Move over, AGI, it is time for Artificial Super Intelligence!

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Date: 8-Mar-2025

Hey AI enthusiast,

Welcome to the latest edition of the One More Thing in AI newsletter.

Learn how Reflection AI, started by scientists from Google and OpenAI, is making super-smart computers that can do work all by themselves.

Discover MCP—short for Model Context Protocol—which helps AI tools easily talk to apps like Gmail and Google Drive.

Get ready to explore the amazing future of artificial intelligence!

Best,

Renjit

Igniting Innovation: A Teen’s Spark for Forest Fire safety

Imagine a project that began as a school assignment and now shows a glimpse into the future of fire safety. A Stanford teen (Ryan Honary of Newport beach), has built a network of sensors that could change how we detect fires.

• 📡 The teen designed multiple sensors that work together.
• The network offers a quicker, more accurate way to spot fires.
• 🔥 His system checks many spots at once instead of just one point.
• Local fire departments are watching this project closely and testing is underway before widespread implementation.

The journey began when the teen noticed delays in the old fire alarm systems. He asked, “Why not make something better?” This simple question turned into a well-thought-out project that mixes AI tech with real-world safety needs (especially important for tackling California forest fires where Ryan comes from). His AI-powered sensor network is called SensorRy AI.

Finally, a feel good story from the world of AI!

Reflection AI: Move over, AGI, it is time for Artificial Super Intelligence!

Reflection AI has officially entered the scene with a bold vision: to develop superintelligent, autonomous systems that will redefine the way we approach knowledge work.

Founded by Misha Laskin and Ioannis—both former researchers at Google and OpenAI—the company is leveraging their deep expertise from landmark projects like AlphaGo, MuZero, and Gemini. They have done some amazing work previously - see the image below:

Key Highlights

Ambitious Vision:

Reflection AI aims to create AI systems that excel at autonomous coding and eventually perform all knowledge work independently—a crucial step toward achieving general super intelligence. It seems that no one is interested in AGI, anymore!

Founders’ Expertise:

Misha Laskin and Ioannis bring invaluable insights from their previous work on cutting-edge reinforcement learning and large language models.

Strong Financial Backing:

With a successful funding round of $130 million, Reflection AI is supported by prominent investors, including Sequoia and other leading venture capital firms, fueling its ambitious goals.

Looking Ahead

Reflection AI’s journey is just beginning. The broader mission is to handle the full spectrum of knowledge work. This startup promises to reshape industries and inspire a new era of super-intelligent models. You know who else is in this game? Open AI!

A word from our data partner: Yadget

The name Yadget stands for ‘Yet another Data Generator'’ Cheeky, right?

You can produce realistic, non-identifiable datasets to help you test and validate your products. Ideal for software developers for data testing and validation processes. Among the data that can be generated are financial Data like Bank Account Numbers, Credit Card numbers and Crypto information such as BTC and ETH addresses.

Why Yadget?
1. Generate synthetic data without the high cost of real-world data.

2. Faster than traditional methods of collecting and processing real-world data.

3. Flexible: Yadget provides tailor-made data to meet your specific needs.

Give Yadget a try, and let us know what you think. Check out Yadget here: Link.

Conversational Video: Bringing AI to Life

Imagine talking to an AI that feels as real as a person. Tavus has built a platform where video conversations with AI are natural and engaging.

• 📡 The platform uses a Conversational Video Interface that blends vision, speech, and emotion.
• It is built on a cognitive architecture modeled after the human brain.
• 🎥 The system features hyper-realistic avatars that display full facial expressions.
• These avatars capture muscle movement, micro-expressions, and natural lip sync.

Anecdotally, imagine an AI that pauses and responds just like a human, understanding subtle cues like tone and presence. This kind of interaction makes the experience both intuitive and effective.

• 🛠️ The platform offers an end-to-end solution with plug-and-play APIs.
• It supports over 30 languages, making it easy to scale across markets.
• 🌍 The design is API-first, letting developers build and test quickly.

For startup founders and business leaders, this technology offers another way to connect with customers and enhance digital experiences (at a lower cost).

Model Context Protocol: Making AI Connect Easily

MCP, which stands for Model Context Protocol, is a new method that helps different AI programs talk to apps like Gmail, Google Drive, and weather apps without a lot of extra work. Anthropic announced this protocol last Nov, but it has generated buzz only recently.

Prior to MCP, every time an AI tool wanted to connect with an external app, a special code had to be written just for that connection.

With MCP, developers only need to create one simple connection for each AI tool. At the same time, each external app only needs to set up its MCP system once. Once that’s done, any AI tool that uses MCP can easily link up with it. This helps prevent redundant code and allows fine control of external APIs.

This new standard saves time for developers and makes it easier to build smart AI systems.

At the moment, MCP works on local computers and the idea is to extend it to the cloud, which makes it a very flexible tool.

If you are a solopreneur, then you can learn more at this link». Time to create smarter, more helpful AI systems for everyone.