Meta plans to sell excess AI computing capacity to other companies, mirroring SpaceX’s model of monetizing surplus resources. The strategy aims to generate revenue from unused infrastructure while expanding Meta’s influence in the AI ecosystem.
Background
- Meta (Facebook's parent) is reportedly planning to sell excess computing capacity from its massive AI infrastructure to other companies — a move that mirrors what SpaceX did with its Starlink satellite internet business.
- SpaceX originally built Starlink to fund its Mars ambitions, selling internet service to generate revenue from its satellite network. Meta now appears to be applying the same logic: it built enormous data-center capacity for its own AI needs (e.g., training Llama models), and now wants to monetize spare compute cycles by renting them out.
- This is notable because Meta historically kept its infrastructure closed. Opening it up would put Meta in direct competition with cloud giants like Amazon (AWS), Microsoft (Azure), and Google (GCP), as well as specialist GPU-rental firms like CoreWeave.
- The backdrop: AI compute (especially Nvidia H100/B200 GPUs) is extremely expensive and scarce. Companies that can afford to build at massive scale — Meta, Google, Microsoft — are sitting on a resource others desperately need. Selling access is a way to turn a cost center into a profit center.
Max Weinbach says he had early access to OpenAI's new model GPT-5.6 Sol, calling it his favorite model by far. He highlights that it never gives up and will keep reasoning until it's done. OpenAI announced that GPT-5.6 Sol, along with Terra and Luna, will launch publicly on Thursday, with preview access expanding globally now.
The US government ordered Anthropic to suspend access to its Fable 5 and Mythos 5 models for all customers, citing a potential jailbreak technique that involved asking the model to review a codebase for vulnerabilities—a capability Anthropic says is available in other public models. Access was abruptly cut off on June 12.
Andrej Karpathy announces the release of Claude Fable 5, the same underlying model as Mythos but with added safeguards. He calls it a major step forward, particularly for long problem-solving sessions on difficult tasks, and describes it as state-of-the-art on nearly all benchmarks with exceptional performance in software engineering, research, and vision.
Roman Storm warns that the legal theory in his case could set a precedent making open-source developers liable for how others use their code, potentially criminalizing the mere publication of privacy, messaging, or crypto tools. He notes that developer Michael Lewellen cannot publish lawful code due to prosecution fears, and argues this chilling effect extends beyond any single case.
Meta's engineering culture is deteriorating under Mark Zuckerberg and Scale AI CEO Alexandr Wang, who have introduced keyboard tracking, reassignments to data labeling, and AI-centric performance metrics. Critics argue this incentivizes performative AI use, drives away experienced engineers, and contributed to a major Instagram hijacking incident caused by AI-written and AI-reviewed code.