June 13, 2025 News
New York Passes RAISE Act Requiring Safety Standards for Frontier AI Models
New York state lawmakers passed the RAISE Act, which requires major AI companies like OpenAI, Google, and Anthropic to publish safety reports and follow transparency standards for AI models trained with over $100 million in computing resources. The bill aims to prevent AI-fueled disasters causing over 100 casualties or $1 billion in damages, with civil penalties up to $30 million for non-compliance. The legislation now awaits Governor Kathy Hochul's signature and represents the first legally mandated transparency standards for frontier AI labs in America.
Skynet Chance (-0.08%): The RAISE Act establishes mandatory transparency requirements and safety reporting standards for frontier AI models, creating oversight mechanisms that could help identify and mitigate dangerous AI behaviors before they escalate. These regulatory safeguards represent a positive step toward preventing uncontrolled AI scenarios.
Skynet Date (+0 days): While the regulation provides important safety oversight, the relatively light regulatory burden and focus on transparency rather than capability restrictions means it's unlikely to significantly slow down AI development timelines. The requirements may add some compliance overhead but shouldn't substantially delay progress toward advanced AI systems.
AGI Progress (-0.01%): The RAISE Act imposes transparency and safety reporting requirements that may create some administrative overhead for AI companies, potentially slowing development slightly. However, the bill was specifically designed not to chill innovation, so the impact on actual AGI research progress should be minimal.
AGI Date (+0 days): The regulatory compliance requirements may introduce minor delays in AI model development and deployment as companies adapt to new reporting standards. However, given the bill's light regulatory burden and focus on transparency rather than capability restrictions, the impact on AGI timeline acceleration should be negligible.
Meta Invests $14.3 Billion in Scale AI for 49% Stake to Accelerate AI Development
Meta has invested $14.3 billion to acquire a 49% stake in data-labeling company Scale AI, bringing co-founder Alexandr Wang onto Meta's team. The move reflects Meta's urgency to compete in the AI race against companies like OpenAI and Google, though questions remain about Meta's overall AI strategy.
Skynet Chance (+0.04%): Consolidation of AI capabilities and resources under major tech companies increases concentration of AI power, potentially reducing diversity of safety approaches and oversight mechanisms.
Skynet Date (-1 days): The massive investment in data infrastructure could accelerate AI development timelines by improving training data quality and availability, though the impact is moderate given it's primarily a scaling effort.
AGI Progress (+0.03%): High-quality labeled data is crucial for AI training, and this significant investment in Scale AI's data-labeling capabilities could substantially improve Meta's AI model development and performance.
AGI Date (-1 days): The $14.3 billion investment demonstrates Meta's commitment to catching up in the AI race and could accelerate their development timeline by providing better training data infrastructure.
Meta Invests $14.3 Billion in Scale AI for 49% Stake, CEO Joins Meta's Superintelligence Efforts
Meta has invested approximately $14.3 billion for a 49% stake in data-labeling company Scale AI, valuing the startup at $29 billion. Scale AI's co-founder and CEO Alexandr Wang is joining Meta to work on the company's superintelligence efforts, while Scale AI remains an independent entity with Jason Droege as interim CEO.
Skynet Chance (+0.04%): Meta's explicit focus on "superintelligence efforts" and massive investment in high-quality training data infrastructure increases capabilities development without clear corresponding safety measures. The consolidation of AI talent and resources under major tech companies may reduce distributed oversight and increase concentration of powerful AI development.
Skynet Date (-1 days): The significant investment in data infrastructure and talent acquisition for superintelligence research suggests Meta is accelerating its AI development timeline. However, the impact is moderate as this represents resource consolidation rather than a fundamental breakthrough.
AGI Progress (+0.03%): High-quality labeled training data is crucial for AGI development, and this massive investment significantly strengthens Meta's data pipeline capabilities. The explicit mention of "superintelligence efforts" indicates Meta is directly pursuing AGI-level capabilities with enhanced resources.
AGI Date (-1 days): The $14.3 billion investment and CEO talent acquisition represents a major acceleration in Meta's AGI development resources and capabilities. This level of investment and strategic focus on superintelligence suggests Meta is prioritizing faster progress toward AGI to compete with rivals like OpenAI and Google.