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OpenAI's upcoming Astra model reportedly uses looped transformers without an interpretable chain of thought, indicating faster AI progress than predicted by AI 2027 forecasts.
The user seeks overlooked predictions about AI and technology by 2030, reflecting on the rapid mainstream adoption of large language models since 2023.
Anthropic researcher Sholto Douglas predicts that AI models will be capable of automating 95% of computer-facing jobs by 2028, but widespread automation may not occur until the 2030s due to factors like compute shortages and policy, stressing the need for societal preparation.
Elon Musk predicts that by 2036, AI and robotics will make goods and services so abundant that money may become irrelevant, sparking debate on deflation, universal basic income, and political feasibility.
A user asks for predictions on the possibility and timeline of recursive self-improvement (RSI) in AI.
Sebastian Mallaby predicts that by 2028, AI will achieve recursive self-improvement, where frontier models autonomously code the next generation, leading to vertical progress and ending the race for superintelligence.
The article examines whether AI predictions for the World Cup are genuinely accurate or simply reflect confirmation bias.
Ray Kurzweil predicts that AGI will be achieved by 2029, human lifespan will significantly extend after 2032, AI will eventually merge with the human body, and he emphasizes the importance of thinking in terms of exponential growth.
Recommends following @citrini's AI and semiconductor analysis account, detailing the accurate prediction records of two analysts, Jukan and Zephyr, including LG Innotek's stock surge, DRAM pricing power shift, etc., emphasizing the intelligence value in AI chips, memory, and supply chain.
A reflective post on how quickly opinions in AI change, cautioning against rigid beliefs and emphasizing adaptability over perfect prediction.
Marc Andreessen shares an interesting snippet from Lenny Rachitsky's podcast where Dan Shipper's past AI predictions proved accurate, including the overlooked importance of Claude Code.
Lenny Rachitsky shares Dan Shipper's bullish prediction on SaaS stocks and reflects on his accurate AI predictions from a year ago, including the underappreciated rise of Claude Code.
Dan Shipper returns to the podcast to discuss AI predictions, including the rise of Claude Code, the future of super-agents in Slack, and the non-occurrence of an AI job apocalypse.
Researchers from University College London published findings in Science Advances showing that a quantum computer connected to a supercomputer at the Leibniz Supercomputing Centre can enhance AI model predictions for complex fluid dynamics simulations, demonstrating practical quantum advantage over classical computing alone.