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@rakyll
ML/AI Systems at Google. Simplicity and optimism. Personal opinions. 🇺🇸🇪🇺
AI
A user calls reinforcement learning dangerous, comparing it to “the ends justify the means” written down in math.
AI
An essay argues that falling prices and surging token use favor platforms that control distribution over benchmark-leading labs.
AI
A post argues that strong AI-agent Rust skills would bolster its case if developers don't read every generated line.
AI
Google announces a 1 million-token output limit, up from 64,000, for its new model. Initial access goes to trusted cyber defenders through the Fairwind Program.
AI
A post announcing the donation says the project’s submission was accepted on September 30. The linked project summary describes a runtime for large-scale AI agent deployments on Kubernetes.
AI
An essay argues that engineers’ work is shifting from writing code by hand to designing systems that let AI code correctly at scale, using tests, review agents and feedback loops.
AI
A user describes models helping improve the software stack and suggests letting a coding agent run freely in a sandbox environment.
AI
A developer involved in the work says the team is rethinking Kubernetes for stateful agent workloads and fast resumption, alongside building Google's open agent orchestrator and runtime.
AI
A post crosses out “Coding” and replaces it with “Recursively Self Improving.”
AI
A single session managing other agents should be enough with the best models, one user argues. A reply reports built-in handoff problems that made a product undeliverable.
AI
Junior programmers also run their own agents, Siemens says—so managing AI isn't limited to senior staff.
AI
A user jokes that the AI declaration is the new “we have totally obliterated Iran’s military capabilities.”
AI
Google engineer discusses her contributions to the editor's development.
AI
Principal software engineer at Google shares brief note on tensor processing units.
