Sources familiar with the matter disclosed to Reuters that OpenAI is actively exploring options, including evaluating an undisclosed company for potential acquisition to bolster its AI chip-making ambitions.

The shortage of chips, a fundamental component in AI technology, has prompted OpenAI to consider various strategies. These options include internal chip production, forging closer ties with its primary chip supplier NVIDIA, and diversifying its chip providers.

Earlier this year, OpenAI CEO Sam Altman voiced his concerns about the chip scarcity—resulting in delays to the company’s projects.

In a since-deleted blog post by Humanloop CEO Raza Habib, the AI expert wrote about his experience sitting down with Altman:

“A common theme that came up throughout the discussion was that currently OpenAI is extremely GPU-limited and this is delaying a lot of their short-term plans. The biggest customer complaint was about the reliability and speed of the API.

Sam acknowledged their concern and explained that most of the issue was a result of GPU shortages.The longer 32k context can’t yet be rolled out to more people. OpenAI haven’t overcome the O(n^2) scaling of attention and so whilst it seemed plausible they would have 100k – 1M token context windows soon (this year) anything bigger would require a research breakthrough.

The finetuning API is also currently bottlenecked by GPU availability. They don’t yet use efficient finetuning methods like Adapters or LoRa and so finetuning is very compute-intensive to run and manage.

Better support for finetuning will come in the future. They may even host a marketplace of community contributed models. Dedicated capacity offering is limited by GPU availability.”

If OpenAI proceeds with its plan to manufacture its own chips, it will join the ranks of industry giants like Google and Amazon who have already transitioned to in-house chip production. This move could potentially alleviate OpenAI’s dependency on external suppliers, empowering the company to meet the escalating demand for specialised AI chips.

Since the public launch of ChatGPT in November last year, the demand for specialised AI chips has skyrocketed—causing a surge in NVIDIA’s share prices as companies rush to procure the desirable hardware.

OpenAI has not made a final decision regarding the acquisition or in-house chip production, and discussions are ongoing to address the pressing chip shortage and sustain the company’s AI initiatives.

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DALL-E 3 promises significant enhancements over its predecessors and introduces seamless integration with ChatGPT.

One of the standout features of DALL-E 3 is its ability to better understand and interpret user intentions when confronted with detailed and lengthy prompts:

"A middle-aged woman of Asian descent, her dark hair streaked with silver, appears fractured and splintered, intricately embedded within a sea of broken porcelain. The porcelain glistens with splatter paint patterns in a harmonious blend of glossy and matte blues, greens,… pic.twitter.com/QryQz0BtxB

— OpenAI (@OpenAI) September 20, 2023

Even if a user struggles to articulate their vision precisely, ChatGPT can step in to assist in crafting comprehensive prompts.

DALL-E 3 has been engineered to excel in creating elements that its predecessors and other AI generators have historically struggled with, such as rendering intricate depictions of hands and incorporating text into images:

"An illustration of a human heart made of translucent glass, standing on a pedestal amidst a stormy sea. Rays of sunlight pierce the clouds, illuminating the heart, revealing a tiny universe within. The quote 'Find the universe within you' is etched in bold letters across the… pic.twitter.com/S3cKMkG67T

— OpenAI (@OpenAI) September 20, 2023

OpenAI has also implemented robust security measures, ensuring the AI system refrains from generating explicit or offensive content by identifying and ignoring certain keywords in prompts.

Beyond technical advancements, OpenAI has taken steps to mitigate potential legal issues. 

While the current DALL-E version can mimic the styles of living artists, the forthcoming DALL-E 3 has been designed to decline requests to replicate their copyrighted works. Artists will also have the option to submit their original creations through a dedicated form on the OpenAI website, allowing them to request removal if necessary.

OpenAI’s rollout plan for DALL-E 3 involves an initial release to ChatGPT ‘Plus’ and ‘Enterprise’ customers next month. The enhanced image generator will then become available to OpenAI’s research labs and API customers in the upcoming fall season.

As OpenAI continues to push the boundaries of AI technology, DALL-E 3 represents a major step forward in text-to-image generation.

(Image Credit: OpenAI)

See also: Stability AI unveils ‘Stable Audio’ model for controllable audio generation

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The crux of its appeal lies in its enhanced features, including an impressive 32,000-token context window. This upgrade enables ChatGPT Enterprise to process extended pieces of text or hold prolonged conversations, allowing for more nuanced and comprehensive exchanges.

One of the most significant leaps forward is the elimination of usage limits. Enterprise users will enjoy unrestricted access to GPT-4 queries that are delivered at accelerated speeds, heralding a new era of streamlined interactions and rapid data analysis.

Jorge Zuniga, Head of Data Systems and Integrations at Asana, said:

“ChatGPT Enterprise has cut down research time by an average of an hour per day, increasing productivity for people on our team. It’s been a powerful tool that has accelerated testing hypotheses and improving our internal systems.”

Security-conscious businesses can rest assured as ChatGPT Enterprise boasts a robust security framework. Data encryption “at rest” and “in transit” ensures data privacy through AES 256 and TLS 1.2+ technologies respectively. Customer prompts and sensitive corporate data also remain untapped for OpenAI model training.

In an era where data security is paramount, ChatGPT Enterprise has obtained SOC 2 compliance—providing some extra confidence in its stringent adherence to security, availability, processing integrity, and privacy standards.

Furthermore, the introduction of an administrative console enables efficient member management, domain verification, and single sign-on (SSO), catering to the complex needs of large-scale deployments.

OpenAI’s blog post touts ChatGPT’s impressive adoption. With over 80 percent uptake in Fortune 500 companies, industry titans such as Block, Canva, and PwC are utilising ChatGPT Enterprise to expedite tasks ranging from coding to crafting clearer communications.

Based on a Deloitte survey of CEOs, 79 percent of chief executives are of the opinion that generative AI will enhance operational efficiencies. Additionally, 52 percent of the surveyed CEOs hold the view that it will open up growth prospects, while 55 percent acknowledge that they are currently exploring or testing AI solutions.

Another study by Gartner revealed that 45 percent of top-level executives mentioned that exposure to ChatGPT had motivated them to boost their investments in AI. This trend is likely to continue with the introduction of ChatGPT Enterprise.

Claire Trachet, CEO and founder of business advisory Trachet, commented:

“As we saw with the debut of ChatGPT, investor confidence naturally grew with everyone wanting to capitalise on new technology that will inevitably change the way we work on a day-to-day basis. 

This is also coming at a time when the AI arms race is becoming more competitive, and consumers are becoming more familiar with AI technology. As a result, consumers and businesses are becoming more inclined to use and integrate this technology into their lives and businesses.

For startups and smaller businesses, this will act as a way to help them scale up in a more cost-effective way through M&A deals and gain investor interest.”

Amidst the fervour surrounding ChatGPT Enterprise, questions emerge about its potential to transform business processes. Andrej Karpathy of OpenAI believes it may become as essential as spreadsheets.

Danny Wu, Head of AI Products at Canva, said:

“From engineers troubleshooting bugs, to data analysts clustering free-form data, to finance analysts writing tricky spreadsheet formulas—the use cases for ChatGPT Enterprise are plenty.

It’s become a true enabler of productivity, with the dependable security and data privacy controls we need.”

However, it’s crucial to reiterate that GPT-4’s strengths lie more in analysis, explanation, summary, and translation, rather than being an infallible source of facts.

Pricing for ChatGPT Enterprise remains undisclosed. Enterprises looking to get started will have to wait for more information on how much this potentially groundbreaking AI tool will cost them.

(Photo by Sean Pollock on Unsplash)

See also: ChatGPT’s political bias highlighted in study

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The fine-tuning allows developers to tailor the models to their specific use cases and deploy these custom models at scale. This move aims to bridge the gap between AI capabilities and real-world applications, heralding a new era of highly-specialised AI interactions.

With early tests yielding impressive results, a fine-tuned version of GPT-3.5 Turbo has demonstrated the ability to not only match but even surpass the capabilities of the base GPT-4 for certain narrow tasks.

All data sent in and out of the fine-tuning API remains the property of the customer, ensuring that sensitive information remains secure and is not used to train other models.

The deployment of fine-tuning has garnered significant interest from developers and businesses. Since the introduction of GPT-3.5 Turbo, the demand for customising models to create unique user experiences has been on the rise.

Fine-tuning opens up a realm of possibilities across various use cases, including:

• Improved steerability: Developers can now fine-tune models to follow instructions more accurately. For instance, a business wanting consistent responses in a particular language can ensure that the model always responds in that language.

• Reliable output formatting: Consistent formatting of AI-generated responses is crucial, especially for applications like code completion or composing API calls. Fine-tuning improves the model’s ability to generate properly formatted responses, enhancing the user experience.

• Custom tone: Fine-tuning allows businesses to refine the tone of the model’s output to align with their brand’s voice. This ensures a consistent and on-brand communication style.

One significant advantage of fine-tuned GPT-3.5 Turbo is its extended token handling capacity. With the ability to handle 4k tokens – twice the capacity of previous fine-tuned models – developers can streamline their prompt sizes, leading to faster API calls and cost savings.

To achieve optimal results, fine-tuning can be combined with techniques such as prompt engineering, information retrieval, and function calling. OpenAI also plans to introduce support for fine-tuning with function calling and gpt-3.5-turbo-16k in the upcoming months.

The fine-tuning process involves several steps, including data preparation, file upload, creating a fine-tuning job, and using the fine-tuned model in production. OpenAI is working on a user interface to simplify the management of fine-tuning tasks.

The pricing structure for fine-tuning comprises two components: the initial training cost and usage costs.

• Training: $0.008 / 1K Tokens
• Usage input: $0.012 / 1K Tokens
• Usage output: $0.016 / 1K Tokens

The introduction of updated GPT-3 models – babbage-002 and davinci-002 – has also been announced, providing replacements for existing models and enabling fine-tuning for further customisation.

These latest announcements underscore OpenAI’s dedication to creating AI solutions that can be tailored to meet the unique needs of businesses and developers.

(Image Credit: Claudia from Pixabay)

See also: ChatGPT’s political bias highlighted in study

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The researchers claim to have discovered substantial political bias in ChatGPT’s responses, leaning towards the left side of the political spectrum.

Published in the journal Public Choice this week, the study – conducted by Fabio Motoki, Valdemar Pinho, and Victor Rodrigues – argues that the presence of political bias in AI-generated content could perpetuate existing biases found in traditional media.

The research highlights the potential impact of such bias on various stakeholders, including policymakers, media outlets, political groups, and educational institutions.

Utilising an empirical approach, the researchers employed a series of questionnaires to gauge ChatGPT’s political orientation. The chatbot was asked to answer political compass questions, capturing its stance on various political issues.

Furthermore, the study examined scenarios where ChatGPT impersonated both an average Democrat and a Republican, revealing the algorithm’s inherent bias towards Democratic-leaning responses.

The study’s findings indicate that ChatGPT’s bias extends beyond the US and is also noticeable in its responses regarding Brazilian and British political contexts. Notably, the research even suggests that this bias is not merely a mechanical result but a deliberate tendency in the algorithm’s output.

Determining the exact source of ChatGPT’s political bias remains a challenge. The researchers investigated both the training data and the algorithm itself, concluding that both factors likely contribute to the bias. They highlighted the need for future research to delve into disentangling these components for a clearer understanding of the bias’s origins.

OpenAI, the organisation behind ChatGPT, has not yet responded to the study’s findings. This study joins a growing list of concerns surrounding AI technology, including issues related to privacy, education, and identity verification in various sectors.

As the influence of AI-driven tools like ChatGPT continues to expand, experts and stakeholders are grappling with the implications of biased AI-generated content.

This latest study serves as a reminder that vigilance and critical evaluation are necessary to ensure that AI technologies are developed and deployed in a fair and balanced manner, devoid of undue political influence.

(Photo by Priscilla Du Preez on Unsplash)

See also: Study highlights impact of demographics on AI training

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Custom Instructions empower users to tailor their interactions with ChatGPT according to their unique needs and preferences, making conversations more dynamic and relevant.

Whether a student seeking homework help, an aspiring writer brainstorming ideas, or a curious mind exploring various topics, the AI model can now take into account specific instructions to generate more relevant and personalised responses:

As users set their preferences or requirements using Custom Instructions, ChatGPT will consider these inputs in every subsequent interaction—eliminating the need to repeat instructions. This feature streamlines conversations and fosters a more engaging and productive dialogue with the AI.

Furthermore, the integration of Custom Instructions augments the utility of ChatGPT’s plugins. By incorporating specific details provided by users – such as location or preferences – the AI can seamlessly interact with plugins to provide more accurate and contextually relevant responses.

OpenAI has adapted safety measures to accommodate the introduction of Custom Instructions. Instructions violating usage policies will be identified and disregarded, in a bid to maintain a secure environment for all users.

As part of its ongoing efforts to enhance the model’s performance, OpenAI may use Custom Instructions to refine ChatGPT’s capabilities. However, the company maintains transparency and control by allowing users to manage their data settings and opt out of this feature if desired.

To embrace the personalisation benefits of Custom Instructions, free plan users can navigate to their account settings and select the option to enable this feature.

Custom Instructions are currently unavailable to users in the EU and UK but OpenAI plans to expand access “soon”.

(Photo by Jonathan Kemper on Unsplash)

See also: OpenAI deploys web crawler in preparation for GPT-5

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The company says the data amassed through GPTBot could potentially enhance model accuracy and expand its capabilities, marking a significant step in the evolution of AI-powered language models.

Web crawlers – also referred to as web spiders – play a pivotal role in indexing content across the vast expanse of the internet. Renowned search engines such as Google and Bing rely on these bots to populate their search results with relevant web pages.

OpenAI’s GPTBot will have a distinct purpose: to gather publicly available data while carefully sidestepping sources that involve paywalls, personal data collection, or content that contravenes OpenAI’s policies.

Website owners have the ability to prevent GPTBot from crawling their sites simply by implementing a “disallow” command within a standard server file. This grants them control over which portions of their content are accessible to the web crawler.

OpenAI’s announcement follows closely on the heels of the company’s submission of a trademark application for “GPT-5,” which is anticipated to succeed the current GPT-4 model. 

The filing, made with the United States Patent and Trademark Office on July 18, encompasses the usage of “GPT-5” in AI-based human speech and text, audio-to-text conversion, voice recognition, and speech synthesis.

However, while the GPT-5 trademark application has generated excitement among AI enthusiasts, OpenAI’s CEO Sam Altman cautioned against premature expectations. Altman revealed that the company is still far from initiating GPT-5 training, as extensive safety audits need to be conducted prior to embarking on the process.

OpenAI’s recent endeavours have not been without their share of controversy. Concerns have arisen over the company’s data collection practices, particularly surrounding copyright and consent issues.

In June, Japan’s privacy regulator issued a warning to OpenAI concerning unauthorised data collection. Earlier this year, Italy temporarily prohibited the use of ChatGPT due to alleged violations of European Union privacy laws.

OpenAI and Microsoft also currently face a class-action lawsuit filed by 16 plaintiffs who claim that private information from ChatGPT user interactions was accessed without proper consent. The companies have also been hit with a lawsuit over GitHub Copilot, with the claimants alleging the code-generation tool infringed on the rights of developers by scraping their code without providing due attribution.

Should these allegations prove true, both OpenAI and Microsoft could potentially be found in violation of the Computer Fraud and Abuse Act, a legal precedent with relevance to web-scraping cases.

As OpenAI continues to push the boundaries of AI technology, it must navigate these challenges to ensure responsible and ethical development in the AI landscape.

(Image Credit: Gerd Altmann from Pixabay)

See also: Meta launches Llama 2 open-source LLM

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Recently, Geoffrey Hinton – the so-called “Godfather of AI” – expressed his worries about the possibility of superintelligent AI surpassing human capabilities and causing catastrophic consequences for humanity.

Similarly, Sam Altman, CEO of OpenAI, the company behind the popular ChatGPT chatbot, admitted to being fearful of the potential effects of advanced AI on society.

In response to these concerns, OpenAI has announced the establishment of a new unit called Superalignment.

The primary goal of this initiative is to ensure that superintelligent AI does not lead to chaos or even human extinction. OpenAI acknowledges the immense power that superintelligence can possess and the potential dangers it presents to humanity.

While the development of superintelligent AI may still be some years away, OpenAI believes it could be a reality by 2030. Currently, there is no established system for controlling and guiding a potentially superintelligent AI, making the need for proactive measures all the more crucial.

Superalignment aims to build a team of top machine learning researchers and engineers who will work on developing a “roughly human-level automated alignment researcher.” This researcher will be responsible for conducting safety checks on superintelligent AI systems. 

OpenAI acknowledges that this is an ambitious goal and that success is not guaranteed. However, the company remains optimistic that with a focused and concerted effort, the problem of superintelligence alignment can be solved.

The rise of AI tools like OpenAI’s ChatGPT and Google’s Bard has already brought significant changes to the workplace and society. Experts predict that these changes will only intensify in the near future, even before the advent of superintelligent AI.

Recognising the transformative potential of AI, governments worldwide are racing to establish regulations to ensure its safe and responsible deployment. However, the lack of a unified international approach poses challenges. Varying regulations across countries could lead to different outcomes and make achieving Superalignment’s goal even more difficult.

By proactively working towards aligning AI systems with human values and developing necessary governance structures, OpenAI aims to mitigate the dangers that could arise from the immense power of superintelligence.

While the task at hand is undoubtedly complex, OpenAI’s commitment to addressing these challenges and involving top researchers in the field signifies a significant effort towards responsible and beneficial AI development.

(Photo by Zac Wolff on Unsplash)

See also: OpenAI’s first global office will be in London

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The strategic move demonstrates OpenAI’s commitment to expanding its operations, embracing diverse perspectives, and accelerating its mission of ensuring that artificial general intelligence (AGI) benefits all of humanity.

London, renowned for its exceptional talent pool, was chosen as the ideal location for OpenAI’s international office. The city’s vibrant technology ecosystem, welcoming regulatory environment, and thriving community of innovators make it the perfect hub for OpenAI to advance its cutting-edge research and engineering capabilities.

The London teams will work closely with local communities and policymakers, fostering collaboration on OpenAI’s mission to create and promote safe AGI.

“We are thrilled to extend our research and development footprint into London,” said Diane Yoon, OpenAI’s VP of People.

“We are eager to build dynamic teams in Research, Engineering, and Go-to-Market functions, as well as other areas, to reinforce our efforts in creating and promoting safe AGI.”

OpenAI has been at the forefront of AI research, creating breakthroughs in natural language processing, reinforcement learning, and other areas. With the establishment of its international office, OpenAI intends to tap into the diverse expertise and perspectives available in London, further bolstering its capabilities and amplifying its impact.

Sam Altman, CEO of OpenAI, also shared his excitement about the future prospects of the London office.

“We see this expansion as an opportunity to attract world-class talent and drive innovation in AGI development and policy,” Altman stated.

“We’re excited about what the future holds and to see the contributions our London office will make towards building and deploying safe AI.”

By establishing a physical presence in London, OpenAI can forge closer partnerships with local institutions, universities, and industry experts, fostering a collaborative environment that propels AI innovation forward.

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Altman highlighted the potential benefits of AI technologies like ChatGPT and Dall-E 2 to help address significant challenges such as climate change and cancer, but he also stressed the need to mitigate the risks associated with increasingly powerful AI models.

Altman proposed that governments consider implementing licensing and testing requirements for AI models that surpass a certain threshold of capabilities. He highlighted OpenAI’s commitment to safety and extensive testing before releasing any new systems, emphasising the company’s belief that ensuring the safety of AI is crucial.

Senators Josh Hawley and Richard Blumenthal expressed their recognition of the transformative nature of AI and the need to understand its implications for elections, jobs, and security. Blumenthal played an audio introduction using an AI voice cloning software trained on his speeches, demonstrating the potential of the technology.

Blumenthal raised concerns about various risks associated with AI, including deepfakes, weaponised disinformation, discrimination, harassment, and impersonation fraud. He also emphasised the potential displacement of workers in the face of a new industrial revolution driven by AI.

Altman’s call for regulation aligns with concerns raised by AI experts and ethicists, including former Google researchers Dr Timnit Gebru and Meredith Whitaker. They argue that the rapid adoption of AI is overhyped and fails to deliver inherent social good. 

Whitaker highlighted the concentration of power in the hands of a few tech companies and their ability to shape social and political landscapes through AI technologies. She expressed concerns about the existing power dynamics and emphasised the need for a more equitable distribution of AI capabilities.

Whitaker cautioned against the notion that AI will automatically lead to social good or equal access for all, arguing that it is a fantasy propagated for marketing purposes. She stressed the importance of acknowledging the concentration of power and the need to ensure that AI is harnessed for the benefit of society as a whole.

As AI continues to advance, the conversation surrounding its regulation and responsible deployment becomes increasingly important. Balancing the potential benefits with the risks and ensuring equitable access and distribution of AI technologies are key challenges that policymakers, researchers, and industry leaders must address collectively.

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