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AI regulation hearing: Top takeaways 🔥
Current & future AI challenges, list of proposed regulations & Sam's opinions
Hi folks!👋🏻 This is The Prompt! Yesterday we got to witness Sam Altman’s testimony in front of Congress.
The intro remarks were written by GPT-4 - That’s all you need to know! 😆
Jokes aside, the hearing was 3 hours long, but we compiled a summary for you.
Let's get it👇🏻
FEATURED
AI regulation hearing: Top takeaways 🔥
Current challenges with AI models:
Not transparent (current GPT-4 model’s architecture is undisclosed for example)
AI competition between big corporations is advancing AI, but to the detriment of data security and privacy
Bias, hallucinations, and disinformation
Future challenges with AI models:
Loss of jobs
Invasion of privacy on a scale we have never seen
Manipulations of personal behaviors/opinions
Effect on elections
Sam Altman's opening statement was all about being open to discussing the right measures with Congress on how to develop safe AI models.
Here is what else he shared:
AI should be regulated and done by independent experts
He also thinks that regulation should be applied to big companies like OpenAI/Google, but open-sourced companies to be left unregulated for innovation
There will be a significant impact on jobs, but he believes that we as people are creative and can think of new things to do
GPT4 is a tool, not a creature, so it will do tasks for you, not your job
AI Machines and tools will help us live better lives
Nervous about AI + election, and is open to working with the government to mitigate those risks fast
At scale, OpenAI can detect malicious tweets generated by GPT-4
Generated images should have watermarks
Audits, red teaming, and reviews are important before any models are deployed, but he doesn’t think that there should be a pause in AI development
We need to decide to “whose values” are we going to align these models
What types of regulations were mentioned:
Disclosure of data used to train these models
Disclosure of the model and how it performs
An agency that licenses any AI model that goes beyond any specific capabilities, and has the power to take that licenses away (similar to how the FDA regulates new drug release)
A definition of safety standards before deployment
Independent audits from experts to check if the models are in compliance with the standards
Regulation on how AI can be connected to use other tools (ordering equipment, shopping, accessing people’s data, etc)
Hope this summary was useful!
WHAT ELSE IS GOING ON
🦙 OpenAI is planning to release an open-source language model. The model will likely be significantly smaller than GPT-3.5/4. Scalability is key, as language models that could be run offline or on your mobile don’t need billion parameters.
👀 Stability AI’s open letter for Open Models to Congress. They want Congress to promote openness in AI, because that way every worker in the US will have access to powerful models, innovation will grow, and AI models will be safer through transparency.
🏋🏻♀️ Anthropic partners with Zoom. Zoom plans to build customer-facing AI products and will use Anthropic’s AI assistant Claude to do that. I thought that they would integrate this for meeting transcription/insights, but the first thing they’re AIgmenting is their contact center support.
RESOURCES
The best resources we came across lately that will help you become better at writing prompts & building AI apps.
📚 A guidance language for controlling LLMs [ GitHub repo ]
👋🏻 Simple, plain English explanation for AI [ a must-read if you want to understand the backbone of every AI model and how it works ]
🎥 What are Transformers (the tech behind every AI model today) [ a must read for everyone]
TOOLBOX
The latest AI tools to use or get inspiration from.
PROMPT OF THE DAY
TOOL
Midjourney
PROMPT
Hyper-realistic. A tiny lion in the palm of a hand, Closeup shot with a Canon EOS 5D, magical realism photography, natural lighting, soft focus background, enchanting and whimsical mood. --ar 3:2
RESULT
What'd you think of today's edition? |