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By Aytekin Tank

Just a week after launching its R1 artificial intelligence model, DeepSeek took the title for most downloaded free app in the United States. Curious about this new AI disruptor, I decided to test it against ChatGPT. I gave both models the same prompt:

“Can you please write an intro to an article comparing ChatGPT and DeepSeek? It should be conversational, punchy, and timely.”

The results were surprising. A regular ChatGPT user, I found myself leaning toward DeepSeek’s introduction. The headline alone felt slightly more compelling.

ChatGPT vs. DeepSeek: The AI Showdown You Didn’t Know You Needed

Versus ChatGPT’s:

ChatGPT vs. DeepSeek: Which AI Model Wins in 2024?

ChatGPT’s version was more straightforward but lost points for incorrectly stating ‘2024’—I ran this mini-test in early February 2025. DeepSeek, on the other hand, leaned into trendy jargon, yet its response felt like a headline I’d actually want to click.

No matter how you phrase the question, the answer is clear: their strengths are comparable and there is no AI winner yet. As CEO of Jotform, I’m always researching the latest AI tools and new ways to automate my busywork. Here are the relative strengths of the two AI models dominating today’s headlines.

Writing: Creativity vs. Precision

As of 2023, employees reported using ChatGPT primarily for writing, copywriting, and content creation—second only to coding. Generating creative, engaging content is one of ChatGPT’s strengths. What’s more, you can even train ChatGPT to write in your voice by sharing excerpts of your writing and guiding the LLM on which facets of your writing to channel. For example, if you want it to generate content reflecting your humour and wit, but not your more formal tone, a simple prompt is all you need. It’s truly impressive.

While DeepSeek isn’t a bad option for writing, I’ve found ChatGPT to have a bit more sophistication and finesse—the kind of writing you’d expect from a reputable lifestyle publication. It makes sense. While OpenAI trains ChatGPT using human feedback, DeepSeek relies solely on computer-driven reinforcement. This approach might give it an edge in technical subjects, but when it comes to areas requiring nuance and subjectivity—where answers aren’t black or white—it is less refined.

That said, if DeepSeek doesn’t always measure up on creative flair, it excels at technical writing. For example, if you need to generate coding documentation, scientific explanations, or data-driven reports, DeepSeek generates precise writing—and fast. Another advantage is that DeepSeek, unsurprisingly, has advanced Chinese-language writing skills, which can be an asset depending on your business needs.

Research: Synthesis vs. Rigor

Large language models can be powerful research tools, helping you identify and synthesize relevant information in an instant. It’s no secret, however, that tools like ChatGPT hallucinate sometimes—in other words, they make things up. Usually, this happens when the information you’re seeking is beyond its training scope. LLMs tend to be people pleasers—they’d rather generate a coherent response than admit they don’t know the answer to something. That’s why the cardinal rule of using LLMs for research is to always verify sources and locate the relevant information within them.

ChatGPT and DeepSeek have unique strengths when it comes to research. Being the more creative, nuanced idea synthesizer, ChatGPT is my choice for research tasks requiring interpretation or subjective reasoning. For example, if you want the LLM to locate a historical fact and explain its significance in a larger context.

To demonstrate, I used the following prompt with ChatGPT:

“Briefly, can you explain how the fall of the Roman Empire influenced modern governance? Please link to sources.”

It provided a comprehensive answer that stuck to the original question. It included direct links to sources after each paragraph. ChatGPT concluded, “In summary, the fall of the Roman Empire prompted a shift from centralized imperial rule to decentralized governance structures, laying foundational elements for contemporary political systems.” DeepSeek, on the other hand, offered an organized answer, broken down into four points. It did not, however, stick to the original question. For example, it provided insight into how Roman law (rather than the downfall) influenced the modern civil law system. Then, it listed a few sources—books like Edward Gibbon’s The History of the Decline and Fall of the Roman Empire. Don’t get me wrong, I love reading paperbacks, but for my daily research relating to work, I tend to stick to digital sources.

DeepSeek, however, might be a smart choice for objective data, structured computations, or technical accuracy. For instance, I asked both models to break down the Pythagorean theorem. Both models offered thorough answers, but DeepSeek included an illustrative visual representation. For users looking for clarity, precision, and supplemental visuals in their research, DeepSeek could offer a distinct advantage.

Idea Generation: Who’s the Better Brainstorming Partner?

When working with an LLM, it’s crucial not to delegate your creativity entirely. AI can be a powerful tool to kickstart ideas, expand your pool of possibilities, and handle the parts of the creative process you might not enjoy—like headline writing or social media captions. However, it’s important to maintain control. AI should free up time for your best thinking, not replace it.

With that in mind, both ChatGPT and DeepSeek have proven valuable for idea generation. Since ChatGPT is often associated with creative tasks, while DeepSeek has a reputation for more technical prowess, I tested both with the following prompt:

“Please generate a list of article ideas about the AI race.”

I wanted to see how each model would interpret the vagueness of the prompt—which “race” it would focus on (competition between models? Between countries?)—as well as how it handled the lack of criteria (e.g., SEO optimization, authoritative tone).

ChatGPT generated its reply a few seconds faster, but DeepSeek’s response was more in-depth—producing 24 ideas compared to ChatGPT’s 20, and organizing them into eight categories (e.g., “Cultural and Philosophical Perspectives” and “Ethical and Societal Implications”) versus ChatGPT’s four. Both models generated thoughtful ideas that reflected today’s narratives surrounding AI across multiple dimensions.

While ChatGPT’s suggestions were sophisticated and aligned with the current media landscape, DeepSeek remains a strong contender. If your work relies more on structured insights than imagination or creativity, DeepSeek could be a valuable addition to your toolkit.

Coding: A New Open-Source Power Player?

Investor and entrepreneur Marc Andreessen called DeepSeek R1 “one of the most amazing and impressive breakthroughs I’ve ever seen — and as open source, a profound gift to the world.”

So, what do developers think?

While it depends on the goal and situation, the consensus seems to be that DeepSeek’s R1 is a great option. Some are saying it’s the best model at the moment. At the very least, it’s the first open-source model to compete with the current juggernaut leaders like OpenAI and Google. For developers looking for transparency, flexibility, and high performance in their coding projects, DeepSeek’s open-source model is an excellent choice.

Models like ChatGPT and DeepSeek are evolving and becoming more sophisticated by the day. Meanwhile, new players like Alibaba Cloud, Zhipu, Moonshot AI, and ByteDance are entering the ring. For the average AI user, navigating this increasingly crowded market might feel overwhelming—but ultimately, more competition means better, more accessible tools. If DeepSeek’s arrival has proven anything, it’s that as AI advances, it also becomes more user-friendly. So experiment, explore, and stay tuned.

Feature Image Credit: GREG BAKER/AFP via Getty Images. AFP via Getty Images

By Aytekin Tank

Follow me on Twitter or LinkedIn. Check out my website. Contributor. Aytekin Tank is the founder and CEO of Jotform.

Sourced from Forbes

By Laura Pippig and Joel Lee

France-based AI chatbot Le Chat is currently the fastest of them all, and it can now generate images.

With all the news about ChatGPTCopilot, and DeepSeek, you might think that the US and China are the two main players at the head of the AI pack, with everyone else lagging behind. But that’s not necessarily true.

Some European alternatives are making waves. For example, last week’s update for the France-based AI chatbot Le Chat integrated an image generator based on a German AI model from the company Black Forest Labs. That’s Franco-German collaboration par excellence.

According to Mistral, the company behind Le Chat, this AI chatbot is the fastest in the world, capable of generating up to 1,100 tokens per second. (That’s about 13 times faster than ChatGPT’s 85 tokens per second.) And not only does the AI respond quickly to prompts, it also draws on in-depth knowledge from a wide variety of sources for robust answers.

According to the update blog post, it’s now possible to generate photorealistic images using Le Chat. Fittingly, a prompt with a cat drinking tea was shown as an example.

Le Chat is a free app for Android and iOS, but you can also try out the AI tool directly in your browser. Apparently, the maximum permitted requests are limited at a certain point, at which point you’ll have to register. Later, you may even need to subscribe at $14.99 per month, but this is explicitly aimed at power users.

In general, the European chatbot makes a good impression. It responds quickly and precisely and can also explain complex issues. Le Chat could soon establish itself as an alternative to the current top dogs.

Feature Image Credit: Owlie Productions / Shutterstock.com

By Laura Pippig and Joel Lee

Sourced from PCWorld

By Alex Kantrowitz

OpenAI’s chatbot is surging after a period of sluggish growth. After DeepSeek, that’s never been more crucial.

chatgpt and competitors graph

The Gist

  • ChatGPT’s surgeAfter months of stagnation, ChatGPT hit 3.8 billion visits in January 2025, more than doubling its closest competitor.
  • GPT-4o and voice modeOpenAI’s major update, including an advanced voice interface, fueled renewed interest in ChatGPT.
  • Competitive landscapeDespite DeepSeek’s rapid rise, ChatGPT maintains a massive lead over Bing, Gemini, Claude, and Perplexity.

ChatGPT is booming. After months of stagnant usage in early 2024, the chatbot hit an inflection point and is now far outpacing its competition, according to new data from analytics firm Similarweb (see above).

OpenAI’s flagship bot hit 3.8 billion visits on desktop and mobile web in January 2025, more than doubling Bing, its nearest competitor, and leaving Google’s Gemini, Anthropic’s Claude and Perplexity far behind. The traffic surge is a remarkable reversal for ChatGPT following a usage stagnation that lasted longer than a year. After reaching 1.9 billion visits in March 2023, ChatGPT didn’t surpass that number until May 2024.

“The first rush was about novelty, people trying it out. They do seem to have transitioned to where more people have found practical uses for the app,” David Carr, editor for insights news and research at SimilarWeb, told me.

Table of Contents

Why ChatGPT’s Growth Matters

The ChatGPT boom could not have arrived at a better time for OpenAI, which recently saw its AI models effectively equalled by the open source DeepSeek. The incident caused OpenAI CEO Sam Altman to admit the company was on the wrong side of history regarding open source and would maintain a smaller lead than it had previously. OpenAI’s application business is now far more important to its long-term success, and it’s delivering.

The inflection point for ChatGPT seems to have occurred just as OpenAI announced its GPT-4o update, which included an advanced voice mode. The new voice interface would be far more responsive and human sounding than anything on the market, and even a bit flirty.

Following OpenAI’s 4o presentation, Altman infamously tweeted “her,” a reference to a movie starring Scarlett Johansson where a human falls in love with an AI voice that she portrays. Johansson, who’d been approached by OpenAI but refused to collaborate, expressed outrage and threatened legal action following the announcement. It’s possible the publicity helped OpenAI more than it hurt.

Beyond voice mode, OpenAI has improved ChatGPT in several areas. It’s incorporated image generation with Dall-E directly in the bot, it’s released better models — including the o1 reasoning model that DeepSeek challenged — and it’s appeared to hallucinate less. The bot’s also been helped by continued public interest and a willingness among people to try different uses and not abandon it after disappointing results.

Don’t Rest, OpenAI. DeepSeek’s Coming

OpenAI shouldn’t get too comfortable though. DeepSeek’s recent surge surge challenged not only its models, but ChatGPT as well. On Tuesday, Jan. 28, at the height of the DeepSeek publicity wave, ChatGPT registered 139 million visits to DeepSeek’s 49 million, according to Similarweb. Almost overnight, DeepSeek built one third of the audience that ChatGPT took years to establish.

But OpenAI does have the leading AI brand in ChatGPT, something that should be useful as more people seek to engage with artificial intelligence. This past weekend, the company sought to burnish its brand by running its first Super Bowl ad. Google ran a lengthy Super Bowl ad for Gemini as well. If OpenAI can make ChatGPT into the “Coke” of AI, it stands to maintain a lead even if chatbots commoditize.

Can OpenAI Maintain Its Lead?

As for the rest of the pack, it’s not looking pretty. Compared to ChatGPT’s 3.8 billion visit in January, Bing received 1.8 billion, Gemini received only 267 million, Perplexity received 99.5 million and Anthropic’s Claude received 76.8 million. These are web-only numbers, but they’re directionally reliable. And they show OpenAI opening up a massive lead, with competition that isn’t really close.

Core Questions Around ChatGPT’s Growth

Editor’s note: Here are core questions around ChatGPT’s growth:

What drove ChatGPT’s recent surge in usage?

OpenAI’s release of GPT-4o, featuring improved reasoning, enhanced voice mode and better image generation, helped drive renewed interest in ChatGPT. Publicity from the Scarlett Johansson controversy may have also played a role.

How does ChatGPT compare to competitors?

ChatGPT recorded 3.8 billion visits in January 2025, more than double Bing’s traffic and far ahead of Google’s Gemini, Anthropic’s Claude, and Perplexity.

Could OpenAI lose its lead?

While ChatGPT remains dominant, DeepSeek’s rapid growth shows that challengers can quickly capture market share, highlighting the risk of commoditization in the chatbot space.

Feature Image Credit: Jason Dent

By Alex Kantrowitz

Alex Kantrowitz is a writer, author, journalist and on-air contributor for MSNBC. He has written for a number of publications, including The New Yorker, The New York Times, CMSWire and Wired, among others, where he covers the likes of Amazon, Apple, Facebook, Google, and Microsoft. Kantrowitz is the author of “Always Day One: How the Tech Titans Plan to Stay on Top Forever,” and founder of Big Technology. Kantrowitz began his career as a staff writer for BuzzFeed News and later worked as a senior technology reporter for BuzzFeed. Kantrowitz is a graduate of Cornell University, where he earned a Bachelor of Science degree in Industrial and Labor Relations. He currently resides in San Francisco, California. Connect with Alex Kantrowitz:

Sourced from CMSWIRE

By Khamosh Pathak

ChatGPT Search is just a shortcut away.

OpenAI is trying really hard to make ChatGPT Search into a viable product. It’s available for free, to all users, without limits. And now, just like with Google Search, it can be used without logging into an account.

But even with all it AI features, Google Search still focuses on giving you links to pages directly, while ChatGPT Search instead uses online sources to give you an answer, backed up by links. You can click the links in your answer’s sources to open a website (and you really should check ChatGPT’s homework, as it tends to hallucinate quite a bit), but the question remains: is ChatGPT Search worth making your default search engine, and is that even possible?

Weather report in ChatGPT Search.
Credit: Khamosh Pathak

 

ChatGPT Search is OpenAI’s attempt at integrating something akin to an internet search engine into its AI products. You access it through the same page as regular ChatGPT— clicking the “Search” button before pressing “Enter” will turn your question into a search instead.

OpenAI will then pipe the knowledge from its internet search, gathering the latest information, into its latest AI model. The result is still a verbose, text-heavy answer to your question, but now with links to sources cited throughout. Though, for topics like the weather, you do get visual results. Even compared to Perplexity, ChatGPT’s Search interface is light on media, contextual information, and videos.

Compared to Google Search, you don’t get boxes of sponsored posts or product lists. You also, by default, don’t get a list of links, but you can scroll down to the bottom of your answer and click the Sources button to open a short list up in a sidebar. The interface is simple: it’s still just text, but better formatted, giving you different sections with citations, and highlighting different results.

Should you make ChatGPT Search your default search engine?

A user’s default search engine is a coveted spot, and most browsers only include a couple of popular and safe options like Google Search, DuckDuckGo, Bing, and so on. So far, no browser has made space for ChatGPT Search on that list. There are, however, workarounds. In fact, OpenAI’s official method itself is a workaround. It turns out that browsers like Chrome and Firefox will let you switch the default browser, but only if it comes in form of a vetted extension from their own extensions store.

 

Before I get to these workarounds, I want to say that this caution does make sense. A search engine is a window to your entire online world. Many users don’t manually type in website URLs to navigate to webpages anymore. They search on Google instead, and click the first link that pops up (a dangerous practice that leads to a lot of phishing scams, but that’s besides the point).

Trust is a huge factor when you’re choosing a search engine, and I’m not sure if ChatGPT clears that bar yet. In our comparison between Google Search and ChatGPT Search, we found the ChatGPT Search interface to be much better than the bloated mess that Google Search has become. ChatGPT Search is good at explaining things to you directly and can be a great way to research a product deeply before buying something new. But for day-to-day use, where you’re searching around to get a link to a web page, ChatGPT Search just doesn’t cut it. For most users, I would recommend you stick with Google, use a couple of tips to remove the AI nuisances if you wish, or consider a privacy-friendly search engine like Kagi.

How to make ChatGPT Search your default search engine, if you must

If you’ve come this far and still want to set ChatGPT Search as your default search engine, you can do so using OpenAI’s official ChatGPT Search Chrome extension. This works in Chrome and other Chromium-based browsers like Microsoft Edge, Vivaldi, Brave, and so on. Note, though, that Microsoft Edge throws up an extra popup when you try to enable it, and Chrome, too, will ask for confirmation before it lets go of the default search engine spot. Still, once installed, anything you type in the URL bar that isn’t a valid web address will instead directly go through ChatGPT Search.

 

Confirming to change the search engine to ChatGPT search.
Credit: Khamosh Pathak

Safari and Firefox, unfortunately, don’t support ChatGPT Search as a search engine, and there’s no extension for them, either. Though, there’s still a workaround for Firefox, which I’ll go over in the next section.

How to create a ChatGPT Search shortcut

Even if you’re able to make ChatGPT Search your default search engine, for most people, I think it would be best to create a shortcut for ChatGPT Search instead. It’s called Site Search, and it’s available in all Chromium browsers as well as Firefox (sorry, Safari users).

 

It’s a really straightforward process in Chromium browsers. Open Settings in Chrome, go to Search Engine from the sidebar, and in the Site Search section, click the Add button.

Here, enter “https://chatgpt.com/?q=%s&hints=search” in the URL section, and use something like “@gpt” as a shortcut. Give it a name, like “ChatGPT Search” and click Save.

Site Search in Google Search.
Credit: Khamosh Pathak

 

Now, go to the URL bar, type “@gpt” or whatever you named your shortcut, hit the space bar, and type out what you want to ask ChatGPT Search. When you hit enter, it will open the results in ChatGPT, just like it would if ChatGPT were your default search engine.

In Firefox, setting this kind of shortcut requires accessing the hidden settings page. Type “about:config” in the address bar, and click Accept the Risk and Continue.

In the Search bar, type “browser.urlbar.update2.engineAliasRefresh“, and click the Plus icon next to the search result. Now, make sure that the value is True.

Changing browser settings in Firefox.
Credit: Khamosh Pathak

Now, go to Firefox settings, and from the sidebar, choose Search. In the Search Shortcuts section, click the Add button.

Add “https://chatgpt.com/?q=%s&hints=search” as the Engine URL, give it a name, and an alias, which is the shortcut. Then, click Add Engine.

Adding ChatGPT as site search in Firefox.
Credit: Khamosh Pathak

 

Now, you’ve added ChatGPT as a site search that you can trigger using a shortcut.

Serching with ChatGPT in Firefox.
Credit: Khamosh Pathak

The new ChatGPT site search will also now show up now in the Default Search Engine box, so if you really want to, you can make ChatGPT your default search in Firefox, too. Again, though, I wouldn’t recommend you go that far.

By Khamosh Pathak

Khamosh Pathak is freelancer tech journalist with over 13 years of experience writing online. Read Khamosh’s full bio

Sourced from LifeHacker

By Aytekin Tank

Just a week after launching its R1 artificial intelligence model, DeepSeek took the title for most downloaded free app in the United States. Curious about this new AI disruptor, I decided to test it against ChatGPT. I gave both models the same prompt:

“Can you please write an intro to an article comparing ChatGPT and DeepSeek? It should be conversational, punchy, and timely.”

The results were surprising. A regular ChatGPT user, I found myself leaning toward DeepSeek’s introduction. The headline alone felt slightly more compelling.

ChatGPT vs. DeepSeek: The AI Showdown You Didn’t Know You Needed

Versus ChatGPT’s:

ChatGPT vs. DeepSeek: Which AI Model Wins in 2024?

ChatGPT’s version was more straightforward but lost points for incorrectly stating ‘2024’—I ran this mini-test in early February 2025. DeepSeek, on the other hand, leaned into trendy jargon, yet its response felt like a headline I’d actually want to click.

No matter how you phrase the question, the answer is clear: their strengths are comparable and there is no AI winner yet. As CEO of Jotform, I’m always researching the latest AI tools and new ways to automate my busywork. Here are the relative strengths of the two AI models dominating today’s headlines.

Writing: Creativity vs. Precision

As of 2023, employees reported using ChatGPT primarily for writing, copywriting, and content creation—second only to coding. Generating creative, engaging content is one of ChatGPT’s strengths. What’s more, you can even train ChatGPT to write in your voice by sharing excerpts of your writing and guiding the LLM on which facets of your writing to channel. For example, if you want it to generate content reflecting your humour and wit, but not your more formal tone, a simple prompt is all you need. It’s truly impressive.

While DeepSeek isn’t a bad option for writing, I’ve found ChatGPT to have a bit more sophistication and finesse—the kind of writing you’d expect from a reputable lifestyle publication. It makes sense. While OpenAI trains ChatGPT using human feedback, DeepSeek relies solely on computer-driven reinforcement. This approach might give it an edge in technical subjects, but when it comes to areas requiring nuance and subjectivity—where answers aren’t black or white—it is less refined.

That said, if DeepSeek doesn’t always measure up on creative flair, it excels at technical writing. For example, if you need to generate coding documentation, scientific explanations, or data-driven reports, DeepSeek generates precise writing—and fast. Another advantage is that DeepSeek, unsurprisingly, has advanced Chinese-language writing skills, which can be an asset depending on your business needs.

Research: Synthesis vs. Rigor

Large language models can be powerful research tools, helping you identify and synthesize relevant information in an instant. It’s no secret, however, that tools like ChatGPT hallucinate sometimes—in other words, they make things up. Usually, this happens when the information you’re seeking is beyond its training scope. LLMs tend to be people pleasers—they’d rather generate a coherent response than admit they don’t know the answer to something. That’s why the cardinal rule of using LLMs for research is to always verify sources and locate the relevant information within them.

ChatGPT and DeepSeek have unique strengths when it comes to research. Being the more creative, nuanced idea synthesizer, ChatGPT is my choice for research tasks requiring interpretation or subjective reasoning. For example, if you want the LLM to locate a historical fact and explain its significance in a larger context.

To demonstrate, I used the following prompt with ChatGPT:

“Briefly, can you explain how the fall of the Roman Empire influenced modern governance? Please link to sources.”

It provided a comprehensive answer that stuck to the original question. It included direct links to sources after each paragraph. ChatGPT concluded, “In summary, the fall of the Roman Empire prompted a shift from centralized imperial rule to decentralized governance structures, laying foundational elements for contemporary political systems.” DeepSeek, on the other hand, offered an organized answer, broken down into four points. It did not, however, stick to the original question. For example, it provided insight into how Roman law (rather than the downfall) influenced the modern civil law system. Then, it listed a few sources—books like Edward Gibbon’s The History of the Decline and Fall of the Roman Empire. Don’t get me wrong, I love reading paperbacks, but for my daily research relating to work, I tend to stick to digital sources.

DeepSeek, however, might be a smart choice for objective data, structured computations, or technical accuracy. For instance, I asked both models to break down the Pythagorean theorem. Both models offered thorough answers, but DeepSeek included an illustrative visual representation. For users looking for clarity, precision, and supplemental visuals in their research, DeepSeek could offer a distinct advantage.

Idea Generation: Who’s the Better Brainstorming Partner?

When working with an LLM, it’s crucial not to delegate your creativity entirely. AI can be a powerful tool to kickstart ideas, expand your pool of possibilities, and handle the parts of the creative process you might not enjoy—like headline writing or social media captions. However, it’s important to maintain control. AI should free up time for your best thinking, not replace it.

With that in mind, both ChatGPT and DeepSeek have proven valuable for idea generation. Since ChatGPT is often associated with creative tasks, while DeepSeek has a reputation for more technical prowess, I tested both with the following prompt:

“Please generate a list of article ideas about the AI race.”

I wanted to see how each model would interpret the vagueness of the prompt—which “race” it would focus on (competition between models? Between countries?)—as well as how it handled the lack of criteria (e.g., SEO optimization, authoritative tone).

ChatGPT generated its reply a few seconds faster, but DeepSeek’s response was more in-depth—producing 24 ideas compared to ChatGPT’s 20, and organizing them into eight categories (e.g., “Cultural and Philosophical Perspectives” and “Ethical and Societal Implications”) versus ChatGPT’s four. Both models generated thoughtful ideas that reflected today’s narratives surrounding AI across multiple dimensions.

While ChatGPT’s suggestions were sophisticated and aligned with the current media landscape, DeepSeek remains a strong contender. If your work relies more on structured insights than imagination or creativity, DeepSeek could be a valuable addition to your toolkit.

Coding: A New Open-Source Power Player?

Investor and entrepreneur Marc Andreessen called DeepSeek R1 “one of the most amazing and impressive breakthroughs I’ve ever seen — and as open source, a profound gift to the world.”

So, what do developers think?

While it depends on the goal and situation, the consensus seems to be that DeepSeek’s R1 is a great option. Some are saying it’s the best model at the moment. At the very least, it’s the first open-source model to compete with the current juggernaut leaders like OpenAI and Google. For developers looking for transparency, flexibility, and high performance in their coding projects, DeepSeek’s open-source model is an excellent choice.

Models like ChatGPT and DeepSeek are evolving and becoming more sophisticated by the day. Meanwhile, new players like Alibaba Cloud, Zhipu, Moonshot AI, and ByteDance are entering the ring. For the average AI user, navigating this increasingly crowded market might feel overwhelming—but ultimately, more competition means better, more accessible tools. If DeepSeek’s arrival has proven anything, it’s that as AI advances, it also becomes more user-friendly. So experiment, explore, and stay tuned.

Feature Image Credit: GREG BAKER/AFP via Getty Images

By Aytekin Tank

Follow me on Twitter or LinkedIn. Check out my website.

Aytekin Tank is the founder of Jotform—a bootstrapped global SaaS company that provides powerful online forms to +25 million of users. He is a… READ MORE

Sourced from Forbes

Amid the rise of ChatGPT, and conversational search more broadly, Google is losing ground as the key discovery platform on the web.

Well, by “losing ground”, I mean that its share of the search engine market dropped below 90% for the first time in a decade last year. So it’s still by far the dominant discovery tool, but the AI shift is having at least some impact on its core business.

As you can see in this new chart, created by the team at Visual Capitalist, while Google has lost ground slightly, Bing has increased, which is presumably due to Microsoft’s partnership with OpenAI, which has led to Bing’s integration of more AI elements (while ChatGPT also displays Bing results).

Indeed, back in 2023, after Microsoft announced the integration of ChatGPT results into its Bing search engine, Bing downloads increased tenfold as a result.

Long considered the “other” search engine, generative AI has made Bing more relevant, though Google is working to counter that with its own AI elements.

Which, presumably, will ensure that Google remains the leader in online discovery, but it is interesting to note this shift, and to consider what the AI shift means for discovery moving forward.

Check out the infographic overview below.

Sourced from Social Media Today

By Jose Enrico

A staggering $15.5 million for just a URL.

In a savvy business move, OpenAI CEO Sam Altman kept attention this week with a single, innocuous tweet: chat.com. Clickers were neatly redirected to OpenAI’s much-touted AI-powered chatbot ChatGPT.

Far from simply a redirect, the acquisition of this domain speaks to the continued effort of OpenAI to consolidate its branding and expand its influence within the conversational AI space. It’s just a URL, but its price is enough to give you the shock value you need for a week.

How Much is Chat.com Domain?

One highly prized domain name for chat.com was owned by Dharmesh Shah, the cofounder and CTO of HubSpot. In early 2023, Shah bought the extremely costly chat.com domain for a staggering $15.5 million, The Verge reports.

It was that same year when Shah admitted to having sold the domain again, this time mum as to the identity of the buyer or even the exact sale amount. Shah did admit that it was a profitable sale.

Then, Altman confirmed that OpenAI bought chat.com, and Shah further added to the mystery by claiming in an X (formerly Twitter) post that there might have been shared aspects of the sale, perhaps it was not as simple as cash, after all.

Why It Matters in Dropping ‘GPT’ Within the Overall Brand Evolution for Open AI

The deal fits with a generally larger effort at rebranding. A cleaner, more universal domain name is a move away from the technical “GPT” designation toward one that reflects a name that can be valued by more people.

It comes just after OpenAI launched in September the “o1” reasoning models—a move the company believes will push the firm toward the simplification of nomenclature. So said Bob McGrew, former chief research officer at OpenAI, on the new model names: meant to be more intuitive of OpenAI’s mission.

Domain Hoarding: The Internet’s High-Stakes Real Estate Game

The sale of chat.com is symptomatic of a trend towards increasingly expensive domain deals. Domain names that are unusual and memorable have always been seen as the digital version of real estate.

Companies fight over vanity URLs that can enhance their brand image. Recently, AI startup Friend made headlines by buying friend.com for $1.8 million and then raising $2.5 million in funding.

In contrast, OpenAI’s $15 million+ investment in chat.com, if paid in full or shares, is very small compared to the company just closing on a $6.6 billion funding round.

The Value of Chat.com for Open AI Future

OpenAI is projected to continue shaping the conversations that take place around conversational AI. A simple yet memorable URL provides access to AI tools and leverages opportunities for further growth in this rapidly changing world of artificial intelligence.

This strategic acquisition for OpenAI underlines a commitment to brand clarity and user accessibility, leaving it well-poised for expansion.

Well, Altman knows that this was necessary in the competition against other AI companies. It’s a brilliant take to give users a chance to access ChatGPT in the easiest way possible. On top of that, it’s one of the keys to win the chatbot war—the modern war of tech giants in AI space.

Feature Image Credit: Kevork Djansezian/Getty Images

By Jose Enrico

Sourced from TECH TiMES

By Jodie Cook

Everyone wants to scale their business but hardly any make it a success.

Only 22% of new businesses launched in the past decade have pulled it off. 70% of startups struggle to scale, and half of small businesses don’t make it past year five. The odds don’t look good.

But here’s the thing. Two-thirds of the value created in new businesses happens during scale-up. Companies that nail their scaling are three times more likely to succeed.

It’s an important phase and the rewards are there if you can crack the code. Join the 22% with 7 ChatGPT prompts to help you scale.

Scale your business with ChatGPT: prompts for ideation, planning and success

Know when to make your move

“Adopt the role of a business analyst. What are the key indicators that suggest my business is ready to scale? Help me assess whether now is the right time to expand in [describe your industry/niche].”

Timing is everything. Don’t jump too soon, but don’t miss your window. Use this prompt to get it right. If you decide it is time to scale, move on to this next prompt.

“Guide me through developing a scaling strategy that aligns with my current business model and market conditions. What steps should I take to prepare for growth? Ask 5 questions, one by one, about my business plan before providing a draft strategy [Include your business model and business plan]”

A solid plan is your roadmap to success. Without it, you’re just wandering. ChatGPT can suggest areas to explore that you may have missed.

Spot your scaling opportunities

“Acting as a growth advisor, help me identify potential scaling opportunities, such as new markets, products, or services. How can I evaluate and prioritize these options in line with the scaling strategy outlined. Here’s what we have tried so far: [describe that here]”

The right opportunity can skyrocket your growth. Get a list of ideas, discount those that won’t work, then choose a few and double down.

Prepare for the pitfalls

“What are some common challenges businesses like mine face when scaling, and how can I mitigate them? [Add more specific business details if required] Provide specific strategies for navigating potential pitfalls.”

70% of scale-ups fall short in at least one critical area, identified by McKinsey as being product & strategy, go to market, technology, people, operations, capital and governance. Cover all your bases.

Build your dream team

“Help me create a plan for scaling my team as my business grows, especially as I explore [specify the strategy you want to explore]. What roles should I prioritize hiring for, and how can I maintain a strong company culture? Here’s information about my team right now: [include that here]”

Your team can make or break your scaling efforts. Get a second opinion on the people you have in place, and build up with the best new hires.

Get your finances in order

“What financial considerations should I keep in mind when scaling my business as planned? Guide me through managing cash flow, securing funding, and planning for financial sustainability. First, ask me questions about my current finances so you have a deeper understanding of my situation.”

Successful scale-ups raise 250% more investment than anticipated. If you’re going for funding, be prepared for a windfall when you get this right.

Streamline your operations

“Assist me in refining my operations to support scaling. What changes should I consider in processes, technology, or partnerships to handle increased demand? First, ask me questions about my current operational setup and point out any areas of concern. Then move onto adaptations required for scaling.”

Efficiency is key. Make sure your operations can handle the growth, then throw everything at the top of the funnel. Without this step, your business could buckle under the strain of even your first efforts at scaling.

Scale smart, scale fast: ChatGPT prompts for insane business growth

Use these prompts to start your scaling journey with ChatGPT. Tailor them to your business for personalized advice and keep refining your plan until you’re confident in your scaling strategy. Get better as you get better.

You’ll know you’re ready to scale when the stats motivate you, not scare you off trying. Join the elite set of startups that successfully scale. Your scaling journey starts now. Make it count.

Feature Image Credit: getty

By Jodie Cook

Founder of Coachvox AI – create an AI version of you. Forbes 30 under 30 class of 2017. Post-exit entrepreneur and author of Ten Year Career. Competitive powerlifter and digital nomad.

Sourced from Forbes

By Jodie Cook

LinkedIn has over 1 billion users from 200 countries. 16.2% use it daily. 49 million people look for jobs there every week. LinkedIn is where the money’s at. But when you’re a busy founder, you don’t have time to mess around. Writing posts takes ages and you have other things to do.

ChatGPT can help. Here’s how to make it write LinkedIn posts just like you in five simple steps. Copy, paste and edit the square brackets in ChatGPT, and keep the same chat window open so the context carries through. Be proud to publish every time.

Make it sound like you

Your posts should sound like you wrote them. Not a robot. ChatGPT needs to get your style. How you talk. What words you use. Head to LinkedIn, look at your analytics and find your top performing posts of all time, then give ChatGPT those as examples so it can copy your vibe.

“Your task will be to write my LinkedIn posts. First read these posts I wrote. Tell me how I write and create a style guide to use in the new posts. Make the style guide include what kind of words I use, my sentence length, my tone and style and structure. Include what makes my writing unique. [Include example posts]”

Read what it says. If it’s right, move on. If not, give it more posts or explain what it got wrong.

Pick your topics

Your goal is to reserve a space in someone’s head for the thing that you do. Especially on LinkedIn. If a connection thinks of someone else first, you’ve lost the game. To achieve this, stick to what you know, and do it consistently. Keep going until people see you as the expert, and then don’t stop. Pick three or four main things you’ll post about, which become your pillars. Your followers will know what to expect from you and this matters for showing up online.

“Now, give me 10 ideas for LinkedIn posts about these topics: [list your content pillars, based on the topic you want to own and be known for]. Present the ideas using one sentence for each one and make them punchy.”

Look at the ideas and choose the best ones. Take them forward using the next few prompts.

Get the post

Good instructions make good posts. Bad ones make rubbish. Get your instructions right and ChatGPT will pump out killer content. Spend time on this bit because it pays off.

“Let’s go forward with idea [select the idea you want to go forward with first]. Use my writing style that we just described. Start the post with a hook, which should be a short, sharp, punchy line that grabs attention with my target audience but should not be a question. Then add a rehook, a short line that comes after the hook, that sets up the post and signposts the rest of the post. The main part of the post should fill a knowledge gap in my target audience, so I should help them do something in distinct steps, adding value with each one. Write new sentences on new lines, with line breaks. The penultimate line should be a compelling statement that strongly states one of my audience’s strong beliefs back to them. The final line should invite engagement on my post, inviting people to comment. Make sure the answer to this question is something they would be proud to share. Before you write this post, ask me questions about my target audience. Then ask for a personal story to incorporate in the post.”

Make it better

First drafts are never perfect. That’s fine. Read what ChatGPT writes. Then make it better. This is where okay posts become great ones. The ones people remember and share.

“Change this post to make it more [specify what you’d like changing, for example chatty, professional, simple, punchy]. Do not use these words [include the words used in the post that you wouldn’t use in real life]. Also don’t [anything else you’ve spotted that you don’t like]. Now give me the post without the section titles.”

Keep re-prompting until you love it. The more you tell ChatGPT, the better it gets at writing like you.

Double check

ChatGPT forgets things. Chances are, with this journey of prompting you’ve just undertaken, it’s gone away from your original style guide. So here’s where you double check. Get ChatGPT to mark its own homework by comparing the draft post with its original instructions.

“Now review this draft and refine it to better match my style. Shorten any sentences that are longer than [specify, for example ten words], and simplify any complex language, including [specify sentences that are too complex]. Replace any words that don’t sound like me with ones I would use. The part that I think doesn’t flow well is [specify that here if applicable], so rewrite it to sound more natural. Add any final touches to make the post engaging and authentic. Once refined, give me the final version ready to post.”

Now ask it to repeat this process for the other ideas you liked. Give ChatGPT the rest of the numbers, one by one, until you have a month’s worth of content ready to go.

“Now let’s learn from this process and repeat it to create post idea [number]. Ask me questions before creating the post in the same style.”

Level up your LinkedIn with AI power: ChatGPT prompts to grow

Getting ChatGPT to write your LinkedIn posts saves time. But it’s more than that. It helps you post quality stuff that people want to read. Stuff that grows your brand. Make ChatGPT analyse your style, select your topics, then write the perfect prompt. Make it better and double check.

Tonnes of LinkedIn content could be five prompts away. Try these today and watch your likes and comments go through the roof.

Feature Image Credit: Getty

By Jodie Cook

Follow me on LinkedIn. Check out my website or some of my other work here.

Founder of Coachvox AI – create an AI version of you. Forbes 30 under 30 class of 2017. Post-exit entrepreneur and author of Ten Year Career. Competitive powerlifter and digital nomad.

Sourced from Forbes

By Jennifer Jay Palumbo

Of all the professions potentially impacted by ChatGPT, few face more existential threats than human writers. From having their content lifted to training AI to lose freelance gigs outright to algorithms, writers are understandably anxious about what the future holds.

On the flip side, you’ve got companies eager to wield ChatGPT like a budget-cutting lightsaber. According to a Resume Builder report, 58% of businesses using ChatGPT rely on it for copywriting—and 48% of those companies have used AI to replace employees.

For businesses, it sounds like a win: ChatGPT is affordable (even under its paid plans) and cranks out content faster than you can say, “meeting adjourned.” But the truth is, turning to AI over hiring a real, live human writer comes with risks that should give any business leader serious pause.

Herein lies the crux of the ChatGPT problem. Sure, you’re getting content quickly and on the cheap, but spoiler alert: quality suffers. We’ve all seen it before—what you save in dollars, you’ll pay for in reputation. And no one wants their brand’s content to look like the knock-off version of a luxury product.

Using ChatGPT to churn out content is like showing up to a potluck with a store-bought cake and passing it off as homemade. It’ll get the job done in a pinch, but when it comes to building long-term trust and credibility? Not so much.

ChatGPT’s Quirks: From Biases to Blunders

Let’s talk about ChatGPT’s shortcomings. It’s like that well-meaning intern who’s eager but always gets something wrong. The AI is prone to hiccups ranging from unintentional biases (hello, issues with racism, sexism, and more) to factual inaccuracies that can make your brand look like it skipped a few steps in research. (Digital Trends profiled these little AI missteps if you need a laugh—or a reminder to double-check your sources.)

Then, there’s the plagiarism problem. While ChatGPT can generate new content, it’s still pattern-matching based on the information it’s been trained on. This can lead to something dangerously close to existing copyrighted material, which is a great way to land in legal hot water. Nobody wants to deal with lawsuits over blog posts or the PR nightmare of being accused of stealing ideas from a competitor.

Martina Chisholm, Vice President of Marketing at Merit Financial Advisors, puts it perfectly: “At Merit, we use ChatGPT strategically—not as a substitute for human creativity, but as a tool to enhance our content. ChatGPT helps with brainstorming, outlining, and refining ideas, but the human touch ensures our brand’s voice and identity stay intact.”

Exactly. A human writer’s accountability—knowing their reputation and livelihood are on the line—adds a layer of quality control that AI simply can’t match.

Oh, and in case you missed it, ChatGPT spent part of February 2024 spitting out gibberish. Even the worst writers rarely turn in nonsense (though I’ve met a few close calls).

Data Risks and Privacy Nightmares

Let’s not forget about privacy. With employees feeding business data into ChatGPT for various tasks, sensitive information could end up in the AI’s brain (for lack of a better term). And while ChatGPT’s memory isn’t perfect, the last thing you want is your proprietary info swirling around in an AI’s training data. If you value confidentiality (and we assume you do), this is an area to tread carefully.

To avoid an oops-worthy situation, businesses need clear policies on AI use, setting boundaries on what info gets shared, and running audits on ChatGPT’s output. And hey, a little plagiarism-checking software couldn’t hurt either.

Plus, with AI regulations always evolving, staying on top of data protection laws is a must. The last thing your business needs is an embarrassing (and costly) misstep because someone was too chatty with ChatGPT.

Defining Quality in the Age of AI

At the heart of the debate is a question of quality. Are you satisfied with content that’s passable, cheap, and efficient? Or are you aiming for something that makes your brand stand out, something memorable, something human?

As Vox’s Sigal Samuel points out, if the internet becomes an endless echo chamber of ChatGPT-generated content, the AI will eventually start feeding off its own work. Think about that for a second—an infinite loop of regurgitated writing that kills originality and creativity. The worst-case scenario? The internet has become one big, bland blog with all the personality of a cold bowl of oatmeal.

Even if your business isn’t producing the next great American novel, originality matters. Whether it’s a blog post, product description, or marketing email, that spark of creativity is what separates you from the pack. In a crowded marketplace, having a unique voice is your secret sauce, your competitive edge. And it’s not something an algorithm can replicate—at least not yet.

ChatGPT: A Tool, Not a Takeover

In the end, it’s about making smart choices. Sure, ChatGPT can crank out content, and in some cases, it’s a useful tool to have in the mix. However, businesses that lean too heavily on AI run the risk of sounding robotic (literally) and losing the personal touch that connects with customers.

Writing is a craft—a skill that takes time to hone and effort to master. If we settle for “good enough,” we risk losing what makes our brands, our voices, and our messages special. So, while ChatGPT is here to stay, human writers aren’t going anywhere. In fact, investing in good writing might just become your business’s best-kept secret weapon in a world of AI-generated everything.

After all, when everything starts to sound the same, it’s the brands with a beating heart behind the words that customers will remember.

Feature Image Credit: getty

By Jennifer Jay Palumbo

Follow me on Twitter or LinkedIn. Check out my website.

Jennifer Jay Palumbo is an award-winning writer and journalist with twenty-five years of experience in crafting impactful and engaging content. Specializing in topics around working mothers and neurodivergence, she brings a unique perspective as the mother of a neurodivergent child. Read More….

Sourced from Forbes