AI's Future: Regulation, Innovation, and Environmental Impact

Hello curious Rabbits! 🎩

Here’s today’s summary:

🚀 AI Governance Must Evolve Now
🧠 IBM's AI-Powered Mainframe Revolution
🌐 AI Risks Self-Cannibalization
🔄 Transfusion: Meta's Breakthrough Model
🌍️ AI's Environmental Double-Edged Sword
🐦 Hottest Tweets
🧰 How To Build an AI Salesman

Reading time: 4 minutes

🗞️ Hottest News

1. 🚀 AI Governance Must Evolve Now

The US government is racing to keep up with AI advancements, proposing new bills to improve oversight and safety. Swift action is crucial to balance innovation with responsible AI development.

Source 🔎

2. 🧠 IBM's AI-Powered Mainframe Revolution

IBM's Telum II Processor and Spyre AI accelerator cards enhance AI capabilities in mainframes, promising efficient LLM processing without external servers. This innovation revitalizes the IBM Z mainframe for modern AI workloads.

Source 🔎

3. 🌐 AI Risks Self-Cannibalization

AI's reliance on web data risks creating a "model collapse" as it ingests its own outputs, degrading quality and diversity. AI companies must invest in high-quality data and human input to mitigate these effects.

Source 🔎

4. 🔄 Transfusion: Meta's Breakthrough Model

Meta, Waymo, and USC introduce Transfusion, a model integrating language and diffusion processes for superior multi-modal performance. This breakthrough simplifies architecture and boosts efficiency in text-to-image and image-to-text tasks.

Source 🔎

5. 🌍️ AI's Environmental Double-Edged Sword

AI's energy consumption is rising, but its potential to innovate and reduce emissions in various sectors is significant. Balancing AI's energy demands with its benefits is essential for sustainable tech advancement.

Source 🔎

🐦 Hottest AI Twitter Posts

Transform Your SQL Data with LLM Magic: How MindsDB's Latest Integration Brings AI and Databases Together Seamlessly

Running GPT-4o-Level Llama 3.1 405b in the Air: How I Turned My Flight into an AI Playground

🧰 AI How-To

How To Build an AI Salesman

1. Create an Account:

   • Sign up on WPPi using your Google account. Choose a blank template for a voice bot and give it a name.

2. Set Up the Bot:

   • Enter the Prompt: Use AI tools like Gravvy to generate a prompt describing your business and its services. Copy this prompt into WPPi.

   • Configure the Voice: Go to the "Transcriber" tab and select “Nova 2 phone call.” Adjust the voice settings to "deep gram" and choose a voice that suits a salesperson tone.

   • Add Background Sound: Set background sound to “office” for a realistic touch.

   • Set End Call Phrase: Paste the end call phrase from Gravvy into WPPi and click “Publish.”

3. Test the Bot:

   • Use the demo feature in WPPi to check how the AI salesperson interacts with leads.

4. Get a Phone Number:

   • Acquire a virtual phone number from Twilio. Copy the number, and input the Account SID and Auth Token into WPPi.

5. Add a Contact Form:

   • Create a form on Fill Out Forms with fields for phone number. Publish and embed the form on your website.

6. Set Up Automation:

   • Create an Account on Make.com: Sign up and connect it with Fill Out Forms.

   • Upload Blueprint: Import the provided blueprint to generate automation.

   • Integrate AI Salesperson: Add the AI salesperson and phone number to the automation, inputting necessary IDs and API keys.

   • Test Automation: Ensure the system calls leads automatically by running a test scenario.

7. Monitor and Optimize:

   • Review call logs and transcripts to refine the AI’s performance and improve lead interactions.

🐇 And that's a wrap on this edition of The Rabbit Hole

If you would like to reach out to our team, respond this email or send us a DM at twitter @WhiteRabbit_xyz, or email to [email protected]

Until next time, keep your ears up for the latest AI news!