bnew

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Aug 22, 3:07 PM EDT
byFrank Landymore
/ Artificial Intelligence

Getty / Futurism


Responsibly Party


Tech Companies Furious at New Law That Would Hold Them Accountable When Their AI Does Bad Stuff​



Uh oh!​


Getty / Futurism


With Great Power...​


California is on the verge of passing a bill that would enforce sweeping regulations in the AI industry, after it was approved in the state's Assembly Appropriations Committee on Thursday.

The bill, SB 1047, proposes a number of safety requirements for AI developers to prevent "severe harm," and includes provisions that could hold them accountable for the output of their AI models.

Now OpenAI, which has advocated for regulation in the past, is joining other tech companies, as well as some politicians, in decrying the bill, arguing that it would hurt innovation in the industry, Bloomberg reports.

"The AI revolution is only just beginning, and California's unique status as the global leader in AI is fueling the state's economic dynamism," Jason Kwon, chief strategy officer at OpenAI, wrote in a letter to state Senator Scott Wiener, who introduced the bill, as quoted by Bloomberg. "SB 1047 would threaten that growth, slow the pace of innovation, and lead California's world-class engineers and entrepreneurs to leave the state in search of greater opportunity elsewhere."


Playing It Safe​


In more specific terms, the bill would give the California attorney general the power to seek an injunction against tech companies that put out unsafe AI models, according to Platformer's analysis. If successfully sued, these companies could face civil penalties — though not criminal penalties.

To be compliant, businesses would need to carry out mandated safety testing for any AI models that either cost more than $100 million to develop or require more than a certain amount of computing power. AI developers would also need to build their AI models with a "kill switch" that could be used to shut them down in an emergency.

In addition to in-house testing, developers would be required to hire third-party auditors to assess their safety practices, per Reuters. The bill also provides more legal protections to whistleblowers speaking out against AI practices.


Tech Troublemakers​


As Platformer observes, the bill raises an age-old question: should the person using the tech be blamed, or the tech itself? With regards to social media, the law says that generally, websites can't be held accountable for what users post.

AI companies hope that this status quo applies to them, too. Because AI models frequently hallucinate and are easily tricked into ignoring their guardrails, the prospect of being held accountable for their chaotic outputs could be a major headache.

OpenAI and others argue that such regulatory actions are premature and could hamper development of the tech in the state. And true, it may be the case that AIs are still in their infancy and have a long way to go before they're capable enough to turn on us à la Skynet — but it'd be remiss to downplay the dangers of more mundane fears like misinformation, or their ability to carry out hacks.

As it stands, the bill awaits a vote in the state's full Assembly, and must be passed by the end of the month before it can be sent to Governor Gavin Newsom for approval.
 

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Aug 22, 3:07 PM EDT
byFrank Landymore
/ Artificial Intelligence

Getty / Futurism


Responsibly Party


Tech Companies Furious at New Law That Would Hold Them Accountable When Their AI Does Bad Stuff​



Uh oh!​


Getty / Futurism


With Great Power...​


California is on the verge of passing a bill that would enforce sweeping regulations in the AI industry, after it was approved in the state's Assembly Appropriations Committee on Thursday.

The bill, SB 1047, proposes a number of safety requirements for AI developers to prevent "severe harm," and includes provisions that could hold them accountable for the output of their AI models.

Now OpenAI, which has advocated for regulation in the past, is joining other tech companies, as well as some politicians, in decrying the bill, arguing that it would hurt innovation in the industry, Bloomberg reports.

"The AI revolution is only just beginning, and California's unique status as the global leader in AI is fueling the state's economic dynamism," Jason Kwon, chief strategy officer at OpenAI, wrote in a letter to state Senator Scott Wiener, who introduced the bill, as quoted by Bloomberg. "SB 1047 would threaten that growth, slow the pace of innovation, and lead California's world-class engineers and entrepreneurs to leave the state in search of greater opportunity elsewhere."


Playing It Safe​


In more specific terms, the bill would give the California attorney general the power to seek an injunction against tech companies that put out unsafe AI models, according to Platformer's analysis. If successfully sued, these companies could face civil penalties — though not criminal penalties.

To be compliant, businesses would need to carry out mandated safety testing for any AI models that either cost more than $100 million to develop or require more than a certain amount of computing power. AI developers would also need to build their AI models with a "kill switch" that could be used to shut them down in an emergency.

In addition to in-house testing, developers would be required to hire third-party auditors to assess their safety practices, per Reuters. The bill also provides more legal protections to whistleblowers speaking out against AI practices.


Tech Troublemakers​


As Platformer observes, the bill raises an age-old question: should the person using the tech be blamed, or the tech itself? With regards to social media, the law says that generally, websites can't be held accountable for what users post.

AI companies hope that this status quo applies to them, too. Because AI models frequently hallucinate and are easily tricked into ignoring their guardrails, the prospect of being held accountable for their chaotic outputs could be a major headache.

OpenAI and others argue that such regulatory actions are premature and could hamper development of the tech in the state. And true, it may be the case that AIs are still in their infancy and have a long way to go before they're capable enough to turn on us à la Skynet — but it'd be remiss to downplay the dangers of more mundane fears like misinformation, or their ability to carry out hacks.

As it stands, the bill awaits a vote in the state's full Assembly, and must be passed by the end of the month before it can be sent to Governor Gavin Newsom for approval.


And so they should
Control your 🤖
 

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Aider + DeepSeek-Coder-V2: Develop a Full-stack App Without Writing ANY Code /w Best Coding LLM!​



WorldofAI

65.1K subscribers
7,161 views Aug 7, 2024 #gpt4o #ai #fullstackdevelopment
In this video, we demonstrate how DeepSeek-Coder-V2, the best coding-based LLM, outcompetes giants like GPT-4o and Sonnet 3.5 in many areas. We explore how this open-source Mixture-of-Experts (MoE) model, pre-trained with an additional 6 trillion tokens, enhances coding and mathematical reasoning capabilities, supports 338 programming languages, and extends context length from 16K to 128K. 🌟
 

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AI Pioneer Shows The Power of AI AGENTS - "The Future Is Agentic"​


Matthew Berman

308K subscribers

543,902 views Mar 29, 2024
Andrew Ng, Google Brain, and Coursera founder discusses agents' power and how to use them.







What are AI Agents?​



[URL='https://www.youtube.com/@IBMTechnology']IBM Technology


829K subscribers

193,458 views Jul 15, 2024
Want to play with the technology yourself? Explore our interactive demo → https://ibm.biz/BdKsEf Learn more about the technology → https://ibm.biz/BdKsEy In this video, Maya Murad explores the evolution of AI agents and their pivotal role in revolutionizing AI systems. From monolithic models to compound AI systems, discover how AI agents integrate with databases and external tools to enhance problem-solving capabilities and adaptability.
 

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ChatGPT Queue Prompts - used for bulk prompting in ChatGPT Queue

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models (LLMs) like ChatGPT with the use of ChatGPT Queue. These prompt chains help build context for the AI before performing specific tasks. Which improves performance


What are Prompt Chains?​

Prompt chains are sequences of prompts for LLMs that help build context for the AI before having it perform a task. In this project, prompt chains are represented as strings with individual prompts separated by tildes (~). They should be copy and pastable into ChatGPT Queue bulk prompting and Job or Task focused.


For example, Heading: "Create/Build/Develop XYZ" Prompt Chain: "prompt1~prompt2~prompt3" Author: Joel @ ChatGPT Queue


Usage​

To use a prompt chain, simply copy the entire chain and paste it into the ChatGPT Queue extension. The AI will process each prompt in sequence, building context before tackling the final task.

Example Prompt Chains​

Example: Conduct AI Company Research​

This prompt chain helps research publicly traded companies benefiting from the rise of AI:


Using your web search capabilities, I want you to search the web for the latest information on publicly traded companies that are currently benefiting from the rise of AI. Include URL columns where I can learn more about each company, their competitive advantages, and any analyst ratings. Return this back in a table inline. We will research in batches of 10, when I say "More" you find 10 more. Keep the information brief and all within the inline table. Example: | Company Name | Stock Symbol | Competitive Advantages | Analyst Ratings | URL | |--------------|--------------|------------------------------------------|------------------|----------------------------------------| | Company A | ABC | Leading AI technology, strong R&D | Strong Buy | Link | | Company B | XYZ | Dominant in AI software, extensive patents| Moderate Buy | Link | Please provide the latest information available. ~More ~ More ~ More

Build SEO Optimized Blog Post​

Research and provide a list of 5 high-volume, low-competition keywords related to selling digital products. Include search volume and keyword difficulty for each~Based on the keyword research, generate a compelling blog post title that incorporates the primary keyword~Create an outline for the blog post with the following sections: Introduction, [3-5 main content sections based on secondary keywords], Conclusion~Write a meta description for the blog post, incorporating the primary keyword and staying within 150-160 characters~Write the Introduction section, including the primary keyword in the first paragraph and a clear thesis statement~Write Section 1 of the main content, incorporating relevant secondary keywords naturally~Write Section 2 of the main content, including relevant statistics or data to support your points~Write Section 3 of the main content, addressing common questions or concerns related to the topic~[If applicable] Write Sections 4 and 5 of the main content, providing additional value and incorporating remaining secondary keywords~Write the Conclusion section, summarizing key points and including a call-to-action~Create a list of 5-7 internal and external link suggestions to be incorporated throughout the post~Generate 3 options for engaging meta titles, each under 60 characters and including the primary keyword~Provide a list of image suggestions for the post, including recommended alt text for each image~Create a list of 3-5 related blog post ideas to be used for internal linking


 
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