Tooling3d ago
X discussion: an indie developer compiles an NPU into Qwen3.5-4B weights and runs Karpathy's stories260K, an LLM inside an LLM
A widely discussed experiment on X: on Oct 31 indie developer div (@divagr1925) showed QwenPU, which compiles a 32-bit RISC-V CPU plus a vector unit directly into the weights of Qwen3.5-4B and runs Andrej Karpathy's 260K-parameter stories260K inside the model's own forward passes, matching a reference implementation token for token. None of the added weights are trained; a compiler computes them all. The post drew about 1,540 likes, 163 reposts and 85K views and became an X trending story. It is a personal, self-described work-in-progress project: the checkpoint is 26.7 GB and one story token takes about 16 seconds on an L4. This is a write-up of the discussion, not an official announcement from any company.
Tooling63d ago
Factory fine-tunes open Qwen on Fireworks, catching ~20% more secrets than GPT-5.5
Fireworks spotlighted Factory's Droid Shield as a Training API customer story. Factory's droids write and commit code faster than human reviewers can keep up, so secret detection has to catch real leaks without flooding the team with false alarms. Using the Fireworks Training API, Factory fine-tuned an open Qwen model that caught almost 20 percent more real secrets than GPT-5.5, at lower cost and latency. The result is a specialized scanner sitting in the commit path rather than a generic frontier chat model asked to grep for keys. For coding-agent vendors, it is a concrete example that a domain-fine-tuned open-weight model can beat a larger closed model on a verifiable production task, then ship at a cost that matches high-frequency agent traffic. It also shows why training and inference on one platform matters: the specialized weights have to stay cheap enough to run on every commit.
Release3d ago
Apple Intelligence is coming to China: iOS 27.3 developer beta starts Nov 4, public release in December, with Alibaba Qwen inside Siri, Writing Tools and Visual Intelligence
In a press release on its China newsroom, Apple said the first Apple Intelligence features will open for testing in the latest iOS developer beta starting November 4 and reach users in China with the iOS 27.3 release in December. The features run on Apple-built generative models and include Live Translation, Writing Tools, Visual Intelligence, Clean Up, Genmoji, notification and Mail summaries, and Type to Siri; Apple also partnered with Alibaba to bring Qwen into Siri, Writing Tools and Visual Intelligence. The first wave covers iPhone 15 Pro and newer only; Siri AI and the other next-generation features announced at WWDC 2026, plus Image Playground, are not included, and Mac, iPad and other platforms wait on further approvals.
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