WhiteICE v1.37b with improved RL algorithms to increase concentration
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technocracy
Anthropic walks into the White House and Mythos is the reason Washington let it in
When we covered Project Glasswing earlier this month, the story was about a model too dangerous to release publicly and what Anthropic decided to do with it instead. That story has moved. On Friday, Anthropic CEO Dario Amodei walked into the West Wing for a meeting with White House Chief of Staff Susie Wiles. Treasury Secretary Scott Bessent was also in the room. The White House called the talks “productive and constructive.” Anthropic said the same. When a […]
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Em dash
I’m occasionally accused of using LLMs to write the content on my blog. I don’t do that, and I don’t think my writing has much of an LLM smell to it… with one notable exception: # Finally, do em dashes s = s.replace(‘ – ‘, u’u2014’) That code to add em dashes to my posts dates back to at least 2015 when I ported my blog from an older version of Django (in a long-lost Mercurial repository) and […]
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Stable Deep Reinforcement Learning via Isotropic Gaussian Representations
Deep reinforcement learning systems often suffer from unstable training dynamics due to non-stationarity, where learning objectives and data distributions evolve over time. We show that under non-stationary targets, isotropic Gaussian embeddings are provably advantageous. In particular, they induce stable tracking of time-varying targets for linear readouts, achieve maximal entropy under a fixed variance budget, and encourage a balanced use of all representational dimensions–all of which enable agents to be more adaptive and stable. Building on this insight, we […]
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Deep Learning for Autonomous Drone Navigation (RGB-D only) – How would you approach this?
Hi everyone, I’m working on a university project and could really use some advice from people with more experience in autonomous navigation / RL / simulation. Task: I need to design a deep learning model that directly controls a drone (x, y, z, pitch, yaw — roll probably doesn’t make much sense here 😅). The drone should autonomously patrol and map indoor and outdoor environments. Example use case: A warehouse where the drone automatically flies through all aisles […]
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Probably Approximately Consensus: On the Learning Theory of Finding Common Ground
A primary goal of online deliberation platforms is to identify ideas that are broadly agreeable to a community of users through their expressed preferences. Yet, consensus elicitation should ideally extend beyond the specific statements provided by users and should incorporate the relative salience of particular topics. We address this issue by modelling consensus as an interval in a one-dimensional opinion space derived from potentially high-dimensional data via embedding and dimensionality reduction. We define an objective that maximizes expected […]
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Which AI chatbot do you use to brainstorm and improve your RL training?
Hey, I’m working on a RL project with a coach/trainer module, and I regularly brainstorm with AI chatbots (Claude, ChatGPT, Gemini) to analyze decision quality, debug training issues, and find improvements. The problem: this back-and-forth is very time-consuming, and I’m looking to optimize it. A few questions: 1. Which chatbot do you find most effective for RL-specific brainstorming (policy issues, reward design, training instabilities…)? 2. Any prompting strategies or workflows that save you time? Looking for feedback from […]
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Quality of Descriptive Information on Cultural Heritage Objects: Definition and Empirical Evaluation
arXiv:2602.21249v1 Announce Type: new Abstract: Effective data processing depends on the quality of the underlying data. However, quality issues such as inconsistencies and uncertainties, can significantly impede the processing and subsequent use of data. Despite the centrality of data quality to a wide range of computational tasks, there is currently no broadly accepted, domain-independent consensus on the definition of data quality. Existing frameworks primarily define data quality in ways that are tailored to specific domains, data types, or […]
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Use of operator defect identities in multi-channel signal plus residual-analysis via iterated products and telescoping energy-residuals: Applications to kernels in machine learning
We present a new operator theoretic framework for analysis of complex systems with intrinsic subdivisions into components, taking the form of "residuals" in general, and "telescoping energy residuals" in particular. We prove new results which yield admissibility/effectiveness, and new a priori bounds on energy residuals. Applications include infinite-dimensional Kaczmarz theory for $λ_{n}$-relaxed variants, and $λ_{n}$-effectiveness. And we give applications of our framework to generalized machine learning algorithms, greedy Kernel Principal Component Analysis (KPCA), proving explicit convergence results, residual […]
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TikTok deal is done; Trump wants praise while users fear MAGA tweaks
The TikTok deal is done, and Donald Trump is claiming a win, although it remains unclear if the joint venture he arranged with ByteDance and the Chinese government actually resolves Congress’ national security concerns. In a press release Thursday, TikTok announced the “TikTok USDS Joint Venture LLC,” an entity established to keep TikTok operating in the US. Giving Americans majority ownership, ByteDance retains 19.9 percent of the joint venture, the release said, which has been valued at $14 […]
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