Skip to content
Tech News
clear
Topics: Today This Week This Month This Year

Bambu Lab loses $27.6M patent verdict to Stratasys over X1, P1, A1 printers

A Texas jury ruled that Bambu Lab's X1, P1, and A1 printer lines infringe two Stratasys patents covering prime tower purging and bed-leveling force-sensor methods, ordering Bambu Lab to pay $27.6 million in damages. No injunction was issued against the affected machines, all part of Bambu's first-generation lineup. Bambu Lab's newer H2 and X2 series use dual-nozzle and optical-sensor designs that reportedly sidestep the disputed patents.

1996 Guide Details At-Home Nursing Care for Sick and Elderly Pet Rats

The Rat and Mouse Gazette published detailed guidance for owners caring for severely ill or aging rats, covering isolation from cage mates, warmth, bedding, and hygiene. It recommends moving very sick rats to a separate aquarium with soft bedding like old T-shirts, using a wrapped heating pad for warmth, and gently wiping down rats too weak to groom themselves.

Emacs Bedrock hits 2.0, now requires Emacs 31

The minimal Emacs starter-kit Bedrock has reached version 2.0, dropping support for the older Emacs 29 branch and requiring Emacs 31, released in August 2026. The update auto-installs any use-package declarations, swaps which-key for embark-auto-prefix-help-mode when embark is present, removes wgrep in favor of a built-in alternative, and adds lexical-binding declarations across its files.

OpenAI's GPT-6 Astra launch stumbles, Altman apologizes to paying users

OpenAI rolled out its new GPT-6 Astra model first to enterprise customers with access to its Daybreak cybersecurity platform, delaying access for Plus and Pro subscribers who expected earlier availability. CEO Sam Altman acknowledged the rollout was 'messy' and apologized, while an OpenAI engineering lead offered subscription credits to affected users for each day access was delayed.

Google prototypes Material Expressive redesign for Digital Wellbeing dashboard and timers

Android Authority found new code in a Digital Wellbeing beta build (version 1.47.964183037) showing Google testing a redesigned interface with a Material Expressive look. The changes include a reworked app activity dashboard, multi-app selection for setting shared daily timers, and a restructured Bedtime mode that removes collapsible sections and reorders elements like Bedtime routine and Weekly average.

Anthropic releases blueprint for building Claude-based commerce agents

Anthropic has launched a developer blueprint that provides pre-built harnesses, patterns and guardrails for creating AI shopping and merchant agents using Claude. The kit includes reference implementations for retail, travel, telecom and ticketing use cases, plus a Claude Code plugin, and deploys across Claude API, Amazon Bedrock, Microsoft Foundry and Google Cloud Vertex AI. Partners such as Accenture, Mastercard and Visa are collaborating to help merchants adopt the framework ahead of the holiday shopping season.

Retailers Cut Prices on Mattresses Ahead of Labor Day, Including WIRED-Tested Picks

Multiple mattress brands are running Labor Day promotions, with discounts extending to models that WIRED's reviewers have personally tested and recommended. One standout deal uses a checkout code to lower the price on what testers call the best all-around mattress from their evaluations, which features individually wrapped springs and six cushioning layers. Additional deals cover bedding accessories like sheets, pillows, and blankets, with more offers expected to be added as the holiday approaches.

Anthropic defines 'agent,' 'harness,' and 'model' as distinct layers of AI systems

Anthropic published a terminology guide clarifying that an 'agent system' is not the same as a 'model.' It breaks the stack into three parts: the model (like Sonnet or Opus), the inference service that runs it (like AWS Bedrock or Anthropic's API), and the harness, the interface layer such as Claude Desktop or Claude CLI that manages tools and context.

Advice column urges teens to master LLM fundamentals from first principles

An opinion piece argues that a 17-year-old today should focus on building large language models from scratch rather than just using them, in order to understand their capabilities and limits. The author notes LLMs excel at tasks like writing essays but fail at physical, real-world tasks like cleaning a room, and suggests pursuing college and graduate study aimed at closing that gap. The piece frames this as a path toward developing new architectures beyond current LLMs for physical-world learning.

Today's top topics: openai anthropic apple android authority sam altman beats 360 xbox activision meta muse ai safety
View all today's topics →