Things Just Got SERIOUS! GPT-7 , AGI, Surprising AI Layoffs, $100 BILLION AI Model, Google New AI...
TLDRThis week in AI saw major developments, with OpenAI partnering with US builders to test GPT earnings, potentially revolutionizing the monetization of custom GPTs. Additionally, HAEN's new Avatar in Motion 1.0 showcased AI-generated videos raising ethical concerns. MIT introduced a faster image generation method, and Data Bricks produced a state-of-the-art open LLM. Amazon's $2.75 billion investment in Anthropic highlights the escalating competition in AI. Meanwhile, concerns arose about AI replacing jobs and the potential societal impact, emphasizing the need for proactive management of AI technologies.
Takeaways
- 🚀 OpenAI announced a partnership with US builders to test GPT earnings based on usage, aiming to create a vibrant ecosystem rewarding creativity and impact.
- 🤖 Custom GPT creators like Nick Doos, known for Grimmel, are among the early testers of this monetization approach, potentially leading to a wider adoption of GPT applications.
- 🎥 HAEN's new Avatar in Motion 1.0 showcases AI's ability to flawlessly track, translate, and lip sync videos, raising questions about the ethical use of such technology.
- 🌐 The discourse around AI-generated content highlights the need for policies that may restrict its use in certain locations due to concerns over authenticity and potential misuse.
- 📈 MIT researchers introduced a new image generation method, distribution matching distillation, which produces high-quality images 30 times faster than previous methods.
- 🏆 Data Bricks' new open LLM surpasses both LLAMa 2 and Grock 1, becoming the fastest and best-performing open-source model.
- 💡 The debate on AI sentience continues, with experts like Trenton Brickton arguing that models like Claude demonstrate reasoning abilities beyond mere pattern recognition.
- 🧠 Discussions on the potential for AGI by GPT7 highlight the ongoing exploration of how compute efficiency and parameter scaling could lead to more advanced AI systems.
- 🏢 A survey reveals that almost half of all managers aim to replace workers with AI by 2024 due to lower wages, indicating a significant shift in the workforce landscape.
- 🎭 Actress Sarah Poisner was replaced by an AI for a BBC production, underscoring the immediate impact of AI on creative and voice acting industries.
- 💔 A report suggests an AI apocalypse could take away almost 8 million jobs in the UK, with women, younger workers, and lower-paid employees at the highest risk.
Q & A
What is the main goal of OpenAI's partnership with US builders for GPT earnings?
-The main goal of OpenAI's partnership is to create a vibrant ecosystem where builders are rewarded for their creativity and impact, and to collaboratively define the approach to GPT monetization.
What is GPT and how can one earn from it?
-GPT, or Generative Pre-trained Transformer, is an AI model used for various tasks, including chatbots. Individuals can earn from custom GPTs they build and share with the community, as OpenAI is testing a usage-based earning system for these custom models.
Who is Nick Doos and what is his contribution to the GPT ecosystem?
-Nick Doos is the creator of Grimmel, one of the most popular custom GPTs that is particularly good at coding. He is among the top creators who are likely to be part of the pilot program for GPT earnings based on usage.
What is HAEN's new Avatar in Motion 1.0, and how does it work?
-HAEN's Avatar in Motion 1.0 is a technology that can track, translate, and lip sync video with any input text, creating AI-generated videos where the subject can speak in different languages and make gestures, making it appear as if they are naturally speaking the content.
What ethical concerns are raised by the AI-generated videos like those produced by HAEN?
-The ethical concerns include the potential misuse of the technology for creating deepfakes, replacing human actors without consent, and the broader implications of AI technology replacing human jobs and creating realistic but manipulated content.
What is the significance of the MIT researchers' new image generation method called 'distribution matching distillation'?
-The new method generates images 30 times faster than previous methods while maintaining the same or higher quality, indicating a significant advancement in AI image generation capabilities.
What is Data Bricks' new state-of-the-art open LLM, and why is it notable?
-Data Bricks has produced a new open LLM that surpasses both Meta's LLaMA 2 and Grock 1 in performance, making it the fastest and best-performing open-source model available.
What is the debate around the sentience of AI models like Claude?
-The debate centers on whether AI models are truly sentient or if they are just repeating patterns from their training data. Some argue that the models show evidence of reasoning and generalization, while others believe they are not sentient but rather sophisticated pattern predictors.
What is the discussion on the potential of AI model generations to reach AGI (Artificial General Intelligence)?
-The discussion revolves around whether a 100x increase in effective compute between model generations could lead to AGI. There are differing opinions on whether the exponential growth in compute and model capabilities will eventually lead to AI that matches or surpasses human intelligence.
What are the concerns about AI replacing human jobs, and what is the survey's finding on this issue?
-The concerns are that AI advancements may lead to significant job displacement, with a survey revealing that 41% of managers hope to replace workers with cheaper AI tools by 2024 due to lower wages.
What is Google's Object Drop, and how does it work?
-Google's Object Drop is a technology that allows users to remove or insert objects into images in a way that maintains consistency in lighting, shadows, and overall image quality. It uses advanced AI to composite the images seamlessly.
Outlines
🤖 OpenAI's Partnership and GPT Earnings
The first paragraph discusses OpenAI's recent announcement about their partnership with a select group of United States builders to test usage-based GPT earnings. The goal is to create an ecosystem where builders are rewarded for their creativity and impact. Custom GPTs built and shared by the community, such as the popular 'grimmel' created by Nick Doos, will be monetized based on usage. The initiative aims to refine the approach to monetizing GPTs, focusing on rewarding the dedication of builders. The program is currently limited to top creators, and feedback is being sought to define the monetization approach effectively.
🎥 AI-Generated Content and Ethical Concerns
The second paragraph delves into the advancements in AI-generated content, highlighting the capabilities of platforms like Haen's Avatar in Motion 1.0, which can translate and lip-sync video input text. The discussion also touches on the ethical implications and potential misuse of such technology, including the creation of deepfake videos involving celebrities. The paragraph raises concerns about the potential for AI to replace human jobs and the need for regulations to prevent malicious use of AI-generated content.
🚀 Rapid AI Progress and its Implications
The third paragraph focuses on the rapid advancements in AI across various domains, including image generation and language models. It mentions the introduction of a new image generation method by MIT that is 30 times faster than previous methods while maintaining quality. The paragraph also discusses the potential for future AI models to generate a large number of images quickly and the implications of such advancements. Additionally, it highlights the release of a new state-of-the-art open LLM by Databricks that surpasses other models in performance.
🤔 The Sentience Debate and AI's Future
This paragraph explores the ongoing debate about the sentience of AI, specifically focusing on the AI model named Claude. It presents arguments from both sides, with some arguing that AI is merely regurgitating training data and others, like Trenton Brickton from Anthropic, suggesting that AI exhibits genuine reasoning abilities. The paragraph also touches on research that supports the idea of AI models improving at reasoning and language when trained on code, and the potential for AI to develop a deeper understanding of motives and intentions.
🌐 AI's Impact on Employment and Society
The fourth paragraph discusses the potential negative impacts of AI on employment, citing a survey that reveals almost half of all managers aim to replace workers with AI due to lower wages. It also mentions the replacement of a TV star's voice by an AI-generated voice, emphasizing the sobering reality of AI's capability to replace human jobs in various industries. The paragraph calls for society to manage the new technology well to prevent a job apocalypse and ensure a balanced future with AI.
💡 Innovations in AI and their Applications
The fifth paragraph highlights several innovative AI developments, including Google's Object Drop technology, which allows for the insertion of real objects into images with impressive consistency in lighting and shadows. It also discusses Amazon's significant investment of $2.75 billion in Anthropic, a company that recently dethroned GPT-4 with their model Claude. The paragraph emphasizes the importance of creating consumer products that leverage AI technology effectively and the potential for AI to offer emotional intelligence, as demonstrated by the world's first voice AI with emotional intelligence, Hume.
🗣️ The Future of Emotionally Intelligent AI
The final paragraph introduces Hume, the world's first voice AI with emotional intelligence. Hume is capable of understanding the tone of a user's voice and generating responses that align with the emotional context. The technology uses a combination of expression measurement, text-to-speech, and a multimodal LLM to craft empathetic responses. The potential applications of such technology include personal AI assistants and robots that can proactively improve daily life by understanding and responding to human emotions.
Mindmap
Keywords
💡Artificial Intelligence (AI)
💡GPT (Generative Pre-trained Transformer)
💡Monetization
💡AI-generated content
💡Deepfake
💡Ethical concerns
💡Open-source model
💡Sentience
💡AGI (Artificial General Intelligence)
💡AI apocalypse
💡Voice AI with emotional intelligence
Highlights
OpenAI announced a partnership with a select group of US builders to test usage-based GPT earnings, aiming to create an ecosystem that rewards creativity and impact.
Custom GPTs built and shared by the community can now have the potential to generate earnings based on their usage.
Nick Doos, creator of the popular custom GPT Grimmel, is among the top creators who will be participating in the pilot program to test GPT earnings.
The initiative focuses on refining the approach to monetizing GPTs, with an emphasis on rewarding the dedication and creativity of builders.
HAEN's new Avatar in Motion 1.0 allows users to generate AI-synthesized videos with lifelike gestures, voice tones, and lip-syncing.
There is an ongoing debate about the ethical implications of AI-generated videos, with concerns about their potential for misuse and the impact on employment.
AI-generated content, like the HAEN videos, raises questions about the authenticity of media and the need for regulations to prevent malicious use.
Researchers at MIT introduced a new image generation method called distribution matching distillation, which produces high-quality images 30 times faster than previous methods.
Data Bricks released a new state-of-the-art open LLM that surpasses both LLaMA 2 and GPT 4 in performance.
The debate on whether AI models like Claude are sentient rages on, with some arguing that they exhibit genuine reasoning and generalization beyond their training data.
A discussion on the potential for AI models to reach AGI (Artificial General Intelligence) by GPT-7, considering the exponential growth in compute and parameter size.
A survey reveals that almost half of all managers aim to replace workers with AI by 2024 due to lower wages, indicating a potential job crisis.
Actress Sarah Pois is replaced by an AI for a BBC production, highlighting the immediate impact of AI on the entertainment and voice acting industry.
A report suggests that an AI apocalypse could take away almost 8 million jobs in the UK, with women, younger workers, and lower-paid employees at the highest risk.
Google introduces Object Drop, a technology that allows users to insert real objects into images with consistent lighting and shadows, showcasing advanced image composite capabilities.
Amazon invests $2.75 billion in Anthropic, the company behind the open-source LLM that recently surpassed GPT-4, marking Amazon's largest venture investment to date.
Hume introduces the world's first voice AI with emotional intelligence, capable of understanding and responding to human emotions through voice and language.
The rapid advancements in AI technology across various fields indicate a future where personal AI assistants and robots may become integral to daily life, proactively improving human experiences.