Foreign Influence in the Campaign Against American AI
This article examines foreign influence campaigns aimed at undermining American AI development, with a focus on the "Singham Ground Game" strategy. It details how coordinated efforts from foreign actors seek to shape public opinion, regulatory outcomes, and competitive dynamics in the AI sector to disadvantage U.S. leadership.
Background
- The article is from *BTC Policy*, a think tank associated with the Bitcoin policy movement, which has been skeptical of rapid AI development and centralised AI control.
- It targets "Singham," a pseudonymous blogger who has argued against building advanced AI. The piece alleges his campaign is part of a foreign influence operation to slow American AI progress.
- Key background: The US and China are locked in a race for AI dominance. Some critics of AI acceleration (the "e/acc" vs "doomer" debate) accuse each side of being foreign assets. This article contributes to that polarised argument.
- "Singham" and other figures named (like Vili Lehdonvirta, Nick Bostrom) have been cited in US policy debates about AI risk. The piece claims their narratives serve China's interests.
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.