Musk had initially sued OpenAI in March 2024, alleging breach of contracts, unfair business practices, and failure in fiduciary duty. He claimed that his contributions to the company were made “in exchange for and in reliance on promises that those assets were irrevocably dedicated to building AI for public benefit, with only safety as a countervailing concern.”

The lawsuit sought remedies for “breach of contract, promissory estoppel, breach of fiduciary duty, unfair business practices, and accounting,” as well as specific performance, restitution, and damages.

However, Musk’s filings to withdraw the case provided no explanation for abandoning the lawsuit. OpenAI had previously called Musk’s claims “incoherent” and that his inability to produce a contract made his breach claims difficult to prove, stating that documents provided by Musk “contradict his allegations as to the alleged terms of the agreement.”

The withdrawal of the lawsuit comes at a time when Musk is strongly opposing Apple’s plans to integrate ChatGPT into its operating systems.

During Apple’s keynote event announcing Apple Intelligence for iOS 18, iPadOS 18, and macOS Sequoia, Musk threatened to ban Apple devices from his companies, calling the integration “an unacceptable security violation.”

Despite assurances from Apple and OpenAI that user data would only be shared with explicit consent and that interactions would be secure, Musk questioned Apple’s ability to ensure data security, stating, “Apple has no clue what’s actually going on once they hand your data over to OpenAI. They’re selling you down the river.”

Since bringing the lawsuit against OpenAI, Musk has also created his own AI company, xAI, and secured over $6 billion in funding for his plans to advance the Grok chatbot on his social network, X.

While Musk’s reasoning for dropping the OpenAI lawsuit remains unclear, his actions suggest a potential shift in focus towards advancing his own AI endeavours while continuing to vocalise his criticism of OpenAI through social media rather than the courts.

See also: DuckDuckGo releases portal giving private access to AI models

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Since the announcement of custom ‘GPTs’ two months ago, OpenAI says users have already created over three million custom assistants. Builders can now share their creations in the dedicated store.

The store features assistants focused on a wide range of topics including art, research, programming, education, lifestyle, and more. OpenAI is highlighting assistants it deems most useful, including:

• Personal trail recommendations from AllTrails
• Searching academic papers with Consensus
• Expanding coding skills via Khan Academy’s Code Tutor
• Designing presentations with Canva, book recommendations from Books
• Maths help from CK-12 Flexi

OpenAI says making an assistant is simple and requires no coding knowledge. To share one, builders currently need to make it accessible to ‘Anyone with the link’ and verify their profile.

OpenAI introduced new usage policies and brand guidelines to ensure compliance. A review system combines human and automated checking before assistants are listed. Users can also flag concerning content.  

From Q1 2024, OpenAI will pay qualifying US-based builders for user engagement with their assistants. More details on exact payment criteria will be shared closer to launch.

For enterprise users, OpenAI announced ChatGPT Team plans for teams of all sizes. These provide access to a private store section containing company-specific assistants published securely to their workspace.

ChatGPT Enterprise customers will soon get admin controls for internal sharing and selecting which external assistants can be used by employees. As with all ChatGPT Team and Enterprise content, conversations are not used to improve OpenAI’s models.

Few apps have ever achieved the adoption rate of ChatGPT. OpenAI will be hoping its new stores and revenue opportunities will build upon this momentum by incentivising builders to create assistants that provide value to consumers and enterprises alike.

(Image Credit: OpenAI)

See also: OpenAI: Copyrighted data ‘impossible’ to avoid for AI training

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with Digital Transformation Week and Cyber Security & Cloud Expo.

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OpenAI CEO Sam Altman spoke remotely at an MIT event and was quizzed about AI by computer scientist and podcaster Lex Fridman.

Altman confirmed that OpenAI is not currently developing a fifth version of its Generative Pre-trained Transformer model and is instead focusing on enhancing the capabilities of GPT-4, the latest version.

Altman was asked about the open letter that urged developers to pause training AI models larger than GPT-4 for six months. While he supported the idea of ensuring AI models are safe and aligned with human values, he believed that the letter lacked technical nuance regarding where to pause.

“An earlier version of the letter claims we are training GPT-5 right now. We are not, and won’t for some time. So in that sense, it was sort of silly,” said Altman.

“We are doing things on top of GPT-4 that I think have all sorts of safety issues that we need to address.”

GPT-4 is a significant improvement over its predecessor, GPT-3, which was released in 2020. 

GPT-3 has 175 billion parameters, making it one of the largest language models in existence. OpenAI has not confirmed GPT-4’s exact number of parameters but it’s estimated to be in the region of one trillion.

OpenAI said in a blog post that GPT-4 is “more creative and collaborative than ever before” and “can solve difficult problems with greater accuracy, thanks to its broader general knowledge and problem-solving abilities.”

In a simulated law bar exam, GPT-3.5 scored around the bottom 10 percent. GPT-4, however, passed the exam among the top 10 percent.

OpenAI is one of the leading AI research labs in the world, and its GPT models have been used for a wide range of applications, including language translation, chatbots, and content creation. However, the development of such large language models has raised concerns about their safety and ethical implications.

Altman’s comments suggest that OpenAI is aware of the concerns surrounding its GPT models and is taking steps to address them.

While GPT-5 may not be on the horizon, the continued development of GPT-4 and the creation of other models on top of it will undoubtedly raise further questions about the safety and ethical implications of such AI models.

(Photo by Victor Freitas on Unsplash)

Related: ​​Italy will lift ChatGPT ban if OpenAI fixes privacy issues

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The event is co-located with Digital Transformation Week.

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Alternatively, you may have been tickled by some of the more esoteric examples of people using the tool. One user, for example, got it to write an instruction guide for removing peanut butter sandwiches from a VCR in the style of the King James Bible. Another asked it to write a song in the style of Nick Cave; the singer was less than enthused about the results.

But amidst all that hype and discussion, there hasn’t been nearly enough attention paid to the risks and rewards that AI tools like ChatGPT present in the cybersecurity arena. 

Understanding ChatGPT 

In order to get a clearer idea of what those risks and rewards look like, it’s important to get a better understanding of what ChatGPT is and what it’s capable of. 

ChatGPT (now in its latest version, ChatGPT-4, released on March 14th, 2023) is part of a larger family of AI tools developed by the US-based company OpenAI. While it’s officially called a chatbot, that doesn’t quite cover its versatility. Trained using both supervised and reinforcement learning techniques, it can do far more than most chatbots. As part of its responses, it can generate content based on all the information it was trained on. That information includes general knowledge as well as programming languages and code. As a result, it can, for instance, simulate an entire chat room; play games like tic-tac-toe; and simulate an ATM. 

More importantly, for businesses and other large organisations, it can help improve businesses’ customer service through more personalised, accurate messaging. It can even write and debug computer programs. Some of those, and other, features mean that it could both be a cybersecurity ally and a threat. 

Education, filtering, and bolstering defences 

On the positive front, there’s a lot to be said for ChatGPT. One of the most valuable roles it could play is also one of the most simple: spotting phishing. Organisations could entrench a habit in their employees whereby they use ChatGPT to determine if any content they’re not sure about is phishing or if it was generated with malicious intent. 

That’s important because, for all the technological advances made in recent years, social engineering attacks like phishing remain one of the most effective forms of cybercrime. In fact, research shows that, of the cyberattacks successfully identified in the UK in 2022, 83% involved some form of phishing. 

Of course, there are numerous other ways that ChatGPT can be used to bolster cybersecurity efforts. It could, for example, provide a degree of assistance to more junior security workers, whether that’s in communicating any issues they might have or helping them better understand the context of what they’re meant to be working on at any given point. It could also help under-resourced teams curate the latest threats and in identifying internal vulnerabilities.

The bad guys are using it too 

But even as cybersecurity professionals explore ways of using ChatGPT to their advantage, cybercriminals are too. They might, for example, make use of its ability to generate malicious code. Alternatively, they might use it to generate content that appears to be human-generated, potentially used to trick users into clicking on malicious links, unknowingly leading to dangerous consequences. 

Some are even using ChatGPT to convincingly mimic legitimate AI assistants on corporate websites, opening up a new avenue in the social engineering battlefront. Remember, the success of cybercriminals largely depends on being able to target as many possible vulnerabilities, as frequently and quickly as possible. AI tools like ChatGPT allow them to do that by essentially acting as a supercharged assistant that can help create all assets needed for malicious campaigns.

Use the tools available 

It should be clear then that, if cybercriminals are using ChatGPT and other AI tools to enhance their attacks, your security team should also be using them to bolster your cybersecurity efforts. Fortunately, you don’t have to do it alone. 

The right security provider won’t just engage in constant research around how cybercriminals are using the latest technologies to enhance their attacks but also how those technologies can be used to improve threat detection, prevention, and defence. And with the damage that a cybersecurity attack can do to your critical infrastructure, it’s something they should be proactively telling you about too. 

ChatGPT-4

With the latest release of ChatGPT (ChatGPT-4), OpenAI has made available the latest and most powerful conversational model, also introducing more controls to prevent its misuse. We asked ChatGPT “What could prevent malicious actors using ChatGPT with malicious intent” and this was the answer:

“There are several measures that could prevent malicious actors from using ChatGPT with malicious intent:

1. Access controls: OpenAl, the organization behind ChatGPT, has implemented access controls to limit who can access their API and use their technology. By restricting access, they can prevent malicious actors from using their technology for malicious purposes.

2. Monitoring and detection: OpenAl monitors the usage of their technology to detect and prevent malicious activities. They use machine learning models to identify patterns and anomalies in usage that could indicate potential misuse.

3. Ethical guidelines: OpenAl has published guidelines for responsible use of their technology, which outline best practices and ethical considerations. By following these guidelines, users can ensure that they are using the technology in a responsible and ethical manner.

4. User education: Education and awareness can help prevent the misuse of technology.

OpenAl provides resources and educational materials to help users understand the capabilities and limitations of their technology, as well as the potential risks of misuse.

5. Legal consequences: There are legal consequences for using technology like chatGPT for malicious purposes. Governments and law enforcement agencies have laws and regulations in place to punish individuals and organizations that use technology for illegal activities.

Overall, preventing malicious actors from using ChatGPT with malicious intent requires a combination of technical controls, ethical guidelines, user education, and legal consequences. It is important to use Al language models like ChatGPT responsibly and ethically to prevent the technology from being misused for harmful purposes.”

So ChatGPT went ahead and enumerated all of the measures that OpenAI has taken in order to prevent its misuse.

OpenAI, in the release blog of ChatGPT-4, explained how this model is supposedly safer than its predecessors: “We spent 6 months making GPT-4 safer and more aligned. GPT-4 is 82% less likely to respond to requests for disallowed content and 40% more likely to produce factual responses than GPT-3.5 on our internal evaluations”.

All this indicates that the right measures continue being improved to avoid its misuse, but as we all know the bad guys will continue to find ways to overcome those limitations as the model is more widely used and understood.

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The event is co-located with Cyber Security & Cloud Expo.

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