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- 🌊 China’s AI is Floating in the Ocean
Read time: 5 minutes
Claude’s gunning for Bloomberg, and Google’s AI just stopped a cyberattack in the wild. Oh, and China is literally putting AI data centers in the ocean. Scary-fast!
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AI INSIGHTS
Just when financial analysts thought their toolset couldn’t get any more crowded, Anthropic dropped Claude for Financial Services - a serious shot at the aging Bloomberg Terminal.
What makes it different?
Claude pulls together external market data (S&P, FactSet, Morningstar) and internal firm data (Databricks, Snowflake)
Claude Code helps you run custom financial models or simulations without gluing scripts together at 2AM.
No need to Frankenstein your APIs. Claude ships with MCP connectors that work out of the box.
Upgraded token + query limits let analysts crunch full 10-K filings or M&A docs without hitting token walls.
Claude’s no slouch on benchmarks:
Finance Agent Benchmark: 44.5% accuracy on real analyst tasks. (That’s neck-and-neck with OpenAI’s best; most other models scored under 30%.)
Enterprise Impact:
Bridgewater: +20% productivity
Norway’s sovereign fund: Saved 213K hours
AIG: Underwriting review time cut by 5x
These aren't simple “What's Apple's stock price?” questions – we're talking multi-step SEC filing analysis that would make a first-year analyst sweat.
Why It Matters: Besides, Perplexity’s quietly become a powerful alt-tool for analysts, with offerings that feel more like a Bloomberg killer for everyone else. CEO Brian Armstrong even calls it a “10x unlock” for AI-finance integration.
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56% of workers say scheduling a meeting is the only way to get information. With Jira, use AI to automatically add work from Slack, create subtasks, or attach relevant resources. So instead of scheduling a meeting, check the status in Jira. Easy.
TODAY IN AI
AI HIGHLIGHTS
💀 A new report found that 75% companies in the S&P 500 list AI as a risk, covering everything from ethical concerns, operational disruptions, regulatory scrutiny, security.
🖥️ Anthropic’s Thariq Shihipar thinks Claude Code is the best place to build a general agent to automate your work tasks and daily routines. Here’s the exact setup he uses.
🎉 Runway released a new AI motion capture model that can track a subject’s face, hands, even body to quickly transport them into any scene. Watch it in action here.
⚠ Another ChatGPT outage started early July 16, affecting users globally about login loops, blank screens, and lost sessions. Here’s what OpenAI said about this meltdown.
📱 Google’s new business-calling agent will dial up local shops, ask about availability and pricing, and report back to you without you making a call. Good for Gen Zers!?
🌊 China is putting AI data centers in the ocean to cool them naturally using water. The first phase includes 198 servers with $223M, enough to train GPT-3.5 in a day.
💰 AI Daily Fundraising: AWS is investing another $100 million into its Gen AI Innovation Center to help more businesses build real AI agents, after already supporting thousands of companies worldwide.
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AI QUICK HITS
🖼️ Here’s a hidden Veo trick to drop real-life objects into your AI scenes
📉 Scale AI did lay off 14% of its staff, largely in data-labeling business
⚠️ OpenAI & Anthropic researchers decry ‘reckless’ safety culture at xAI
🧠 Amazon’s AI agent takes on complex tasks for you to do creative work
🎯 Meta reportedly scores two more high-profile OpenAI researchers
AI CHART
2025 was supposed to be the year of AI agents. But instead of just automating repetitive tasks, we’re now seeing AI make real-world discoveries and catch threats in real time, hinting that we may have skipped a stage in the evolution of intelligent systems.
Key Examples of What Just Happened:
Google’s Big Sleep Caught a Live Cyberattack: An AI agent developed by Google spotted and stopped a software exploit before it was used in the wild.
→ Google claims this is the first real-world AI intercept of an active cybersecurity threat.
A Self-Driving Chemistry Lab Is Now Live: North Carolina State University launched an AI-powered lab that runs its own chemical experiments.
It collects 10x more data than human researchers
Could cut material discovery time from years to days
According to METR, AI is now doubling the length and complexity of tasks it can handle every ~4.5 months across 9 benchmarks. AI is getting better at:
Robotics
Self-driving
Mathematics
Scientific reasoning
Just 6 months ago, task-handling capacity doubled every 7 months. Now? It’s accelerating even faster. Are we entering post-agentic AI?
→ In labs, in software, and in cybersecurity, “research years” might collapse into “AI weeks.”
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The AI Fire Team
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