Adapting Psychiatric Training to the Chatbot Revolution - Psychiatric Times
<a href="https://news.google.com/rss/articles/CBMimAFBVV95cUxOWjlBRHJzcGdMNy13TFJwQ0ZsTC1FODFGVXd4MnJFYkFlRUJaaUVETENmU2Q1SG9rSGxJUGhTeXhhdzA2cklLbzlYTUR3TEhaRURXX0lkRXRwRV9USWtBQnBZYU44dE1mUkpKU1o2OEJLX2lUUE81QUY2VTlhS1FJWXZFTC15dzFRUlZQOVhOZm12OVBRelJGUQ?oc=5" target="_blank">Adapting Psychiatric Training to the Chatbot Revolution</a> <font color="#6f6f6f">Psychiatric Times</font>
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The gig workers who are training humanoid robots at home
When Zeus, a medical student living in a hilltop city in central Nigeria, returns to his studio apartment from a long day at the hospital, he turns on his ring light, straps his iPhone to his forehead, and starts recording himself. He raises his hands in front of him like a sleepwalker and puts a…

The Illusion of Data Custody in Legal AI — and the Architecture I Built to Replace It
<p>**There is a moment every legal AI founder eventually has to confront.</p> <p>You have built a capable system. The retrieval is good. The citations hold up. The interface is clean. A lawyer uploads a sensitive client document and asks a question. The system answers correctly.</p> <p>Then they ask: what happens to this document when I delete it?<br> And that is where most legal AI products fail quietly.</p> <p>Not because the founders were careless. Because they treated data custody as a policy question rather than an architecture question. They added a delete button, wrote a privacy policy, and moved on.</p> <p>This article is about what I built instead — and why the distinction between a deletion confirmation and a cryptographic Destruction Receipt matters enormously in legal contexts.

CADReasoner: Iterative Program Editing for CAD Reverse Engineering
arXiv:2603.29847v1 Announce Type: cross Abstract: Computer-Aided Design (CAD) powers modern engineering, yet producing high-quality parts still demands substantial expert effort. Many AI systems tackle CAD reverse engineering, but most are single-pass and miss fine geometric details. In contrast, human engineers compare the input shape with the reconstruction and iteratively modify the design based on remaining discrepancies. Agent-based methods mimic this loop with frozen VLMs, but weak 3D grounding of current foundation models limits reliability and efficiency. We introduce CADReasoner, a model trained to iteratively refine its prediction using geometric discrepancy between the input and the predicted shape. The model outputs a runnable CadQuery Python program whose rendered mesh is fed
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The gig workers who are training humanoid robots at home
When Zeus, a medical student living in a hilltop city in central Nigeria, returns to his studio apartment from a long day at the hospital, he turns on his ring light, straps his iPhone to his forehead, and starts recording himself. He raises his hands in front of him like a sleepwalker and puts a…
OpenAI announces new ‘human powered’ ChatGPT-6 - huckmag.com
<a href="https://news.google.com/rss/articles/CBMifEFVX3lxTE9LN0tjMk9wOVNQcWROVHBKeV9zSm5nTEhENzA0U2dmRDhDNjE4Zm9jLVNpNGFhX2FFei1vakZqWDhNY1JQdnNkS0ZDVFFSbHFTUjUxY3hHNERiS2tIcXNGVkc3TS1WbndwT2laeXVzMmhtWndEWER5ck9qS04?oc=5" target="_blank">OpenAI announces new ‘human powered’ ChatGPT-6</a> <font color="#6f6f6f">huckmag.com</font>
Exclusive | The Sudden Fall of OpenAI’s Most Hyped Product Since ChatGPT - WSJ
<a href="https://news.google.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?oc=5" target="_blank">Exclusive | The Sudden Fall of OpenAI’s Most Hyped Product Since ChatGPT</a> <font color="#6f6f6f">WSJ</font>
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