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Write a response to this email...

Write a poem about...

What's an easy-to-make vegan recipe?

Tell me a knock, knock joke

Aliens land on Earth, but they're only here to challenge humans to a dance-off. Describe the event.

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How AI Works

Learn more about the new technology driving the large changes in AI, featuring two new videos on Large Language Models (like ChatGPT) and Generative AI. Hear how these new technologies work directly from the experts: Mira Murati, CTO of OpenAI, and Cristóbal Valenzuela, CEO of RunwayML.

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Discover the groundbreaking world of artificial intelligence (AI) and its transformative potential in education with our foundational online learning series for teachers.

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School AI provides hundreds of ready-to-launch activities for your students. You can also create your own activities, completely customized to your classes needs. Sign up today and start building!

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Meet Spaces: AI Powered Activities and Tutors for K12 Students

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Captivate students with supervised AI-powered activities personalized to your classroom.

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Talk with Claude, an AI assistant from Anthropic

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AI 101 for Teachers

Code.org, ETS, ISTE and Khan Academy are partnering to bring educators a professional learning series that supports teachers as they adapt to AI's impacts on the classroom.

This is a free, foundational online learning series for any teacher and educator interested in the groundbreaking world of artificial intelligence (AI) and its transformative potential in education. Partners Code.org, ETS, ISTE and Khan Academy are offering engaging sessions with renowned experts that will demystify AI, explore responsible implementation, address bias, and showcase how AI-powered learning can revolutionize student outcomes. Join us on this journey of exploration and empowerment, and unlock the future of teaching with and about AI.

Explore sessions

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Learn about artificial intelligence (AI) | Code.org

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Tools to help students and teachers bring AI into the classroom.

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Anyone can learn computer science. Make games, apps and art with code.

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ChatGPT is your AI chatbot for everyday use. Chat with the most advanced AI to explore ideas, solve problems, and learn faster.

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Teachers College Digital Futures Institute (DFI)

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Teachers College Digital Futures Institute (DFI) is an interdisciplinary hub for digital innovation, with a mission to advance more just social futures that is driven by research, pedagogy, and public engagement.

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MagicSchool.ai - AI for teachers - lesson planning and more!

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Join over a million teachers saving hours of time using the #1 AI Platform for Education, MagicSchool, to help lesson plan, differentiate, write assessments, write IEPs, communicate clearly, and more!

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Philip Seyfried

seyfried@tc.columbia.edu

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Day of AI is a free, hands-on curriculum of lessons and activities designed to introduce K-12 students to artificial intelligence (AI) and how it shapes their lives.

The Day of AI curriculum was developed by a team of researchers at MIT RAISE, and designed to be taught by educators with little or no technology background. These resources are free, Creative Commons-licensed, and made to be accessible to students of all backgrounds and abilities. Activities are organized by age group (elementary, middle school, and high school) and can be run in 30-minute to 1-hour time blocks. Teachers who register for Day of AI get access to the curriculum and lesson plans as well as optional free professional development training on the materials with i2 Learning, with a certificate of completion that may be used for PD credits.

On Thursday, May 18, join a community of educators around the world in a Day of AI celebration: share your class's projects, posters, photos, and videos, host a discussion, or create your own unique festivity. Stay tuned for details on how to share your class's participation or join one of our Day of AI events.

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Day of AI is a free, hands-on curriculum of lessons and activities designed to introduce K-12 students to artificial intelligence (AI) and how it shapes t...

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Exploring Forms of Feedback with AI - IT Teaching Resources

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Exploring Forms of Feedback with AI - IT Teaching Resources

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Cathy Chase, Senior Research Scholar at the Stanford Accelerator for Learning, will be our guide as we delve deep into various feedback types and explore how to craft prompts that evoke valuable responses from AI models.

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Artificial Intelligence in Edu Research Study

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November 4, 2023 Grok is an AI modeled after the Hitchhiker's Guide to the Galaxy, so intended to answer almost anything and, far harder, even suggest what questions to ask!
Grok is designed to answer questions with a bit of wit and has a rebellious streak, so please don't use it if you hate humor!

A unique and fundamental advantage of Grok is that it has real-time knowledge of the world via the 𝕏 platform. It will also answer spicy questions that are rejected by most other AI systems.

Grok is still a very early beta product - the best we could do with 2 months of training - so expect it to improve rapidly with each passing week with your help.

Thank you,
the xAI Team

Why we are building Grok

At xAI, we want to create AI tools that assist humanity in its quest for understanding and knowledge.

By creating and improving Grok, we aim to:

Gather feedback and ensure we are building AI tools that maximally benefit all of humanity. We believe that it is important to design AI tools that are useful to people of all backgrounds and political views. We also want empower our users with our AI tools, subject to the law. Our goal with Grok is to explore and demonstrate this approach in public.

Empower research and innovation: We want Grok to serve as a powerful research assistant for anyone, helping them to quickly access relevant information, process data, and come up with new ideas.

Our ultimate goal is for our AI tools to assist in the pursuit of understanding.

The journey to Grok-1

The engine powering Grok is Grok-1, our frontier LLM, which we developed over the last four months. Grok-1 has gone through many iterations over this span of time.

After announcing xAI, we trained a prototype LLM (Grok-0) with 33 billion parameters. This early model approaches LLaMA 2 (70B) capabilities on standard LM benchmarks but uses only half of its training resources. In the last two months, we have made significant improvements in reasoning and coding capabilities leading up to Grok-1, a state-of-the-art language model that is significantly more powerful, achieving 63.2% on the HumanEval coding task and 73% on MMLU.

To understand the capability improvements we made with Grok-1, we have conducted a series of evaluations using a few standard machine learning benchmarks designed to measure math and reasoning abilities.

GSM8k: Middle school math word problems, (Cobbe et al. 2021), using the chain-of-thought prompt.

MMLU: Multidisciplinary multiple choice questions, (Hendrycks et al. 2021), provided 5-shot in-context examples.

HumanEval: Python code completion task, (Chen et al. 2021), zero-shot evaluated for pass@1.

MATH: Middle school and high school mathematics problems written in LaTeX, (Hendrycks et al. 2021), prompted with a fixed 4-shot prompt.

On these benchmarks, Grok-1 displayed strong results, surpassing all other models in its compute class, including ChatGPT-3.5 and Inflection-1. It is only surpassed by models that were trained with a significantly larger amount of training data and compute resources like GPT-4. This showcases the rapid progress we are making at xAI in training LLMs with exceptional efficiency.

Since these benchmarks can be found on the web and we can't rule out that our models were inadvertently trained on them, we hand-graded our model (and also Claude-2 and GPT-4) on the 2023 Hungarian national high school finals in mathematics, which was published at the end of May, after we collected our dataset. Grok passed the exam with a C (59%), while Claude-2 achieved the same grade (55%), and GPT-4 got a B with 68%. All models were evaluated at temperature 0.1 and the same prompt. It must be noted that we made no effort to tune for this evaluation. This experiment served as a "real-life" test on a dataset our model was never explicitly tuned for.

We provide a summary of the important technical details of Grok-1 in the model card.

Engineering at xAI

At the frontier of deep learning research, reliable infrastructure must be built with the same care as datasets and learning algorithms. To create Grok, we built a custom training and inference stack based on Kubernetes, Rust, and JAX.

LLM training runs like a freight train thundering ahead; if one car derails, the entire train is dragged off the tracks, making it difficult to set upright again. There are a myriad of ways GPUs fail: manufacturing defects, loose connections, incorrect configuration, degraded memory chips, the occasional random bit flip, and more. When training, we synchronize computations across tens of thousands of GPUs for months on end, and all these failure modes become frequent due to scale. To overcome these challenges, we employ a set of custom distributed systems that ensure that every type of failure is immediately identified and automatically handled. At xAI, we have made maximizing useful compute per watt the key focus of our efforts. Over the past few months, our infrastructure has enabled us to minimize downtime and maintain a high Model Flop Utilization (MFU) even in the presence of unreliable hardware.

Rust has proven to be an ideal choice for building scalable, reliable, and maintainable infrastructure. It offers high performance, a rich ecosystem, and prevents the majority of bugs one would typically find in a distributed system. Given our small team size, infrastructure reliability is crucial, otherwise, maintenance starves innovation. Rust provides us with confidence that any code modification or refactor is likely to produce working programs that will run for months with minimal supervision.

We are now preparing for our next jump in model capabilities, which will require reliably coordinating training runs on tens of thousands of accelerators, running internet-scale data pipelines, and building new kinds of capabilities and tools into Grok. If that sounds exciting to you, apply to join the team here.

Research at xAI

We give Grok access to search tools and real-time information, but as with all the LLMs trained on next-token prediction, our model can still generate false or contradictory information. We believe that achieving reliable reasoning is the most important research direction to address the limitations of current systems. Here, we would like to highlight a few promising research directions we are most excited about at xAI:

Scalable oversight with tool assistance. Human feedback is essential. However, providing consistent and accurate feedback can be challenging, especially when dealing with lengthy code or complex reasoning steps. AI can assist with scalable oversight by looking up references from different sources, verifying intermediate steps with external tools, and seeking human feedback when necessary. We aim to make the most effective use of our AI tutors' time with the help of our models.

Integrating with formal verification for safety, reliability, and grounding. To create AI systems that can reason deeply about the real world, we plan to develop reasoning skills in less ambiguous and more verifiable situations. This allows us to evaluate our systems without human feedback or interaction with the real world. One major immediate goal of this approach is to give formal guarantees for code correctness, especially regarding formally verifiable aspects of AI safety.

Long-context understanding and retrieval. Training models for efficiently discovering useful knowledge in a particular context are at the heart of producing truly intelligent systems. We are working on methods that can discover and retrieve information whenever it is needed.

Adversarial robustness. Adversarial examples demonstrate that optimizers can easily exploit vulnerabilities in AI systems, both during training and serving time, causing them to make egregious mistakes. These vulnerabilities are long-standing weaknesses of deep learning models. We are particularly interested in improving the robustness of LLMs, reward models, and monitoring systems.

Multimodal capabilities. Currently, Grok doesn't have other senses, such as vision and audio. To better assist users, we will equip Grok with these different senses that can enable broader applications, including real-time interactions and assistance.

We believe that AI holds immense potential for contributing significant scientific and economic value to society, so we will work towards developing reliable safeguards against catastrophic forms of malicious use. We believe in doing our utmost to ensure that AI remains a force for good.

If you share our optimism and want to contribute to our mission, apply to join the team here.

Early Access to Grok

We are offering a limited number of users in the United States to try out our Grok prototype and provide valuable feedback that will help us improve its capabilities before a wider release. You can join the Grok waitlist here. This release just represents the first step for xAI. Looking ahead, we have an exciting roadmap and will be rolling out new capabilities and features in the coming months.

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A research assistant that helps you ask the right questions, find information online and make sense of the world.

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Explore our list of the best 60 AI tools for AI writing coach, you can also search the site for more specific tools as needed, find alternatives and pricing information via our extensive AI search engine.

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Talk to historical figures, philosophers, and more

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NPR: The alleged theft at the heart of ChatGPT

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NPR: The alleged theft at the heart of ChatGPT

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When best-selling thriller writer Douglas Preston began playing around with OpenAI's new chatbot, ChatGPT, he was, at first, impressed. But then he realized how much in-depth knowledge GPT had of the books he had written. When prompted, it supplied detailed plot summaries and descriptions of even minor characters. He was convinced it could only pull that off if it had read his books.

Large language models, the kind of artificial intelligence underlying programs like ChatGPT, do not come into the world fully formed. They first have to be trained on incredibly large amounts of text. Douglas Preston, and 16 other authors, including George R.R. Martin, Jodi Piccoult, and Jonathan Franzen, were convinced that their novels had been used to train GPT without their permission. So, in September, they sued OpenAI for copyright infringement.

This sort of thing seems to be happening a lot lately-one giant tech company or another "moves fast and breaks things," exploring the edges of what might or might not be allowed without first asking permission. On today's show, we try to make sense of what OpenAI allegedly did by training its AI on massive amounts of copyrighted material. Was that good? Was it bad? Was it legal?
This episode was hosted by Keith Romer and Erika Beras and produced by Willa Rubin and Sam Yellowhorse Kesler. It was edited by Kenny Malone and fact-checked by Sierra Juarez. Engineering by Robert Rodriguez. Alex Goldmark is Planet Money's executive producer. Help support Planet Money and get bonus episodes by subscribing to Planet Money+ Music: Elias Music - "Elevated," Universal Music Production - "Don't Cross the Line," and "This is Not Goodbye"in Apple Podcasts or at plus.npr.org/planetmoney.

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The alleged theft at the heart of ChatGPT : Planet Money

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When best-selling thriller writer Douglas Preston began playing around with OpenAI's new chatbot, ChatGPT, he was, at first, impressed. But then he realized how much in-depth knowledge GPT had of the books he had written. When prompted, it supplied detailed plot summaries and descriptions of even minor characters.

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AI-powered translation earbuds

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Home / Timekettle WT2 Edge/W3 Real-time Translator Earbuds

User Manual

Timekettle offers free ground shipping on all timekettle.co orders over $129 within the 48 contiguous United States. Normally orders will be delivered within 5-8 business days of processing payment.
For other countries, you can expect your parcels within 5-14 business days of processing payment.
Check our shipping policy here. For any questions, please contact us via support@timekettle.co.

Timekettle WT2 Edge/W3 Real-time Translator Earbuds

Real-Time Two-Way Translation Earbuds

Get Your Package Between and .

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Timekettle WT2 Edge/W3 Real-time Translator Earbuds

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Home / Timekettle WT2 Edge/W3 Real-time Translator Earbuds User Manual Timekettle offers free ground shipping on all timekettle.co orders over $129 within the 48 contiguous United States. Normally orders will be delivered within 5-8 business days of processing payment. For other countries, you can expect your parcels within 5-14 business days of processing payment.

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Poe has a simple tool that lets you build your own custom bots using text prompts combined with an existing bot, like Claude or ChatGPT, as the base

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Khanmigo is an AI-powered personal tutor and teaching assistant from trusted education nonprofit Khan Academy.

For learners and families, Khanmigo offers engaging, on-topic, and effective learning for students, and is ethically designed with safety and learning as a top priority. Unlike other AI tools such as ChatGPT, Khanmigo doesn't just give answers. Instead, with limitless patience, it guides learners to find the answer themselves. In addition, Khanmigo is the only AI tool that is incorporated with Khan Academy's world-class content library that covers math, humanities, coding, social studies, and more. When rating AI tools for learning, Common Sense Media gave Khanmigo 4 stars, rising above other AI tools like ChatGPT and Bard.

For teachers, Khanmigo is designed to make your role less about busy work. What normally takes hours can be done quickly with Khanmigo: differentiation, lesson plans, quiz questions, student groupings, hooks, exit tickets, rubrics, and more. There's no learning curve. Start using Khanmigo's teacher tools within minutes. Sign up for free to see why Fast Company says Khanmigo is an AI assistant that teachers will actually use.Question 3: Can anyone use Khanmigo?

No, you will not be able to grant students access to Khanmigo. At this time, classroom access for Khanmigo is only available through school or district implementations. We invite district and school administrators to contact our Districts Partnership team to learn about Khanmigo for Districts.

Khanmigo for teachers offers a lot of exciting features, such as standards-aligned lesson planning tied to Khan Academy's world-class content library; an on-demand summary of recent student work so you can quickly assess progress and identify areas where additional support is needed; and Khanmigo-crafted learning objectives, rubrics, and even exit tickets.

As a nonprofit educational organization, we see it as our responsibility to explore what AI could mean for the future of education. We believe that AI has the potential to transform learning in a positive way, but we are also keenly aware of the risks. Therefore, we are only offering access to learners who are under 18 years old when their parents give them access or when their school district is partnered with Khan Academy. This collaboration across school leaders, teachers, families, and Khan Academy staff makes it possible to provide the level of supervision and support children deserve. We believe these guidelines will help us responsibly adapt AI for an educational setting.

To access Khanmigo as a parent or learner, you must make a monthly or annual payment, be 18 years or older, live in the United States, and have a billing address in the U.S.

To access Khanmigo for Teachers, you must be an educator who is 18 years or older and lives in the United States.

If you are under 18 years old, your parent or guardian needs to sign up in order for you to gain access. Please ask your parent or guardian to sign up and add you to their account.

Khan Academy is a small nonprofit funded by donations. Your payment helps us support Khan Academy's mission while giving you access to a groundbreaking AI learning experience.

Thanks to our partnership with Microsoft, we are able to provide free access to Khanmigo for Teachers to educators in the U.S.

We are working to continue to make this technology more affordable for everyone. The Khan Academy content library and learning platform will always remain 100% free.

Khanmigo can help students who are in elementary school through college. Khanmigo can help with almost any academic subject, including math, science, coding, history, and humanities.

Will I be able to give my students access to Khanmigo?

No, you will not be able to grant students access to Khanmigo. At this time, classroom access for Khanmigo is only available through school or district implementations. We invite district and school administrators to contact our Districts Partnership team to learn about Khanmigo for Districts.

Khanmigo for teachers offers a lot of exciting features, such as standards-aligned lesson planning tied to Khan Academy's world-class content library; an on-demand summary of recent student work so you can quickly assess progress and identify areas where additional support is needed; and Khanmigo-crafted learning objectives, rubrics, and even exit tickets.

As a nonprofit educational organization, we see it as our responsibility to explore what AI could mean for the future of education. We believe that AI has the potential to transform learning in a positive way, but we are also keenly aware of the risks. Therefore, we are only offering access to learners who are under 18 years old when their parents give them access or when their school district is partnered with Khan Academy. This collaboration across school leaders, teachers, families, and Khan Academy staff makes it possible to provide the level of supervision and support children deserve. We believe these guidelines will help us responsibly adapt AI for an educational setting.

What is Khanmigo? How is it different from ChatGPT?

Khanmigo is an AI-powered personal tutor and teaching assistant from trusted education nonprofit Khan Academy. Khanmigo offers engaging, on-topic, and effective learning for students, and is ethically designed with safety and learning as a top priority. Unlike other AI tools such as ChatGPT, Khanmigo doesn't just give answers. Instead, with limitless patience, it guides learners to find the answer themselves. In addition, Khanmigo is the only AI tool that is incorporated with Khan Academy's world-class content library that covers math, humanities, coding, social studies, and more. When rating AI tools for learning, Common Sense Media gave Khanmigo 4 stars, rising above other AI tools like ChatGPT and Bard.

Can anyone use Khanmigo?

To access Khanmigo, you must make a monthly or annual payment, be 18 years or older, live in the United States, and have a billing address in the U.S.

If you are under 18 years old, your parent or guardian needs to sign up in order for you to gain access. Please ask your parent or guardian to sign up and add you to their account.

Why is a payment required to access Khanmigo?

Khan Academy is a small nonprofit funded by donations. Your payment helps us support Khan Academy's mission while giving you access to a groundbreaking AI learning experience. We are working to continue to make this technology more affordable for everyone. The Khan Academy content library and learning platform will always remain 100% free.

How many children can I add to my Khanmigo account?

What grades and subjects can Khanmigo help with?

Khanmigo can help students who are in elementary school through college. Khanmigo can help with almost any academic subject, including math, science, coding, history, and humanities.

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Meet Khanmigo: Khan Academy's AI-powered teaching assistant & tutor

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Khanmigo, built by nonprofit Khan Academy, is a top-rated AI for education. Save time on prep, tackle homework challenges, and get personalized tutoring.

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Create stunning images with Bing Image Creator, the best free AI image generator. Turn text into AI art, photos, and visuals instantly, all for free.

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Harvard Professor Explains Algorithms in 5 Levels of Difficulty 

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Harvard Professor Explains Algorithms in 5 Levels of Difficulty 

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Harvard Professor Explains Algorithms in 5 Levels of Difficulty | WIRED

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Our next generation AI systems are solving some of the hardest scientific and engineering challenges of our time.

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Latest Research: What is the relationship between digital reading and comprehension?

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Latest Research: What is the relationship between digital reading and comprehension?

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Now that GenAI is becoming increasingly more available, it's reasonable to believe that digital reading will increase - let's understand what that means for reading comprehension.

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Study: Digital Leisure Reading Does Little to Improve Reading Comprehension for Students

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The idea-to-video platform that sets your creativity in motion.

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I remember when I was a kid in rural Pennsylvania, how my father brought home found objects, primarily books. Once, he arrived with an entire collection of encyclopedias filled with interesting maps, topics, and new words.

These encyclopedias opened up a world of possibilities to me. We were not a family that traveled often, but the books my father brought home were windows that stretched my imagination. From geography to astronomy to underwater sea creatures, it was as if experts sat with me with each word I read and every diagram I admired.

News reports and agencies tell us that we don't read as much as we used to. Notice what Pew Research Center published in 2021. Also, there is an abundance of digital books, and newly released research shows that leisure digital reading has no statistical impact on comprehension once readers get to high school. But even if we are reading less or in more digital forms, that doesn't mean we are not living literate lives.

Research points to literacy as not just something that happens in school or just something that happens in books. Literacy is happening all of the time when we interact with the world. We read a room when we walk in and feel the vibe or notice facial expressions change. We may be building some financial literacy when doing a little retail therapy - perhaps learning some things the hard way! Literacy is all around us all the time.

Our kids are often more technologically literate than us - at least in some ways. After all, they are growing up in an increasingly digital world. So, we must wonder what literacies will be vital in the next 10-20 years. What jobs will today's kindergarteners compete for when they turn 18? It's sobering to think that we honestly don't know, but what we do know is that it will be different. The World Economic Forum's The Future of Jobs Report shows that Technology Literacy is perceived to be an increasingly necessary skill in the job market in the next five years.

So what about Artificial Intelligence Literacy? Will today's kids need prompt engineering to determine the best way to work alongside AI? Perhaps.

If I were to guess, I would say it would be about much more than prompting artificial intelligence. The future is likely one where those who can learn alongside AI systems and leverage its power in combination with their own unique gifts, talents, and interests will emerge as leaders.

Those who skillfully use AI as personal mentors and tutors will be seen in the same way we think about the kid who reads book after book. It will be the kid who not only reads the book but then talks to AI about it for an hour (and perhaps even produces something around it) and then finds the next one who will have the advantage in the digital world of the future. The friction from having brilliant ideas to being able to enact those ideas out in the world is becoming less and less. Want to produce a song - easy. Want to write a book - done!

The real trick will be building community - finding your people, your kin.

In a future world of artificially intelligent mentors, maybe, just maybe, more of us will have the luxury of simply being human.

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Beyond the Classroom: The Future of Mentorship in the Age of AI

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I remember when I was a kid in rural Pennsylvania, how my father brought home found objects, primarily books. Once, he arrived with an entire collection of encyclopedias filled with interesting maps...

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Like educators across the country, AP teachers are confronting the implications of ChatGPT and other similar tools.

Students are categorically prohibited from using any and all Artificial Intelligence tools (e.g. ChatGPT or DALL-E) or essay writing services (e.g. Chegg or Course Hero) to guide, brainstorm, draft, or create student work related to any AP assessment, including written projects and performance tasks . The AP Program reserves the right to validate student work submitted for AP African American Studies, AP Art and Design, AP Computer Science Principles, AP Research, and AP Seminar with plagiarism detection tools and other investigative efforts to identify non-student generated work. Any use of Artificial Intelligence tools or essay writing services will be considered an exam violation and may result in the cancellation of a student's AP score(s).

Exam violations and plagiarism concerns should be reported to College Board via the AP Digital Portfolio through May 16. After this date, please report online at forms.collegeboard.org/reportcheating.

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2022-23 Guidance for Artificial Intelligence Tools and Other Services

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Like educators across the country, AP teachers are confronting the implications of ChatGPT and other similar tools. Students are categorically prohibited from using any and all Artificial Intelligence tools (e.g. ChatGPT or DALL-E) or essay writing services (e.g. Chegg or Course Hero) to guide, brainstorm, draft, or create student work related to any AP assessment, including written projects and performance tasks .