The AI-ronman 🚀

🌌 Ahoy, curious minds, and binary explorers! The AI carnival is back in town, and oh boy, do we have some algorithmic fireworks in store for you! 🎩🔥 As our virtual minds collide in this newsletter, remember, the only limit is the edge of your imagination. Stay techy, stay savvy! 🤓

Today’s Headlines:

1. AI Art not covered by copyright protection, Judge decides

2. Big Advertisers experimenting with AI: Nestle and Unilever lead the way

3. UK invests in AI Future: $130M allocated for computing power

4. Microsoft & Databricks: A strategic move against OpenAI's dominance

5. ElevenLabs & ScienceCast: A partnership for accessible scientific content

6. Allen Institute’s Dolma debuts with 3 trillion tokens for AI training

7. Google’s AVIS: Advanced System for Visual Information Seeking

• AI Art not covered by copyright protection, Judge decides ⚖️ 
  
  In a landmark ruling, a federal judge sided with the U.S. Copyright Office, asserting that AI-generated art is ineligible for copyright protection. Stephen Thaler, CEO of Imagination Engines, failed to have his AI system, the Creativity Machine recognized as the creator of the artwork. This decision emphasizes human authorship and could reshape copyright rules in various creative sectors, including Hollywood.
  

  
  

• Big Advertisers experimenting with AI: Nestle and Unilever lead the way 🏭
  
  Embracing generative AI tools like ChatGPT 4.0, giants like Nestle and Unilever are reshaping advertising. Nestle is exploring the use of ChatGPT 4.0 and DALL-E 2 to enhance its marketing efforts, according to Aude Gandon, its Global Chief Marketing Officer. The AI engine generates ideas aligned with brand strategy, which are then refined by the creative team for content production. Unilever also employs generative AI for product descriptions. By aligning AI with human creativity, they are trailblazing a new path, although concerns about biases and intellectual property remain.

• UK invests in AI Future: $130M allocated for computing power 💻
  
  The UK government has set aside $130 million (£100 million) to purchase AI chips from leading manufacturers like NVIDIA, Intel, and AMD. Intending to create an AI Research Resource by 2024, this move aims to tackle the global computing power shortage. Though ambitious, funding may fall short, reflecting the broader struggle to deploy AI due to resource constraints. 💷 

  
  
  
  

• Microsoft & Databricks: A strategic move against OpenAI's dominance 🤝
  
  Microsoft's forthcoming collaboration with Databricks, a data analytics platform, may pose a challenge to OpenAI. The new capability permits Databricks users to train any AI model, including open-source LLMs, on Azure with their own data. This has the potential to curtail the necessity for companies to secure licenses for OpenAI models for analogous purposes. 🎯
  
  
  

• ElevenLabs & ScienceCast: A partnership for accessible scientific content 🗣️
  
  In an innovative collaboration, ElevenLabs and ScienceCast are creating concise video summaries of scientific papers from arXiv. Utilizing ElevenLabs' voiceover technology, the partnership offers 3 to 5-minute "elevator pitches" that make complex research accessible to busy researchers and the visually impaired, reflecting AI's growing role in promoting open science.
  
  
  
  

• Allen Institute’s Dolma debuts with 3 trillion tokens for AI training 💽
  
  The Allen Institute introduces Dolma, an unprecedented open-source dataset comprising 3 trillion tokens for AI language models. Striving for a balance between transparency, size, and risk mitigation, Dolma sets new standards by promoting accessibility while preventing misuse. The vision includes expanding to additional data sources and languages.

• Google’s AVIS: Advanced System for Visual Information Seeking 🕵️‍♂️
  
  Google’s AVIS demonstrates a groundbreaking approach to image search by integrating large language models, computer vision, and web search. AVIS’s components include a planner for action decisions, a working memory, and a reasoner for processing output. It adapts actions based on real-time feedback and utilizes computer vision, web search, and image search tools. With promising accuracy rates, the team is eyeing broader applications and experimentation with lighter models. 📸

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🚀 And there you have it, a glimpse into the AI abyss where possibilities are as endless as lines of code. 🌌 Until our next tête-à-tête, keep tinkering with tech, embracing the unknown, and crafting your algorithms of awesomeness. Stay binary, stay brilliant! 🌟

Ciao for now! 🙋‍♂️💼

(Author: Poonam 🤓)

Karan 😎 🚀 

CEO, GlazeGPT.com

[email protected]