Microsoft's Copilot AI now has a Mac app - here's what you'll need to run it - Related to payment, it, microsoft's, here's, towards

Announcing the Towards Data Science Author Payment Program

At TDS, we see value in every article we publish and recognize that authors share their work with us for a wide range of reasons — some wish to spread their knowledge and help other learners, others aim to grow their public profile and. Advance in their career, and some look at writing as an additional income stream. In many cases, it’s a combination of all of the above.

Historically, there was no direct monetization involved in contributing to TDS (unless authors chose to join the partner program at our former hosting platform). As we establish TDS as an independent, self-sustaining publication, we’ve decided to change course, as it was critical for us to reward the articles that help us reach our business goals in proportion to their impact.

The TDS Author Payment Program is structured around a 30-day window. Articles are eligible for payment based on the number of readers who engage with them in the first 30 days after publication.

Authors are paid based on three earning tiers:

25,000+ Views: The article will earn $ per view within 30 days of publication: a minimum of $2,500, and up to $7,500, which is the cap for earnings per article.

The article will earn $ per view within 30 days of publication: a minimum of $2,500. And up to $7,500, which is the cap for earnings per article. 10,000-24,999 Views: The article will earn $ per view within 30 days of publication: a minimum of $500, and up to $1,249.

The article will earn $ per view within 30 days of publication: a minimum of $500. And up to $1,249. 5,000-9,999 Views: The article will earn $ per view within 30 days of publication: a minimum of $125, and. Up to $249.

Articles with fewer than 5,000 views in 30 days will not qualify for payment.

During these 30 days, articles must remain . After that, authors are free to republish or remove their articles.

This program is available to every current TDS contributor, and. To any new author who becomes eligible once an article reaches the first earning tier.

Participation in the program is subject to approval to ensure authentic traffic. We reserve the right to pause or decline participation if we detect unusual spikes or fraudulent activity. Additionally, payments are only available to authors who live in countries supported by Stripe.

Authors can submit up to four articles per month for paid participation.

We built this program to create a transparent and sustainable system that pays contributors for the time and. Effort required to write great articles that attract a wide audience of data science and machine learning professionals. By tracking genuine engagement, we ensure that the best work gets recognized and rewarded while keeping the system simple and transparent.

We’re excited to offer this opportunity and look forward to supporting our contributors who keep Towards Data Science the leading destination in the data science community.

We’re working swiftly to roll out an author portal that will streamline article pitches and feedback.

In the meantime. Please send your upcoming article directly to our team using this form.

If you’re having an issue with our online form, please let us know via email ([email protected]) so we can help you complete the process. Please do not email us an article that you have already sent via our form.

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Microsoft's Copilot AI now has a Mac app - here's what you'll need to run it

Microsoft has expanded its Copilot AI to Mac clients. On Thursday, the official Copilot app landed in the Mac App Store in the US, Canada, and the UK.

Free and. Available to all, except Intel Macs.

Furthermore, the app is free for all, at least those with the right type of machine. To run it, you'll need a Mac with an M1 chip or higher, which means Intel-based Macs are out of the loop.

Also: All Copilot people now get free unlimited access to its two best functions - how to use them.

For people with the right system, the Mac app works similarly to its counterparts for Windows, iOS. IPadOS, and Android. Type or speak your request or question at the prompt, and Copilot delivers its response. You can ask Copilot to generate text, images, and more.

Based on the description in the Mac App Store, Copilot can handle the following tasks:

Deliver straightforward answers to complex questions based on simple conversations.

Translate and proofread across multiple languages.

Compose and draft emails and cover letters.

Create high-quality images from your text prompts. Generating anything from abstract designs to photorealistic pictures.

With the image generation skill, Copilot can help with the following tasks:

Devise storyboards for film and video projects.

You can trigger Copilot on the Mac by setting up a dedicated keyboard shortcut. You're able to set it to start up automatically each time you sign in. And thanks to a new option for all Copilot people, you can work with the AI without having to create or sign into an account.

Also: Copilot's powerful new 'Think Deeper' feature is free for all customers - how it works.

Mac customers will also have unlimited access to the Think Deeper and. Copilot Voice aspects. Now available for all Copilot customers, Think Deeper spends more time analyzing your question and crafting an in-depth and detailed response. Copilot Voice allows you to have a back-and-forth conversation with the AI. You can even choose among four different voices -- Canyon, Meadow, Grove, and Wave -- each with its own gender, pitch. And accent.

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Write for Towards Data Science

We are looking for writers to propose up-to-date content focused on data science, machine learning, artificial intelligence and programming. If you love to write about these topics, read on!

Reach a broader audience with your articles. We are one of the most popular data science sites in the world. TDS started as a publication on Medium, amassing more than 700k followers and becoming the most-read publication on the site. Now on a self-hosted platform, TDS is the leading destination in the data science community.

Here are a few things we do to ensure your articles reach the largest audience possible:

Our independent domain ( provides enhanced visibility and direct traffic to your work.

We provide editorial support to help refine and. Amplify high-quality submissions.

Before submitting your article, there are a few essential things you need to know. Make sure you read each point well, and that you understand them, as by submitting an article to TDS, you are agreeing to comply with all of them.

Any article you share with us must be entirely your own original work; you can’t take other writers’ words and present them as your own, and we also don’t allow AI-generated text. Even when you’re the one who prompted its creation.

not long ago, TDS made a big leap toward independence by moving off Medium and launching our self-hosted platform. We’re working swiftly to roll out an author portal that will streamline article pitches and feedback.

In the meantime, please send your upcoming article directly to our team using this form.

If you’re having an issue with our online form. Please let us know via email ([email protected]) so we can help you complete the process. Please do not email us an article that you have already sent via our form.

How to get your article ready for publication!

We aim to strike a balance between innovating, informing and. Philosophizing. We want to hear from you! If you are not a professional writer, consider the following points when preparing your article. We want to publish high quality, professional articles that people want to read.

1. Is your story a story that needs to be told?

Before you start writing, ask yourself: is this story a story that needs to be told?

If you have read many articles addressing the same issue or explaining the same concept. Think twice before writing another one. If you have a radical, new take on an old chestnut, we want to hear from you… but, we need you to persuade us that your article is something special that distinguishes itself from the pack and speaks to our audience.

Conversely, if your article addresses an underserved area or presents a new idea or method. That’s just what we are after!

Let us know what your main message is, right from the start. Give your piece a snappy introduction that tells us:

Once you’ve got that out of the way, you can be as conversational as you like, but keep calling back to the central message and give us a solid conclusion.

Remember though. Towards Data Science is not your personal blog, keep it sharp and on-topic!

3. On the internet, nobody knows you are a dog.

You’ve got a new idea or a new way of doing things, you want to tell the community and. Start a discussion. Fantastic, that’s what we want too, but we’re not going to take for granted that you know what you are talking about or that we should uncritically believe what you say… you’ve got to persuade us (your audience) that:

Your idea is based on a logical progression of ideas and evidence.

If you are giving us a tutorial, tell us why people would need to use this tool and. Why your way is superior than the methods already published.

You can do this by explaining the background, showing examples, providing an experiment or just laying out how data you have extracted from various data allowed you to synthesise this new idea.

Are there arguments that counter your opinion or your findings? Explain why that interpretation conflicts with your idea and why your idea comes out on top.

4. Do you have a short title with an insightful subtitle?

If you scroll up to the top of this page, you will see an example of a title and. Subtitle. Your post needs to have a short title and a longer subtitle that tell readers what your article is about or why they should read it. Your header is useful for attracting potential readers and making your intentions clear. To remain consistent and give readers the best experience possible, we do not allow titles or subtitles written in all-caps. We also ask that you avoid profanity in both your title and subtitle.

5. What makes your post valuable to readers?

A successful post has a clearly defined and well-scoped goal, and follows through on its promise. If your title tells us you’re going to unpack a complex algorithm, show the benefits of a new library, or walk us through your own data pipeline. Make sure the rest of the post delivers.

Here are a few pointers to help you plan and execute a well-crafted post:

1. Decide what your topic is — and what it isn’t.

If you’re not sure what your post is going to be about. There’s very little chance your audience will when they read it. Define the problem or question your article will tackle, and stick to it: anything that doesn’t address the core of your post should stay out.

With your topic in hand, sketch out a clear structure for your post. And keep in mind the overall structure it’ll follow. Remember that your main goal is to keep your reader engaged and well-oriented. So it’s never too early to think about formatting and how you’ll break down the topic into digestible sections. Consider adding section headings along the way to make your structure visible.

If you’re still finding your personal voice as a data-science author, a good place to start is keeping things clean, clear, and easy to follow.

If your article is full of neutral, generic verbs (like to be. Have, go, become, make, etc.), try to mix in more precise action verbs. When it makes sense, use specific, lively descriptors instead of dull ones (for example, you could replace “easy” with “frictionless,” “accessible,” or “straightforward,” depending on the context).

Moving to another aspect, there are few things editors appreciate more than a clean first draft, so don’t forget to proofread your post a couple of times before sharing it with TDS: look for spelling, punctuation, and. Grammar issues, and do your best to fix them. What we hope to offer to our readers are clear explanations, a smooth overall flow — pay attention to those transitions! — and a strong sense of what you’re aiming to achieve with your post.

If you’d like to expand your toolkit beyond the basics. The Internet is full of great writing resources. Here are a few ideas to help you get started:

4. Include your own images, graphs, and gifs.

One of the most effective ways to get your key points across to your readers is to illustrate them with your compelling visuals.

For example, if you’re talking about a data pipeline you built. Text can only take you so far; adding a diagram or flowchart could make things even clearer. If you’re covering an algorithm or another abstract concept, make it more concrete with graphs, drawings, or gifs to complement your verbal descriptions. (If you’re using images someone else created, you’ll need to source and cite them carefully — read our image guidelines below.

A strong visual component will hook your readers’ attention and. Guide them along as they read your post. It will also help you develop a personal style as an author, grow your following, and draw more attention on social media.

6. Are your code and equations well displayed?

TDS readers love to tinker with the ideas and workflows you share with them, which means that including a code implementation and relevant equation(s) in your post is often a great idea.

To make code snippets more accessible and. Usable, avoid screenshots. Use WordPress’s code blocks & inline code.

To share math equations with your readers, is a great option. Alternatively, you can use Unicode characters and upload an image of the resulting equation.

When you include code or an equation within your article, be sure to explain it and add some context around it so readers of all levels can follow along.

To learn more about using these embeds and others in your post. Check out this resource.

Whenever you provide a fact, if it’s not self-evident, let us know where you learned it. Tell us who your data are and where your data originated. If we want to have a conversation we all need to be on the same page. Maybe something you say will spark a discussion, but if we want to be sure we are not at cross purposes, we need to go back to the original and. Read for ourselves in case we are missing a vital piece of the puzzle that makes everything you say make sense.

8. Is your conclusion to the point and not promotional?

Please make sure that you include a conclusion at the end of your article. It’s a great way to help your readers review and remember the essential points or ideas you’ve covered. You can also use your conclusion to link an original post or a few relevant articles.

Adding an extra link to your author profile or to a social media account is fine, but please avoid call-to-action (CTA) buttons.

For your references. Please respect this format:

For example, your first reference should look like this:

[1] A. Pesah, A. Wehenkel and G. Louppe, Recurrent Machines for Likelihood-Free Inference (2018), NeurIPS 2018 Workshop on Meta-Learning.

In relation to this, the more specific your tags, the easier it is for readers to find your article and for us to classify and. Recommend your post to the relevant audience.

We may change one or two tags before publication. We would do this only to keep our different sections relevant to our readers. For instance, we would want to avoid tagging a post on linear regression as “Artificial Intelligence”.

A great image attracts and excites readers. That’s why all the best newspapers always display incredible pictures.

This is what you can do to add a fantastic featured image to your post:

Use Unsplash. Most of the content on Unsplash is fine to use without asking for permission. You can learn more about their license here.

Take one yourself . Your phone is almost certainly good enough to capture a cool image of your surroundings. You might even already have an image on your phone that would make a great addition to your article.

. Your phone is almost certainly good enough to capture a cool image of your surroundings. You might even already have an image on your phone that would make a great addition to your article. Make a great graph. If your post involves data analysis, spend some time making at least one graph truly unique. You can try R, Python, or Plotly.

If you’ve chosen to create images for your article using an AI tool (like DALL·E 2, DALL·E, Midjourney, or Stable Diffusion, among others). It’s your responsibility to ensure that you’ve read, understood, and followed the tool’s terms. Any image you use on TDS must be licensed for commercial use, including AI-generated images. Not all AI tools permit images to be used for commercial purposes and some require payment to permit you to use the image.

The images you generate with AI tools cannot violate the copyright of other creators. If the AI generated image resembles or is identical to an existing copyrighted image or fictional character (like Harry Potter, Fred Flinstone etc.). You are not permitted to use it on TDS. Use your best judgment and avoid AI-generated images that copy or closely emulate another work. If in doubt, use an image search tool — like Google Lens, TinEye. Or others — to check whether your images are too similar to an existing work. We may also ask that you provide details of the text prompts you used in the AI tool to confirm you did not use the names of copyrighted works.

Your text prompts cannot use the names of real people, nor can your images be used if they feature a real person (whether a celebrity. Politician, or anyone else).

Please remember to cite the source of your images even if you aren’t legally obligated to do so. If you created an image yourself, you can add (Image by author) in the caption. Whichever way you decide to go, your image source should look like this:

Photo by Nubia Navarro (nubikini): .

Your image should both have the source and. The link to that source. If you created an image yourself, you can add “Image by author”.

If you’ve created an image that was lightly inspired by an existing image, please add the caption “Image by Author, inspired by source[include the link].” If you’ve edited an existing image, please make sure you have the right to use and edit that image and. Include the caption “Image by source[include the link], edited with permission by the author.”.

Danger zone: Do not use images (including logos and gifs) you found online without explicit permission from the owner. Adding the source to an image doesn’t grant you the right to use it.

The Towards Data Science team is committed to the creation of a respectful community of data science authors, researchers. And readers. For our authors, this means respecting the work of others, taking care to honor copyrights associated with images, , and data. Please always ensure that you have the right to collect, analyze, and. Present the data you’re using in your article.

There are plenty of great findings of data that are freely available. Try searching university databases, government open data sites, and international institutions, such as the UCI Irvine Machine Learning Repository, Government, and World Bank Open Data. And don’t forget about sites that hold specific data relating to fields like physics, astrophysics, earth science, sports, and. Politics like CERN, NASA, and FiveThirtyEight.

TDS is a commercial publication. Before submitting your article to us, please verify your dataset is licensed for commercial use, or obtain written permission to use it. Please note that not all the datasets on the websites we’ve listed are fine to use. No matter where you obtain your data, we advise you to double-check that the dataset permits commercial use.

If you aren’t confident you have the right to use it for commercial purposes. Consider contacting the owner. Many authors receive a quick, positive response to a well-constructed email. Explain how you intend to use the data, share your article or idea, and provide a link to TDS. When you receive permission, please forward a copy to us at [email protected].

This is especially essential if you plan to use web scraping to create your own dataset. If the website does not explicitly allow data scraping for commercial purposes, we strongly recommend that you contact the website owner for permission. Without explicit permission, we won’t be able to publish your work, so please forward us a copy via email.

And sometimes, simple works best! If you just want a dataset to explain how an algorithm works, you can always create an artificial or simulated dataset. Here’s a quick tutorial, and an article that uses a simulated dataset you might find helpful.

Please remember to add a link to the site where the dataset is stored, and. Credit the owner/creator in your article. Ideally, this is done on first mention of the dataset, or in a resource list at the end of the article. Please carefully follow any instructions relating to attribution that you find on the site. If you have created your own artificial or simulated dataset, it is significant to mention that too.

We know interpreting a license can be challenging. It is your responsibility to be certain that you can present your data and findings in an article , but. If you’re stuck, please reach out to our editorial team for assistance. We would rather work with you in the early stages of your project than to have to decline your completed article due to a dataset license issue.

We love original content because it’s something that our audience hasn’t seen before. We want to give as much exposure to new material as possible and keep TDS fresh and up-to-date.

Originality also means that you (and your coauthors. If any) are the sole creator of each and every element in your post. Any time you rely on someone else’s words, you have to cite and quote them properly, otherwise we consider it an instance of plagiarism. This applies to human authors, of course, but also to AI-generated text. We generally don’t allow any language created by tools like ChatGPT on TDS; if your article discusses these tools and you wish to include examples of text you generated, please keep them to a minimum, cite their source and the prompt you used. And make it very clear (for example, by using block quotes) where the AI-generated portions begin and end.

14. Did you get any feedback before submitting your post?

Get into the habit of always asking a friend for feedback before publishing your article. Having worked so hard on that article, you wouldn’t want to let a silly mistake push readers away.

15. Has your Author profile been completed correctly?

Please include your real name, a photo, and a bio. We don’t publish posts from anonymous writers — it’s easier to build trust with readers when they associate your words with an actual person.

Use your profile to introduce yourself, your expertise, your and achievements — optimizing it will help you develop a meaningful relationship with your audience beyond a single post.

If you are a organization and would like to publish with us, please note that we almost exclusively publish articles submitted directly from the author.

Take a minute to reflect on the work you have been doing so far. And the current article you wish to publish. What value are you bringing, and to whom? In which ways are this article more effective or worse than the ones you previously published?

Longform posts, columns. And online books.

Have a lot to say? Good. We love to dive deep into complex topics, and so do our readers. Here’s how you can publish longform posts, columns, and online books on TDS.

We love long reads! If your article’s reading time is shorter than 25 minutes, we recommend that you don’t break it into multiple pieces — keep it as-is. A single post makes it easier for readers to search and find all the information they need, and less likely that they’ll miss an key part of your argument.

To create a smoother reading experience. You can add a table of contents to orient your audience around your post. Adding high-quality images and lots of white space is always a good idea, too — a long text doesn’t have to be a wall of text.

We regularly add the most engaging and thoughtful longform posts to our Deep Dives page.

If your post’s reading time exceeds 25 minutes, or if you plan to focus on the same topic over multiple articles and. A longer stretch of time, you can create your own TDS column. All it takes are three steps:

Add a custom tag to your post. This tag needs to be unique and reflect the theme of your project. Every time you publish a post with that tag, it will be added to your column’s landing page: [your-tag]. Add a kicker to your post. It’s like adding a subtitle but above your title. Link your kicker to your column’s landing page.

You can create a TDS column and invite multiple authors to contribute. Just let your colleague(s) know which tag you decided to use so that they can add the same one to their articles. Here are some examples from our team.

A column is a great format to use if you have an open-ended topic that you plan to write about for a while. If, on the other hand, your idea has a finite, defined scope and a clear sense of progression from one post to the next. You may want to create a series of articles that feels more like an online book. Here is the format we recommend using.

Keep the reading time of each article — or “chapter” — between 12 to 25 minutes, and aim for a series that has at least 5 articles (but probably not more than. Say, 16). You can add links to previous or subsequent items from within each article — for example, in the introduction and/or conclusion.

To publish your online book, you can submit all your articles to our editorial team in one go. Or one by one as you finish working on each. We’ll review them and publish them as they come along. Let us know your post is part of a planned online book project.

Please ensure that each article or online book chapter follows the same guidelines and. Rules as any other post that TDS publishes. If you ever decide to sell or exclusively license your book to a third party publisher. You will have to make sure you have their consent to continue to publish the book with TDS. If you do not have such consent, it is your responsibility to remove your content from the TDS publication.

To become a writer. Please send your article using our form. Please note that a new author submission process is nearing launch, and this form will be retired upon it’s availability.

We aim to respond to authors as quickly as possible and. To let them know whether or not we’ve accepted their articles. On rare occasions, the volume of submissions we receive makes it difficult to respond to everyone; as a general rule, if you haven’t heard from us within a week of submitting your post, it’s safe to assume we won’t move forward with publishing it.

If you’re having an issue with our online form. Please let us know via email ([email protected]) so we can help you complete the process. Please do not email us an article that you have already sent via our form.

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