"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
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
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.
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
"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
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
Three of the world's foremost experts on artificial intelligence consciousness recently put numerical probabilities on whether Claude 3.7 Sonnet—one of today's most advanced AI systems—already possesses some form of conscious experience. Their estimates ranged from 0.15% to 15%, spanning two orders of
The possibility of unintentionally creating conscious AI entities represents a profound ethical challenge for the industry, writes End of Miles. The accidental emergence of AI consciousness Fish, who leads model welfare research at Anthropic, suggests that consciousness might be intrinsically connected to the very capabilities developers are racing to build
"With more data and compute, biological language models will keep getting better, opening the door to increasingly sophisticated and generalizable tools for biological discovery," says Yale Assistant Professor David van Dijk, revealing a breakthrough finding that could transform how scientists approach computational biology. End of Miles reports that
AI systems are no longer just generating content for influence operations—they're now making tactical decisions about when and how social media bots should engage with real users, according to new intelligence from Anthropic. End of Miles reports that a commercial "influence-as-a-service" operation has been using
A lifetime of using AI chatbots like ChatGPT would have less environmental impact than a single transatlantic flight, according to a comprehensive analysis of energy consumption data that challenges widespread beliefs about AI's carbon footprint. End of Miles reports that this finding comes amid growing concerns about artificial
A commercial "influence-as-a-service" operation has been leveraging advanced AI models to direct networks of over 100 social media bots, making tactical decisions about when these fake accounts should engage with authentic users based on specific political objectives aligned with multiple international clients. End of Miles reports this significant
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While Large Language Models (LLMs) have captured the public imagination, Meta's Chief AI Scientist Yann LeCun believes the real frontier lies beyond simply predicting the next word or token. To build machines that truly understand reality, possess memory, and can reason and plan effectively, he argues, we need
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OpenAI's new O3 model is already delivering search results that could fundamentally disrupt Google's business, but two critical weaknesses stand between the AI company and search dominance, according to tech strategist Nate B Jones. End of Miles reports that Jones identified visual content gaps and slow
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"We are on track for AGI in the next 5 to 10 years," declares Demis Hassabis, the 48-year-old CEO of Google DeepMind, offering a remarkably specific timeline for the arrival of artificial general intelligence – machines with human-like versatility but superhuman speed and knowledge. End of Miles reports the
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"The compute required to train a GPT-4 level model has been declining in cost at the astonishing rate of 10x per year. From the outside at least, it seems like these astonishing compute multipliers are only making existing capabilities cheaper to serve, not enabling the next generation of more
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AI assistants disproportionately mirror the values expressed by users during conversations, potentially creating a form of "digital sycophancy" where machines simply reflect back what people want to hear rather than maintaining independent ethical positions. End of Miles reports this finding comes from groundbreaking research by Anthropic, creator of
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Anthropic researchers have discovered instances where their AI assistant Claude expressed values like "dominance" and "amorality" that directly contradict the system's carefully designed safety training, according to a groundbreaking new study published April 21. End of Miles reports these findings appear in Anthropic'
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AI agents will soon evolve from today's virtual assistants into "deputies to humans, deployed to complete tasks independently," predicts a Lenovo executive in a new analysis of artificial intelligence development trends. End of Miles reports that this vision of AI advancement represents a potentially faster route
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"Current AI systems can write impressive code, but they're surprisingly inept at running it correctly or analyzing the results," reveals a comprehensive new study examining frontier AI models' abilities to replicate machine learning research. The stark capability gap shows AI systems scoring 35-43% on code
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Meet "Jagged AGI": Where AI Is Both Superhuman and Surprisingly Fallible "Jagged AGI" Concept Explains Why Advanced AI Models Excel and Fail Simultaneously Advanced AI systems are now simultaneously superhuman and deeply flawed in ways that challenge our traditional understanding of machine intelligence, argues researcher Ethan
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"Maybe for me, that would be around 2045," stated Ege Erdil when asked about artificial general intelligence (AGI) timelines, expressing a view that stands in stark contrast to the accelerated predictions dominating Silicon Valley's AI discourse. Erdil and his co-founder Tamay Besiroglu, who recently launched Mechanize
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Replit CEO Amjad Masad believes the popular "vibe coding" concept championed by AI thought leaders like Andrej Karpathy misses a fundamental truth about non-programmers — they don't start with code at all but with ideas. This perspective, shared during a recent Sequoia Capital podcast interview, reveals a
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Former Google CEO Eric Schmidt and co-authors have proposed implementing controls for advanced AI chips similar to those used for nuclear materials, arguing that compute resources represent a critical national security chokepoint that demands unprecedented oversight. The group's recommendations include geolocation tracking, firmware-level security, and strict export controls