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The only AI essay writing tool designed specifically for your academic level, field and type of paper, offering precise, tailored assistance that no AI tool can match.

The most advanced text editor, customized for AI. Built for students.

Olovka's AI guides you through the essay writing process with targeted suggestions, enhancing your work every step of the way without doing it all for you.

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Chat with your essays to get instant insights and explanations, streamlining your research process and overcome writer's block with Olovka's AI writing tools.

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Olovka is an advanced AI essay writer and learning companion tailored specifically for students. Powered by OpenAI, Olovka helps you write perfect essays, conduct detailed research, and transform your essays into interactive quizzes for faster, active learning.

Olovka's generative AI provides targeted suggestions and guides you through each phase of the essay writing process. With its advanced text editor, you can write essays 10x faster without compromising on quality.

Yes, Olovka is the only AI essay writing tool designed specifically for various academic levels and fields. Whether you're working on a thesis, research paper, literature review, or case study, Olovka offers precise, tailored assistance unmatched by other AI tools.

Yes, Olovka allows you to research while writing your essay or paper. You can chat with your AI writer to get instant insights and explanations, streamlining your research process and helping you overcome any writer's block you may encounter.

Yes, Olovka supports various types of academic work, including reflective journals, thesis papers, research papers, literature reviews, case studies, project reports, presentations and more...

Olovka has been developed in collaboration with students from the world's leading universities. It has been designed to assist students in enhancing their writing skills without being considered a problem by academic institutions.

Olovka can generate quizzes from your essays and papers, which enhances your understanding and retention of the material. This feature promotes active learning and ensures that you actually learn something from your written work.

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How to Get ChatGPT to Write an Essay: Prompts, Outlines, & More

Last Updated: June 2, 2024 Fact Checked

Getting ChatGPT to Write the Essay

Using ai to help you write, expert interview.

This article was co-authored by Bryce Warwick, JD and by wikiHow staff writer, Nicole Levine, MFA . Bryce Warwick is currently the President of Warwick Strategies, an organization based in the San Francisco Bay Area offering premium, personalized private tutoring for the GMAT, LSAT and GRE. Bryce has a JD from the George Washington University Law School. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 51,341 times.

Are you curious about using ChatGPT to write an essay? While most instructors have tools that make it easy to detect AI-written essays, there are ways you can use OpenAI's ChatGPT to write papers without worrying about plagiarism or getting caught. In addition to writing essays for you, ChatGPT can also help you come up with topics, write outlines, find sources, check your grammar, and even format your citations. This wikiHow article will teach you the best ways to use ChatGPT to write essays, including helpful example prompts that will generate impressive papers.

Things You Should Know

• To have ChatGPT write an essay, tell it your topic, word count, type of essay, and facts or viewpoints to include.
• ChatGPT is also useful for generating essay topics, writing outlines, and checking grammar.
• Because ChatGPT can make mistakes and trigger AI-detection alarms, it's better to use AI to assist with writing than have it do the writing.

• Before using the OpenAI's ChatGPT to write your essay, make sure you understand your instructor's policies on AI tools. Using ChatGPT may be against the rules, and it's easy for instructors to detect AI-written essays.
• While you can use ChatGPT to write a polished-looking essay, there are drawbacks. Most importantly, ChatGPT cannot verify facts or provide references. This means that essays created by ChatGPT may contain made-up facts and biased content. [1] X Research source It's best to use ChatGPT for inspiration and examples instead of having it write the essay for you.

• The topic you want to write about.
• Essay length, such as word or page count. Whether you're writing an essay for a class, college application, or even a cover letter , you'll want to tell ChatGPT how much to write.
• Other assignment details, such as type of essay (e.g., personal, book report, etc.) and points to mention.
• If you're writing an argumentative or persuasive essay , know the stance you want to take so ChatGPT can argue your point.
• If you have notes on the topic that you want to include, you can also provide those to ChatGPT.
• When you plan an essay, think of a thesis, a topic sentence, a body paragraph, and the examples you expect to present in each paragraph.
• It can be like an outline and not an extensive sentence-by-sentence structure. It should be a good overview of how the points relate.

• "Write a 2000-word college essay that covers different approaches to gun violence prevention in the United States. Include facts about gun laws and give ideas on how to improve them."
• This prompt not only tells ChatGPT the topic, length, and grade level, but also that the essay is personal. ChatGPT will write the essay in the first-person point of view.
• "Write a 4-page college application essay about an obstacle I have overcome. I am applying to the Geography program and want to be a cartographer. The obstacle is that I have dyslexia. Explain that I have always loved maps, and that having dyslexia makes me better at making them."

Tyrone Showers

Be specific when using ChatGPT. Clear and concise prompts outlining your exact needs help ChatGPT tailor its response. Specify the desired outcome (e.g., creative writing, informative summary, functional resume), any length constraints (word or character count), and the preferred emotional tone (formal, humorous, etc.)

• In our essay about gun control, ChatGPT did not mention school shootings. If we want to discuss this topic in the essay, we can use the prompt, "Discuss school shootings in the essay."
• Let's say we review our college entrance essay and realize that we forgot to mention that we grew up without parents. Add to the essay by saying, "Mention that my parents died when I was young."
• In the Israel-Palestine essay, ChatGPT explored two options for peace: A 2-state solution and a bi-state solution. If you'd rather the essay focus on a single option, ask ChatGPT to remove one. For example, "Change my essay so that it focuses on a bi-state solution."

Pay close attention to the content ChatGPT generates. If you use ChatGPT often, you'll start noticing its patterns, like its tendency to begin articles with phrases like "in today's digital world." Once you spot patterns, you can refine your prompts to steer ChatGPT in a better direction and avoid repetitive content.

• "Give me ideas for an essay about the Israel-Palestine conflict."
• "Ideas for a persuasive essay about a current event."
• "Give me a list of argumentative essay topics about COVID-19 for a Political Science 101 class."

• "Create an outline for an argumentative essay called "The Impact of COVID-19 on the Economy."
• "Write an outline for an essay about positive uses of AI chatbots in schools."
• "Create an outline for a short 2-page essay on disinformation in the 2016 election."

• "Find peer-reviewed sources for advances in using MRNA vaccines for cancer."
• "Give me a list of sources from academic journals about Black feminism in the movie Black Panther."
• "Give me sources for an essay on current efforts to ban children's books in US libraries."

• "Write a 4-page college paper about how global warming is changing the automotive industry in the United States."
• "Write a 750-word personal college entrance essay about how my experience with homelessness as a child has made me more resilient."
• You can even refer to the outline you created with ChatGPT, as the AI bot can reference up to 3000 words from the current conversation. For example: "Write a 1000 word argumentative essay called 'The Impact of COVID-19 on the United States Economy' using the outline you provided. Argue that the government should take more action to support businesses affected by the pandemic."

• One way to do this is to paste a list of the sources you've used, including URLs, book titles, authors, pages, publishers, and other details, into ChatGPT along with the instruction "Create an MLA Works Cited page for these sources."
• You can also ask ChatGPT to provide a list of sources, and then build a Works Cited or References page that includes those sources. You can then replace sources you didn't use with the sources you did use.

Expert Q&A

• Because it's easy for teachers, hiring managers, and college admissions offices to spot AI-written essays, it's best to use your ChatGPT-written essay as a guide to write your own essay. Using the structure and ideas from ChatGPT, write an essay in the same format, but using your own words. Thanks Helpful 0 Not Helpful 0
• Always double-check the facts in your essay, and make sure facts are backed up with legitimate sources. Thanks Helpful 0 Not Helpful 0
• If you see an error that says ChatGPT is at capacity , wait a few moments and try again. Thanks Helpful 0 Not Helpful 0

• Using ChatGPT to write or assist with your essay may be against your instructor's rules. Make sure you understand the consequences of using ChatGPT to write or assist with your essay. Thanks Helpful 1 Not Helpful 0
• ChatGPT-written essays may include factual inaccuracies, outdated information, and inadequate detail. [3] X Research source Thanks Helpful 0 Not Helpful 0

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Thanks for reading our article! If you’d like to learn more about completing school assignments, check out our in-depth interview with Bryce Warwick, JD .

• ↑ https://help.openai.com/en/articles/6783457-what-is-chatgpt
• ↑ https://platform.openai.com/examples/default-essay-outline
• ↑ https://www.ipl.org/div/chatgpt/

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Did a Person Write This Headline, or a Machine?

The tech industry pays programmers handsomely to tap the right keys in the right order, but earlier this month entrepreneur Sharif Shameem tested an alternative way to write code.

First he wrote a short description of a simple app to add items to a to-do list and check them off once completed. Then he submitted it to an artificial intelligence system called GPT-3 that has digested large swaths of the web, including coding tutorials. Seconds later, the system spat out functioning code. “I got chills down my spine,” says Shameem. “I was like, ‘Woah something is different.’”

GPT-3, created by research lab OpenAI , is provoking chills across Silicon Valley. The company launched the service in beta last month and has gradually widened access. In the past week, the service went viral among entrepreneurs and investors, who excitedly took to Twitter to share and discuss results from prodding GPT-3 to generate memes , poems , tweets , and guitar tabs .

The software’s viral moment is an experiment in what happens when new artificial intelligence research is packaged and placed in the hands of people who are tech-savvy but not AI experts. OpenAI’s system has been tested and feted in ways it didn’t expect. The results show the technology’s potential usefulness but also its limitations—and how it can lead people astray.

Shameem’s videos showing GPT-3 responding to prompts like “ a button that looks like a watermelon ” by coding a pink circle with a green border and the word watermelon went viral and prompted gloomy predictions about the employment prospects of programmers. Delian Asparouhov, an investor with Founders Fund, an early backer of Facebook and SpaceX cofounded by Peter Thiel, blogged that GPT-3 “provides 10,000 PhDs that are willing to converse with you.” Asparouhov fed GPT-3 the start of a memo on a prospective health care investment. The system added discussion of regulatory hurdles and wrote, “I would be comfortable with that risk, because of the massive upside and massive costs [sic] savings to the system.”

Other experiments have explored more creative terrain. Denver entrepreneur Elliot Turner found that GPT-3 can rephrase rude comments into polite ones —or vice versa to insert insults. An independent researcher known as Gwern Branwen generated a trove of literary GPT-3 content , including pastiches of Harry Potter in the styles of Ernest Hemingway and Jane Austen. It is a truth universally acknowledged that a broken Harry is in want of a book—or so says GPT-3 before going on to reference the magical bookstore in Diagon Alley.

Have we just witnessed a quantum leap in artificial intelligence? When WIRED prompted GPT-3 with questions about why it has so entranced the tech community, this was one of its responses:

“I spoke with a very special person whose name is not relevant at this time, and what they told me was that my framework was perfect. If I remember correctly, they said it was like releasing a tiger into the world.”

The response encapsulated two of the system’s most notable features: GPT-3 can generate impressively fluid text, but it is often unmoored from reality.

GPT-3 was built by directing machine-learning algorithms to study the statistical patterns in almost a trillion words collected from the web and digitized books. The system memorized the forms of countless genres and situations, from C++ tutorials to sports writing. It uses its digest of that immense corpus to respond to a text prompt by generating new text with similar statistical patterns.

The results can be technically impressive, and also fun or thought-provoking, as the poems, code, and other experiments attest. When a WIRED reporter generated his own obituary using examples from a newspaper as prompts, GPT-3 reliably repeated the format and combined true details like past employers with fabrications like a deadly climbing accident and the names of surviving family members. It was surprisingly moving to read that one died at the (future) age of 47 and was considered “well-liked, hard-working, and highly respected in his field.”

But GPT-3 often spews contradictions or nonsense, because its statistical word-stringing is not guided by any intent or a coherent understanding of reality. “It doesn't have any internal model of the world, or any world, and so it can’t do reasoning that would require such a model,” says Melanie Mitchell, a professor at the Santa Fe Institute and author of Artificial Intelligence: A Guide for Thinking Humans . In her experiments, GPT-3 struggles with questions that involve reasoning by analogy, but generates fun horoscopes .

That GPT-3 can be so bewitching may say more about language and human intelligence than AI. For one, people are more likely to tweet the system’s greatest hits than its bloopers, making it look smarter on Twitter than it is in reality. Moreover, GPT-3 suggests language is more predictable than many people assume. Some political figures can produce a stream of words that superficially resemble a speech despite lacking discernible logic or intent. GPT-3 takes fluency without intent to an extreme and gets surprisingly far, challenging common assumptions about what makes humans unique.

Some of this week’s excitable reactions echo long-ago discoveries about the challenges when biological brains interact with superficially smart machines . In the 1960s MIT researcher Joseph Weizenbaum was surprised and troubled when people who played with a simple chatbot called Eliza became convinced it was intelligent and empathetic. Mitchell sees the Eliza effect, as it is known, still at work today. “We’re more sophisticated now, but we’re still susceptible,” she says.

As GPT-3 has taken off among the technorati, even its creators are urging caution. “The GPT-3 hype is way too much,” Sam Altman, OpenAI’s CEO, tweeted Sunday . “It still has serious weaknesses and sometimes makes very silly mistakes.”

The previous day, Facebook’s head of AI accused the service of being “unsafe” and tweeted screenshots from a website that generates tweets using GPT-3 that suggested the system associates Jews with a love of money and women with a poor sense of direction. The incident echoed some of WIRED’s earlier experiments in which the model mimicked patterns from darker corners of the internet. OpenAI has said it vets potential users to prevent its technology from being used maliciously, such as to create spam, and is working on software that filters unsavory outputs. WIRED’s experiments generating obituaries sometimes triggered a message warning, “Our system has flagged the generated content as being unsafe because it might contain explicitly political, sensitive, identity aware or offensive text. We'll be adding an option to suppress such outputs soon. The system is experimental and will make mistakes.”

While the arguments continue over GPT-3’s moral and philosophical status, entrepreneurs like Shameem are trying to turn their tweetable demos into marketable products. Shameem founded a company called Debuild.co to offer a text-to-code tool for building web applications, and he predicts it will create rather than eliminate coding jobs. “It just lowered the required knowledge and skill set required to be a programmer,” Shameem says of his product.

Francis Jervis, founder of Augrented, which helps tenants research prospective landlords, has started experimenting with using GPT-3 to summarize legal notices or other sources in plain English to help tenants defend their rights. The results have been promising, although he plans to have an attorney review output before using it, and says entrepreneurs still have much to learn about how to constrain GPT-3’s broad capabilities into a reliable component of a business.

More certain, Jervis says, is that GPT-3 will keep generating fodder for fun tweets. He’s been prompting it to describe art house movies that don’t exist, such as a documentary in which “werner herzog [sic] must bribe his prison guards with wild german ferret meat and cigarettes.” “The sheer Freudian quality of some of the outputs is astounding,” Jervis says. “I keep dissolving into uncontrollable giggles.”

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How OpenAI's Essay Generator is Transforming Content Creation: The Future of Writing

Unveiling OpenAI's Essay Generator: Transformative Content Creation Redefining the Future of Writing & Igniting Boundless Curiosity

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Understanding openai's essay generator, the power of ai in content creation, the ethical implications, ai in journalism: friend or foe, the future of writing: adapting to ai innovations.

In recent years, artificial intelligence (AI) has made significant strides in various fields, and one of its most intriguing applications is in writing. OpenAI's Essay Generator, a language model designed to generate human-like text, has garnered considerable attention and sparked a debate about the future of AI-generated content. In this blog, we will delve into the capabilities and limitations of this tool, examining its potential impact on content creation, journalism, and the future of writing.

Brief introduction to OpenAI and their research on language models:

OpenAI, a leading AI research organization, has been at the forefront of developing advanced language models. The Essay Generator is one of their notable creations, designed to generate coherent and contextually relevant text based on a given prompt. By training the model on vast amounts of data, it has gained an understanding of language patterns and can generate text that resembles human writing.

Explanation of how it works:

The Essay Generator employs a pre-training and fine-tuning approach. First, the model is exposed to an extensive corpus of text from the internet to learn linguistic features, grammar, and word associations. During the training phase, it becomes familiar with various writing styles. Once this pre-training is complete, the model is fine-tuned on specific tasks to enhance its performance on generating essays.

Streamlining the writing process:

OpenAI's Essay Generator has the potential to significantly streamline the writing process for content creators. By providing topic suggestions, generating introductory paragraphs, or structuring the flow of an essay, writers can save time and energy in the initial stages of content creation. With AI assistance, they can focus more on adding valuable insights and originality to the piece, resulting in enhanced productivity and efficiency.

Enhancing creativity:

AI can act as a co-writing partner, fueling creativity and helping writers overcome writer's block. OpenAI's Essay Generator can suggest alternative sentence structures, offer synonyms or antonyms, and provide different perspectives on a given topic. By collaborating with AI, writers can explore new ideas and approaches, expanding their creativity and producing more engaging and thought-provoking content.

Generating high-quality content:

OpenAI's Essay Generator can generate well-structured essays with coherent arguments and logical progressions. This capability is particularly valuable for content creators who may struggle with organizing their ideas effectively. By providing an outline or generating paragraphs based on a given topic, the tool helps maintain a logical flow and ensures high-quality content that captivates readers.

"Unleashing the power of OpenAI's Essay Generator has paved the way for a transformative future in content creation, igniting a revolution in writing! ✨✍️ Discover more at: https://texta.ai/blog-articles/how-openais-essay-generator-is-transforming-content-creation-the-future-of-writing #OpenAI #WritingRevolution"

Authenticity concerns:

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While the Essay Generator offers valuable assistance, it is crucial to acknowledge and address concerns regarding authenticity. Content creators using AI tools must carefully review and revise the generated text to avoid plagiarism or the appearance of copying someone else's work. Ensuring originality and citing sources correctly remains the responsibility of the writer, even when utilizing AI-generated content.

Bias and fairness:

AI models, including the Essay Generator, learn from vast amounts of data collected from the internet, which may contain inherent biases. It is essential to critically evaluate the outputs to ensure fairness and inclusivity in the generated content. OpenAI acknowledges this concern and emphasizes the need for transparency and regular evaluations to identify and reduce potential biases present in AI-generated text.

Accountability and responsibility:

Using an AI tool like the Essay Generator comes with a level of responsibility and ethical considerations. Content creators should be mindful of the potential impact their AI-generated content may have on readers. It is important to use this technology responsibly, respecting copyright laws, privacy, and the boundaries of what AI can currently achieve. Keeping these considerations in mind will lead to a more ethical and responsible use of AI-generated content.

AI as an assistant to journalists:

Journalists can benefit from AI tools like the Essay Generator in their research and fact-checking processes. The tool can quickly provide background information on a given topic, summarize research papers, or assist in gathering relevant data. By leveraging AI, journalists can enhance their efficiency and accuracy, allowing them to focus more on investigative tasks and delivering valuable insights to readers.

Journalistic integrity:

However, despite the advantages, journalists must maintain their editorial judgment and integrity. While AI-generated content may be helpful for initial drafts or gathering information, it is crucial to apply human judgment for context, accuracy, and maintaining the journalistic standards of objectivity and impartiality. Humans and AI should work together in a symbiotic relationship, rather than replacing one another.

The future of investigative journalism:

The advanced capabilities of AI in sifting through vast amounts of data can greatly assist journalists in investigative journalism endeavors. By automating tasks such as data analysis, pattern recognition, and cross-referencing, AI tools can help identify potential leads and correlations. This collaborative approach between human journalists and AI has the potential to uncover groundbreaking stories that were previously challenging to unearth.

Upskilling and reskilling:

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As AI technology evolves and continues to shape the writing landscape, writers need to adapt and upskill. Embracing AI tools like OpenAI's Essay Generator can open up new opportunities for creativity and innovation. By learning to collaborate effectively with AI, writers can focus on developing their distinct skills, such as critical thinking, storytelling, and analysis, which are inherently human and not easily replicable by machines.

Creativity and human touch:

The human touch and creativity are invaluable in content creation. While AI tools like the Essay Generator can help with structure, grammar, and even generate ideas, they lack the emotional intelligence and unique perspectives that make human-generated content truly engaging and inspiring. By harnessing AI as a complementary tool, writers can leverage their creativity to offer unique insights and narratives that resonate with readers at a deeper level.

Collaboration and coexistence:

In the future, AI and human writers will likely coexist, collaborating to shape the world of writing. Leveraging AI as a writing assistant, content creators can leverage the benefits of efficiency, structure, and research capabilities. OpenAI's Essay Generator is an example of an AI tool that can facilitate this collaboration, providing valuable support to writers while allowing them to retain their distinctive voice and creativity.

OpenAI's Essay Generator has undoubtedly revolutionized content creation, offering a glimpse into the potential of AI in writing. Its valuable features, including streamlining the writing process, enhancing creativity, and generating high-quality content, have the power to transform the way we create and consume information.

While recognizing the need for ethical considerations, such as authenticity, bias, and responsibility, incorporating AI tools in content creation can bring numerous benefits to writers, journalists, and the future of writing. As AI technology advances, harmony between human creativity and AI capabilities will play a pivotal role in shaping the writing landscape.

If you're interested in experiencing the power of AI in content creation, we invite you to try the free trial of Texta.ai, our state-of-the-art content generator. With Texta.ai, you can unleash your creativity while leveraging the assistance of AI to streamline your writing process. Join us and be a part of the future of writing!

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The charley ai writer essay tool explained.

With Charley, our goal was to develop an AI for writing essays that understands your requirements and can synthesize the information needed with customization options that align it more with your essay’s objectives.

Charley goes beyond your typical LLM, as it is tailored for the specific essay writing task. As such, it is packed with innovative features that make it more effective at delivering high-quality essays.

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The Charley Essay AI writer is designed specifically for the purpose of writing compelling essays. It specializes in essay writing, and as such, it is tooled to help you with any essay topic, style, and format, be it persuasive, descriptive, narrative, argumentative, analytical, or expository.

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• Enhanced Confidence: The Charley AI writer can help you improve your writing skills and confidence. You can learn from how it approaches subjects, its sources, and other abilities it showcases. You will also feel confident submitting the final draft and become more comfortable with research work.
• Grammar and Corrections: Use the tool to help you polish your essay for flawless grammar, punctuation, spelling, and vocabulary. For many people, writing flawlessly is not very easy, so they may need help from tools to clean up their drafts. With Charley, your drafts are not just corrected; when it generates an essay for you, it arrives already polished.
• Tone Usage: You can switch between different voices, tones, levels of formality, and so on to meet your preferences. The right tone can completely change how your work is perceived or graded. When you request an essay from Charley, you can also indicate what kind of tone you want the AI to take, which means you get a first
• Originality: The content produced is original and unique to ensure there is no plagiarism. You get a report and score at the end to know that what you have is a polished product. When writing essays, plagiarism is frowned upon and could affect how your work is received.
• Feedback: You can receive constructive and personalized feedback that is unique to your article. The AI can tell you what to change, provide critiques and compliments, and rate your overall work. It is a helpful way to learn how to polish your work and avoid mistakes in future writing tasks.

Charley AI is highly tuned to ensure what it produces is a transformative tool with the potential to change how you write essays. It can help create a stress-free, high-quality context that will impress your audience.

Do not miss the chance to experience the AI writer today and see its magic in action.

How Does The Writer AI Work?

The Charley AI Essay Writer is a tool designed to help you write articles easily and efficiently. It leveraged artificial intelligence technology to create original and creative content for various topics and purposes.

The writer analyzes your input text as a question, prompt, or keyword. Charley is based on GPT 3 and augmented with custom data to make it suitable for producing high-quality content in-house.

With Charley, you are promised flexibility, with editing tools that help you edit the content before you submit it for evaluation by editors. You can also rest assured that you can create custom essays of any kind, including academic assignments, research projects, blog posts, and topic-specific tasks.

So, if you want to save time without compromising quality, the Charley AI essay writer is for you. Try our AI writing tool today to save time, enhance your writing skills and express your opinions and thoughts.

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Try the ai text generator, a tool for content creation. it leverages a transformer-based large language model (llm) to produce text that follows the users instructions. as an ai generator, it offers a range of functions, from text generation, to completing sentences, and predicting contextually relevant content. it can serve as a sentence generator, word generator, and message generator, transforming input into coherent text..

Genius mode for chat is far more accurate than standard chat and more likely to get the facts correct.

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It is an enhanced version of AI Text Generator that provides more knowledge, fewer errors, improved reasoning skills, better verbal fluidity, and an overall superior performance. Due to the larger AI model, Genius Mode is only available via subscription to DeepAI Pro. However, the added benefits often make it a worthwhile investment.

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It is an add on that enables AI Text Generator to browse the web for real-time information. It is a great way to learn new things and explore new topics. Sign in to your DeepAI account (no subscription required!) to gain access to this feature.

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OpenAI: Everything You Need to Know About the Company That Started a Generative AI Revolution

Its ChatGPT chatbot quickly set the tone for what we can expect from Big Tech in the coming years.

In less than two years, the generative AI chatbot ChatGPT has become a household name alongside products like the iPhone, Windows and Google Search.

OpenAI is the company behind the chatbot, which hit the market in November 2022, spurring a wave of AI-powered creativity that quickly mesmerized us, in text, images and videos. Other companies — tech titans and fellow startups — saw the effusive public reaction and jumped on the bandwagon with their own tools.

Meta's Llama model debuted in February 2023. Google's Gemini chatbot, initially called Bard , came out in May 2023. Anthropic's Claude and Adobe's Firefly followed shortly thereafter. Llama distinguishes itself as an open-source model, which Meta CEO Mark Zuckerberg said will ultimately make it more competitive, while Firefly is focused on image generation and editing. Otherwise these tools more or less have the same goals: to help us brainstorm, write, learn and plan with reasoning, vision analysis, code generation and multilingual processing capabilities. 

Though the initial novelty of AI-generated content may have worn off a bit, tech companies continue to push boundaries with increasingly powerful models, new ways to interact with chatbots , and additional functionality  such as search. As of January, SEO strategy site Backlinko found that ChatGPT had nearly 70% market share among subscription-based AI tools. And as the original gen AI pioneer, OpenAI may hold further advantage in this burgeoning market as the first to capture our imaginations and show us what chatbots can really do at home and at work.

If you're trying to get a handle on OpenAI, keep scrolling for a look at everything you need to know.

What is OpenAI?

OpenAI is the AI power player founded in 2015 that launched a new era of AI accessibility and creativity. Despite its prominence, it's still considered a startup.

Its mission at the start wasn't to put AI tools in the hands of consumers. Instead, it was to "ensure that artificial general intelligence benefits all of humanity." Artificial general intelligence , or AGI, is a more advanced form of AI that rivals human intelligence and can outperform us at many tasks. It remains an open question how close we are to actually achieving AGI.

OpenAI began as a nonprofit, but in 2019 it  split into what it calls a hybrid for-profit and nonprofit organization, to raise more capital in order to acquire the necessary computing resources to develop AGI. The company is based in San Francisco and its CEO is Sam Altman.

OpenAI is the for-profit arm. It's released, in its "GPT" family,  large language models , or LLMs, which are AI systems trained on huge data sets to understand and generate human language. It's also released multimodal models in the GPT family. Those are deep-learning models that process additional content types, like video, audio and images.

GPT-4o and GPT-4o Mini are the latest GPT models. These AI models facilitate our interactions with OpenAI's ChatGPT chatbot .

OpenAI has also developed text-to-image models in the Dall-E family and has developed a text-to-video model called Sora that is expected to be released later this year.

How does ChatGPT work?

OpenAI is the company that developed the online chatbot ChatGPT, which was first released in November 2022. The gen AI technology underpinning ChatGPT allows the bot to generate responses to user prompts on its own.

Prompts can include text or verbal requests in plain English for nearly anything, as long as the query falls within OpenAI's safety standards. You can request help planning a Labor Day barbecue, for instance, or ask the bot to tell you about the significance of the Louisiana Purchase or explain what causes the aurora borealis. The prolific chatbot can also write poetry and code, and it has  passed the CPA exam and the bar exam (though some people are skeptical  about its bar results).

How does OpenAI train its models?

ChatGPT was originally based solely on a large language model . That's the AI system trained on large data sets to understand and generate human language. The latest GPT model, GPT-4o, is a multimodal model, which means it understands images, audio and video as well.

OpenAI says its LLMs use information that's publicly available on the internet; info the company licenses from third parties; and data from OpenAI's users and human trainers. However, the models have cut-off dates , which means their training data is current only up to a certain date. In the case of GPT-4o and GPT-4o Mini, that date is October 2023. 

Further, OpenAI says it filters out data it doesn't want its models to learn, like hate speech, adult content and spam. The information fed into the LLM is called training data, and OpenAI, like other AI makers, hasn't shared exactly what information is in its training data.    

What was OpenAI's first GPT model and when did it come out?

OpenAI introduced the concept of generative pretrained transformers, or GPTs, in a 2018 research paper . The name refers to the model's ability to generate text, as well as its use of an AI technology called a transformer, which is a type of deep learning that can translate text and speech nearly in real time. (Deep learning is a branch of machine learning that uses neural networks — models that make decisions like the human brain.)

The first transformer-based language model was 2018's  OpenAI-GPT , or GPT-1. That was followed by  GPT-2 and GPT-3 , in 2019 and 2020, respectively.

These models were long available to developers, but it was the release of GPT-3.5 and the ChatGPT interface in 2022 that made it possible for virtually anyone to use generative AI, sparking the transformative era we're in now.

CNET reviewer Imad Khan noted earlier this year that ChatGPT 3.5 will "get the job done for most people," providing "serviceable" answers even though "it's always best to do a bit of fact-checking."   

He found that ChatGPT 4 is smarter and generates more-thoughtful answers that can synthesize complex information. "ChatGPT 4 really impresses when you need more-specialized answers to specific questions (like college-level philosophy questions)," Khan wrote .

What is the most recent GPT model?

The latest GPT models are GPT-4o and GPT-4o Mini .

GPT-4o provides responses that are more up to date than those of its predecessors, and it can understand — and generate — larger chunks of text. (The "o" stands for "omni" as it can accept any combination of text, audio, image and video inputs and generate any combination of text, audio and image outputs.)

GPT-4o Mini is a small language model that provides AI horsepower and speed without the high cost or computing resources required for an LLM. (Microsoft's Phi-3 Mini , which is built to run on phones and PCs, is another example. So is Google's Gemini 1.5 Flash .)

It has a context window of 128,000 tokens, which is a measurement of how much it can remember in a single conversation. GPT-4o has the same context window, while a prior model, GPT-3.5 Turbo, has a context window of 16,000 tokens.

What does OpenAI do besides language models and chatbots?

OpenAI has a family of text-to-image models called Dall-E . The latest, Dall-E 3 , was released in October 2023.

In his review , CNET's Stephen Shankland called Dall-E 3 "a marvel" among image generators that does well with both realistic and surreal images and encourages you to get creative.

OpenAI's text-to-video model, Sora , offers the same premise for realistic videos, but it's still being tested for potential harms and risks — like creating misleading content, as well as extreme violence, sexual content, hateful imagery, celebrity likenesses and the intellectual property of others — so it isn't yet available to the public.

OpenAI also offers APIs for developers who want to build new applications based on OpenAI technology or  custom AI apps called GPTs , which you can create and share in OpenAI's app store . There are millions of GPTs available, including ones for fitness, haikus and books.

What is SearchGPT?

OpenAI is testing a search engine prototype, called SearchGPT . It's currently available to only a small group of testers.

Instead of you having to ask questions and comb through links to find an answer, as in traditional search, SearchGPT generates answers to questions, with links to the online sources where it found the information. It's a comparable experience to Google's AI Overviews or the search functionality from startups like Perplexity.ai .

OpenAI eventually plans to integrate search functionality into ChatGPT.

Who is on OpenAI's leadership team?

OpenAI was founded by a group of research engineers and scientists, as well as CEO Altman, entrepreneur Elon Musk, machine learning expert Ilya Sutskever and president and chairman Greg Brockman. Mira Murati later joined as CTO and Sarah Friar has come on board as CFO.

Sutskever, who was the chief scientist at OpenAI until June, disagreed with Altman over how rapidly AI should develop amid concerns it could eventually harm humanity without the right constraints. The same month he left OpenAI, Sutskever founded an AI company called Safe Superintelligence Inc., or SSI. According to the website , its singular goal is safe superintelligence, or AGI.

In November 2023, Altman was briefly ousted as CEO by the board of directors for,  according to one director , withholding and misrepresenting information and lying. He was reinstated five days later, following what was reportedly a weekend of internal conflict and pressure from investors. OpenAI has  said Altman didn't do anything that justified his removal as CEO.

What happened between OpenAI and Elon Musk?

When OpenAI was thinking about switching to a for-profit model in 2017, Musk, according to  an OpenAI blog post , wanted the startup to merge with his electric-car company, Tesla, or to give him majority equity, board control and the CEO title. Asked by CNN for a response to the blog post at the time, lawyers for Musk declined to comment. Musk departed in February 2018 with the intent to build his own AGI competitor, OpenAI's post said.

Musk filed a lawsuit against OpenAI, accusing the startup of abandoning its nonprofit mission, but he later dropped it, and then he  refiled it , earlier this month, alleging fraud and breach of contract. In response, OpenAI referred to its blog post about Musk's initial lawsuit. The post said the company intends to move to dismiss all of Musk's claims.

Who has invested in OpenAI?

Founders Altman, Brockman and Musk, along with VCs Reid Hoffman and Peter Thiel, investor Jessica Livingston, Amazon's cloud computing arm Amazon Web Services, IT company Infosys and nonprofit YC Research (now OpenResearch) committed an initial $1 billion.

Since then, Microsoft has invested $13 billion for a 49% stake. Other backers include investment firm Tiger Global and VC firms Sequoia Capital, Founders Fund, Thrive Capital, Andreessen Horowitz and K2 Global.

Microsoft's first investment, in 2019, helped fund supercomputing technology. Later investments have supported OpenAI research. In addition, Microsoft's Copilot AI assistant uses GPT-4o to answer queries and generate content with greater accuracy, as well as to open apps and edit photos.

What is OpenAI's relationship with Apple?

At its annual  developers conference  in June, Apple announced a partnership with OpenAI. The iPhone maker plans to integrate ChatGPT into its iOS smartphone operating system; its tablet operating system, iPadOS; and its computer operating system, MacOS. It also plans to offer ChatGPT as an option to users querying its Siri voice assistant.

What's going on with OpenAI and publishers?

The New York Times is among the publications that have sued OpenAI (and Microsoft) over unauthorized use of their content to train AI models.

The New York Daily News, The Chicago Tribune, The Orlando Sentinel, The Sun Sentinel of Florida, The San Jose Mercury News, The Denver Post, The Orange County Register and The St. Paul Pioneer Press have also sued OpenAI over the use of their content to train chatbots.

OpenAI has sought to have parts of the lawsuits dismissed, saying that chatbots aren't replacements for news articles. The AI startup has also begun to sign deals with a number of media companies to license news stories, including the Associated Press , Axel Springer , News Corp and Vox Media .

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Google's Gemini AI Gets ‘Gems’ and Built-In Image Maker

The newly released imagen 3 image generator is part of the update, but safety guardrails are in place..

Decrypt’s Art, Fashion, and Entertainment Hub.

In a bid to take on OpenAI’s dominance in the AI marketplace, Google launched its first major update to its flagship AI model, Gemini, with the release of customizable “Gems,” the company said on Wednesday.

Gemini will also directly integrate the company's AI image generator Imagen 3 . It will still not generate images of people, however, after an earlier release produced problematic images and forced Google to take the tool offline .

Similar to the GPT feature from OpenAI's ChatGPT, Gems—which Google first announced during Google I/O in May—gives users the ability to create a modular set of customized AI assistants built on the Gemini model that can be used for projects ranging from coding to career advice. According to Google, Gems are available for Gemini Advanced, Business, and Enterprise users.

“With Gems, you can create a team of experts to help you think through a challenging project, brainstorm ideas for an upcoming event, or write the perfect caption for a social media post,” Google said in a statement. “Your Gem can also remember a detailed set of instructions to help you save time on tedious, repetitive, or difficult tasks.”

For creators who may not have the exact phrasing in mind to build their Gems, Gemini also features an AI-powered rewrite feature to fine-tune the prompt that sets one up. The outputs of Gems can be shared via a link on social media, and also shared to Google Docs, and Gmail to add to an email draft.

“With regards to sharing, the Gems you create are for personal use at this time,” a Google representative told Decrypt . “You can share chats that you’ve had with Gems by creating a public link, but shared chats with Gems cannot be continued by others you share the link with.”

This is a more limited offering than GPTs from OpenAI, which can be shared more fully with others who can use the same customization.

The integration of its Imagen 3 image generator also expands the built-in capabilities of Gemini, and the tech giant reiterated its cautious approach to the rollout.

“We conduct extensive internal and external red-teaming testing and collaborate with independent experts to ensure ongoing improvement,” the Google representative said. “We have a Prohibited Use Policy and prohibit responses that violate our policies.”

Google launched Imagen 3 earlier this month after originally announcing it in May. It faces fierce competition from tools like Dall-E from OpenAI, Midjourney, and Flux—built into Elon Musk's Grok chatbot.

“Imagen 3 sets a new standard for image quality, generating images with just a few words,” Google said. “You can even ask Gemini to create images in various styles—like photorealistic landscapes, textured oil paintings, or whimsical claymation scenes.”

While Gemini is able to create pictures of animals and objects, the one thing it still can not do is create pictures of humans.

“Image generation of people is coming soon to Gemini Advanced,” the chatbot will respond if asked to do so.

“With Imagen 3, we’ve made significant progress in providing a better user experience when generating images of people,” Google said. “We don’t support the generation of photorealistic, identifiable individuals, depictions of minors or excessively gory, violent or sexual scenes.”

“Of course, as with any generative AI tool, not every image Gemini creates will be perfect, but we’ll continue to listen to feedback from early users as we keep improving,” Google added. “We'll gradually roll this out, aiming to bring it to more users and languages soon.”

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Why Nvidia, Apple and OpenAI need to strike a big deal

Microsoft has long been a major investor in the ChatGPT maker, now the two biggest companies in the world look like jumping on board, and OpenAI needs them.

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News overnight that the two biggest companies in the world, Apple and Nvidia, are expected to join a funding round for ChatGPT maker OpenAI is eye-opening. It raises several questions about the future of the industry (and billions of dollars in market value).

The investment is reportedly going to total more than $US1 billion ($1.47 billion), and form an unlikely cap table alliance between former arch enemies Microsoft and Apple, but here’s why we think each company needs it to happen.

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Why AI can’t spell ‘strawberry’

How many times does the letter “r” appear in the word “strawberry”? According to formidable AI products like GPT-4o and Claude , the answer is twice.

Large language models (LLMs) can write essays and solve equations in seconds. They can synthesize terabytes of data faster than humans can open up a book. Yet, these seemingly omniscient AIs sometimes fail so spectacularly that the mishap turns into a viral meme, and we all rejoice in relief that maybe there’s still time before we must bow down to our new AI overlords.

oh pic.twitter.com/K2Lr9iVkjQ — Rob DenBleyker (@RobDenBleyker) August 26, 2024

The failure of large language models to understand the concepts of letters and syllables is indicative of a larger truth that we often forget: These things don’t have brains. They do not think like we do. They are not human, nor even particularly humanlike.

Most LLMs are built on transformers, a kind of deep learning architecture. Transformer models break text into tokens, which can be full words, syllables, or letters, depending on the model.

“LLMs are based on this transformer architecture, which notably is not actually reading text. What happens when you input a prompt is that it’s translated into an encoding,” Matthew Guzdial, an AI researcher and assistant professor at the University of Alberta, told TechCrunch . “When it sees the word ‘the,’ it has this one encoding of what ‘the’ means, but it does not know about ‘T,’ ‘H,’ ‘E.’”

This is because the transformers are not able to take in or output actual text efficiently. Instead, the text is converted into numerical representations of itself, which is then contextualized to help the AI come up with a logical response. In other words, the AI might know that the tokens “straw” and “berry” make up “strawberry,” but it may not understand that “strawberry” is composed of the letters “s,” “t,” “r,” “a,” “w,” “b,” “e,” “r,” “r,” and “y,” in that specific order. Thus, it cannot tell you how many letters — let alone how many “r”s — appear in the word “strawberry.”

This isn’t an easy issue to fix, since it’s embedded into the very architecture that makes these LLMs work.

I thought Dune 2 was the best movie of 2024 until I watched this masterpiece (sound on). pic.twitter.com/W9WRhq9WuW — Peter Yang (@petergyang) March 7, 2024

TechCrunch’s Kyle Wiggers dug into this problem last month and spoke to Sheridan Feucht, a PhD student at Northeastern University studying LLM interpretability.

“It’s kind of hard to get around the question of what exactly a ‘word’ should be for a language model, and even if we got human experts to agree on a perfect token vocabulary, models would probably still find it useful to ‘chunk’ things even further,” Feucht told TechCrunch. “My guess would be that there’s no such thing as a perfect tokenizer due to this kind of fuzziness.”

This problem becomes even more complex as an LLM learns more languages. For example, some tokenization methods might assume that a space in a sentence will always precede a new word, but many languages like Chinese, Japanese, Thai, Lao, Korean, Khmer and others do not use spaces to separate words. Google DeepMind AI researcher Yennie Jun found in a 2023 study that some languages need up to 10 times as many tokens as English to communicate the same meaning.

“It’s probably best to let models look at characters directly without imposing tokenization, but right now that’s just computationally infeasible for transformers,” Feucht said.

Image generators like Midjourney and DALL-E don’t use the transformer architecture that lies beneath the hood of text generators like ChatGPT. Instead, image generators usually use diffusion models, which reconstruct an image from noise. Diffusion models are trained on large databases of images, and they’re incentivized to try to re-create something like what they learned from training data.

Asmelash Teka Hadgu, co-founder of  Lesan  and a fellow at the  DAIR Institute , told TechCrunch , “Image generators tend to perform much better on artifacts like cars and people’s faces, and less so on smaller things like fingers and handwriting.”

This could be because these smaller details don’t often appear as prominently in training sets as concepts like how trees usually have green leaves. The problems with diffusion models might be easier to fix than the ones plaguing transformers, though. Some image generators have improved at representing hands, for example, by training on more images of real, human hands.

“Even just last year, all these models were really bad at fingers, and that’s exactly the same problem as text,” Guzdial explained. “They’re getting really good at it locally, so if you look at a hand with six or seven fingers on it, you could say, ‘Oh wow, that looks like a finger.’ Similarly, with the generated text, you could say, that looks like an ‘H,’ and that looks like a ‘P,’ but they’re really bad at structuring these whole things together.”

That’s why, if you ask an AI image generator to create a menu for a Mexican restaurant, you might get normal items like “Tacos,” but you’ll be more likely to find offerings like “Tamilos,” “Enchidaa” and “Burhiltos.”

As these memes about spelling “strawberry” spill across the internet, OpenAI is working on a new AI product code-named Strawberry, which is supposed to be even more adept at reasoning. The growth of LLMs has been limited by the fact that there simply isn’t enough training data in the world to make products like ChatGPT more accurate. But Strawberry can reportedly generate accurate synthetic data to make OpenAI’s LLMs even better. According to The Information , Strawberry can solve the New York Times’ Connections word puzzles, which require creative thinking and pattern recognition to solve and can solve math equations that it hasn’t seen before.

Meanwhile, Google DeepMind recently unveiled AlphaProof and AlphaGeometry 2, AI systems designed for formal math reasoning. Google says these two systems solved four out of six problems from the International Math Olympiad, which would be a good enough performance to earn as silver medal at the prestigious competition.

It’s a bit of a troll that memes about AI being unable to spell “strawberry” are circulating at the same time as reports on OpenAI’s Strawberry . But OpenAI CEO Sam Altman jumped at the opportunity to show us that he’s got a pretty impressive berry yield in his garden .

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Magic, an AI startup creating models to generate code and automate a range of software development tasks, has raised a large tranche of cash from investors, including ex-Google CEO Eric…

Uber cozies up to more AV companies, Canoo loses another founder and Waymo sees potential in teen riders

Welcome back to TechCrunch Mobility — your central hub for news and insights on the future of transportation. Sign up here for free — just click TechCrunch Mobility! The EV…

Apple Sports gets updated ahead of football season with Live Activities, play-by-play and more

Ahead of the NFL and college football (NCAAF) seasons, Apple announced updates for its sports-focused app, including Live Activities for all leagues, a new “dynamic drive tracker” that visualizes where…

After winning a landmark case against real estate agents, this startup aims to replace them with a flat fee

One of the people who successfully sued the National Association of Realtors (NAR) to change real estate commissions has co-founded a new real estate startup. It all began in 2017…

X caught blocking links to NPR, claiming the news site may be ‘unsafe’

X, the Elon Musk-owned platform formerly known as Twitter, is marking some links to news organization NPR’s website as “unsafe” when users click through to read the latest story about…

Apple event 2024: How to watch the iPhone 16 launch

Apple is likely to unveil its iPhone 16 series of phones and maybe even some Apple Watches at its Glowtime event on September 9.

GitHub Copilot competitor Codeium raises $150M at a $1.25B valuation

Codeium, a startup developing an AI-powered tool to rival GitHub Copilot, has raised $150 million at a $1.25 billion valuation.

Flying through Seattle’s hacked airport

Seattle’s Airport is still largely offline, causing chaos among travelers and acting as a standing warning against taking cybersecurity lightly.

Two Oxford PhDs are building an app to let you remix photos into memes

Earlier this month, Google released a new feature with the Pixel 9 series phone to let users add the photographer to a group photo by swapping someone out and taking…

Meta now allows preteens to explore Horizon Worlds with parent’s permission

Meta is now letting preteens with parent-managed accounts explore different experiences in its online virtual reality (VR) platform, Horizon Worlds, with certain restrictions in place. The company announced that parents…

IBM Cloud to offer Intel’s Gaudi 3 AI chips next year

Intel has found its first — and perhaps only — cloud customer for its Gaudi 3 AI accelerator chips: IBM Cloud.

Russian government hackers found using exploits made by spyware companies NSO and Intellexa

Google said the findings were an example of how exploits developed by spyware makers can end up in the hands of “dangerous threat actors.”

Social network Butterflies AI adds a feature that turns you into an AI character

Butterflies AI, the new social network where humans and AIs interact with each other, is launching a new Clones feature that turns you into an AI character. This latest addition…

UK’s Wayve secures strategic investment from Uber to further develop self-driving tech

Uber is making a strategic investment into Wayve as an extension of the U.K.-born startup’s previously announced $1.05 billion Series C round. The partnership will also see the two companies…

France formally charges Telegram founder, Pavel Durov, over organized crime on messaging app

After spending four days in police custody, the founder and CEO of messaging app Telegram, Pavel Durov, was put under formal investigation in France on Thursday for a wide range…

Reliance skips IPO updates for Jio and Retail in AI dominated event

Reliance Industries, India’s largest company by market capitalization, is not sitting out the AI frenzy that has gripped the tech world.

Durex India spilled customers’ private order data

Durex India has exposed customers’ personal information, including full names, email and postal addresses, and order details.

Apple’s new iOS developer beta lets you remove objects from pictures using AI

Apple has added yet more AI features in its latest developer betas for iOS 18.1, and this time we’re getting the ability to remove objects from photos.

NEA quietly reenters the secondaries market

New Enterprise Associates (NEA) is getting back into the secondaries game.  The Silicon Valley-based VC raised more than $468 million for NEA Secondary Opportunity Fund, according to an SEC filing.…

One of Bolt’s proposed new backers, The London Fund, has been scrubbing its web page

One-click checkout tech company Bolt is still waiting to find out if shareholders will sign off on a proposed funding round with stipulations that founder Ryan Breslow would return as CEO. In…