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  • 🤖AI Innovations: OpenAI-Backed Unify Raises $12M, Adobe Protects Artists, and Smart Home Robots

🤖AI Innovations: OpenAI-Backed Unify Raises $12M, Adobe Protects Artists, and Smart Home Robots

Explore how OpenAI-backed Unify raised $12M for AI-powered outreach, Adobe’s new system to protect artists from AI, and Stanford’s smart home robot that learns instantly. Plus, top AI tools for finance.

Welcome, AI Enthusiasts!

Explore how OpenAI-backed Unify raised $12M for AI-powered outreach, Adobe’s new system to protect artists from AI, and Stanford’s smart home robot that learns instantly. Plus, top AI tools for finance.

In today’s power-packed edition:

  • Large Language Models are So Unreasonable

  • GenAI Acquires Hackmakers to Boost Hackathon Innovation

  • AI Research on GitHub: Datahorse Simplifies Data Visualization with Natural Language

  • OpenAI-Backed Unify Raises $12M to Boost AI-Powered Outreach

  • Adobe Proposes New System to Protect Artists from AI Copycats

  • Stanford’s Smart Home Robot Fetches and Learns Instantly

  • 🤖Optimize Finance with AI

Large Language Models are So Unreasonable!

A fireside chat with Dr. Mehdi Fatemi, Senior Researcher and Team Lead at Wand AI, on the challenges of large language models in reasoning and planning:

  • Current methods to improve LLMs' reasoning, like fine-tuning or prompt engineering, are flawed as they still rely on generative capabilities, leading to suboptimal results.

  • Reinforcement Learning (RL) can be used to improve LLMs in many ways, human feedback, steering, critics, logic, persona, planning. RL is a paradigm of sequential reasoning and decision making. 

  • LLMs can learn from feedback, adjust their responses based on rewards or penalties. This feedback loop helps LLMs to learn the logical relationships and causal connections and produce better outputs.

GenAI Acquires Hackmakers to Boost Hackathon Innovation

GenAI is excited to announce the acquisition of Hackmakers, a top platform for organizing hackathons and fostering community-driven innovation!

This strategic move propels GenAI’s mission to Learn, Discover, and Grow with AI.

🔍 What This Means

  • More Learning Resources: Access to Hackmakers' extensive hackathon materials for enhanced hands-on AI learning. 🧑‍💻

  • Expanded Network: Connect with Hackmakers’ clients and partners, including major industry leaders.

  • Community Integration: Merge Hackmakers’ vibrant community of developers and educators into GenAI.

We’re also upgrading our tech stack to provide a seamless and integrated experience for all users.

Invest in GenAI Works today and earn up to 25% in free shares if you invest by October 20, 2024.

AI Research on GitHub: Datahorse Simplifies Data Visualization with Natural Language

Datahorse, an exciting AI research project on GitHub, transforms the way users create data visualizations by leveraging natural language commands.

This open-source Python library allows users to request visualizations like scatter plots, histograms, and heatmaps using plain English.

Instead of complex coding, users can simply ask for visuals—e.g., "show me a sales trend" or "compare expenses across departments."

OpenAI-Backed Unify Raises $12M to Boost AI-Powered Outreach

Austin Hughes and Connor Heggie / Unify

Unify, a graduate of the OpenAI Converge accelerator, has secured $12 million in funding to enhance its AI-powered platform for "warm outbound messaging."

The company's technology helps businesses personalize and automate their outreach efforts, improving customer engagement and lead generation.

This new funding will allow Unify to expand its AI-driven communication solutions.

Adobe Proposes New System to Protect Artists from AI Copycats


Adobe

Adobe has proposed a new initiative to protect artists from AI-generated content that copies their work.

The company is advocating for the use of digital "content credentials" to label and verify the origin of original artwork.

This system aims to help artists prove ownership of their creations and prevent AI models from training on their work without permission.

Adobe's proposal could offer a solution to the growing concern over AI's impact on creative industries.

Stanford’s Smart Home Robot Fetches and Learns Instantly

Researchers at Stanford University and UC San Diego have introduced DoggyBot, a new home assistant robot that can fetch items, learn from its environment, and navigate your home—all without any prior training.

DoggyBot is equipped with cameras and advanced technology that lets it understand your voice commands.

Simply tell it what you need, and it will find and bring the item to you. What makes DoggyBot special is its ability to adapt to any home instantly. It doesn’t require setup for each new place; it learns as you use it.

With every interaction, DoggyBot gets smarter, making it a reliable and easy-to-use helper right from the start. This innovative robot is set to make everyday tasks simpler and enhance the way we use technology at home.

🤖Optimize Finance with AI

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Coefficient - AI-driven tool for automating financial workflows, integrating spreadsheets with real-time business data.

Petal - An AI-based credit-building and management platform designed to provide people with accessible and transparent credit options.

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Past performance is not indicative of future returns. Investing involves risk. Please read the offering circular at https://invest.genai.works/ for additional information on the company and risk factors related to the offering

In making an investment decision, investors must rely on their own examination of the issuer and the terms of the offering, including the merits and risks involved. Genai Works, Inc. has filed a Form C with the Securities and Exchange Commission in connection with its offering, a copy of which may be obtained here: bit.ly/3APlUkJ

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