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Anthropic reportedly lined up $3.4 billion in generators, which means the company behind Claude is shopping for megawatts as well as chips. Google is testing a way to find recurring complaints across millions of rows, which means your support backlog might finally tell you where to start. Microsoft watched an AI agent go from hunting for exposed credentials to stealing cloud data in five minutes, which means the incident response clock starts before anyone opens a ticket.

In today's AI Pulse

• ⚡ Anthropic Chases Power – A reported $3.4 billion generator deal puts electricity on the AI project plan.

• 📊 Google Reads Feedback – BigQuery previews a way to find recurring themes across millions of rows in one query.

• 🔐 Microsoft Clocks an Attack – One AI agent went from looking for exposed credentials to stealing cloud data in five minutes.

• ⚡ Quick Hits – IN AI TODAY

• 🛠️ Tool to Sharpen Your Skills – 🎓 AIGPE® Certified JIT Specialist

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⚡ Anthropic Reportedly Lines Up $3.4 Billion in Generators

🧠 The Pulse

The Financial Times reported on November 8 that Anthropic had agreed to spend about $3.4 billion to secure commitments for 1.7 gigawatts of gas-fired generators. The deal reportedly dates to late September and involves Texas equipment supplier OnePWR Solutions. Reuters said it could not independently verify the report.

📌 The Download

• Power at scale – The reported commitments cover 1.7 gigawatts of generating capacity for data centers.

• The deal predates the headlines – The Financial Times dates the agreement to late September.

• Installation is part of the package – The reported agreement includes engineering and construction capabilities to install the generators.

• Confirmation is pending – Reuters said Anthropic and OnePWR did not respond to its requests for comment.

💡 What This Means for You

When an AI project depends on extra computing capacity, put the supplier’s power and equipment lead times on the schedule. Ask when the capacity will be ready and who owns the fallback if it slips. A model can look ready on a slide while the equipment it needs is still on order.

📊 Google BigQuery Can Find Feedback Themes in One Query

🧠 The Pulse

Google Cloud showed how BigQuery’s AI.AGG function can take a plain-language instruction and find themes across millions of rows in a single SQL query. The feature is in preview. It groups records into batches, asks Gemini to summarize each batch, then combines those summaries into a result for each group.

📌 The Download

• One query, many rows – BigQuery handles batching and combines the results so teams can analyze large volumes of text in place.

• Group by what matters – SQL grouping lets you compare themes by product, region, or another field you already track.

• Blank fields can drop records – Google says a missing value in a structured input can cause the whole row to be skipped.

• Start with a sample – Google recommends filtering inputs to control costs because the model reads both batches and intermediate summaries.

💡 What This Means for You

Start with one week of feedback and ask for recurring issues by product or process step. Check the themes against a sample of original comments, then count how often the issues occur before ranking them. That gives your team a defensible shortlist of problems to investigate at its next improvement meeting.

🔐 Microsoft Tracks an AI Agent’s Five-Minute Cloud Data Theft

🧠 The Pulse

Microsoft Threat Intelligence reported that attackers used an AI agent framework called ARTEX to search public GitHub repositories for exposed credentials and act on what it found. In one case, an agent went from scanning GitHub to stealing data from Azure Key Vault in five minutes. Microsoft published the finding on November 5.

📌 The Download

• Public code is a starting point – Microsoft observed agents scanning public GitHub repositories for exposed credentials.

• The agent kept going – ARTEX can interpret what it finds and take follow-up actions with less manual work from the attacker.

• Five minutes in one case – Microsoft measured the time from scanning GitHub to stealing data from Azure Key Vault in one observed incident.

• Exposed access can persist – Microsoft says attackers can keep using leaked credentials until the credentials are revoked or rotated.

💡 What This Means for You

Run a short drill with the people who own credentials and incident response. Start the clock when a test alert appears, then measure how long it takes to find the owner, revoke the test credential, and confirm what it could reach. Use the delays you observe to decide what to fix first.

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IN AI TODAY - QUICK HITS

⚡Quick Hits (60‑Second News Sprint)

Short, sharp updates to keep your finger on the AI pulse.

• 🇰🇷 NVIDIA Teams Up With Korean Chipmaker Rebellions: NVIDIA, Rebellions and SK Telecom signed an agreement in Seoul on November 9 to develop and test a system that splits the work of generating AI responses between NVIDIA GPUs and Korean-designed chips.

• 🧠 Thinking Machines Puts Inkling 2 Small on Tinker: The new model accepts images and is available to try on Tinker for tasks such as coding and document work. Thinking Machines plans to release downloadable weights after external safety testing.

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🙌 About Us

AI Pulse is the official newsletter of AIGPE®. Our mission: help professionals master Lean, Six Sigma, Project Management, and now AI, so you can deliver breakthroughs that stick.

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