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High-performance Rust-based code editor
Rust-powered editor achieving sub-50ms latency, open source core with optional AI features. Attracts performance-focused devs for collaborative editing and GPU-accelerated rendering. Emerging as lightweight alternative to VS Code.
NVIDIA released Nemotron 3.5 Super VL on October 15, 2026, an open 120-billion-parameter multimodal model aimed at specialized always-on agents, alongside two smaller Bolt models for edge and local hardware. Super VL and Nemotron 3.5 Bolt 74B-A9B 24GB are available now, with Nemotron 3.5 Bolt E4B 4GB scheduled for October 23, 2026. The releases expand a Nemotron family that NVIDIA organizes by deployment tier.
Rivian is planning to integrate AI agents into its electric vehicles, with more details expected at the company's upcoming 'AI & Autonomy Day' event in December. The move signals Rivian's push to differentiate its EVs through advanced software and AI capabilities, potentially offering features like voice assistants, autonomous driving enhancements, and personalized in-car experiences. This comes as automakers increasingly compete on software and AI, with Tesla already offering advanced driver assistance and other brands like Mercedes-Benz integrating AI assistants. Rivian's event will likely reveal how these agents will function, what they can do, and when they'll be available to customers.
Microsoft and Nvidia hosted a launch event in San Francisco last week for the first wave of RTX Spark laptops, showcasing a new generation of AI PCs. A day later, Nvidia held a separate briefing to detail the RTX Spark computing platform, which powers these machines. The laptops are designed to run AI workloads locally, with Windows optimized to take advantage of Nvidia's hardware. This marks a significant push to bring AI capabilities directly to consumer devices, reducing reliance on cloud services.
Save all of the products you’re browsing in one place. | Image: Google Google's intelligent AI shopping cart is finally here, and just in time to tempt users into Black Friday and seasonal holiday spending. The Universal Cart tool Google previewed at its I/O event in May is now rolling out in the US across the Gemini app and Google Search, with the aim of making it easier to stay organized and save money when…
Amazon-owned Bee has launched its first new AI devices since its acquisition, including an updated wearable and a credit-card-sized recorder that attaches to smartphones. The devices can summarize conversations, create to-do lists, and integrate with Alexa and Amazon shopping, with prices starting at $74.99.
Amazon acquired the always-listening AI wearable startup Bee last year and is now launching two new devices plus a subscription service. The $74.99 Bee Frontier is an updated version of the original $50 Bee, which summarized every conversation you had. The new devices can now help you buy stuff, integrating directly with Amazon's e-commerce platform. This marks Amazon's first major push into ambient AI wearables since the acquisition.
Canonical released Ubuntu 26.10, codenamed 'Stonking Stingray', the latest interim version of its popular Linux distribution. The release includes a new kernel optimized for AI workloads, with improved GPU acceleration and support for the latest NVIDIA and AMD hardware. It also ships with updated AI/ML libraries like PyTorch 2.5 and TensorFlow 2.18, making it easier for developers to run AI models out of the box. This positions Ubuntu as a go-to OS for AI development, challenging other Linux distros and cloud images.
Google's Gemma 3 1B model is now running at 114 tokens per second on a standard laptop CPU, according to a demo published at knl.co.in. The 1-billion-parameter model achieves this throughput without any GPU acceleration, relying purely on CPU inference. That speed is roughly 5-10x faster than typical local LLM performance on similar hardware, making real-time text generation feasible on everyday machines. The demo highlights how aggressive quantization and optimized runtimes are closing the gap between datacenter and edge AI.
Modal, a New York-based AI infrastructure startup, has reached $1 billion in annual recurring revenue and raised a $16 billion Series D round, making it NYC's newest AI infrastructure decacorn. The company's usage grew 3x in five months and 15x in one year, with its valuation tripling over the same five-month period. Modal provides serverless cloud computing for AI workloads, focusing on sandboxes that let developers run code in isolated environments. This rapid growth signals surging demand for specialized AI infrastructure that simplifies deployment and scaling.
A developer built a tool that renders HuggingFace's top AI models as interactive 3D visualizations of their weight tensors. The project, hosted at franciscocarloserra.github.io, lets you explore the internal structure of popular models like Llama and Mistral. By mapping millions of parameters into 3D space, it turns opaque neural networks into something you can rotate and inspect. This could help researchers spot patterns like layer redundancy or quantization artifacts at a glance. It's an early-stage experiment, but it points to a future where model debugging is visual, not just numerical.