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Microsoft has made WSL Containers generally available. We look at how dedicated sessions, VHDs, and a separate network model set it apart from regular WSL, how it connects to MDE and Intune, and where gaps remain, including missing Compose support and inconsistent preview labels.
OpenAI has reopened new sign-ups for the $200-per-month ChatGPT Pro plan with a smaller usage allowance. Eligible existing subscribers keep the old allowance until October 29. We compare official API pricing for Sol and Luna to see how the price cuts relate to real workloads.
OpenAI has added full-screen UI, conversation panels, file editing and MCP Events to ChatGPT plugins. We break down what they can do and where the limits lie across four layers: shared standards, ChatGPT-specific extensions, event subscriptions, and distribution and permissions.
We compare OpenAI's GPT-6.1 Sol with the previous Sol, Astra, and Claude, using tables and charts to show performance and per-task cost by setting, plus a cache-write pricing estimate.
OpenAI has announced dots, an always-on agent that works on its own cloud computer. Here is a look at eligible plans and usage limits, which actions need approval, the permission mix-ups that remained in OpenAI's published evaluation, and Meta's business-focused Muse expansion.
Reuters reports on Anthropic's IPO prospectus, separating the roughly $42 billion net loss from the $518 billion in future payment obligations, while an Akamai contract disclosure reveals the terms, cancellation clauses, and expansion options behind such long-term deals.
The Wall Street Journal reports OpenAI halted the release of GPT-6.1 Astra. Primary-source data on the current Astra model reveals how average safety improvements and serious scope violations can coexist.
Instinct, an AI agent still in early access, has raised $1 billion. We examine the transaction volume, compute resources, and delegated authority behind its $10 billion valuation.
BlueQubit reports generating 1 million samples in 19 seconds using 61 qubits on IBM's Nighthawk r2. We examine the roughly 110-year classical-computing estimate and how the output quality was verified, based on the preprint paper.
A draft on the UK government's AI Knowledge Hub advises staff to skip thank-you-only messages, choose the smallest model that can do the job, and keep prompts short. Set against existing policy, it also shows how hard the savings are to measure.
