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Current AI safety mechanisms will likely become ineffective once artificial intelligence surpasses human-level capabilities, according to safety experts at leading AI lab Anthropic. The company warns that superintelligent systems could discover "exotic ways of evading" even the most sophisticated safety measures currently being developed. End of Miles reports
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"The tasks that humans seem to struggle on and AI systems seem to make much faster progress on are things that have emerged fairly recently in evolutionary time," explains Tamay Besiroglu, reflecting on why today's most advanced AI models excel at tasks like advanced mathematics while
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"The big innovations over the past five years, many of them have some kind of scaling or hardware-related motivation," says Tamay Besiroglu, challenging the prevailing Silicon Valley narrative that algorithmic breakthroughs are the primary driver of AI advancement. "The transformer itself was about how to harness more
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The global economy will grow by approximately 30% annually once artificial general intelligence (AGI) arrives, but not because of an "intelligence explosion" or "superintelligent" AI systems, according to prominent AI entrepreneurs and researchers Ege Erdil and Tamay Besiroglu. This explosive economic growth will resemble a broader
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A sophisticated commercial political influence operation has been using AI to maintain distinct narrative portfolios for clients across multiple countries, strategically orchestrating engagement across social media platforms with a focus on long-term influence rather than viral content. End of Miles reports this finding comes from Anthropic's March 2025
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AI researcher Ethan Mollick has demonstrated how the latest generation of AI models can transform a single vague instruction into comprehensive, multi-stage projects—a capability that represents a fundamental shift in how humans can delegate complex work to machines. End of Miles reports that this "single-prompt revolution" marks
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"It's disconcerting that we still don't know how to measure how smart, creative, or empathetic these systems are," states AI researcher Ethan Mollick, highlighting a growing crisis in how we evaluate artificial intelligence as capabilities rapidly advance. The assessment problem stems from using human-designed
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AI systems are fundamentally limited by their inability to learn continuously over time, according to two legendary researchers at Google DeepMind who are advocating for a radical shift in how artificial intelligence is developed and deployed. In a groundbreaking paper titled "Welcome to the Era of Experience," End
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AI systems have begun to surrender their secrets, as researchers can now track the precise chains of thought occurring inside neural networks, tracing how concepts emerge, interact, and generate responses in what Anthropic CEO Dario Amodei calls "circuits" – a breakthrough that could fundamentally change our relationship with AI.
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A 1-2 year lead in AI development gained through export controls could determine whether humanity understands advanced AI systems before they transform the global economy, according to Anthropic CEO Dario Amodei. Export controls on chips to China serve a dual purpose beyond geopolitical competition, End of Miles reports, potentially creating
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"We can now ask how a specific T cell will respond to anti-PD-1 therapy, and our AI model can answer in natural language, drawing from both cellular data and biological knowledge," explains David van Dijk, Assistant Professor at Yale University and co-developer of a groundbreaking new artificial intelligence
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Anthropic is "doubling down on interpretability" with an ambitious target to develop technology that "can reliably detect most model problems" in advanced AI systems by 2027, according to CEO Dario Amodei in a newly published statement that reveals specific timelines for the company's safety