Google and OpenAI’s New Rival, Dropbox and Amazon pushing over $100M Into AI & MidJourney’s New Feature

PLUS 5 AI Tools and bonus AI use cases

Jun 23, 2023

📰 Today’s news in the world of AI are exciting. Are Google’s and OpenAI’s LLMs in danger as a new competitor has emerged? Probably not, but let us know what you think after reading the article below.

🔧 Plus, we've added some incredible AI use cases that you should definitely check out!

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This issue covers the following:

Latest News 🌍
Featured Material 🧑‍🏫
Useful tools ⚒️
Hot Takes 🔥
Weekly Guides
AI Meme of the Week 🤡
(Bonus) Cases

Latest News 🌍

Newest rival to Google and OpenAI LLMs 🛑

Inflection unveils its Pi conversational agent, a powerful AI model designed to bring personalized AI experiences to individuals, positioning itself as a formidable competitor to Google and OpenAI's large language models.

In a bid to stay ahead in the fiercely competitive AI landscape, Amazon is unveiling a $100M program aimed at empowering customers and partners dedicated to generative AI.
MidJourney dropped the “Zoom Out” feature in their newest 5.2 version.
Group-IB uncovers a staggering number of over 100,000 compromised ChatGPT accounts on dark web marketplaces, with the Asia-Pacific region emerging as the leading target.
Dropbox introduces a $50 million venture fund with a specific focus on AI, demonstrating its commitment to fostering innovation in this cutting-edge field.
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Featured Material 🏷️

Newest rival to Google and OpenAI LLMs

Google and OpenAI are well-established and situated, but who says their dominance can’t be shaken up? What do you think?

Inflection, a well-funded AI startup, unveils its Pi conversational agent powered by Inflection-1, a large language model comparable to GPT-3.5. The company claims competitive performance and provides benchmarks showcasing its effectiveness in tasks like middle- and high school-level exams and "common sense" reasoning.

Inflection plans to release results for a larger model akin to GPT-4 and PaLM-2(L) in the future. While AI models aren't yet categorized into weight classes like in boxing, the analogy holds true—smaller models are efficient for mobile devices, while larger models require more computing power.

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