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OpenAI Rolls Out GPT-4.5 to ChatGPT Plus
AND: Anthropic and OpenAI Back Independent Auditors for Frontier AI

✨TodayOnAI’s Daily Drop
Al Gore Says AI’s Biggest Risk Isn’t Data Center Emissions
Anthropic and OpenAI Back Independent Auditors for Frontier AI
Google Home Opens Smart Devices to ChatGPT, Claude, and AI Agents
💬 Let’s Fix This Prompt
🧰 Today’s AI Toolbox Pick
| 📌 The TodayOnAI Brief |
OPENAI

🚀 TodayOnAI Insight: Al Gore says the climate impact of AI data centers deserves scrutiny, but he sees warnings from AI insiders about increasingly capable models as a more serious concern. He also argues AI could become part of the climate solution by improving efficiency and reducing waste.
🔍 Key Takeaways:
Gore says data center emissions remain relatively small at a global scale, while new gas infrastructure risks locking in fossil-fuel generation for decades.
He favors powering AI infrastructure with renewables and batteries as their economics continue to improve.
Gore takes recent warnings from Anthropic’s Dario Amodei and other AI leaders seriously, particularly around potentially deceptive or difficult-to-control model behavior.
Generation Investment Management sees opportunities across greener construction materials, energy storage, grid resilience, and more efficient computing.
Gore also highlighted AI’s potential to reduce emissions through efficiency gains rather than viewing AI growth and climate progress as inherently opposed.
💡 Why This Stands Out: The AI infrastructure debate is expanding beyond electricity consumption into a larger question: whether society is focusing on the most consequential risks. Gore’s position suggests the harder challenge may be building cleaner compute while simultaneously establishing safeguards for increasingly capable AI systems.
Anthropic

🚀 TodayOnAI Insight: Anthropic CEO Dario Amodei has proposed embedding independent evaluators inside frontier AI labs, with OpenAI CEO Sam Altman also committing to the approach. The shift could give outside researchers deeper visibility into model training and safety incidents—but independence, access, and disclosure rules remain unresolved.
🔍 Key Takeaways:
Evaluators could inspect intermediate training checkpoints, logs, evaluation transcripts, and post-training environments—not just finished models.
Deeper access matters as models become increasingly capable of recognizing evaluations, potentially making conventional safety tests less informative.
Amodei proposed allowing evaluators to publish key findings without Anthropic exercising editorial control.
Previous evaluations faced tight timelines: METR and Redwood received roughly a week for one OpenAI investigation, while Apollo had three days to test GPT-6 Astra.
Researchers argue legislation and common auditing standards may be necessary to ensure evaluators operate independently rather than as restricted contractors.
💡 Why This Stands Out: Frontier AI safety may be moving from company-led testing toward something closer to independent auditing. But access alone is not accountability: the real test is whether labs give evaluators enough time, information, and freedom to publish uncomfortable findings.

🚀 TodayOnAI Insight: Google is rolling out early access to a Model Context Protocol (MCP) server for Google Home, letting compatible AI agents—including ChatGPT, Claude, Hermes, OpenClaw, and Google Antigravity—securely interact with connected devices and smart-home history. The move extends agentic AI from software workflows into everyday physical environments.
🔍 Key Takeaways:
Users can give natural-language commands to control devices, review camera summaries, monitor activity, and create custom dashboards.
Home MCP supports Nest hardware plus “Works with Google Home” and Matter-compatible devices.
Setup requires a Google Cloud project, MCP configuration, authentication, and explicit device permissions.
Early access is rolling out over the coming weeks to U.S. Google Home Premium Advanced subscribers, currently priced at $20 per month.
Google has not announced broader availability across other plans or markets.
💡 Why This Stands Out: MCP is increasingly becoming connective infrastructure for AI agents, and Google Home pushes that model beyond digital tools into physical spaces. If interoperability expands, choosing a smart-home assistant could become less about one ecosystem’s AI and more about which agent users prefer.
| 💬 Let’s Fix This Prompt |
✨ See how a simple prompt upgrade can unlock better AI output.
🔹 The Original Prompt
"Generate blog ideas for a tech company."
At first glance, this prompt might seem okay. But it's too broad — and that limits the quality of AI-generated results. Let’s improve it using prompt engineering best practices.
✅ The Improved Prompt
Generate a list of unique, engaging blog post ideas for a B2B tech company that wants to attract decision-makers in mid-sized companies. Focus on topics related to emerging technology trends, industry insights, and practical solutions their software offers. Include suggested titles and a 1–2 sentence summary for each idea.
💡 Why It's Better
Specific audience: Targets decision-makers in mid-sized companies.
Contextual focus: Emphasizes emerging tech and practical solutions.
Actionable output: Requests summaries and titles to spark execution.
Tone and style: Guides the type of content (insightful, engaging, relevant).
🛠️ Learn how to adapt this prompt for SaaS, AI tools, dev teams & more →
Read the full PromptPilot breakdown
💡 Bonus Tool: Want to generate and master prompts instantly?
👉 Try PromptPilot by TodayOnAI (Free to use)
| 🧠 Smart Picks |
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🧰 Today’s AI Toolbox Pick
⚙️Bizway (Entrepreneur Tool): Turns your brilliant ideas into clear business plans in minutes.
📱ZAPT (Apps Tool): Discovers and creates amazing ChatGPT apps.
👁Chromox (Image Design Tool): An all-in-one content creation platform that allows you to craft your content effortlessly and streamline your workflow.