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Users have to trust a handful of firms to be instilling appropriate values in their AI models. We investigated 25 frontier AI models’ responses to a big opinion survey. Register for free to explore our findings

QVAC SDK 0.14.0 is live. This release makes the on-device stack faster on mobile, ships the developer-agent path, and takes local text-to-speech to 31 languages. Main highlights: - OpenCode and OpenClaw. The first official OpenCode plugin, plus a maintained OpenClaw compatibility path, both built on managed mode and qvac serve. Point a coding agent at a local model with far less setup and far fewer surprises. - Brain-computer interface transcription, on the SDK. Take recorded neural signal data and decode it into text, fully on-device, no cloud. Stream it in chunks through a simple API. In 0.14 it runs GPU-accelerated on iOS. - Text to Speech in 31 languages with our Supertonic3 upgrade. VOICE AND SPEECH - Supertonic3 multilingual TTS, 5 languages to 31. - Chatterbox and Supertonic now run on the Android GPU, with lower memory use (especially on iOS), quantized s3gen Chatterbox support, and a fix for Chatterbox occasionally emitting random speech. - Whisper transcription now runs on the iOS GPU. Parakeet runs on the Android GPU, with steadier real-time streaming. VISION AND OCR - VLM multi-tile batching: high-resolution Pan and Scan images are encoded in one pass instead of tile by tile, for faster vision throughput. - OCR on ggml (EasyOCR and DocTR) reaches full speed parity with the onnx path, across Metal, OpenCL, and Vulkan. PLATFORM AND RELIABILITY - Dynamic compute backends on Linux: one build picks the right backend at runtime, and opens the door to ROCm and CUDA support without per-backend builds. - Thinking tokens are kept out of the model context, so reasoning no longer fills the KV cache. SDK 0.14.0 is now leaner and faster to start. Let’s build.

A self-evolving agent + a 428B model + 3 Macs = ? Your own AI lab. We ran @MiniMax_AI M3 locally with @tryParallax, right on our desk. Then @GA_agent_ai took over to create a 5-stock portfolio and write it to disk. No cloud. No API bills. Nothing left the machine. Wild to see a ~3K-line agent drive all this with a 400B+ model on local hardware. Thanks to the GenericAgent and MiniMax teams for making local AI feel real.

🔊 Businesses may spend $680 billion on software and models next year. In this Viewsroom podcast, @Breakingviews columnists discuss whether AI giants will benefit from new pricing or whether costs will push clients to seek cheaper options

🔊 Elon Musk became the first trillionaire by defying business wisdom, upending financial standards and embracing far-right politics. On The Big View podcast Peter Thal Larsen asks Quinn Slobodian whether Musk is a one-off or a model of the future

I took the new AA-Briefcase scores from @ArtificialAnlys (basically having the AI do multi-week consulting gigs with a lot of complexity) and graphed the frontier curve for open and closed models: 1) Surprise, rapid gains! 2) The open weights gap is clear

The best thing I’ve gained from Social Mining isn’t the rewards. It’s the portfolio. Every article, every research thread, every campaign I complete becomes another proof of what I can contribute. That’s what makes this model interesting. Instead of treating creators as temporary participants, it gives them a chance to build a visible track record over time. The latest upgrade announced by @TheDAOLabs seems to move even further in that direction. If tracking contributions, engagement, and rewards becomes more seamless, creators can spend less time managing tasks and more time creating meaningful work. To me, that’s where Social Mining creates the most value. Not by paying people to post. But by helping people build a reputation through consistent contributions. The reward is important. The credibility you build along the way is even more valuable. Looking forward to seeing how this upgrade improves the experience for creators across DAOVERSE. What matters more to you in Social Mining: short-term rewards or long-term reputation? #SocialMining#