🤖 ChatGPT Finances rolls out to Free US users 🤖
OpenAI expands access to its personal finance tracker inside ChatGPT.

OpenAI is rolling out Finances in ChatGPT to Free and Go tier users across the United States, after initially announcing the feature in May. The tool lets users connect their bank accounts and investment portfolios directly inside ChatGPT for real-time financial tracking and planning. Users can ask natural language questions about their spending habits, budget allocations, and investment performance — turning ChatGPT into a personal finance assistant. This matters because it positions OpenAI to compete with dedicated fintech apps like Monarch and Copilot Money by bundling financial tools into a platform already used by hundreds of millions. The rollout signals OpenAI's broader push to make ChatGPT a daily utility, not just a chatbot.

🤖 Figure retires F.02 robots in molten steel 🤖
Old humanoid robots leap into a Finnish foundry as the F.03 rollout begins.

Figure AI found a dramatic way to decommission its older F.02 humanoid robots: training them to autonomously leap into a 75-ton vat of molten steel at a Finnish foundry. The stunt, reportedly inspired by a suggestion from Arnold Schwarzenegger, marks the company's transition to its next-generation F.03 fleet. Beyond the spectacle, the replacement cycle signals competitive pressure in the humanoid robotics space, where companies like Tesla and Agility are also iterating rapidly. Figure's willingness to publicly destroy functional units shows confidence in the F.03's capabilities and serves as a memorable marketing moment as the company scales its newer platform for commercial deployment.

🤖 Tesla builds hundreds of Optimus robots weekly 🤖
Production speed is up, but AI generalization issues slow factory integration.

Tesla is now reportedly producing hundreds of Optimus humanoid robots per week, a notable manufacturing ramp for any robotics program. However, most units remain stuck in internal testing rather than performing real factory tasks. The core bottleneck is AI generalization — the robots struggle to reliably handle the variety of situations found in unstructured environments. Reliability issues with the hands also persist. This gap between production speed and deployment readiness is a critical adoption signal for the industry, suggesting that hardware manufacturing has outpaced the software intelligence needed to make humanoids genuinely useful on factory floors at scale.

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📱 Aleph Alpha ships open-weight Kolibri 78B model 📱

Now available for regulated-industry integration, Aleph Alpha has released Kolibri, an open-weight Mixture-of-Experts model with 78.1 billion parameters and support for 1 million token context. Published under Apache 2.0 on Hugging Face, the English-German bilingual model targets sovereign and compliance-sensitive deployments across Europe. This is a meaningful capability jump for organizations that need long-context reasoning without sending data to US-based API providers.

📱 Meta open-sources Muse AI gadget code 📱

Expanding integration options for hardware builders, Meta has open-sourced the code needed to embed its Muse AI agent into custom gadgets. The release follows the Muse Charm hardware announcement at Connect and lets third-party developers build their own Muse-powered devices. This open-source move widens Meta's distribution footprint in the emerging AI wearables space.