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Taiwan’s Nvidia server-smuggling probe shows how AI export enforcement is moving from individual chips to complete systems.

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How we contain Claude across products A complaint I often have about sandboxing products is that they are rarely thoroughly documented, and in the absence of detailed documentation it’s hard to know how much I can trust them. Anthropic just published a fantastic overview of how their various sandbox techniques work across Claude.ai, Claude Code, and Cowork. We constrain where and how an agent can act with process sandboxes, VMs, filesystem boundaries, and egress controls. The goal is […]

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Text-to-speech TTS moved fast over the past year. The line between synthetic and human speech narrowed. Latency dropped below 100 milliseconds for some real-time systems. Emotional control became a standard feature rather than a research demo. This guide reviews the models that really matter in 2026. It is written for AI professionals choosing a model for production. How to read TTS benchmarks in 2026 Two benchmarks dominate in most community discussions. The first is the Artificial Analysis Speech […]

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Research: Running Python ASGI apps in the browser via Pyodide + a service worker Datasette Lite is my version of Datasette that runs entirely in the browser using Pyodide in WebAssembly. When I first built it four years ago I used Web Workers and code that intercepts navigation operations and fetches the generated HTML by running the Python app. This worked, but had the disadvantage that any JavaScript in <script> tags would not be executed – breaking some […]

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Let’s learn about Future Of Finance via these 230 free blog posts. They are ordered by HackerNoon reader engagement data. Visit the Learn Repo or LearnRepo.com to find the most read blog posts about any technology. The future of finance is here. 1. Spray, Pray, and Go Away: Investing is an Art It is the knowledge that I’m going to die that creates the focus that I bring to being alive. The urgency of accomplishment. 2. The Fed’s […]

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This is a linkpost for my Harvard Crimson op-ed for its commencement issue. I will not reproduce the whole text here, but my advice to the class of 2026 is in the following parts: My advice for the Class of 2026 is to embrace AI as a technology, but treat it critically as citizens. … Throughout your time at Harvard, you received mixed signals on whether AI was to be avoided or carefully used in approved sandboxes. My signal to […]

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I Am Retiring from Tech to Live Offline I’ve seen a lot of posts on forums from people threatening to quit their careers over AI. This is not one of those: Chad Whitacre is taking concrete steps, starting with this typewritten, scanned letter I’m retiring from tech. Well, “retiring” is euphemistic. I’m stepping away from tech, and that includes Open Source. […] AI was the last straw. Have you heard of that island off India where the indigenous […]

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I use Tensorboard to plot my reward function, and all of my individual and aggregated losses. Depending on the model I also plot certain parameters, such as an entropy or discount term. I have no other formal way of evaluating RL. I’d highly appreciate sharing best practices with others. What do you typically use? I heard some people register the <S, A, R, S’> but I do not see how this can be valuable in highly complex environments […]

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Hey everyone, I’ve been building a small tool for robotics/RL teams to test policies in simulation and make it easier to catch and inspect failure cases. I’m looking for a few people to try it out and share honest feedback. If you work with robot learning, simulation, Gym, MuJoCo, Isaac, or similar and this sounds useful, feel free to DM me. submitted by /u/Odd_Cantaloupe6307 [link] [comments]

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I want to develop an LLM that can solve open-ended math problems (such as proof-only problems). This means that RLVR where we use the final answer alone as reward signal is not enough. Since SFT is useless here and GRPO/PPO methods will not have an appropriate reward function, what kind of fine-tuning can I do? For data, I will use the MathNet dataset. submitted by /u/TechNerd10191 [link] [comments]

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