AWS Budget Alerts are useful, but they are not a real cost protection mechanism. A misconfigured Lambda, unexpected traffic spike, or forgotten resource can keep generating costs before you notice. As an AWS Partner, we provide additional cost monitoring: 1. Daily updated usage & spending tracking 2. Earlier visibility into unexpected cost increases 3. Optional resource shutdown support when spending exceeds your limit (with customer authorization) Cost control is not only about getting alerts — it’s about taking action before the bill gets out of control. #aws# #awsbill#

Vast has signed agreements with @ucsdstemcell, Auxilium Biotechnologies, @LambdaVision, and @BioOrbitSpace to collaborate on the future of microgravity research and manufacturing conducted on our Haven stations.

"Look. OpenAI intends to burn over $852 billion by the end of 2030. It accounts for $748 billion of the remaining performance obligations of Microsoft, Amazon, and Oracle, on top of at least another $70 billion of RPOs across Cerebras, CoreWeave, Nebius, IREN, Lambda, and Nscale (per Kakashii), and plans to spend indeterminate billions’-worth of Broadcom “Jalapeno” chips. It intends to spend $50 billion or more on compute this year, which I estimate is more than 50% of all global AI compute spend (with OpenAI taking up 50%+ of all AI compute infrastructure)."

My guess: if we count meaningful pure-play AI companies (labs, infra, vertical apps at $1B+ valuations), somewhere around 40–60 will IPO globally by mid-2029. Here’s the reasoning. The floodgates just opened. Cerebras opened 89% above its IPO price on May 14, and both OpenAI and Anthropic confirmed confidential S-1 filings in June 2026. Behind them, Databricks, Mistral, Cohere and xAI are tracking for 2026–2028 windows, plus Lambda and a long tail of vertical AI (legal, medical, coding). Morgan Stanley expects 10 to 15 major tech companies to go public in 2026 alone, mostly AI-related. Run that rate for three years with a growing pipeline and you get to 40+ without heroic assumptions. Two wildcards. One: the China side, the STAR Market and HKEX robotics/AI queue could add another 15–20 on its own if the window stays open. Two: whether the first mega-listings hold up. If the early ones pop, the window opens for the rest; a stumble resets pricing expectations across the entire pipeline. If OpenAI or Anthropic trades badly in year one, my number drops by half.

# Practical ways to use the Claude Agent SDK 📡 Master streaming input mode for image uploads, interrupts, and persistent context. Streaming vs Single-Message Input covers the streaming mode for persistent conversations and single-message mode for stateless environments. 📌 Title: Streaming Input 🔗 URL: 🧩 Overview Streaming input mode (recommended) supports image uploads, message queues, interrupts, and context persistence for rich interactive experiences. Single-message input is ideal for stateless environments like AWS Lambda for one-shot responses. 🛠 How to use it Streaming mode is the default. Single-message mode is explicitly selected for stateless environments like Lambda. 🏗 Practical usage - In a chat UI, upload an architecture diagram after "Analyze this codebase" for visual code review. - Inject external events (CI results, Slack notifications) via message queues to dynamically extend context. - Use single-message mode for serverless functions that run "Explain the auth flow" as a one-shot task. 💡 Use cases 🖼 Code review with image attachments 📨 Dynamic injection of external events ⚡ One-shot task execution in serverless environments ⚠️ Watch out Single-message mode doesn't support image attachments, interrupts, or multi-turn conversations. Use streaming mode when rich interaction is needed. #ClaudeAgentSDK# #AI#