🤖 OpenAI launches GPT‐5 with dual reasoning modes

Welcome back to AI Business Summary!

After a few weeks off, we’re back to bring you the most important updates about AI, and more specifically, the latest updates, prompts, quotes for AI with important and actionable business use cases…

You may notice a couple additions, as we wanted to add a prompt of the week and a new important quote of the week. We’re going to keep improving this and making sure every reader gets value out of each edition, so if there’s anything else you would like to see that could be helpful or interesting to you, please hit the reply button and let us know!

Without further ado, here’s this week’s latest and most relevant updates at the intersection of AI & business…

OpenAI just launched o3-pro, passing its 4/4 consistency test for high-stakes AI reliability ⚡ See what’s shaping business AI next.

In Today’s Issue:

📊 OpenAI launches o3-pro model for high-stakes tasks

🛠️ OpenAI introduces apps in ChatGPT and a new Apps SDK

🤝 Deloitte deploys Claude to 470,000 employees globally

💰 Salesforce commits $1 billion to Mexico AI expansion

🔌 Cisco launches P200 chip for multi-data center AI

🌍 Google AI Plus expands to 36 more countries

🔧 Apple fixes Apple Intelligence bug on iPhone 17

🔍 Google's AI Search Mode expands to 40+ new regions

⚖️ Judge allows copyright lawsuit against Anthropic to proceed

🧠 The Scoop:

📊 OpenAI launches o3-pro model for high-stakes tasks

• Outperforms o3 and o1-pro across all tested categories

• Built for reliability: passes "4/4 consistency" test

• Slower responses; better consistency across trials

• Available to Pro users, Enterprise next week

🛠️ OpenAI introduces apps in ChatGPT and a new Apps SDK

• 800+ million users can now chat with apps

• Pilot partners include Spotify, Canva, Figma, and Zillow

• Apps surface automatically when contextually relevant

• SDK preview open for developers today

🤝 Deloitte deploys Claude to 470,000 employees globally

• Anthropic's largest enterprise deployment to date

• 15,000 professionals have earned the Claude certification

• Joint compliance tools for regulated industries

• Center of Excellence launching for implementation support

💰 Salesforce commits $1 billion to Mexico AI expansion

• Five-year investment in Mexico City operations

• New Global Delivery Center for Americas support

• Expands Latin America AI adoption footprint

• Follows Microsoft’s $1.3 billion Mexico commitment

🔌 Cisco launches P200 chip for multi-data center AI

• Connects AI data centers across 1,000+ miles distances

• Replaces 92 separate chips with one solution

• Uses 65% less power than competitors

• Microsoft and Alibaba are already on board

🌍 Google AI Plus expands to 36 more countries

• Now live in 77 countries worldwide

• Higher limits for image and video generation

• 50% discount for new subscribers (limited time)

• Includes 200GB storage and NotebookLM access

🔧 Apple fixes Apple Intelligence bug on iPhone 17

• Apple restores AI features via server-side fix

• Patch applies to iPhone 15 Pro and later models

• iOS 26 users still report battery and connectivity issues

• The company is working on camera and display fixes

🔍 Google's AI Search Mode expands to 40+ new regions

• Adds 35+ new languages and 40+ new countries; now in 200+ territories.

• Users asking questions are nearly three times longer than traditional searches.

• Powered by Gemini models with stronger reasoning and multimodal understanding.

• Global rollout continues over the next week.

⚖️ Judge allows copyright lawsuit against Anthropic to proceed

• Ruling issued Oct 6, 2025, keeps music publishers’ claims alive.

• The judge found Anthropic had “actual knowledge” of user infringement.

• Case heightens legal risk for AI firms training on copyrighted data.

• Anthropic already paid $1.5B to settle a separate author lawsuit.

🌱 Bonus Thought

AI systems face a fundamental choice: guess confidently and look good on benchmarks, or admit uncertainty and appear less capable. OpenAI’s research shows why models keep choosing wrong over honest. Evaluation methods reward lucky guesses instead of measured restraint.

That same tension plays out in business. Speed vs. accuracy. Performance vs. reliability. Confidence vs. calibration. Teams that chase optics over truth risk building systems that sound smart but fail under pressure. The fix is cultural as much as technical. Scoreboards should penalize confident errors more than uncertainty. Evaluation frameworks should reward “I don’t know” when appropriate. Leaders should value reliability over the illusion of omniscience.

If you run AI products, audit your scoreboards this quarter. The smartest systems know their limits, and so should the people who build them.

📝 Business Prompt to Try

Prompt to Try

Why It Works

• Focuses ROI: demands measurable gains within a fixed 30‑day window.

• Data grounded: uses real metrics so insights tie directly to performance.

• Low lift: needs only existing ad data and a general AI tool, no new setup.

• Fast loop: delivers copy and targeting ideas you can test immediately.

💡 Quote of the Week