Thursday’s AI Report
• 1. 🏛️ New “Sandbox” law for AI innovation?
• 2. 📈 Create McKinsey-grade decks with Xavier AI
• 3. 🌍 How AI cut energy costs and emissions for Dollar Tree
• 4. 🔏 Protect your online information with Incogni
• 5. 💡 Partner Perspectives
• 6. ⚙️ Trending AI tools
• 7. ☁️ OpenAI and Oracle in historic cloud deal
• 8. 🤖 Mira Murati tackles AI randomness
• 9. 📑 Recommended resources
Read Time: 5 minutes
❓Thursday’s Partner Perspective: With Google’s new image generation model, Nano Banana, setting a new standard for image generation, is AI finally becoming a true creative partner rather than just a tool? Scroll down to find out what Agentic Brain’s UI/UX developer, Joe Jepsen, thinks ⬇️
✅ Refer your friends and unlock rewards. Scroll to the bottom to find out more!
New “Sandbox” law for AI innovation?
🚨 Our Report
US Senate Commerce Chair, Ted Cruz, has proposed a new AI bill that, if passed by Congress, would require federal governments to build "regulation sandbox environments,” which are safe and secure testing areas, that would allow companies to experiment with new AI products, with minimal federal oversight. Cruz’s proposal comes after his own state of Texas passed a similar AI sandbox law back in June.
🔓 Key Points
If passed, the law would enable companies to identify “obstructive regulations” that would slow the testing or deployment of new AI-powered products/services and ask for regulation modifications or waivers.
Federal agencies would be able to issue waivers for two-year-periods, for a maximum of 10 years, and in return for the waiver, companies would be required to provide plans to mitigate any potential safety risks.
If the federal agency rejects a waiver request, companies can appeal to the White House Office of Science and Technology Policy (OSTP), which will oversee the program and have the ability to override the decision.
🔐 Relevance
Cruz’s proposed legislation comes as many lawmakers (including Cruz) are growing increasingly concerned that too much regulation around AI will stifle growth and innovation, causing them to fall behind the likes of China in AI progress. He believes this bill will be essential for driving innovation and maintaining the USA’s leadership in AI, as it will “cut through bureaucratic red tape, and empower American AI developers.” However, many consumer advocacy and technology accountability groups fear that the bill will only favor major tech companies, like OpenAI, Meta, and Google, calling it a “sweetheart deal for Big Tech CEOs,” as it will mean one set of rules for them and another for smaller start-ups.
Do you support Cruz’s proposed AI sandbox bill?
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Nano Banana Review
By Joe Jepsen · UI/UX Developer at Agentic Brain
The AI Report Partner Perspectives Column
“Nano Banana is the most revolutionary image generation model I’ve seen.”
Google Gemini’s new Nano Banana model is redefining AI image generation with unmatched ease, speed, and precision. It excels at pixel-level editing without disrupting the rest of the image. Its consistency, style transfer, and integration make it equally powerful for designers and developers.
How AI cut energy costs and emissions for Dollar Tree
US retail chain, Dollar Tree, had a goal to reduce greenhouse gas emissions by 50% across its 16,000 stores by 2032.
Each store had Heating, Ventilation, and Air Conditioning (HVAC) units to control temperature and air quality—but this resulted in high energy costs.
They deployed an AI-powered HVAC optimization solution that leveraged weather forecasts and Building Management System (BMS) data.
As a result, HVAC systems could auto-optimize for energy use, saving $1,028,159 in energy costs and 632 metric tons of emissions per store.
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OpenAI has reportedly agreed to purchase $300B worth of compute power, over the next five years (starting in 2027), from Oracle, marking one of the biggest, most valuable cloud contracts ever signed.
This will undoubtedly help solve OpenAI’s ongoing compute shortage, but if reports are true, the start-up will not make a return until 2029, leaving many wondering how it can afford $60B a year, for the next five years?
Many feel this will exacerbate the potential AI bubble. Despite this, when the news broke, Oracle shares rose by 35%, putting its Chairman, Larry Ellison, in contention to steal Elon Musk’s “world’s wealthiest-person” title.
Ex-OpenAI CTO, Mira Murati’s secretive start-up, Thinking Machines Lab (which recently raised $2B, with a valuation of $12B), has announced a new project which will aim to create “AI models with reproducible responses.”
Basically, the project’s objective is to understand what causes “randomness” in AI model responses. For instance, if you ask ChatGPT the same question multiple times, you’re likely to get different answers.
Murati’s researchers believe that the AI models’ unreliability is caused by how AI chips are “stitched together,” which is a fixable issue, meaning AI models will be able to deliver more reliable responses.
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