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š¤ OpenAI Is Officially Worth $157 Billion?!
PLUS: OpenAI DevDay 2024: Four Major Announcements, Liquid AI Replaces Traditional Transformer Architecture
Welcome back AI enthusiasts!
In todayās AI Report:
š„OpenAI DevDay 2024: Four Major Announcements
š¦Liquid AI Replaces Traditional Transformer Architecture
š¤ÆOpenAI Is Officially Worth $157 Billion?!
š Trending Tools
š°Funding Frontlines
š¼Whoās Hiring?
Read Time: 3 minutes
šRECENT NEWS
OPENAI
š„OpenAI DevDay 2024: Four Major Announcements
Image Source: OpenAI Developer Forum!/OpenAI DevDay 2024/āRealtime APIā/Screenshot
At OpenAI DevDay 2024, the company made four major announcements to make AI models more accessible, efficient, and cost-effective for developers.
Key Details:
An Application Programming Interface (API) allows multiple software applications to share data, features, and functionality back and forth rapidly.
APIs enable developers to add AI features to their applications without having to build AI algorithms from scratch.
Fine-tuning is taking a pre-trained AI model and adjusting it to fit your data better.
Hereās a concise breakdown of the four major announcements:
Realtime API: Developers can build speech-to-speech applications using the same AI model that powers ChatGPTās Advanced Voice Mode.
Vision Fine-Tuning: Developers can fine-tune GPT-4o (āoā for āomniā) with text and images to improve vision capabilities.
Prompt Caching: Prompts often contain repetitive content. OpenAI routes similar prompts to servers that already processed similar requests to reduce costs by 50%.
Distillation: Developers can leverage the outputs of a large AI model to fine-tune a smaller AI model, enabling it to achieve similar performance on a specific task.
š©ŗ PULSE CHECK
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LIQUID AI
š¦Liquid AI Replaces Traditional Transformer Architecture
Image Source: Canvaās AI Image Generators/Magic Media
Liquid AI, a company building general-purpose AI systems, introduced a new series of AI models called Liquid Foundation Models (LMFs) to challenge the traditional Transformer Architecture.
Key Details:
Current AI models use Natural Language Processing (NLP) to understand, interpret, and manipulate human language.
Before the traditional Transformer Architecture, NLP processed text sequentially (i.e., āword-by-wordā), which failed to capture contextual relationships between words.
The traditional Transformer Architecture enabled NLP to weigh the importance of different words relative to each other in a sentence.
LMFs are general-purpose AI models built on large Neural Networks (NNs) deeply rooted in numerical linear algebra rather than the traditional Transformer Architecture.
LMFs surpass AI models that use traditional Transformer Architectures, such as Metaās Llama 3.2 and Microsoftās Phi-3.5, on the Massive Multitask Language Understanding (MMLU) benchmark, which covers 16,000 questions from 57 academic disciplines.
Why Itās Important:
LMFs achieve State-Of-The-Art (SOTA) performance at every scale while maintaining a smaller memory footprint with a more efficient AI inference (i.e., using AI models to analyze data and make predictions).
The traditional Transformer Architecture has dominated the AI industry since 2017. Liquid AI is challenging the status quo by proposing a new framework that relies on less computing power.
OPENAI
š¤ÆOpenAI Is Officially Worth $157 Billion?!
OpenAI officially raised $6.6 billion from investors, valuing the company at $157 billion. The investors include Thrive Capital, Khosla Ventures, SoftBank, Microsoft, and Nvidia.
Thrive Capital, an investment firm that builds and invests in internet, software, and technology-enabled companies, led the round with a $1 billion commitment.
OpenAI will restructure into a For-Profit Benefit Corporation (āB Corp.ā) that will no longer be controlled by a non-profit Board of Directors (BofD).
OpenAI reportedly asked the investors to avoid supporting rivals like Ilya Sutskeverās Safe Superintelligence Inc. (SSI Inc.) and Elon Muskās xAI.
Sutskever was OpenAIās Chief Scientist and Superalignment Team Co-Leader until 2023. Musk was one of OpenAIās Co-Founders who initially pledged $1 billion to the ānon-profit research initiative.ā
OpenAI anticipates a significant revenue increase of $11.6 billion by 2025 through raising ChatGPT Plus prices. The company generated over $300 million in revenue last month, up 1,700% since the beginning of last year.
This historic funding round underscores the hype in Silicon Valley surrounding AI. The AI revolution is accelerating, and OpenAI appears to be at the forefront!
š TRENDING TOOLS
šPhind is an answer engine for developers.
šAndi is a privacy-first, friendly search assistant.
šQreates generates high-quality product photos.
šHelicone logs, monitors, and debugs AI models.
šNeolocus offers AI rendering services for interior designers.
š®Browse our always Up-To-Date AI Tools Database.
š°FUNDING FRONTLINES
š¼WHOāS HIRING?
SeatGeek (New York City, NY): Data Analyst Intern, Summer 2025
WorldCoin (San Francisco, CA): Software Engineering Intern, Summer 2025
Splunk (Boulder, CO): Software Engineering Intern, Backend/Full-Stack, Summer 2025
NVIDIA (Santa Clara, CA): High-Performance Large Language Model {LLM} Training Engineer, New College Grad 2024
IBM (San Jose, CA): Entry Level Back End Developer, New College Grad 2025
š¤PROMPT OF THE DAY
PRICING STRATEGY
šDevelop a Pricing Strategy
Develop a pricing strategy for [Small Business] with [Product/Service] in [Industry] with [Target Audience].
Conduct a Cost of Goods analysis, factor in Additional Overhead expenses, and measure Customer Demand.
Outline common pricing strategies, such as Cost-Plus Pricing, Value-Based Pricing, and Dynamic Pricing.
Small Business = [Insert Here]
Product/Service = [Insert Here]
Industry = [Insert Here]
Target Audience = [Insert Here]
šFINAL NOTE
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