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Harnessing AI for Resilience, Efficiency, and Sustainability

Taylor Marlowe
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0
Harnessing AI for Resilience, Efficiency, and Sustainability

Accelerate Sustainability with AI

As the new AI economy unfolds, we are seeing leading organizations around the world harness the potential of AI to accelerate business resilience, efficiency, and sustainability. For example, business leaders are using AI to enable smarter resource use, optimize systems for efficiency, and foster innovations in carbon-free energy and conservation—advancing both productivity and prosperity.

Explore Actions and Innovations

The reason to choose AI for this work? It has three unique abilities that can help organizations overcome key bottlenecks. AI can: (1) measure, predict, and optimize complex systems, (2) accelerate the development of sustainability solutions, and (3) empower the sustainability workforce. These capabilities make AI a critical enabler of progress.

How Can Business Leaders Harness AI to Accelerate Resilience, Efficiency, and Sustainability in Their Organization?

I recently met with Lindsay Myers, Vice President, Commercial Cross Solutions at Microsoft, who leads our Commercial Sustainability business, to talk more about this guidance and how business leaders can harness AI to accelerate resilience, efficiency, and sustainability in their organizations.

Minimize Resource Use in AI Design and Operations

AI has its own energy and water demands, so it’s crucial to minimize resource use and move toward powering AI systems with carbon-free energy. In addition, since AI infrastructure is often concentrated in specific regions, it is essential to support the local communities where datacenters are located. At Microsoft, we’re innovating across three critical areas to continue to advance the sustainability of cloud and AI services:

  • Optimizing datacenter energy, water, and waste efficiency while protecting ecosystems.
  • Advancing low-carbon materials and creating global markets to promote industry-wide sustainability.
  • Enhancing the energy efficiency of AI and cloud services.

Build Workforce Capacity to Use AI for Sustainability

For companies to be able to put AI’s three game-changing capabilities to work, they must have skills to use AI effectively. Microsoft has training programs focused on building AI fluency, supporting nonprofits, businesses, and governments in advancing workforce AI technical skills and promoting safe and responsible AI development.

Transform Business Using Generative AI

For business leaders wanting to put these plays in action and guide their organizations through effective AI adoption, we’ve published the 2025 AI Decision Brief: Insights from Microsoft and AI leaders on navigating the generative AI platform shift. This report is packed with perspectives from top Microsoft leaders and insights from AI innovators, along with stories of companies across industries that have transformed their businesses using generative AI.

Conclusion

In conclusion, AI has the potential to revolutionize the way we approach sustainability, efficiency, and resilience. By harnessing the power of AI, businesses can unlock new possibilities, drive innovation, and create a more sustainable future. We believe that with the right tools, skills, and mindset, organizations can transform their operations and create a better future for all.

FAQs

Q: What are the three unique abilities of AI?
A: AI can measure, predict, and optimize complex systems, accelerate the development of sustainability solutions, and empower the sustainability workforce.

Q: How can businesses harness AI to accelerate resilience, efficiency, and sustainability in their organization?
A: Businesses can use AI to enable smarter resource use, optimize systems for efficiency, and foster innovations in carbon-free energy and conservation.

Q: What are some examples of AI innovation in sustainability?
A: Esri is helping cities unlock the power of digital twins driven by geospatial data and AI. Stadtwerke München (SWM) is using Microsoft Azure and Azure IoT to efficiently provide power to its public transport fleet of 100% electrified vehicles.

Hue Accidentally Leaks a New Video Doorbell

Avery Winslow
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0
Hue Accidentally Leaks a New Video Doorbell

Update: New Philips Hue Secure Video Doorbell Spotted in App

Philips Hue App Leak Reveals New Video Doorbell

An update to the Philips Hue app this week appears to have leaked a new Hue Secure video doorbell, according to reports from Hueblog. The unannounced product shows up in a section offering instructions for adding devices without QR codes.

First Look at the New Hue Secure Doorbell

From the screenshots below, taken in the iOS Hue app by colleague Jennifer Pattison Tuohy, the Hue Secure doorbell is a straightforward video doorbell – tall, rectangular, and with what looks like a large button inside an LED circle. As of this writing, the app still shows it on my phone.

Technical Details Emerge

I was only able to get so far in the instructions before hitting a wall, but there are details to glean. The device might be a wired device, thanks to mentions of low-voltage errors and a need to "physically install" the camera before setup. It also uses both Bluetooth (for setup, at least) and Wi-Fi.

Launch and Pricing Expectations

Hueblog writes that the camera isn’t expected to launch until this fall, so it could be a while before pricing or camera specs are available. The best way to set your expectations is probably to look at Hue’s other Secure cameras, such as the floodlight and indoor/outdoor options launched in 2023. They each offer 1080p video, two-way talk, and end-to-end encryption of recordings, as well as smart alerts for people, pets, and vehicles. They also don’t support HomeKit Secure Video, and I wouldn’t expect that to change with this device.

Frequently Asked Questions

Q: When will the new Hue Secure video doorbell be available?
A: The camera isn’t expected to launch until this fall.

Q: What features can I expect from the new Hue Secure video doorbell?
A: It will likely offer 1080p video, two-way talk, and end-to-end encryption of recordings, as well as smart alerts for people, pets, and vehicles, similar to other Hue Secure cameras.

Q: Will the new Hue Secure video doorbell support HomeKit Secure Video?
A: No, it’s unlikely to support HomeKit Secure Video, based on the features of other Hue Secure cameras.

NVIDIA and Yum! Brands Accelerate Restaurant Industry Innovation

Emerson Blake
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0
NVIDIA and Yum! Brands Accelerate Restaurant Industry Innovation

World’s Largest Restaurant Company Advances AI Adoption

The quick-service restaurant industry is a marvel of modern logistics, where speed, teamwork, and kitchen operations are key ingredients for every order. Yum! Brands is now introducing AI-powered agents at select Pizza Hut and Taco Bell locations to assist and enhance the team member experience.

Generative AI-Powered Customer-Facing Experiences

Generative AI-powered customer-facing experiences like automated ordering can help speed operations — but they’re often difficult to scale because of complexity and costs. To manage that complexity, developers at Byte by Yum! harnessed NVIDIA NIM microservices and NVIDIA Riva to build new AI-accelerated voice ordering agents in under four months. The voice AI is deployed on Amazon EC2 P4d instances accelerated by NVIDIA A100 GPUs, which enables the agents to understand natural speech, process complex menu orders, and suggest add-ons — increasing accuracy and customer satisfaction and helping reduce bottlenecks in high-volume locations.

Rollout of AI Solutions Underway

Yum!’s voice AI agents are already being deployed across its brands, including in call centers to handle phone orders when demand surges during events like game days. An expanded rollout of AI solutions at up to 500 restaurants is expected this year.

Computer Vision and Restaurant Intelligence

Beyond AI-accelerated ordering, Yum! is also testing NVIDIA computer vision software to analyze drive-thru traffic and explore new use cases for AI to perceive, alert, and adjust staffing, with the goal of optimizing service speed. Another initiative focuses on NVIDIA AI-accelerated restaurant operational intelligence. Using NIM microservices, Yum! can deploy applications analyzing performance metrics across thousands of locations to generate customized recommendations for managers, identifying what top-performing stores do differently and applying those insights system-wide.

Conclusion

The bottom line: AI is making restaurant operations and dining experiences easier, faster, and more personal for the world’s largest restaurant company.

Frequently Asked Questions

Q: What is Yum! Brands’ goal with AI adoption?
A: Yum! Brands aims to deploy multiple AI solutions using NVIDIA technology in 500 restaurants this year.

Q: How does Yum! plan to achieve its AI goals?
A: Yum! is leveraging its digital technology team, including its proprietary AI-driven restaurant technology platform, Byte by Yum!, to pioneer its AI-accelerated strategy.

Q: What are some of the benefits of Yum!’s AI solutions?
A: Yum!’s AI solutions can increase accuracy and customer satisfaction, reduce bottlenecks, and optimize service speed.

Q: What is the scope of Yum!’s partnership with NVIDIA?
A: Yum! and NVIDIA are partnering to deploy AI solutions across up to 500 restaurants this year, with a focus on AI-accelerated ordering, computer vision, and restaurant operational intelligence.

Microsoft is exploring a way to credit contributors to AI training data

Avery Winslow
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0
Microsoft is exploring a way to credit contributors to AI training data

Microsoft Launches Research Project to Estimate Influence of Training Data on AI Models

Introduction
Microsoft is launching a research project to estimate the influence of specific training examples on the text, images, and other types of media that generative AI models create. The project, which is seeking a research intern, aims to demonstrate that models can be trained in a way that the impact of particular data on their outputs can be "efficiently and usefully estimated".

Background
AI-powered text, code, image, video, and song generators are at the center of a number of IP lawsuits against AI companies. These companies often train their models on massive amounts of data from public websites, some of which is copyrighted. Many of the companies argue that fair use doctrine shields their data-scraping and training practices. However, creatives – from artists to programmers to authors – largely disagree.

Microsoft’s Research Effort
The New York Times sued Microsoft and its partner, OpenAI, in December, accusing the two companies of infringing on The Times’ copyright by deploying models trained on millions of its articles. Several software developers have also filed suit against Microsoft, claiming that the firm’s GitHub Copilot AI coding assistant was unlawfully trained using their protected works.

Collaboration with Jaron Lanier
The research project has the involvement of Jaron Lanier, the accomplished technologist and interdisciplinary scientist at Microsoft Research. Lanier has written about the concept of "data dignity", which involves connecting "digital stuff" with "the humans who want to be known for having made it".

Data Dignity
A data-dignity approach would trace the most unique and influential contributors when a big model provides a valuable output. For instance, if you ask a model for "an animated movie of my kids in an oil-painting world of talking cats on an adventure", then certain key oil painters, cat portraitists, voice actors, and writers – or their estates – might be calculated to have been uniquely essential to the creation of the new masterpiece. They would be acknowledged and motivated. They might even get paid.

Existing Solutions
Several companies are already attempting to address this issue. AI model developer Bria claims to "programmatically" compensate data owners according to their "overall influence". Adobe and Shutterstock also award regular payouts to dataset contributors, although the exact payout amounts tend to be opaque.

Challenges and Uncertainty
Few large labs have established individual contributor payout programs outside of inking licensing agreements with publishers, platforms, and data brokers. They’ve instead provided means for copyright holders to "opt out" of training. However, some of these opt-out processes are onerous, and only apply to future models – not previously trained ones.

Conclusion
Microsoft’s project may amount to little more than a proof of concept. However, the company’s investigation into ways to trace training data is notable in light of other AI labs’ recently expressed stances on fair use. Several top labs, including Google and OpenAI, have published policy documents recommending that the Trump administration weaken copyright protections as they relate to AI development.

FAQs

Q: What is the purpose of Microsoft’s research project?
A: The project aims to estimate the influence of specific training examples on the text, images, and other types of media that generative AI models create.

Q: What is the scope of the project?
A: The project is seeking a research intern and will demonstrate that models can be trained in a way that the impact of particular data on their outputs can be "efficiently and usefully estimated".

Q: Will Microsoft’s project lead to changes in the way AI models are trained?
A: It is possible that the project will lead to changes in the way AI models are trained, particularly if it is successful in tracing the influence of specific training data.

Q: Will other AI labs follow Microsoft’s lead?
A: It is possible that other AI labs will follow Microsoft’s lead and also launch similar research projects to estimate the influence of training data on AI models.

Mastering SEO for AI Overviews

Jordan Waverly
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0
Mastering SEO for AI Overviews

Optimizing For AIO

Danny Sullivan, Google’s Search Liaison, shared insights about AI Overviews, explaining how predictive summaries, grounding links, and the query fan-out technique work together to shape AI-generated search results.

Google Explains Why AIO Results Are Different

One of the main takeaways from this part of Danny’s presentation was his explanation of why Google AIO search results are different. This is the clearest explanation of why the AIO search results are different, every SEO and publisher needs to know this.

Predictive Summaries

Danny explained the mystery behind AIO search results that show content and links that are different from what organic search results show, which makes it harder to understand how to optimize for that kind of AI search results.

Grounding Links

Sullivan also revealed that "grounding links" are another reason why AIO search results are different from the regular organic search results. An AIO search result is a summary of a topic that includes facts about multiple subtopics. The purpose of grounding is to anchor the entire summary to verifiable information from the web ecosystem.

Query Fan-Out Technique

Danny Sullivan also touched on the topic of AI Mode, saying that right now it’s not really something to optimize for because it’s still in Google Labs and it’s very likely to change and be something different if it ever gets out of Google Labs. But he did say that AI Mode uses something called a query fan-out technique.

Takeaways

Google Search Liaison, aka Danny Sullivan, encouraged the use of the core SEO fundamentals, saying that they are still relevant for ranking. Danny explained why the links in AI Overviews can sometimes differ significantly from those in the organic search results, introducing three concepts that help understand AIO search results better.

Three Concepts Related to AIO Search Results to Understand:

  1. Predictive Summaries
  2. Grounding Links
  3. Query Fan-Out Technique

Conclusion

In conclusion, understanding how AI Overviews work is crucial for SEOs and publishers to optimize for AIO search results. By grasping the concepts of predictive summaries, grounding links, and the query fan-out technique, we can better understand how to optimize for AI-generated search results.

Frequently Asked Questions

Q: What is AIO?
A: AIO stands for Artificial Intelligence Overviews, which is a type of search result that provides a summary of a topic, including facts about multiple subtopics.

Q: What is the query fan-out technique?
A: The query fan-out technique is a method used by AI Mode to issue multiple related queries to retrieve a broader range of results, which are then used to generate the AI Overview.

Q: Is it necessary to optimize for AIO search results?
A: No, it’s not necessary to optimize for AIO search results, as it’s still in Google Labs and is likely to change and be different if it ever gets out of Google Labs.

This Opportunity Is Bigger Than AI

Emerson Blake
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0
This Opportunity Is Bigger Than AI

The Future of Business: Storytelling in the Age of AI

As I reflect on the opportunities that lie ahead, I am convinced that storytelling will be a game-changer for businesses. In this article, I will share with you why I believe storytelling is the future of business, and how it can help you stand out in a crowded market.

What is Storytelling?

Storytelling is the art of sharing messages, emotions, and values in an authentic way. It is how we connect with people, whether in casual conversations or through bigger media. In business, storytelling transforms standard marketing into an engaging journey that captures the consumer’s heart.

The Impact of Storytelling

Brands can see a 30% increase in conversion rates with compelling storytelling. 55% of people who love a brand story are more likely to buy the product in the future, and 15% will buy the product immediately. Storytelling significantly boosts consumer trust; 81% of consumers say they need to be able to trust the brand to buy from them.

Why is Storytelling So Crucial?

In today’s chaotic world, what does the future look like when anyone can do anything? The only thing that will separate you from the tons of competitors is who can tell a better story that cuts through the noise and humanizes their product or service.

Common Misconceptions about Storytelling

Storytelling is sometimes overlooked or shunned in the business and deemed unimportant. However, that couldn’t be further from the truth. Storytelling is not just for creative industries, and it requires dramatic flair. It is a powerful tool in any industry, shaping how people connect, understand, and remember ideas.

3 Steps to Get Started with Storytelling

First, don’t overthink this. Every story has a beginning, middle, and end. The key is to keep everything in the proper order. Here are three simple steps to get started with storytelling in your business:

  1. Know who you’re talking to: Understand your audience by knowing their needs and wants. This helps you create stories they will care about, making your message stronger and more memorable.
  2. What’s your main point?: Think about the main thing you want to say with your story. What’s the most important idea or value about your brand that you want everyone to know? Keep this message clear and straightforward. This is the heart of your story.
  3. Make it relatable: Start your story with something your audience can understand and relate to. Describe their problem and explain how your product or service can fix it.

Conclusion

In conclusion, storytelling is not just a passing trend or a marketing gimmick. It is a powerful tool that can help you stand out in a crowded market, connect with your audience, and build trust. By following the three simple steps outlined above, you can start telling compelling stories that will resonate with your audience.

Frequently Asked Questions

Q: What is the future of business?
A: Storytelling is the future of business.

Q: How can I start telling stories?
A: Start by knowing your audience, identifying your main point, and making it relatable.

Q: Is storytelling just for creative industries?
A: No, storytelling is a powerful tool in any industry.

Q: Can I learn to tell engaging stories?
A: Yes, anyone can learn to tell engaging stories.

Cloudflare is luring web-scraping bots into an ‘AI Labyrinth’

Avery Winslow
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0
Cloudflare is luring web-scraping bots into an ‘AI Labyrinth’

Cloudflare Unveils AI Labyrinth to Combat Web-Crawling Bots

What is AI Labyrinth?
Cloudflare, a leading network infrastructure company, has introduced AI Labyrinth, a new tool designed to combat web-crawling bots that scrape sites for AI training data without permission. This free, opt-in tool detects "inappropriate bot behavior" and lures crawlers down a path of links to AI-generated decoy pages, slowing down, confusing, and wasting the resources of those acting in bad faith.

The Problem with Current Methods
Websites have traditionally relied on the honor system approach of robots.txt, a text file that gives or denies permission to scrapers. However, even well-known AI companies like Anthropic and Perplexity AI have been accused of ignoring this approach. Cloudflare handles over 50 billion web crawler requests per day and has tools for spotting and blocking malicious ones, but this often prompts attackers to switch tactics in a never-ending arms race.

How AI Labyrinth Works
Rather than blocking bots, AI Labyrinth fights back by making them process data that has nothing to do with a given website’s actual data. The company describes it as a "next-generation honeypot," drawing in AI crawlers that keep following links to fake pages, whereas a regular human being wouldn’t. This makes it easier to fingerprint malicious bots for Cloudflare’s list of bad actors and identify new bot patterns and signatures that wouldn’t have been detected otherwise. These links should not be visible to human visitors.

How to Use AI Labyrinth
Website administrators can opt into using AI Labyrinth by navigating to the Bot Management section of their site’s Cloudflare dashboard’s settings and toggling it on. The company plans to create "whole networks of linked URLs" that bots that end up in will have a hard time clocking as fake.

Conclusion
AI Labyrinth is a significant step in the fight against web-crawling bots, and Cloudflare’s commitment to using generative AI to thwart bots is a promising development. As the company continues to evolve this technology, it will be exciting to see how it addresses the challenges of web crawling and AI training data collection.

FAQs

Q: What is AI Labyrinth?
A: AI Labyrinth is a new tool from Cloudflare designed to combat web-crawling bots that scrape sites for AI training data without permission.

Q: How does AI Labyrinth work?
A: AI Labyrinth lures crawlers down a path of links to AI-generated decoy pages, slowing down, confusing, and wasting the resources of those acting in bad faith.

Q: How do I use AI Labyrinth?
A: Website administrators can opt into using AI Labyrinth by navigating to the Bot Management section of their site’s Cloudflare dashboard’s settings and toggling it on.

Q: Is AI Labyrinth similar to other tools like Nepenthes?
A: Yes, AI Labyrinth is similar to Nepenthes, a tool designed to sideline crawlers for "months" in a hell of AI-generated junk data.

Agent Insights: No Hype, Just Facts

Parker Lennox
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0
Agent Insights: No Hype, Just Facts

LLM Agents are Simply Graph — Tutorial For Dummies

Introduction

Zachary Huang

In this tutorial, we will explore the concept of LLM Agents, which are simply graph. We will delve into the world of AI and explore the benefits and limitations of this technology.

What are LLM Agents?

LLM Agents are a type of intelligent agent that uses graph-based reasoning to make decisions. They are designed to learn from data and improve over time, making them a powerful tool for a wide range of applications.

How do LLM Agents Work?

LLM Agents work by using a graph-based representation of the world. This graph is created by defining nodes and edges that represent entities and relationships in the world. The agent then uses this graph to make decisions and take actions.

Benefits of LLM Agents

There are several benefits to using LLM Agents. They can:

  • Learn from data and improve over time
  • Make decisions quickly and accurately
  • Handle complex problems and situations
  • Be used in a wide range of applications

Limitations of LLM Agents

While LLM Agents are powerful tools, they are not without their limitations. Some of the limitations include:

  • Limited data can lead to limited learning
  • Limited understanding of the world can lead to limited decision-making
  • Can be difficult to train and fine-tune

Conclusion

In conclusion, LLM Agents are a powerful tool for making decisions in complex situations. While they are not without their limitations, they can be a valuable addition to any organization’s toolkit.

FAQs

Q: What is the difference between LLM Agents and other types of AI?

A: LLM Agents use graph-based reasoning, which sets them apart from other types of AI.

Q: How do I get started with LLM Agents?

A: You can start by learning more about graph-based reasoning and machine learning.

Q: What are some common use cases for LLM Agents?

A: LLM Agents can be used in a wide range of applications, including natural language processing, vision, and robotics.

Q: How do I train an LLM Agent?

A: Training an LLM Agent requires a good understanding of machine learning and graph-based reasoning.

Q: Can LLM Agents be used in real-time applications?

A: Yes, LLM Agents can be used in real-time applications, such as autonomous vehicles or medical diagnosis.

Nvidia Unveils Revolutionary AI Advancements at GTC 2025

Parker Lennox
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0
Nvidia Unveils Revolutionary AI Advancements at GTC 2025

Nvidia’s GPU Technology Conference (GTC) 2025: A Week of AI and Innovation

GTC: From Humble Beginnings to Global Phenomenon

Today marks the end of Nvidia’s GPU Technology Conference (GTC) 2025, a weeklong event in San Jose, California that will be remembered for a long time, if not for the content of the presentations than for the sheer spectacle of the show. GTC has come a long way since its inception in 2009, when it was a relatively obscure chipmaker selling graphics cards used primarily by videogame enthusiasts.

A New Era of AI: "The Super Bowl of AI"

GTC 2025 was dubbed "The Super Bowl of AI" this year, with Nvidia CEO Jensen Huang, dubbed "AI Jesus" by the New York Times, calling it "Everybody wins at the Super Bowl." The event attracted an estimated 25,000 people to downtown San Jose, with demand so great that the last remaining hotel rooms in the downtown area were going for a reported $2,500 per night.

The Sessions and Expo Halls

The sessions filled up all the rooms at the convention center – and then some. The PwC building down the street from the convention center also hosted sessions, and served as a meeting area for vendors. However, the 15-minute wait to get up the elevator made it difficult for meeting participants to get there on time. Some vendors that plunked down $40,000 for meeting rooms in the PwC building instead used hotel lobbies as impromptu meeting areas – provided you could find a chair. To accommodate the massive turnout, a second expo hall was set up.

Huang’s Keynote Address

Huang’s keynote address has always been a big draw at GTC, but the convention center no longer has a room big enough. In 2019, Nvidia moved the keynote a half-mile east to San Jose State University’s arena, the Provident Credit Union Event Center, which can seat up to 6,500 people. But even that provided only a temporary reprieve. This year, the keynote was held at the SAP Center, half a mile west from the convention center, with Huang firing t-shirts to adoring fans before his keynote on March 18, 2025.

The Future of GTC: Growing San Jose

It’s not clear if even the SAP Center is big enough for Nvidia. The company may want to consider moving the show up the road to Levi’s Stadium, home of the San Francisco 49ers, which has seating for nearly 70,000. "The only way to hold more people in GTC is we’re going to have to grow San Jose, and we’re working on it," Huang said during his keynote address. "We have a lot of land here. We’ve got to grow San Jose."

Conclusion

GTC 2025 has come to a close, but the excitement and enthusiasm for AI and innovation will continue to grow. With its focus on AI, GTC has become the go-to event for professionals and enthusiasts alike, and its impact on the tech industry will be felt for years to come.

FAQs

  • What is GTC?
    GTC stands for GPU Technology Conference, an annual event organized by Nvidia.
  • What is the purpose of GTC?
    GTC is a platform for professionals and enthusiasts to learn about the latest developments in AI, machine learning, and other emerging technologies.
  • What is the significance of GTC 2025?
    GTC 2025 is significant because it marks a new era of AI, with the event attracting a record number of attendees and featuring cutting-edge technology and innovation.
  • What is the future of GTC?
    The future of GTC is likely to be tied to the growth of San Jose, with Nvidia working on plans to expand the city to accommodate the increasing demand for the conference.

The AI Chatbot

Avery Winslow
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0
The AI Chatbot

Timeline of the Most Recent ChatGPT Updates

March 2025

  • OpenAI faces privacy complaint in Europe for chatbot’s defamatory hallucinations: Noyb, a privacy rights advocacy group, is supporting an individual in Norway who was shocked to discover that ChatGPT was providing false information about him, stating that he had been found guilty of killing two of his children and trying to harm the third.
  • OpenAI upgrades its transcription and voice-generating AI models: OpenAI has added new transcription and voice-generating AI models to its APIs, including a text-to-speech model, "gpt-4o-mini-tts," that delivers more nuanced and realistic sounding speech, as well as two speech-to-text models called "gpt-4o-transcribe" and "gpt-4o-mini-transcribe."
  • OpenAI has launched o1-pro, a more powerful version of its o1: OpenAI has introduced o1-pro in its developer API, which uses more computing than its o1 "reasoning" AI model to deliver "consistently better responses." It’s only accessible to select developers who have spent at least $5 on OpenAI API services.
  • OpenAI research lead Noam Brown thinks AI "reasoning" models could’ve arrived decades ago: Noam Brown, who heads AI reasoning research at OpenAI, thinks that certain types of AI models for "reasoning" could have been developed 20 years ago if researchers had understood the correct approach and algorithms.
  • OpenAI says it has trained an AI that’s "really good" at creative writing: OpenAI CEO Sam Altman said in a post on X that the company has trained a "new model" that’s "really good" at creative writing. He posted a lengthy sample from the model given the prompt "Please write a metafictional literary short story about AI and grief."

Other News

  • OpenAI launches new tools to help businesses build AI agents: OpenAI has rolled out new tools designed to help developers and businesses build AI agents using the company’s own AI models and frameworks.
  • ChatGPT has an app: Yes, there is a free ChatGPT mobile app for iOS and Android users.
  • What is the ChatGPT character limit?: It’s not documented anywhere that ChatGPT has a character limit. However, users have noted that there are some character limitations after around 500 words.
  • Does ChatGPT have an API?: Yes, it was released March 1, 2023.
  • What are some sample everyday uses for ChatGPT?: Everyday examples include programming, scripts, email replies, listicles, blog ideas, summarization, etc.
  • What are some advanced uses for ChatGPT?: Advanced use examples include debugging code, programming languages, scientific concepts, complex problem solving, etc.
  • How good is ChatGPT at writing code?: It depends on the nature of the program. While ChatGPT can write workable Python code, it can’t necessarily program an entire app’s worth of code. That’s because ChatGPT lacks context awareness.

Controversies Surrounding ChatGPT

  • Data privacy concerns: OpenAI has said that individuals in "certain jurisdictions" (such as the EU) can object to the processing of their personal information by its AI models by filling out this form.
  • Lawsuits: Discord announced that it had integrated OpenAI’s technology into its bot named Clyde, where two users tricked Clyde into providing them with instructions for making the illegal drug methamphetamine (meth) and the incendiary mixture napalm. An Australian mayor has publicly announced he may sue OpenAI for defamation due to ChatGPT’s false claims that he had served time in prison for bribery. CNET found itself in the midst of controversy after Futurism reported the publication was publishing articles under a mysterious byline completely generated by AI.
  • School bans: Several major school systems and colleges, including New York City Public Schools, have banned ChatGPT from their networks and devices, claiming that the AI impedes the learning process by promoting plagiarism and misinformation.

Frequently Asked Questions

  • Where can I find examples of ChatGPT prompts? Several marketplaces host and provide ChatGPT prompts, either for free or for a nominal fee. One is PromptBase. Another is ChatX.
  • Can ChatGPT be detected? Poorly. Several tools claim to detect ChatGPT-generated text, but in our tests, they’re inconsistent at best.
  • Are ChatGPT chats public? No. But OpenAI recently disclosed a bug, since fixed, that exposed the titles of some users’ conversations to other people on the service.
  • What lawsuits are there surrounding ChatGPT? None specifically targeting ChatGPT. But OpenAI is involved in at least one lawsuit that has implications for AI systems trained on publicly available data, which would touch on ChatGPT.
  • Are there issues regarding plagiarism with ChatGPT? Yes. Text-generating AI models like ChatGPT have a tendency to regurgitate content from their training data.
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