
OpenAI's Astra model employs a new reasoning technique called 'recurrent depth,' which has raised concerns among AI safety experts due to its potential to obscure the model's reasoning process. This technique, also known as 'opaque recurrence,' allows the model to process queries in a loop, making its chain of thought less transparent. Although OpenAI claims the technique's use is limited and emphasizes their commitment to monitoring, experts fear it could lead to less accountable AI systems. The development underscores the ongoing challenge of balancing AI innovation with safety and transparency.
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© TechCrunch AIxAI's attempt to dismiss the NAACP's Clean Air Act lawsuit failed after a federal judge ruled that its gas turbines are not exempt mobile sources and that plaintiffs have standing. This legal setback confirms that AI infrastructure operators cannot bypass environmental permitting by classifying heavy industrial equipment as temporary or mobile. The ruling forces xAI to face scrutiny over air quality impacts at its Colossus data center, setting a precedent for how large-scale compute facilities are regulated under existing environmental laws.
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OpenAI's Astra Model Meets Critical Cybersecurity Threshold
19 developments
OpenAI is scaling back its ambitions as investor appetite for massive AI infrastructure bets cools. The company has lowered its fundraising target from $30 billion to $20 billion, with only $11 billion secured so far against a valuation that has dropped from $1.4 trillion. This retreat signals a growing wariness among Wall Street investors regarding the capital intensity of the AI race, forcing even the most dominant players to adjust their financial expectations.