AI is dramatically accelerating AI research right now (17 minute read)
Anthropic claims it may imminently meet its own threshold of 'dramatically accelerated progress due to AI'. Some researchers believe the company has already crossed that threshold. This may be the biggest AI risk humanity has faced. The industry is not prepared to handle this safely.
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A year as a Research Engineer working on RSI at Meta (8 minute read)
This post details the experience of a research engineer working on RSI at Meta teaching agents to solve the world's hardest problems with tokens and compute. Their role is to teach AI agents how to train the next generation of models and self-evolve. The post details how to get into AI research, what skills matter in research engineering, and more.
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What the heck is going on with OpenAI internal AI R&D time horizons (7 minute read)
OpenAI's report on its own research automation shows that models struggle to do its R&D work. Recursive self-improvement is supposed to be one of the most consequential AI developments in the next few years. Agents are increasingly solving more complex tasks for researchers, but reliability is still low. This post looks at some possible explanations for why.
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How Anthropic Builds Agent Memory (14 minute read)
Anthropic explored how AI agents can build effective long-term memory by capturing experiences during interactions and reorganizing them during idle periods through a process called “dreaming.” The post examines how different memory components contribute to organizing and retaining useful information.
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Ace (Website)
Ace is a tool for building software together, locally. It allows developers to collaborate with agents and their teams, all from their own machine. Agents run with the privileges of the user running the host and can execute shell commands and change files beyond the project. Teams can work together without exposing anything to the public internet.
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Introducing the New Auto and Auto Code Routers (11 minute read)
OpenRouter has launched the next generation of Auto Router, which outperforms the old router by up to 4x. The launch includes Auto Code, a new router specialized for coding work. The new Auto Router and Auto Code choose models by weighing eleven factors about each request and combining them with live pricing, provider health, and cache status. Users can apply any governance policies, and Auto Router makes efficient choices from the models available.
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A proof of the Aaronson-Ambainis conjecture (9 minute read)
The Aaronson-Ambainis conjecture, a key open problem in quantum complexity theory, has been proven by a research system developed at PSI using an Anthropic model. This proof shows quantum computers are not exponentially faster on random inputs compared to classical ones, resolving a significant question about quantum speedups.
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The End of AI Frontiers (4 minute read)
AI Frontiers was a sub-organization within Microsoft Research that actively tried to organize coherent research efforts. It succeeded in pioneering things, with much of the work focused on how to make agents work. AI Frontiers was reorganized into Microsoft AI in early September.
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What Does a Positive AI Future Look Like? (3 minute read)
Patrick Collison questions how work, resource allocation, and human control would function in a positive AI future. He also argues that granting moral worth to vastly numerous AIs could overwhelm human interests under utilitarianism, raising unresolved questions about AI's societal vision and public support.
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