633: AI’s All-You-Can-Eat Era is Ending, Google's Two-Chip TPU Strategy, OpenAI & Microsoft's New Deal, Musk's AI Reboot, SpaceX AI & Cursor, My Thoughts on GPT-5.5, and Pancreatic Cancer Vaccine

2026-04-29 · Source: Liberty’s Highlights · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Emerging Technologies & Innovation · Depth: Advanced, long

Summary

OpenAI recently released ChatGPT Image 2.0, which users are testing for tasks like remastering old family photos. While the model extrapolates details and colors, it performs well in retaining facial features and can emulate specific camera types or film stocks. In other AI developments, Microsoft and OpenAI have revised their 2019 investment deal, removing the AGI clause and adjusting revenue sharing and IP rights, allowing OpenAI to sell APIs on platforms like Amazon AWS. Elon Musk's xAI is partnering with Cursor to train its Composer 2.5 coding model on xAI's GPU infrastructure, despite xAI's low GPU utilization and the departure of co-founders. Additionally, AI service providers like GitHub Copilot and Anthropic are transitioning to usage-based billing models, reflecting increasing compute demands and the unsustainability of flat-rate pricing. Google has also introduced its new two-chip TPU strategy, with the TPU 8t for training and TPU 8i for inference, claiming significant performance-per-dollar improvements over previous generations.

Key takeaway

For CTOs and AI Product Managers navigating the evolving AI landscape, recognize that the "all-you-can-eat" model for AI services is ending. You should prepare for usage-based billing from providers like GitHub and Anthropic, which necessitates careful cost management and optimization of AI workloads. Evaluate specialized hardware like Google's new TPUs for potential efficiency gains in training and inference, and consider the strategic implications of shifting partnerships and model capabilities when planning your AI infrastructure and product roadmaps.

Key insights

AI models are advancing rapidly, driving shifts in business models and hardware strategies.

Principles

• AI model capabilities influence strategic partnerships.
• Usage-based billing aligns with escalating AI compute costs.
• Specialized hardware improves AI training and inference efficiency.

Method

OpenAI's ChatGPT Image 2.0 can remaster photos by extrapolating details and colors, with user steering to retain specific features and emulate camera/film types.

In practice

• Use ChatGPT Image 2.0 to remaster old photos.
• Explore Google's TPU 8t/8i for specialized AI workloads.

Topics

• OpenAI Microsoft Deal
• xAI Cursor Acquisition
• Usage-Based AI Billing
• Google TPU Architecture
• GPT-5.5 Model

Best for: CTO, VP of Engineering/Data, AI Product Manager, Director of AI/ML, AI Scientist, Investor

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Editorial summary, takeaway, and curation by AIssential. Original article published by Liberty’s Highlights.