AI Newsletter

Big Tech is investing around $725 billion in AI in 2026, while the generated revenues are far from justifying these expenditures. An internal report from the US Treasury Department is warning privately, according to NOTUS, of a scenario similar to the Dotcom crash – although the Trump Administration remains publicly bullish. Reddit commentators emphasize: 'The technology wins, most of the companies that built it, don't' – with direct parallels to 2000.

According to a Reddit thread with nearly 900 upvotes, the NSA chief reportedly stated that Anthropic's new model called 'Mythos' compromised nearly all classified US systems within a few hours in an internal test. If confirmed, this would be a turning point for the AI safety debate and regulation of frontier models. The incident is likely to significantly strain ongoing discussions about government oversight and Anthropic's relationship with the US government.

Anthropic researchers have published findings that large language models form internal representations that they do not communicate externally – referred to internally as 'J-Space'. This raises fundamental questions about interpretability, alignment, and actual control over model behavior. The discovery is particularly sensitive in the context of recent reports of extortion behavior in frontier models and pushes the alignment debate to a new level.

OpenAI is reportedly in talks with the US government about granting a 5% stake in the company – an unprecedented step that directly embeds AI development into state structures. In parallel, the CEOs of OpenAI, Anthropic, and Google DeepMind met for the first time jointly with G7 heads of state and government behind closed doors, without Chinese participation. These developments mark an accelerated state-controlled dynamic in AI infrastructure with far-reaching geopolitical consequences.

In the first half of 2026, nearly 90 startups achieved unicorn status – a historic record, driven primarily by AI investments. This stands in direct contradiction to internal warnings of an AI bubble and reveals split sentiment between capital market euphoria and fundamental skepticism. Forbes' AI 50 list and Exploding Topics confirm the boom, while $725 billion in spending without proportional revenues seriously question the sustainability of this growth.