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StepFun Releases StepAudio 2.5 Realtime: An End-to-End Voice Model with Roleplay-Specific RLHF and Paralinguistic Comprehension

StepFun Releases StepAudio 2.5 Realtime: An End-to-End Voice Model with Roleplay-Specific RLHF and Paralinguistic Comprehension

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StepFun, the Shanghai-based AI lab, released StepAudio 2.5 Realtime. It is an end-to-end real-time speech large language model with fully customizable persona capabilities. StepAudio 2.5 Realtime is a voice model that operates in real time. Unlike pipeline-based systems that separate speech recognition, reasoning, and synthesis into sequential steps, this is an end-to-end model. Audio goes in and audio comes out through a single unified system. The model supports Chinese and English. It connects via a WebSocket API. The […]

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datasette-fixtures 0.1a0

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Release: datasette-fixtures 0.1a0 One of the smaller features in Datasette 1.0a30 is this: New documented datasette.fixtures.populate_fixture_database(conn) helper for creating the fixture database tables used by Datasette’s own tests, intended for plugin test suites. This new plugin takes advantage of that API. You can try it out using uvx without even installing Datasette like this: uvx –prerelease=allow –with datasette-fixtures datasette –get /fixtures/roadside_attractions.json Which outputs: { “ok”: true, “next”: null, “rows”: [ {“pk”: 1, “name”: “The Mystery Spot”, “address”: “465 […]

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Quoting Armin Ronacher

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The most frustrating failure mode right now is that people submit issues that are not in their own voice. They contain an observed problem somewhere, but it has been thrown into a clanker and the clanker reworded it and made a huge mess of it. Typically, it was prompted so badly that the conclusions produced are more often than not inaccurate but always full of confidence. The result is complete guesswork on root causes, fake-minimal repros, suggested implementation […]

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I’m training an AI to drive Indianapolis 500 in DOSBox using reinforcement learning

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Hey everyone, I’ve been working on a reinforcement learning project for the old DOS game **Indianapolis 500**, running through DOSBox. The goal is to train an AI driver that can learn to leave the pit area, stay on track, complete laps, recover from mistakes, and eventually race faster than my own human driving. Video here: Indianapolis 500 Game – AI training The setup uses a mix of: – **Pixel input** from the DOSBox window – **Keyboard control** for […]

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Mad House — Usborne Creepy Computer Games

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Tool: Mad House — Usborne Creepy Computer Games Via Hacker News I learned that UK publisher Usborne published free PDFs of their 1980s Computer Books, some of which I remember working through on my Commodore 64 as a child. These were so great! Beautifully illustrated books with fun projects made up of code you could type into your own machine. I remember playing “Mad House” typed in from the 1983 book “Creepy Computer Games”, so I fed that […]

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Roadmap for learning RL for robot control beyond just using existing frameworks?

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Hi everyone, I’m looking for advice on how to properly learn Reinforcement Learning for robot control, not just at the “using a framework” level. A bit of background: I have some basic academic knowledge in robotics and RL. Recently, I used MJLab to successfully train both locomotion and imitation/mimic motion policies for an existing robot model. The results worked, but honestly, most of the hard work was already implemented by MJLab: environment setup, reward structure, PPO training pipeline, […]

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The Silicon Protocol: Why Your $200K Healthcare AI Actually Costs $2.3M in Production (2026)

The Silicon Protocol: Why Your $200K Healthcare AI Actually Costs $2.3M in Production (2026)

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The CFO approved $200K for clinical AI. Twelve months later, the real invoice arrived: $2.3M. The vendor didn’t lie. They just quoted the AI. Nobody quoted the compliance. Healthcare AI vendor quotes $200K. Production deployment with HIPAA compliance costs $2.3M. The 11 line items vendors don’t show in demos: de-identification, audit logging, EHR integration, security, penetration testing, risk assessment, legal review, staff training, DPIA, monitoring, incident response. Sources: Deloitte 2025, Azilen 2026, Emorphis Health 2026. Healthcare AI vendors quote […]

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Prompt Release Workflow: How to Ship LLM Prompt Changes Without Breaking Production

Prompt Release Workflow: How to Ship LLM Prompt Changes Without Breaking Production

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Prompt Release Workflow A one-line prompt edit can look harmless in review and still change the behavior of an entire AI product. It can make a support bot over-answer, make a coding assistant ignore constraints, make a classifier drift toward a new label, or make a JSON-producing workflow quietly break downstream parsing. That is why prompt changes need a release workflow, not just a clever prompt engineer. In 2026, serious LLM teams are learning an uncomfortable lesson: prompts are […]

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Build an AI Contract Intelligence System: OCR + Hybrid RAG + LangGraph to Extract Key Terms…

Build an AI Contract Intelligence System: OCR + Hybrid RAG + LangGraph to Extract Key Terms…

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Build an AI Contract Intelligence System: OCR + Hybrid RAG + LangGraph to Extract Key Terms Automatically A step-by-step guide to automating contract review with PaddleOCR, FAISS, BM25, and GPT-4o inside a LangGraph pipeline Contract Intelligence (Image by Alpha Iterations) Non-members read here for free. Complete Code Repo of the project can be found here. Don’t forget to star the repo! Introduction Contracts are everywhere, including vendor agreements, service orders, and government tenders. Manually reviewing them for critical fields like […]

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