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  • 🤖 Amazon's secret AI model 'Olympus'

🤖 Amazon's secret AI model 'Olympus'

PLUS: Alibaba's new model outperforms OpenAI's o1?

Hola, AI fam 🤖

In today’s WakeTheAI edition:

  • Amazon’s secret AI model: Olympus

  • Alibaba’s new model outperforms OpenAI’s o1?

  • Prompt: Analyse Consumer Adoption Rate

  • ByteDance sues ex-intern for $1.1 Million

  • ElevenLabs introduces ‘GenFM’, competing with NotebookLM

  • Linkup offers an API to connect LLMs with news websites (legally)

  • Bluesky’s open API allows unrestricted data scraping without explicit consent

Lazy Bits: Amazon is reportedly developing "Olympus," a generative AI model capable of processing text, images, and videos, aiming to enhance AWS offerings and reduce reliance on external AI providers.

In-Depth Details:

  • Advanced Multimodal Processing: Olympus is designed to understand and process scenes in images and videos, enabling users to search for specific scenes—like a winning basketball shot—using simple text prompts.

  • Strategic Independence: By developing Olympus, Amazon aims to lessen its dependence on third-party AI solutions, such as Anthropic's Claude chatbot, which is popular on Amazon Web Services (AWS).

  • Upcoming Announcement: Amazon plans to announce Olympus at the AWS re:Invent customer conference, highlighting its potential as a cornerstone of the AWS AI toolkit.

Lazy Conclusion: Olympus represents a significant advancement in Amazon's AI capabilities, promising enhanced processing of text & images, but most importantly video analysis. Its integration into AWS could reshape AI services for enterprises, setting new standards for innovation and reducing reliance on external AI vendors.

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Lazy Bits: Alibaba released QwQ-32B-Preview, a 32.5-billion-parameter reasoning AI model designed to rival OpenAI's o1. It’s openly available under an Apache 2.0 license and outperforms o1-preview on key benchmarks like AIME and MATH.

In-Depth Details:

  • Advanced Reasoning Capabilities: QwQ-32B-Preview solves logic puzzles, complex math problems, and self-checks its outputs, reducing errors but requiring more processing time.

  • Performance Benchmarks: The model surpasses OpenAI’s o1-preview on AIME and MATH tests, showcasing its strength in problem-solving and analytical reasoning.

  • Extended Context Window: It processes prompts up to ~32,000 words, making it ideal for handling context-heavy, multi-layered tasks.

  • Cultural and Regulatory Adaptation: The model adheres to Chinese regulations, avoiding sensitive topics and aligning with “core socialist values.”

  • Semi-Open Accessibility:
    Licensed under Apache 2.0, parts of the model are downloadable and runnable on Hugging Face, but full replication isn’t possible.

Lazy Conclusion: Alibaba’s QwQ-32B-Preview challenges OpenAI with its benchmark performance, extended capabilities, and innovative reasoning techniques. Its semi-open availability and regulatory alignment position it as a key player in the AI landscape.

Analyse Consumer Adoption Rate

You can ask ChatGPT to analyze the consumer adoption rate of subscription-based services in any industry.

ChatGPT will provide a detailed explanation, gather relevant data, and use it to create a graph for visual representation.

This approach offers clear insights and helps you understand trends and patterns effectively.

Prompt:

Prompt 1: Analyze the consumer adoption rate of [insert sector] subscription-based services in the [insert industry]. Explain in detail and gather data to draw a graph.

Prompt 2: Draw a graph using the data you gathered.

Result:

  1. 🤖 AI-Flow: Connect multiple AI models easily

  2. ✈️ MindTrip: AI platform for travel, personalized for you

Prompt: “ChatGPT, create a meme only an AI would find funny“. Can’t say ChatGPT is wrong lol

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