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Artificial Intelligence

OpenAI launches enterprise ChatGPT





OpenAI today launched ChatGPT Enterprise, a business-focused version of its AI-powered chatbot app, to capitalize on ChatGPT’s viral success.

ChatGPT Enterprise, which OpenAI teased in a blog post earlier this year, can write emails, essays, and debug code. However, the new ChatGPT adds “enterprise-grade” privacy and data analysis, improved performance, and customization options.

Microsoft’s recently launched enterprise chatbot service, Bing Chat Enterprise, has similar features to ChatGPT Enterprise.

“Today marks another step towards an AI assistant for work that helps with any task, protects your company data and is customized for your organization,” OpenAI writes. Businesses interested in ChatGPT Enterprise should contact us. No pricing yet, but it will depend on each company’s usage and use cases.”

ChatGPT Enterprise’s new admin console includes single sign-on, domain verification, and usage statistics dashboards to manage employee use. Shareable conversation templates let employees build internal workflows using ChatGPT, and credits to OpenAI’s API platform let companies create fully custom solutions.

ChatGPT Enterprise also includes unlimited access to Advanced Data Analysis, formerly Code Interpreter, which analyzes data, creates charts, solves math problems, and more, including from uploaded files. Given a prompt like “Tell me what’s interesting about this data,” ChatGPT’s Advanced Data Analysis can find insights in financial, health, or location data.

Advanced Data Analysis was previously only available to ChatGPT Plus subscribers, the $20-per-month premium tier of the consumer web and mobile apps. To clarify, OpenAI says ChatGPT Plus will remain and that ChatGPT Enterprise will complement it.

GPT-4, OpenAI’s flagship AI model, powers ChatGPT Enterprise and Plus. ChatGPT Enterprise customers receive priority access to GPT-4, which offers twice the speed and a larger context window of 32,000 tokens (~25,000 words).

Tokens are raw text, while context window is the text the model considers before generating more text. For example, “fantastic” would be split into “fan,” “tas,” and “tic”. Models with large context windows are less likely to “forget” recent conversations.

OpenAI emphasizes that it won’t train models on business data sent to ChatGPT Enterprise or usage data and that all conversations with ChatGPT Enterprise are encrypted in transit and at rest to reassure businesses that have restricted their employees from using the consumer version.

“We believe AI can assist and elevate every aspect of our working lives and make teams more creative and productive,” writes OpenAI in a blog post.

OpenAI claims that more than 80% of Fortune 500 companies have adopted ChatGPT, one of the fastest-growing consumer apps in history, and that businesses want an enterprise-focused version.

ChatGPT’s longevity is uncertain.

From May to June, ChatGPT traffic dropped 9.7% globally and average web app time dropped 8.5%, according to Similarweb. The drop may be due to OpenAI’s ChatGPT app for iOS and Android and summer vacation (fewer kids using ChatGPT for homework help). But increased competition wouldn’t be surprising.

OpenAI must monetize the tool regardless.

According to The Information, ChatGPT cost over $540 million last year, including Google talent acquisition. Some estimate ChatGPT costs OpenAI $700,000 per day.

OpenAI only earned $30 million in fiscal 2022.

CEO Sam Altman has told investors that ChatGPT Enterprise will help the company reach $200 million this year and $1 billion next year.

OpenAI plans to offer ChatGPT Business for smaller teams, connect apps to ChatGPT Enterprise, offer “more powerful” and “enterprise-grade” Advanced Data Analysis and web browsing, and provide tools for data analysts, marketers, and customer support.

“We look forward to sharing an even more detailed roadmap with prospective customers and continuing to evolve ChatGPT Enterprise based on your feedback,” OpenAI writes.

As Editor here at GeekReply, I'm a big fan of all things Geeky. Most of my contributions to the site are technology related, but I'm also a big fan of video games. My genres of choice include RPGs, MMOs, Grand Strategy, and Simulation. If I'm not chasing after the latest gear on my MMO of choice, I'm here at GeekReply reporting on the latest in Geek culture.

Artificial Intelligence

ChatGPT Will Soon “See, Hear, And Speak” With Its Latest AI Update





A major update to ChatGPT lets the chatbot respond to images and voice conversations. The AI will hear your questions, see the world, and respond.

OpenAI, the non-profit group behind ChatGPT and DALL-E, announced the “multimodal” update in a blog post on Monday, saying it will add voice and image features to ChatGPT Plus and Enterprise over the next two weeks.

The post said it would be available for other groups “soon after.” It was unclear when it would be added to free versions.

Part of this update may be like Siri and Alexa, where you can ask a question and get the answer.

Anyone who’s used ChatGPT knows its AI isn’t a sterile search engine. It can find patterns and solve complex problems creatively and conversationally.


According to OpenAI, “Snap a picture of a landmark while traveling and have a live conversation about what’s interesting about it” could expand these abilities. To decide what to make for dinner, take pictures of your fridge and pantry at home and ask questions for a recipe. Take a photo, circle the problem set, and have it share hints with your child after dinner to help them with a math problem.

This development “opens doors to many creative and accessibility-focused applications,” said OpenAI. They added that it will pose “new risks, such as the potential for malicious actors to impersonate public figures or commit fraud.”

The update currently only allows voice chat with AI trained with specific voice actors. It seems you can’t ask, “Read this IFLScience article in the voice of Stephen Hawking.”

However, current AI technology can achieve that.

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Artificial Intelligence

Track People and Read Through Walls with Wi-Fi Signals





Recent research has shown that your Wi-Fi router’s signals can be used as a sneaky surveillance system to track people and read text through walls.

Recently, Carnegie Mellon University computer scientists developed a deep neural network that digitally maps human bodies using Wi-Fi signals.

It works like radar. Many sensors detect Wi-Fi radio waves reflected around the room by a person walking. This data is processed by a machine learning algorithm to create an accurate image of moving human bodies.

“The results of the study reveal that our model can estimate the dense pose of multiple subjects, with comparable performance to image-based approaches, by utilizing WiFi signals as the only input,” the researchers wrote in a December 2022 pre-print paper.

The team claims this experimental technology is “privacy-preserving” compared to a camera, despite concerns about intrusion. The algorithm can only detect rough body positions, not facial features and appearance, so it could provide a new way to monitor people anonymously.

They write, “This technology may be scaled to monitor the well-being of elder people or just identify suspicious behaviors at home.”

Recent research at the University of California Santa Barbara showed another way Wi-Fi signals can be used to spy through walls. They used similar technology to detect Wi-Fi signals through a building wall and reveal 3D alphabet letters.

WiFi still imagery is difficult due to motionlessness. “We then took a completely different approach to this challenging problem by tracing the edges of the objects,” said UC Santa Barbara electrical and computer engineering professor Yasamin Mostofi.


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Artificial Intelligence

A futurist predicts human immortality by 2030





Ray Kurzweil, a computer scientist and futurist, has set specific timelines for humanity’s immortality and AI’s singularity. If his predictions are correct, you can live forever by surviving the next seven years.

Kurzweil correctly predicted in 1990 that a computer would beat human world chess champions by 2000, the rise of portable computers and smartphones, the shift to wireless technology, and the Internet’s explosion before it was obvious.

He even checked his 20-year-old predictions in 2010. He claims that of his 147 1990 predictions for the years leading up to 2010, 115 were “entirely correct” 12 were essentially correct, and 3 were entirely wrong.

Of course, he miscalculates, predicting self-driving cars by 2009.

Though bold (and probably wrong), immortality claims shouldn’t be dismissed out of hand. Kurzweil has made bold predictions like this for years, sticking to his initial dates.

“2029 is the consistent date I have predicted for when an AI will pass a valid Turing test and therefore achieve human levels of intelligence,” Kurzweil said in 2017. “I have set the date 2045 for the ‘Singularity’ which is when we will multiply our effective intelligence a billion fold by merging with the intelligence we have created.”

Kurzweil predicts we will “advance human life expectancy” by “more than a year every year” by 2030. Part of this progress toward the singularity 15 years later will involve nanobots in our bloodstream repairing and connecting our brain to the cloud. When this happens, we can send videos (or emails if you want to think about the duller aspects of being a freaking cyborg) from our brains and backup our memories.

Kurzweil believes the singularity will make humans “godlike” rather than a threat.

We’ll be funnier. Our sexiness will increase. We’ll express love better,” he said in 2015.

“If I want to access 10,000 computers for two seconds, I can do that wirelessly,” he said, “and my cloud computing power multiplies ten thousandfold. We’ll use our neocortex.”

“I’m walking along and Larry Page comes, and I need a clever response, but 300 million modules in my neocortex won’t work. One billion for two seconds. Just like I can multiply my smartphone’s intelligence thousands-fold today, I can access that in the cloud.”

Nanobots can deliver drug payloads into brain tumors, but without significant advances in the next few years, it’s unlikely we’ll get there in seven years. Paralyzed patients can now spell sentences and monkeys can finally play Pong with brain-computer interfaces.

Kurzweil says we’re far from the future, with human-AI interactions mostly the old way. His accuracy will be determined by time. Fortunately, his predictions predict plenty of time.

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