI goodness…
All the best,

Claude Code is getting a brand new feature: custom subagents
The TLDR
👉 Subagents cleanly separate task areas – ideal for complex and modular workflows.
👉 Subagents running in parallel significantly increase the speed and quality of the results.
👉 Each subagent has its own context and tool access – no overload in the main agent.
👉 Practical for developers, teams, and research: This makes AI more structured and scalable.
Anthropic is taking AI to the next level with subagents. These are specialized sub-agents that can work independently on subtasks such as research, code review, or data analysis. The main agent – e.g., Claude Opus – coordinates these helpers and integrates their results into a coherent response.

What makes this special is that each subagent operates in its own context silo and can use tools independently. This avoids information overload in the main context and ensures greater clarity and precision. Initial tests show impressive results – the parallel collaboration of multiple AI agents dramatically increases efficiency. Tasks that were previously sequential and time-consuming can now be solved simultaneously, in a structured manner, and much faster.

For developers, researchers, and product teams, this architectural model is a real step forward. It opens up new possibilities for complex work processes that require different perspectives or tools at the same time. Subagents transform AI from a single helper into a coordinated team of specialists.
Why it matters: Subagents bring order and speed to complex AI processes. They enable specialized, parallel problem solving—that's scalable intelligence in action.
Sources:
🔗 Anthropic Developer Docs: https://docs.anthropic.com/en/docs/claude-code/sub-agents
🔗 Anthropic Engineering Blog: https://www.anthropic.com/index/built-multi-agent-research-system
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In The News
The math is obvious and unequivocal:
~100% of energy over time comes from the Sun. Everything else is a rounding error.
— #Elon Musk (#@elonmusk)
1:00 AM • Jul 25, 2025
ChatGPT Agent Rollout Complete
OpenAI has announced that the full rollout of its new ChatGPT agent is now complete, making the feature available to all Plus, Pro, and Team subscribers.
Demis Hassabis on the Future of AI
Google DeepMind CEO and Nobel laureate Demis Hassabis discusses the future of AI, including simulating reality, physics, and the role of video games in advancing the field.
Graph of the Day

YouTube was probably one of the most far-sighted acquisitions Google has ever made. Not only are user numbers rising, but Google also receives data to train models such as Veo3.

America's radical change of direction: Trump's AI action plan against “woke” algorithms
In his new AI action plans from July 23, 2025, Trumps includes three executive orders: rapid approval of data centers, export promotion, and a ban on “ideologically biased” AI models in the public sector. This ties federal funding to state regulatory requirements and threatens to undermine democratic control mechanisms. Politically significant: Formal centralization and deregulation, departure from DEI initiatives, shift of power in favor of the tech lobby.
Tech lobby triumphs: Silicon Valley and Trump's AI offensive
The close cooperation between Trump's administration and large tech companies continues to be controversial: Meta, Nvidia, Google, and others are calling for deregulated AI policy with a focus on infrastructure expansion and export promotion. Environmental, civil rights, and labor groups warn of monopolistic power shifts and risk neglect.
EU publishes Code of Practice on AI transparency ahead of AI Act coming into force
A few days ago, the EU Commission published a binding code of conduct for general AI systems in preparation for the application of the AI Act from August 2025. The code includes rules on transparency, copyright, and the security of sensitive systems, with penalties of up to €35 million or 7% of global turnover.

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Rumours, Leaks, & Dustups
A new model has appeared on LMArena. It is likely to be the first version of GPT-5 nano.
confirm a hunch it’s gpt 5, mini ?
— #Jimmy Apples 🍎/acc (#@apples_jimmy)
7:20 PM • Jul 24, 2025
Quote of the Day
