OpenAI has made an exciting announcement today, revealing the general availability of GPT-4, its latest text-generation model, via the OpenAI API. Existing OpenAI API developers with a successful payment history can access GPT-4 starting immediately. OpenAI plans to gradually expand access to new developers by the end of this month, and availability limits will be adjusted based on compute availability.
Since March, millions of developers have eagerly requested access to the GPT-4 API, and OpenAI is witnessing a growing range of innovative products leveraging the power of GPT-4. OpenAI envisions a future where chat-based models can support any use case.
Compared to its predecessor, GPT-3.5, GPT-4 offers notable improvements. It can generate text, including code, and accepts both image and text inputs. GPT-4 performs at a “human level” on various professional and academic benchmarks. The training data for GPT-4 includes publicly available information from web pages, as well as licensed data obtained by OpenAI.
However, the image-understanding capability of GPT-4 is currently limited to a single partner, Be My Eyes, as OpenAI conducts testing. OpenAI has not disclosed when this functionality will be made available to a wider customer base.
It’s important to note that, like any generative AI model, GPT-4 is not perfect. It may occasionally “hallucinate” facts and make reasoning errors, sometimes with unwarranted confidence. It also lacks the ability to learn from experience, making it prone to failures in complex tasks such as introducing security vulnerabilities in generated code.
OpenAI plans to introduce the capability for developers to fine-tune GPT-4 and GPT-3.5 Turbo, another recent text-generation model, with their own data, as has been possible with previous OpenAI models. This feature is expected to be available later this year.
The competition in generative AI has been intensifying since the unveiling of GPT-4 in March. Anthropic, for instance, expanded the context window of its text-generating model Claude from 9,000 tokens to 100,000 tokens. Context window refers to the amount of text considered by the model before generating additional text, while tokens represent units of raw text. GPT-4 previously held the record for a context window, offering up to 32,000 tokens. Models with smaller context windows tend to forget the content of recent conversations, leading to a loss of coherence.
In a related announcement, OpenAI also made its DALL-E 2 image-generating model and Whisper speech-to-text model APIs generally available. OpenAI plans to deprecate older models in its API to optimize compute capacity. Starting from January 4, 2024, GPT-3 and its derivatives will no longer be accessible. They will be replaced by new “base GPT-3” models, which are expected to be more computationally efficient. Developers currently using the older models will need to manually upgrade their integrations by January 4. Those interested in continuing to use fine-tuned old models beyond that date will have to fine-tune replacements based on the new base GPT-3 models. OpenAI will provide support to users to ensure a smooth transition and will reach out to developers who have recently used the older models with further instructions and information about testing the new completio
OpenAI has announced the addition of a new feature called Browsing to its premium chatbot, ChatGPT Plus. Subscribers can now utilize the Browsing feature on the ChatGPT app, enabling the chatbot to search Bing for answers to questions.
To activate Browsing, users can navigate to the New Features section in the app settings, select “GPT-4” in the model switcher, and choose “Browse with Bing” from the drop-down menu. The Browsing functionality is available on both the iOS and Android versions of the ChatGPT app.
OpenAI highlights that Browsing is particularly useful for inquiries related to current events and other information that extends beyond ChatGPT’s original training data. By enabling Browsing, users can access more up-to-date information, as ChatGPT’s knowledge base is limited to information available up until 2021 when Browsing is disabled.
While the introduction of Browsing enhances ChatGPT’s capabilities and makes it a more valuable research assistant, there are concerns about the restriction to Bing as the sole search engine. OpenAI’s close partnership with Microsoft, which has invested over $10 billion in the startup, likely plays a role in this choice. However, Bing is not regarded as the definitive search engine, and past analyses have raised questions about its fairness and the presence of disinformation in search results.
Users may find the limitation to Bing as a user-hostile move since they don’t have alternatives to choose from when Bing’s search results fall short. Although Microsoft continues to refine Bing’s algorithms, the lack of diversity in search options raises concerns about access to unbiased and comprehensive information.
In other news related to the ChatGPT app, OpenAI has also implemented a feature that allows users to directly access specific points in the conversation by tapping on search results. This improvement, alongside the introduction of Browsing, will be rolled out this week, according to OpenAI.
As humanity sets its sights on exploring Mars, the integration of artificial intelligence (AI) is emerging as a powerful ally for scientists studying the enigmatic Red Planet.
Among the AI tools capturing widespread attention is ChatGPT, an advanced language model developed by OpenAI. With its ability to comprehend complex queries and generate human-like text responses, ChatGPT could even help revolutionize our understanding of Mars, assisting researchers in analyzing data, providing real-time insights, and even contributing to the publication of scientific findings.
Imagine a scenario where advanced AI algorithms, fueled by extensive training on vast amounts of data, work “hand in circuit” with cutting-edge scientific instruments. Together, they could analyze the alien terrain, interpret complex data, and assist in understanding Mars’ enigmatic past and present.
This remarkable collaboration between human intellect and machine learning has the potential to reshape our knowledge of the universe beyond Earth. While this scenario may sound like science fiction, leading researchers have started contemplating its feasibility and potential implications.
The benefits of ChatGPT extend beyond its ability to analyze data and provide real-time insights. This AI companion can assist in automating repetitive tasks, allowing scientists to focus their energy on more complex and intellectually demanding endeavors.
ChatGPT could also free up time and mental resources by shouldering the burden of routine work and empowering researchers to delve deeper into the mysteries of the Red Planet.
Moreover, the integration of ChatGPT on missions to Mars holds the promise of accelerating scientific progress. With its vast knowledge base and processing power, scientists can more efficiently explore and evaluate many hypotheses and theories. This AI-driven analysis could lead to groundbreaking discoveries, reshape our understanding of Mars’ geological history, and even shed light on the potential for past or present life on the planet.
However, like any tool, using ChatGPT for this purpose is not without its challenges and limitations. Many researchers argue that its accuracy can not be assumed, particularly in the complex and dynamic Martian environment, necessitating regular human intervention and expertise. In addition, in an unforgiving environment like space, where lives hang in the balance, having an AI that hallucinates or makes up information would be a considerable risk. Striking a balance between human guidance and AI assistance would be crucial to ensuring the reliability and integrity of any scientific exploration.
Challenges of ChatGPT AI in Mars Eexploration
Not everyone is convinced of the efficacy of complete reliance on AI. Key AI and space exploration stakeholders have expressed skepticism and raised thought-provoking questions regarding using AI in studying the Red Planet and in space exploration itself. While AI, including ChatGPT, holds immense potential, these key stakeholders emphasize the importance of balancing human intellect and AI assistance.
From experts in innovation and technology management to seasoned researchers in Earth and space exploration, doubts have been raised regarding the accuracy and limitations of AI tools like ChatGPT, particularly in exploring Mars.
Sercan Ozcan, an innovation and technology management expert, warns of the limitations of ChatGPT’s accuracy and the potential for misleading information. He argues that human involvement and expertise are essential for areas where errors cannot be tolerated.
“It could be done, but there could be misleading information,” said Sercan Ozcan, adding, “ChatGPT is not 100% accurate, and it is prone to ‘hallucination.'”
Steve Ruff, an associate research professor focused on Mars exploration, also expresses skepticism about on-the-spot manuscripts generated solely by AI. He emphasizes the necessity of human interpretation and the involvement of scientific teams in analyzing and debating observations. Ruff acknowledges AI’s role in streamlining certain aspects, such as rover operations and navigation.
Ruff said, “My immediate reaction is that it’s highly unlikely that ‘on-the-spot’ manuscripts would be a realistic scenario given how the process involves debates among the team over the observations and their interpretation. I’m skeptical that any AI trained on existing observations could be used to confidently interpret new observations without humans in the loop, especially with new instrument datasets that have not been available previously. Every such dataset requires painstaking efforts to sort out.”
Another research expert, Nathalie Cabrol, director of the Carl Sagan Center for Research, recognizes the potential of AI as a valuable tool but raises concerns about its misuse and the potential erosion of human creativity and evolution. She emphasizes that AI should augment human activity rather than replace it entirely.
Amy Williams, a geological sciences expert involved in Mars rover missions, highlights the strengths and limitations of ChatGPT based on her experience. While it can provide robust summaries of existing knowledge, the model’s knowledge cutoff, hallucinations, and inability to incorporate recent data present challenges for generating complete and up-to-date scientific syntheses.
While AI and ChatGPT hold promise in aiding the study of Mars, experts’ opinions are divided. Some caution against over-reliance on AI, emphasizing the importance of human involvement and interpretation in the creative process. Others recognize the potential for AI to augment scientific endeavors but emphasize the need for careful integration and consideration of its limitations.
How can ChatGPT be used for Mars exploration?
Data analysis and interpretation:
Mars missions generate enormous data, ranging from atmospheric measurements to geological surveys. ChatGPT’s advanced natural language processing capabilities could enable it to analyze this vast information trove in some ways, identify patterns, and extract meaningful insights.
Mission planning and decision-making:
ChatGPT can contribute to optimizing mission planning and supporting decision-making processes. ChatGPT can provide recommendations based on scientific principles and historical mission data by leveraging its ability to process large datasets and evaluate various scenarios. This could assist scientists in making informed decisions that enhance mission efficiency and ensure the safety of astronauts and equipment.
Autonomous exploration:
Exploring the Martian landscape requires the deployment of autonomous rovers and drones capable of navigating the challenging terrain. Rovers and droves controlled by ChatGPT, combined with computer vision and machine learning algorithms, could facilitate autonomous navigation by aiding in analyzing landscapes, identifying obstacles, and making real-time decisions. ChatGPT could also aid in efficient data collection, including assisting in producing high-resolution images and in taking geological samples.
Climate and weather modeling:
ChatGPT could help analyze historical weather data, atmospheric conditions, and climate models. By predicting dust storms, temperature fluctuations, and other meteorological events, ChatGPT could assist scientists in optimizing power usage, scheduling activities, and ensuring the safety of missions on the Martian surface.
Image processing and geological analysis:
ChatGPT’s prowess in image processing and pattern recognition could allow scientists to automate the identification of geological features, analyze rock formations, and detect potential signs of life. In the future, ChatGPT might help accelerate the discovery process on Mars by rapidly processing and interpreting complex visual data.
Searching for signs of life:
Unraveling the mystery of whether Mars harbors or once harbored life is a primary objective of Martian exploration. ChatGPT could help scientists analyze complex data patterns that may indicate the presence of life, such as identifying biosignatures, analyzing chemical compositions, etc.
ChatGPT could be a dynamic companion in our quest to unravel Mars’s secrets, accelerating scientific discovery and igniting our imagination for the wonders that lie beyond.
OpenAI has taken the tech world by surprise with the sudden release of its ChatGPT app for Apple iOS. This unexpected move brings the power of generative AI to iPhones worldwide in a remarkably short timeframe, as it comes less than six months after the highly acclaimed chatbot made its debut on November 30. The availability of ChatGPT on iOS devices opens up new possibilities for users to engage in human-like conversations and harness the capabilities of AI directly from their iPhones. This strategic move by OpenAI demonstrates its commitment to providing accessible and innovative AI solutions to a broader audience, further expanding the reach of conversational AI technology.
Introducing the ChatGPT app for iOS! We’re live in the US and will expand to additional countries in the coming weeks. Android is next! https://t.co/p3PfTtxL9i
According to a blog post, the company says that the ChatGPT app in the App Store “syncs your conversations, supports voice input, and brings our latest model improvements to your fingertips.”
OpenAI added that the app is free to use and syncs a user’s history across devices. It also integrates Whisper, the company’s open-source speech-recognition system, enabling voice input.
In any case, as ChatGPT-likeclones have flooded the App Store, and since open-source LLMs have been shown to work on smaller devices, it’s clear that this is a big move that OpenAI needed to make quickly. Apparently that didn’t leave much time to detail any efforts around safety issues — the only thing the blog post says is “As we gather user feedback, we’re committed to continuous feature and safety improvements for ChatGPT.”
But there is good news for non-Apple users, according to the blogpost: “Android users, you’re next! ChatGPT will be coming to your devices soon.”
OpenAI’s revolutionary AI chatbot, ChatGPT, has recently undergone a groundbreaking update, unlocking a world of possibilities. This significant enhancement now grants ChatGPT access to the vast resources of the World Wide Web, elevating its capabilities and versatility to new heights.
Since its launch in November, ChatGPT has amassed an impressive user base of 100 million within a span of just two months. However, its potential was previously limited as it was trained on a dataset that concluded in 2021. The latest update has eradicated this constraint, empowering ChatGPT to engage in real-time conversations about current events and access up-to-date information.
A key feature of the update is the incorporation of over 70 third-party browser plugins. This expansion greatly enhances ChatGPT’s functionality, allowing users to seamlessly integrate a wide range of services and tools directly into their interactions with the chatbot. Whether it’s utilizing travel planning platforms like Expedia and Kayak or leveraging productivity tools such as Slack and Zapier, the integration of these plugins enables users to accomplish tasks more efficiently and gather information effectively.
Currently, these web-enabled features are exclusively available to subscribers of ChatGPT Plus, who gain premium access to the application for a monthly fee of $20. OpenAI announced the transition from alpha to beta, stating, “We are delighted to introduce web browsing and Plugins to all ChatGPT Plus users, marking our transition from alpha to beta. This exciting development allows ChatGPT to harness the power of the internet and leverage a vast array of 70+ third-party plugins.”
AI Powerhouses: ChatGPT and Bard AI Make Waves
This update comes on the heels of Google’s recent unveiling of its Bard AI system, which has been integrated into popular products such as Gmail and Maps. With Bard, Google aims to provide users across 180 countries and regions with enhanced AI capabilities, reducing the need for waitlisting and emphasizing its commitment to being an “AI first company.” These simultaneous advancements from OpenAI and Google underscore the rapid progress being made in the field of AI and the growing competition among tech giants.
However, amidst these remarkable developments, concerns about AI safety have also come to the forefront. OpenAI’s CEO, Sam Altman, is scheduled to appear before Congress to address questions regarding the risks associated with generative AI and its potential impact on society. It is crucial for AI developers and stakeholders to actively address these concerns and work in collaboration with regulatory bodies to ensure the responsible development and deployment of AI technologies.
The integration of web browsing capabilities and third-party plugins into ChatGPT marks a significant milestone in the evolution of AI chatbots. By granting access to real-time information and a diverse range of services, ChatGPT becomes an invaluable tool for users across various domains. However, responsible development practices and transparent frameworks must be upheld to ensure that the immense potential of AI is harnessed for the benefit of society.
Researchers at Toronto General Hospital in Canada recently conducted a fascinating experiment involving ChatGPT, the popular conversational chatbot. In an effort to assess its capabilities, the researchers administered a standard exam to the AI model, simulating the radiology boards’ examinations conducted in both Canada and the United States. The results were quite impressive, as ChatGPT achieved a remarkable score of 81 percent, surpassing the 70 percent passing threshold.
Ever since its launch, ChatGPT has captivated users with its remarkable ability to comprehend information and provide accurate responses to queries. This prompted researchers to push the boundaries further and test its performance on the U.S. Medical Licensing Exam (USMLE) and even the MBA exam at the prestigious Wharton Business School. However, its performance in those tests turned out to be less stellar.
Considering the widespread adoption of ChatGPT in various fields, the team of researchers at the University Medical Imaging Toronto recognized the need to explore the AI model’s potential in the field of radiology. This prompted them to undertake the examination, aiming to evaluate ChatGPT’s abilities within the context of radiological practice.
ChatGPT answers radiology questions
The researchers set up a 150-question test for ChatGPT, much like how the radiology boards in Canada and U.S. do for students. Since the AI bot cannot process images as input, the researchers provided only text in the question, which were grouped into lower-order and higher-order questions.
Questions in the lower-order group test the chatbot on knowledge recall and basic understanding of the subject, while those in the higher order required it to apply, analyze, and synthesize information.
Could AI carry out examinations soon? Researchers are wary
Since there are two versions of GPT currently available, the researchers tested both of them on the same question set to see if one was better than the other.
ChatGPT-powered by the older version, i.e., GPT 3.5, could only score 69 percent on the question set, scoring well on the lower order questions (84 percent, 51 correct out of 61) but struggled with higher order questions managing only 60 percent (53 out of 89).
After GPT-4 was released in March 2023, the researchers tested the improved version of ChatGPT again, which scored 81 percent after getting 121 of the 150 questions correct. As claimed by OpenAI about GPT-4’s superior reasoning capabilities, the newly launched large language model scored 81 percent on the higher-order questions. the press release said.
What stumped the researchers, though, is the performance of GPT-4 on lower order questions, where it got 12 questions wrong that GPT3.5 had answered correctly. “We were initially surprised by ChatGPT’s accurate and confident answers to some challenging radiology questions, but then equally surprised by some very illogical and inaccurate assertions,” said Rajesh Bhayana, a radiologist and technology lead at Toronto General Hospital.
While the tendency to confidently deliver incorrect information, dubbed hallucinations, has reduced in GPT-4, it has not been eliminated yet. In medical practice, this can be dangerous, especially when used by novices who may not be able to spot replies as inaccurate, the researchers added.
Google’s chatbot, Bard, has received a significant boost with numerous features that could potentially threaten OpenAI’s ChatGPT’s dominance. The tech giant has recently launched Bard in over 180 countries, and with its latest enhancements, the user experience has been substantially improved. OpenAI’s ChatGPT has been creating quite the buzz in the industry with its remarkable natural language processing capabilities, but Bard has emerged as a formidable rival since its launch in Marc
At the developers’ conference on May 10, Google introduced several upgrades to Bard to stay ahead of the game. It is accessible for free at https://bard.google.com/. Now that both chatbots are available for comparison, let’s take a look at how Bard is quickly closing the gap and poised to surpass ChatGPT in the near future.
1. Bard comes with real-time internet access
When it comes to accessing the internet, Google’s chatbot Bard has a clear advantage over OpenAI’s ChatGPT. While ChatGPT may require an additional web-browsing feature to access the internet, Bard comes with internet access by default. Bard’s extensive training on a massive dataset of text and code, including information from the internet, allows it to provide comprehensive and informative answers to a wide range of questions. In addition, it can fetch information from the internet and provide users with the latest news and updates. This feature puts Bard in a strong position compared to ChatGPT, which lacks built-in internet access. As such, Bard has the potential to provide users with a more seamless and comprehensive chatbot experience.
2. Bard will be available on your smartphone
The AI chatbot developed by Google, is set to offer its users the added convenience of accessibility on their smartphones. This puts it ahead of its rival ChatGPT, which does not yet have a dedicated mobile application. While ChatGPT can be accessed through smartphone browsers, having a dedicated mobile app offers a more seamless user experience. Although Bard is not yet available as a standalone app, Google has plans to integrate the chatbot into more of its apps and services, making it easily accessible to smartphone users.
3. Image Response Capability Gives it an Edge Over ChatGPT
Although ChatGPT excels at generating comprehensive text responses, it lacks the ability to provide image-based answers. This may be because OpenAI has other models, such as Dall-E, that are specifically designed for generating images. On the other hand, Google Bard is capable of including images in its text-based responses. While Google demonstrated this capability during the I/O event, we were unable to obtain image-based responses when using prompts like ‘best places to visit in Kerala.’ It is possible that this feature is still being rolled out gradually.
4. Google Bard comes with a Wide Range of Plugins
Google has recently announced that its AI chatbot, will be equipped with a wide range of plugins, including Walmart, Spotify, Uber Eats, and Adobe Firefly, among others. Interestingly, OpenAI had also introduced a similar set of plugins for ChatGPT in March this year. However, the difference lies in the fact that the plugins on ChatGPT are only available to those who have subscribed to ChatGPT Plus, a premium service that costs $20 a month.
5.Can Use Images as Prompts
One of the most notable features of Bard is its ability to use images as prompts or even scan images using Google Lens. This means that if a user is unsure about how to use their craft materials, for example, they can simply take a picture and ask Bard for suggestions. The chatbot will provide craft ideas instantly, demonstrating a significant improvement in AI chatbot prompts.
6. Introduces Voice Prompts
Google Bard offers a unique feature of using voice prompts, which is not yet available in ChatGPT. With the help of voice prompts, users can easily receive responses while performing other tasks. This is a significant development in the AI chatbot industry, as voice prompts have not been previously used in this context, giving Bard an edge over other chatbots
7. Live search results to validate prompts
Google chatbot offers users greater control over the information they receive by allowing them to validate their prompts. Along with the ability to like, dislike, and share responses, users can also use the Google Search function to search for related topics. By clicking on the Google icon, a box with relevant search terms will appear. Clicking on the topics will lead to another page displaying search results in the usual way. This feature is not yet available on ChatGPT.
8. Bard’s programming language support overshadows ChatGPT
Bard stands out from ChatGPT in terms of programming capabilities, as it supports more than 20 programming languages including C++, Python, Java, TypeScript, and JavaScript. Google claims that Bard can assist professionals in generating, explaining, and debugging code, which is a feature that ChatGPT has not yet mastered. OpenAI’s Codex, on the other hand, may be better suited for this purpose.
9. Ability to Summarize Lengthy Web Pages
One of the useful features of Google Bard is its ability to summarise web pages. By simply pasting the URL of a lengthy or complicated article or webpage, Bard can provide a concise summary that helps the user quickly understand the content. This feature is particularly helpful for users who want to stay updated on the latest news or research but may not have the time to read through lengthy articles or academic papers. With this feature, users can quickly get a gist of the content and decide whether they want to read the entire piece. This is an area where ChatGPT currently falls short, as it does not have the capability to summarize web pages.
10. Trip Planning Feature of Bard Takes AI Chatbots to the Next Level
With its exceptional features, Bard can also help users in planning trips, including finding suitable accommodations, activities, and flights. Users can simply specify their travel destination and dates, and Bard will create a personalised itinerary. Additionally, Bard can also adjust the plan based on user preferences and financial constraints, making the travel planning process even more convenient.
As AI chatbots continue to dominate the tech space, leading tech companies such as Microsoft, Google, and Meta are in a race to offer the most innovative and powerful versions of their chatbots. OpenAI’s ChatGPT initially set the benchmark for natural language processing, but now Google’s Bard has stepped up the game with a range of features and upgrades. The competition between the two is fierce, and only time will tell which chatbot will come out on top.
China’s first public arrest related to the misuse of ChatGPT has occurred, five months after the AI chatbot gained popularity for its human-like text generation capabilities. The arrestee, identified only by the surname Hong, stands accused of utilizing the chatbot to fabricate news about a fatal train crash in Gansu province, resulting in the deaths of nine individuals. The Kongtong district police made this announcement on their official WeChat account on Sunday, along with a series of photos documenting the arrest.
Hong’s detainment represents the first instance following the implementation of China’s new regulations on deepfake technology in January. These regulations are aimed at curbing the misuse of technologies capable of manipulating face and voice data. Although ChatGPT is blocked in China, individuals have found ways to circumvent these restrictions, such as by using virtual private networks (VPNs).
The local cybersecurity police unit became aware of an article regarding the train crash, which was published on April 25. Prompted by this discovery, an investigation was launched into the matter. Authorities uncovered that 21 blog-style accounts on Baidu, China’s equivalent of Google, had simultaneously published similar fake articles featuring various locations. These posts had collectively garnered over 15,000 views at the time, as reported by the Gansu police.
The cybersecurity police in Gansu successfully traced the origin of the fabricated posts to an independent company operated by Hong, registered in the tech hub of Shenzhen. Hong confessed to using ChatGPT to generate the false news about the train crashes before disseminating them online, according to the Gansu police.
Hong currently faces charges of “picking quarrels and provoking trouble,” a crime that carries a maximum prison sentence of 10 years. The investigation is still ongoing, as stated.
OpenAI CEO Sam Altman has announced a significant shift in the company’s strategy regarding the training of its large-language GPT models for artificial intelligence (AI). In response to customer feedback and concerns, OpenAI will no longer utilize client data for training purposes. The decision comes after customers expressed their desire to protect their data, prompting OpenAI to reconsider their approach. Altman confirmed the change, stating, “Customers clearly want us not to train on their data, so we’ve changed our plans: We will not do that.”
While the revised strategy applies primarily to client data used for training via OpenAI’s API services, it’s important to note that ChatGPT, the company’s chatbot, may still incorporate information from external sources. OpenAI’s focus on data privacy and protection aims to address customer concerns and align with evolving privacy standards. By respecting customer preferences, OpenAI aims to foster trust and transparency in its AI development process.
The decision holds significance for OpenAI’s corporate clients, including industry giants like Microsoft, Salesforce, and Snapchat, who frequently utilize OpenAI’s API capabilities. The modified approach reflects OpenAI’s commitment to prioritizing customer needs and respecting data privacy. While the use of AI models continues to raise broader questions and concerns within various industries, OpenAI’s shift in strategy demonstrates a willingness to adapt and respond to customer feedback.
The ongoing debate surrounding large-language models extends beyond privacy concerns. Restrictions on ChatGPT usage for script production or editing, for example, have led to a strike by the Writers Guild of America, highlighting concerns about the impact of AI technologies on creative industries. Intellectual property considerations also emerge as a prominent issue. As businesses grapple with these challenges, OpenAI’s decision to discontinue training on client data represents a notable step towards addressing customer concerns and fostering responsible AI development practices.
ChatGPT causing an ‘existential crisis?’
Barry Diller, a businessman in the entertainment industry and the head of IAC, said that media corporations might litigate their claims and possibly sue AI firms for using their original content.
This week, the Writers Guild of America (WGA), which represents over 10,000 writers in the American film industry, went on strike due to an “existential crisis” about the possibility of AI taking their employment..
Amazon apparently issued a recent warning to staff members not to divulge sensitive information to ChatGPT for fear that it would appear in chat responses for other users.
On Monday, employees at Samsung Electronics Co. are not allowed to use generative AI technologies, such as ChatGPT, Google Bard, and Bing AI, among others.
According to media sources with access to the company’s internal memo, the tech giant alerted staff at one of its main divisions about the new policy due to concerns regarding the security of critical code.
“We ask that you diligently adhere to our security guideline, and failure to do so may result in a breach or compromise of company information resulting in disciplinary action up to and including termination of employment,” the memo warned employees.
The issue of data privacy and protection is becoming more crucial as the use of large-language models increases. AI companies are trying hard to preserve client privacy and be open about using customer data, noted the CNBCreport.
Microsoft plans to launch a new version of ChatGPT on its dedicated Azure cloud computing servers to address concerns regarding data leaks and regulatory compliance. This version would allow users to safeguard sensitive information from being used to train ChatGPT’s language model.
While many companies use OpenAI’s conversation chatbot, ChatGPT, to showcase their adoption of AI and improve customer experiences, industries such as healthcare and finance have been hesitant due to the risk of data leaks associated with the service’s common infrastructure. With Microsoft’s offering of a private ChatGPT service, these industries may feel more secure in utilizing AI technology to automate processes.
OpenAI itself had a brief mishap in March this year when a bug exposed brief chat descriptions of some users to others. Competitors in business would be distraught if trade secrets or customer information were leaked in such a scenario.
ChatGPT on Dedicated Servers
As part of its multi-year, multi-billion investment in OpenAI, Microsoft has begun to incorporate the AI model in its own products. The software giant has also gained the rights to sell OpenAI’s products to customers and is now looking to bundle its Azure cloud computing services by offering a niche product to some users.
Since OpenAI is still developing its AI models, it uses customer information for training its language models. Interesting Engineering reported last month how Samsung faced multiple incidents where confidential information was entered into ChatGPT by employees unknowingly looking for help from AI.
Microsoft’s offering is expected to be aimed at large organizations that are still on the fence about using ChatGPT over such fears of accidental leakage of confidential information. However, this special case consideration is expected to come at an extra cost, which could end up being as much as 10 times the cost of using ChatGPT in a shared space, according to The Information‘s report.
Microsoft’s announcement of such a service is expected to come later this quarter but will also compete with OpenAI’s own offering, which makes similar promises that will not use the data for training the AI model.
It will be interesting to see OpenAI and Microsoft, who have been partners in promoting ChatGPT now compete for the same set of customers with similar products and even similar backend infrastructure. This will also coincide with the launch of bilingual models such as Alibaba’s Tongyi Qianwen, which will seek customers from the Western markets.
The other option for companies would be to choose the cloud computing infrastructure of their own choice and develop AI models based on their own data and needs, much like Bloomberg did.
