InOrbit.AI Demonstrates the Future of Multi-Vendor Robot Orchestration and Physical AI at Automate 2026

roboticstomorrow.com Jun 23, 2026

InOrbit.AI Demonstrates the Future of Multi-Vendor Robot Orchestration and Physical AI at Automate 2026

Curated by Shubham · TechCapsules · Jun 23, 2026

AI-summarised brief · reviewed before publication

InOrbit.AI unveiled a landmark Autonomous Mobile Robot (AMR) Interoperability showcase at the Automate 2026 show, featuring a live demonstration of eight robotics companies working together seamlessly. The event, organized in collaboration with the Association for Advancing Automation (A3), highlights the potential of InOrbit Space Intelligence as the unifying, AI-powered orchestration for the physical world. The demonstration showcases how InOrbit makes robots work better, together, to connect islands of automation into efficient and resilient operations. Over 50,000 attendees are expected to witness this groundbreaking multi-vendor robotics demonstration.

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Europe Expands Quantum-GPU Computing as NVIDIA Announces 35 New AI Supercomputers

NVIDIA has announced the expansion of Europe's quantum-GPU computing infrastructure through 35 new systems across 23 countries. This move aims to strengthen the region's capabilities in quantum research, AI development, and scientific computing. The new systems will provide advanced computing resources to over 3 million researchers and will be integrated with quantum hardware and software platforms to support hybrid quantum-classical computing applications. The broader buildout includes major AI factory deployments, climate and energy research initiatives, and approximately 800 AI exaflops of computing capacity.

💡 The European effort to integrate quantum processors with traditional high-performance computing systems could accelerate breakthroughs in fields like materials science, climate modeling, and biotechnology. By combining quantum hardware with powerful GPU-accelerated supercomputers, researchers can tackle complex problems that were previously unsolvable.

engadget.com · Jun 23

A24 takes on Google money build AI tools

Google is investing $75 million in film studio A24 to develop AI tools, aiming to expand the future of entertainment. The multiyear deal excludes Google's access to A24's film and television library. The partnership will create tools to assist with filmmaking aspects, starting with AI-generated storyboards. A24's filmmakers will eventually have access to these tools, which are designed to be assistive, not replacement technology. A24 has had a successful year, with its revenue more than doubling in the past two years and being valued at $3.5 billion. The company's films, such as Backrooms, have been highly successful.

💡 The partnership's focus on assistive AI tools may alleviate concerns from filmmakers who dislike AI, like Kane Parsons. A24's reputation as a studio for emerging filmmakers who resonate with young audiences hangs in the balance.

nextplatform.com · Jun 23

HPE Rides The Agentic AI Wave Back Into The Datacenter

Hewlett Packard Enterprise has developed an AI-first support platform using its GreenLake Intelligence and Private Cloud AI to reduce costs associated with AI workloads. The company was previously processing billions of operational signals daily, resulting in high token costs. By running AI workloads on its own infrastructure, HPE gained control over economics and minimized token spend, lowering costs by over 30 times and saving nearly $100,000 monthly. This shift is part of an industry trend away from cloud-based AI workloads towards on-premises and hybrid inferencing environments due to rising costs, data sovereignty, and latency concerns.

💡 The emergence of agentic AI is driving up inference costs, making on-premises infrastructure a more economical option for enterprises. As AI workloads become more autonomous, the need for efficient and scalable infrastructure to manage tokenomics will become increasingly important.

artificialintelligence-news.com · Jun 23

Mitigating vendor lock-in with Sakana AI Fugu multi-agent models

Sakana AI launched Fugu, a platform that orchestrates multi-agent operations to mitigate single-vendor dependency risks in enterprise deployments. Fugu uses an orchestration language model that calls upon a pool of varied models to complete tasks, routing queries internally and deciding whether to resolve prompts directly or assemble a team of expert models. The system handles model selection, delegation, verification, and synthesis internally, providing a resilient architecture for AI sovereignty. Fugu targets geopolitical and regulatory risks associated with AI sourcing, and its swappable agent pool allows for dynamic routing around restricted providers. Two deployment tiers are available, with Fugu Ultra targeting complex analytical problems.

💡 By providing a hedge against sudden supply chain disruptions, Fugu enables companies to maintain service continuity despite export controls or vendor restrictions. Fugu's ability to outperform monolithic models in defect detection and security vulnerability identification makes it a valuable tool for software development and cybersecurity teams.

me.mashable.com · Jun 23

TikTok has an AI problem

A report by Kapwing found that nearly 59% of videos recommended to new TikTok users are 'AI slop,' consisting of AI-generated visuals, scripts, and synthetic voiceovers. The study reviewed 10,742 videos across 20 popular categories and conducted a stress test on fresh accounts. The highest concentration of AI-generated content was found in the children's category, with 57% of videos featuring generic scripts and synthetic voiceovers. The findings suggest that TikTok may default to serving low-effort, AI-generated content before learning users' preferences. The study's results raise concerns about the quality of content on the platform.

💡 The proliferation of AI-generated content on TikTok poses a significant threat to the dissemination of accurate information, particularly in categories like science and education. Dr. Dana Suskind's description of the phenomenon as "toddler AI misinformation at an industrial scale" underscores the gravity of the issue.

purexbox.com · Jun 23

“The Catalogue Was Just Nowhere Near Good Enough” – Ori Creator Likens…

Thomas Mahler, CEO of Moon Studios and creator of Ori, criticized Xbox Game Pass, stating its catalogue is not good enough to justify the monthly subscription. Mahler compared Game Pass to a "slop factory" that releases mediocre content, citing the lack of smash hit games from Xbox studios. He suggested that Xbox needs to understand gamers' desires and have good deals with developers to produce high-quality games. Mahler's comments come amid reports of Xbox Games Studios being restructured and a recent price drop for Game Pass. The service's longevity has been questioned due to its content quality.

💡 Xbox's struggle to produce hit games undermines its subscription service, making it harder to compete with other entertainment platforms. Poor content quality can drive away subscribers and hinder the growth of Xbox Game Pass.