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Start for freeOpenAI's AGI Roadmap and New Reasoning Technology
OpenAI recently outlined their five levels of progress towards Artificial General Intelligence (AGI). These levels provide insight into the company's vision for AI development:
- Conversational language AI (current level)
- Human-level problem-solving AI
- AI agents that can take actions on our behalf
- AI capable of aiding in invention and creating novel ideas
- AI that can perform the work of an entire organization
According to OpenAI, we are currently at level one and approaching level two. This roadmap gives us a clearer picture of how the company envisions the path to AGI.
In related news, reports have emerged about a new reasoning technology being developed by OpenAI, codenamed "Strawberry." This project aims to create AI that can not only generate answers to queries but also plan ahead and navigate the internet autonomously to perform what OpenAI terms "deep research."
Some key points about the Strawberry project:
- It may be a rebranding of the previously mentioned "QAR" project
- The goal is to enable AI to perform complex, long-horizon tasks
- It's designed to conduct research by browsing the web autonomously
- OpenAI is reportedly aiming for the model to score over 90% on a math dataset benchmark
While details remain limited, Strawberry appears to align closely with OpenAI's level two AGI milestone, focusing on enhanced reasoning and problem-solving capabilities.
New AI Models and Updates
GPT-4 Turbo Mini
OpenAI has launched a new model called GPT-4 Turbo Mini, designed to compete with other companies' smaller, more efficient models. Key features include:
- Faster and smarter than the previous GPT-3.5
- Supports text and vision in the API
- 128,000 token context window for input
- 16,000 token limit for output
- Outperforms other "mini" models in various benchmarks
This new model is now available to ChatGPT users, replacing the older GPT-3.5 version.
Mistral-Nvidia Collaboration: Mistral Nemo
Nvidia and Mistral have teamed up to create Mistral Nemo, a new AI model with impressive capabilities:
- 12 billion parameter model
- 128,000 token context window
- Designed for on-device use, particularly on laptops and desktop PCs
- Suitable for environments with limited internet connectivity or strict data privacy requirements
A cloud version is available for testing, with a downloadable version promised for the near future.
Anthropic's Claude on Android
Anthropoc has released an Android version of their Claude AI assistant app, expanding access to users beyond iOS devices.
Google's AI Developments
Google has been busy with several AI-related announcements:
- Gemini now answers general questions on locked Android phones
- Introduction of Google Vids, an AI-powered video creation app integrated with Google Workspace
- YouTube Music Sound Search feature, similar to Shazam, allowing users to find songs by humming or singing
- Testing of AI-generated conversational radio on YouTube
AI in Business and Education
Andre Karpathy's Eureka Labs
Former OpenAI researcher Andre Karpathy has announced a new venture called Eureka Labs. This AI-native education company aims to create a new kind of school where:
- Subject matter experts design course materials
- AI teaching assistants support and scale the learning experience
- Students can learn in their preferred language
The goal is to make high-quality education more accessible and personalized using AI technology.
Microsoft Designer Integration
Microsoft is expanding its Designer platform, integrating it into various Microsoft apps:
- Users can now access Designer features through the Copilot sidebar in Microsoft applications
- A free mobile app is available for both iOS and Android
- New features include image restyling and enhanced editing capabilities
Amazon's AI Shopping Assistant
Amazon has introduced Rufus, an AI shopping assistant built into the Amazon app. Rufus can:
- Answer questions about shopping
- Suggest products based on user queries
- Provide information on various topics, including current events
AI and Data Privacy Concerns
Training Data Controversy
Concerns have been raised about the source of training data for various AI models:
- Companies like Apple, Nvidia, and Anthropic allegedly used YouTube video transcripts without explicit permission
- The data was part of a dataset called "the pile" used for initial AI training
- Some companies, like Apple, have clarified that their production models do not use this controversial data
Meta's Multimodal Model Restrictions in the EU
Meta has announced that it will not offer its multimodal AI models in the European Union due to regulatory uncertainties:
- The company cites concerns about complying with GDPR while training models using European customer data
- Text-based models like Llama will still be available in the EU
- The multimodal model will be released in other regions, including the UK
AI in Healthcare and Forensics
A recent study has shown that AI systems can determine sex from dental X-rays with 96% accuracy. This technology could have significant applications in forensic science, particularly in identifying skeletal remains.
The Future of AI in Sports and Entertainment
Google has been named the official AI sponsor for Team USA in the upcoming Summer Olympics. This partnership will likely result in increased visibility for Google's AI products during the event, showcasing various applications of AI technology in sports and entertainment.
Conclusion
The AI landscape continues to evolve rapidly, with new models, applications, and ethical considerations emerging regularly. As we progress through OpenAI's AGI roadmap, we can expect to see increasingly sophisticated AI systems that push the boundaries of what's possible. However, this progress also brings challenges related to data privacy, regulatory compliance, and the ethical use of AI technology.
As AI becomes more integrated into our daily lives, from education and shopping to healthcare and entertainment, it's crucial for both developers and users to stay informed about the latest developments and their potential impacts. The coming months and years promise to be an exciting time for AI innovation, with the potential to transform numerous industries and aspects of society.
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