OpenAI has introduced a new feature to ChatGPT that lets users interrupt it “mid-thought”, allowing for corrections to be made in real-time to queries.

For businesses using the platform to conduct deep research, or even to handle complicated or multi-layered queries, the new feature could save time and maximize efficiency.

On top of the release of this new feature, OpenAI have recently launched a new web browser, and released the second version of its video editing app Sora. These developments could see it make some strong strides forward in the race to dominate the AI space.

OpenAI Adds Interrupt Feature to ChatGPT

Leading AI company OpenAI has introduced a new feature to its chatbot, ChatGPT, that now allows users to interrupt the chatbot as it’s crafting its answers, in order to make corrections or add new information.

You’ll be able to make changes by clicking the “Update” button in the platform’s sidebar, which will allow you to make changes in real time.

You also won’t lose any progress on your chat or have to restart when using this feature.

New OpenAI Feature Benefits Researchers and Businesses

The “Update” feature could certainly be beneficial for businesses that use chatbots such as ChatGPT to conduct in-depth research and give detailed queries. For example, if you are referencing a document which you later realize is out of date, you can tell ChatGPT to exclude it from its answer as it is “thinking”.

Likewise, it will mean less time waiting around for ChatGPT to produce an answer you know is wrong, before having to correct it with another prompt. Instead, the chatbot can adjust itself as quickly as possible, saving you time and maximizing efficiency.

This update will definitely make the chatbot more collaborative, and benefit those who want to have of a back-and-forth conversation that more closely mirrors real life.

OpenAI Continues Surge of New and Improved Products

This update to ChatGPT comes admist a range of new announcements from OpenAI. Recently, it has released an AI-powered web browser, known as Atlas, which could potentially rival sector leader Google Chrome.

OpenAI have also recently enabled limited access to the second iteration of its highly successful AI video editing app, Sora, which surpassed ChatGPT in downloads over a specific period of time.

No doubt looking to rival competitors such as Gemini and Claude, these new additions could see OpenAI take bold strides forward in becoming the world’s leading AI company.

The AI machine rumbles on.

This month alone, we’ve borne witness to mass layoffs in favor of automation, a lucrative new deal between OpenAI and Amazon, and the first US bill regulating the usage of AI chatbots.

With all signs indicating that there are no brakes on this particular train, it might be time to start thinking about how best to position yourself to meet the demands of the shifting workplace. With that in mind, we’ve put together a list of the best free AI training courses that you can enroll in today in order to hone your AI chops.

You’ll find a mixture of platforms and specific courses with varying lengths, so you can dive in and start learning at a depth and pace that suits you.

Google Skills

Google recently unveiled a suite of more than 3,000 free AI courses under the umbrella Google Skills. Yes, you read that correctly — more than 3,000!

To get access, head to the new Google Skills website and log in with your existing Google account (if applicable). After that, you should enroll into Google’s Innovators program, which will provision you with 35 free credits per month. These credits can be used to redeem courses.

For users that are looking for a bit more access, you can also sign up for monthly or annual subscription, with paid plans starting at $29 per month and going up to $49 per month.

So, whether you’re keen to learn more about how to deploy and manage generative AI models, manage Kubernetes in Google Cloud, or derive insights from BigQuery data, there’s truly an AI course to boost any discipline or vertical.

Browse the full catalog at your leisure, and start learning from the best today.

LinkedIn Learning

Another big training vendor that will let you get started for free, LinkedIn Learning can be a really useful resource for employees who are looking to boost their AI skills to stay competitive.

To get free access to a multitude of courses for one month, you’ll need to sign up for the free trial of LinkedIn Premium. Just be mindful that once the free month is up, your membership will revert to the standard monthly fee, currently $29.99 per month.

If you’re determined to avoid spending a dime, fill your boots — there are over 1,500 AI courses to choose from! While we can’t promise that you’ll make it through every single one in one month, there’s definitely enough there to sink your teeth into.

To register for one of these free courses today, head to LinkedIn Learning and register for a free one-month trial.

IBM: AI Fundamentals

⏰ Length: 10 hours

As part of its SkillsBuild initiative, IBM offers some excellent AI training courses to hone your skills with. Comprising six different courses, AI Fundamentals is a particular standout collection. Those courses are Introduction to AI; Natural Language Processing and Computer Vision; Machine Learning and Deep Learning; Run AI Models with IBM Watson Studio; AI Ethics; and Your Future in AI: The Job Landscape.

Like the name suggests, the course will give you a solid foundation in AI. Among other things, participants will get a decent grasp of the history of AI, explain how it comprehends and analyzes human language, and even have a go at creating their own AI models with IBM’s esteemed Watson Studio.

You can enroll for free by heading to this link. You’ll need to register with IBM SkillsBuild first.

Oh, and did I forget to mention that you’ll earn a credential? Upon successful completion of the course, you’ll receive an industry-recognized digital credential, Artificial Intelligence Fundamentals, courtesy of IBM SkillsBuild.

Udemy: ChatGPT in 30 Minutes

⏰ Length: 30 minutes

This free offering from Udemy has a 4.4/5 average rating from 1,796 reviews — and it’s not hard to see why.

With a full title of “ChatGPT in 30 Minutes – NEW Prompt Engineering & AI Skills,” this short course will give you a rundown of the latest prompt engineering techniques, AI vision, and practical skills including how to use AI for data analytics, generating Python, and how to make an MP4 video with ChatGPT. Not bad for 30 minutes of learning.

Headed up by Andrew and Addison Best, two esteemed and experienced experts in AI, the course has everything casual users need to get the most out of ChatGPT. Simply head to this link to enroll for free and start learning.

Harvard University: Introduction to Artificial Intelligence with Python

⏰ Length: 7 weeks

Helmed by the creators of CS50, one of the most popular computer science courses in the world, Introduction to Artificial Intelligence with Python is an absolute must for software developers everywhere.

Over the course of 7 weeks, participants will explore the “concepts and algorithms” that make up modern AI. This will include learning about graph search algorithms; reinforcement learning; machine learning; AI principles; designing intelligent systems; and how to use AI in Python programs.

It should go without saying, but this is an intermediate level course aimed at software developers with at least some familiarity with Python as coding language. If you fit that criteria, you can sign up for free, committing 10 to 30 hours of self-paced work per week. You can also pay a one-time fee of $299 to get a verified certificate for your efforts.

Why Are AI Skills So Important in the Modern Workplace?

Unless you’ve been living under a rock for the last few years, you’ll have noticed that AI has turned the world on its head since the emergence of ChatGPT in November 2022.

In the years since, businesses have raced to integrate AI models into their everyday processes — sometimes at the cost of creating “AI debt” when these integrations do not run smoothly. At the same time, many companies have pursued a policy of mass layoffs in favor of automation, with Chegg recently making headlines for letting go of nearly half of its workforce.

With many entry-level roles succumbing to automation, and no indication that this trend will let up, workers everywhere face a new challenge: adapt to the shifting sands of the modern workplace or face a fight for survival. In this climate, preparation is absolutely vital — so, I hope this piece gives you some food for thought.

AI is becoming a fixture in the modern hiring process, according to new research from Ipsos and Google. As per the findings, half of HR executives are finding value in using AI tools to match, screen, and rank applicants, with a further 47% using it to identify skills gaps.

On the other side of the coin, prospective employees are leveraging AI to aid with their job searches, while at the same time improving their own proficiency with the technology. The study indicates that nearly 7 in 10 job seekers are currently using the technology.

Ultimately, the research shows that companies are being more careful than ever to avoid hiring mistakes, with the costs of making the wrong choice increasingly unsustainable for businesses in 2025. At the same time, job seekers are putting their faith in AI to overcome skills gaps and identify viable positions to further their careers.

Nearly Half of HR Execs Use AI to Screen Candidates, Says Report

Increasingly, HR executives are using AI in the recruitment process in a bid to avoid costly hiring errors, according to new research from Ipsos and Google. The report, titled Future-proofing careers in the age of AI: Insights for hiring, learning, and growth, surveyed 1,000 US job seekers and 500 HR executives between June and July 2025.

It was found that half of execs are using AI to match, screen, and rank applicants, with a further 47% using it to identify skills gaps. With 60% of HR execs noting a mismatch between applicant skills and employer needs, avoiding hiring mistakes would seem to be high on the agenda for businesses in 2025.

Applicants, meanwhile, are using the technology as both “tool and teacher,” integrating it into their job hunting efforts and improving their own AI skills at the same time. There is a growing belief that AI proficiency is table stakes for employees in the modern workplace, and applicants are honing their skills to try and stay competitive.

Report Illuminates Modern Hiring Crisis

Hiring managers are increasingly turning to AI to counteract a yawning skills gap between applicants and businesses. According to the study, nearly half of respondents (48%) believe that most applicants are underqualified for the positions that they’re applying for. Specialized fields, such as technology and healthcare, are bearing the brunt of this issue.

Not only are HR execs using AI to identify top candidates, but they’re increasingly looking towards more experienced professionals. Nearly two-thirds (64%) are turning to mid-career professionals, while an added 43% are targeting specialized roles.

The vetting process is becoming more rigid, too. The study finds that nearly half (49%) of hiring managers have begun to introduce formal skill assessments to the hiring process, including technical tests, job simulations, and cultural fit evaluations.

AI Solidifying Status as Workplace Mainstay

Everywhere you look, the evidence grows that AI is no longer a nice to-have — it’s fundamentally reshaping the modern workplace. Recently, it was revealed that the number of employees skipping meetings due to AI was growing, with as many as 29% of workers admitting to truancy in the belief that AI tools would fill in the gaps.

Elsewhere, AI-related layoffs continue apace, with many companies letting go of employees in favor of automation. This trend will likely only become more pronounced as AI models improve and demonstrate new and compelling use cases.

This poses both a challenge and an opportunity to workers everywhere. While some entry-level roles can expect to feel the squeeze, employees should embrace the possibilities of this burgeoning technology, which can serve as an invaluable tool in helping people to carry out their day-to-day tasks.

Despite not even being a year old, the term vibe coding has been named word of the year by Collins English Dictionary, beating other contenders such as ‘bio hacking’ and ‘glaze’.

The term was coined by a founding engineer at OpenAI, and an entire industry has sprung up around it almost overnight, with AI removing the traditional barriers of coding and allowing anyone to give it a go.

The tech is credited with speeding up the coding process and democratizing it.

Vibe Coding Named Word of 2025

Collins English Dictionary, a British publication first printed in 1979, has named vibe coding the word of the year. It narrowly beat other contenders on a final shortlist, including ‘clanker’ – an unsympathetic Star Wars-inspired term to describe robots and AI, ‘bio hacking’, which describes efforts made to extend life by manipulating the body, and ‘glaze’, which describes heaping cringe-worthy praise on someone.

It’s no surprise that the list was tech-heavy, but even less surprising that it was vibe coding that topped the poll. Google Trends shows that the term has had a meteoric rise since it was first coined at the start of the year:

Interest in 2025 for vibe coding on Google Trends

The term was invented in early 2025 by Andrej Karpathy, a founding engineer at open AI, and former director of AI at Telsa. It’s origin can be traced back to an X message Karpathy posted in February this year. However, he does state that vibe coding, isn’t coding exactly:

it’s not really coding – I just see stuff, say stuff, run stuff, and copy paste stuff, and it mostly works. – Andrej Karpathy

What is Vibe Coding?

At its heart, vibe coding is the practice of turning natural language into code, without the need for hundreds of hours to learn Python, SQL or other languages. This has been enabled thanks to the recent advances in AI, which is essentially playing the middle man here and interpreting what the user is asking, and spitting out usable, working code.

Its biggest success, and likely the chance why it has suddenly skyrocketed in popularity, is that entirely demystifies the process of coding, and makes it available to all. This is especially true now that there are many dedicated vibe coding platforms that can make accessing the tech even easier, with many available for free.

With these tools, the sky is the limit. Users are able to create apps, websites, programs…essentially anything that requires code, but without needing to know a lick of the language.

How to Start Vibe Coding

If you want to get started in the world of vibe coding, we’d suggest opting for one of the many platforms out there, such as Base44, Replit and Lovable, all of which have been designed to remove as many barriers as possible to the world of coding.

As mentioned, many offer free tiers to their services, but if you have a big project in mind, you’ll soon run up against the limits of the free offerings. Vibe coding platforms work by allowing users access to a certain number of credits. Each credit essentially represents a prompt, which is an instruction you write to make your project come to life. However, vibe coding is a process of honing and improving, and as such you might burn through your credits rather quickly as you tweak your app to perfection.

If you’re serious about getting into vibe coding, we’d suggest going with a paid vibe coding plan to get the most bang for your buck.

Impersonating executives, manipulating messages, altering notifications, and forging identities in video chats? You might be a hacker aware of the latest vulnerabilities in Microsoft Teams.

That’s according to a new report from Check Point Research that found four different critical flaws in the popular software used by more than 320 million people worldwide.

Don’t get too worried, though. The researchers reported it all to Microsoft last year, and all issues have now been successfully addressed and fixed. Here’s what to know.

What the Flaws Made Possible

The potential fallout from all the issues could have been massive. According to Check Point’s full report, the real-world risks cover “executive impersonation, financial fraud, malware delivery, misinformation campaigns, and disruption of sensitive communications.”

But what specifically did they find? Here’s the quick summary of how each of the four flaws worked:

• Hackers could edit Teams messages while avoiding the “edited” label that’s intended to let everyone know if a message has been altered. This can allow them to trick users, or to fake a messaging history.
• They could also change message notifications, making them appear to be from another sender. This could be easily used for undetectable phishing attempts.
• Bad actors could also edit display names within private chats.
• They could even edit caller identities on both video and audio calls.

The Biggest Danger? Executive Impersonation

Paired with AI deepfakes and other modern hacker technologies, all these flaws definitely open the door for faked messages and complex impersonations.

The biggest potential risk? Executive impersonation and social engineering. Bad actors could have used these flaws to alter messages and caller IDs. As the researchers explained it:

“In private chats, a malicious guest user could impersonate someone internal, such as a finance department member. Notifications can be spoofed to display a false sender name, preying on the instinct to trust official-looking notifications, potentially from authority figures or top executives.” – Check Point spokesperson

Their team disclosed all these vulnerabilities to Microsoft back on March 23rd, 2024, and by late October, all vulnerabilities had been fixed.

Staying Safe at Work

Granted, these types of flaws are concerning even when they have been fixed. The fact that a business software used by hundreds of millions of people could have undermined trust so deeply is troubling.

After all, entirely avoiding social engineering, scams, and phishing attacks is impossible even under the best circumstances. We recommend taking plenty of precautions for your own company, from multi-factor authentication to password managers to regular training lessons on the value of checking for spelling errors or unusual activity from internal emails.

When you can’t trust your own business software to tell you when a message was edited or who’s calling for a video chat, even those defenses start to look shaky. Here’s hoping it’s all fixed for good.

IBM has just announced that it will be laying off a “low single-digit percentage” of its workforce around the world in the fourth quarter.

The tech giant had about 270,000 global workers, as of an estimate from the end of 2024, so the number of employees getting a holiday season layoff is likely somewhere around 2,700 or higher.

It’s just the latest sign that the years-long plague of tech industry layoffs is in full swing, with the rise of AI technology marking one big reason why IBM and many others are so set on downsizing.

IBM Sees ‘Rebalance’ After a Review

IBM’s statement on the upcoming role cuts was issued on Tuesday.

While the company has been bullish on AI under the auspices of CEO Arvind Krishna, this round of layoffs hasn’t mentioned AI as an official reason for the workforce reduction, and instead points to a routine rebalancing.

“We routinely review our workforce […] and at times rebalance accordingly. In the fourth quarter we are executing an action that will impact a low single-digit percentage of our global workforce.” – IBM spokesperson

The company’s shares have risen over 35% this year, reports Reuters. IBM is the largest industrial research organization in the world.

Tech Layoffs Continue

IBM has hinted at an AI push being behind their new approach to productivity. Just last month, the company released a study indicating that 66% of senior leader responses claimed AI had “already driven significant productivity improvements across their organization.”

The multinational tech company is shifting heavily towards a software focus, experts say, and is hoping to benefit from increased spending on cloud-based services. However, last month, the company logged a slowdown in that exact business segment.

While IBM’s new announcement certainly isn’t the only big layoff news this year — or even this month, thanks to Amazon’s five-digit layoff announcement last week —  it’s not exactly turning the tide, either. Tech workers are seeing fewer and fewer opportunities for software engineers, infrastructure architects, and many more are finding it increasingly tough to stay employed.

Will the AI Bubble Pop Soon?

Studies point to an unclear return-on-investment for generative AI models. Some are predicting an AI bubble pop is on the way in the near future, as well.

Still, the average worker is responding to all the hype by doing the only thing they can: Seeing how they can fold AI bots into their own workflows to help them justify their jobs with productivity boosts where possible.

All we can say for sure is that tech workers everywhere are finding it increasingly hard to keep earning a living wage in the industry.

Another day, another OpenAI partnership, with the company of ChatGPT fame signing yet another deal to further advance its AI model, this time with Amazon.

OpenAI has run a full-on partnership gauntlet over the last few months, signing deals left and right with companies that can help it achieve the lofty AI goals set out by CEO Sam Altman.

Now, Amazon is joining the fray by providing computing power to OpenAI in exchange for $38 billion.

OpenAI Partners With Amazon for Computing Power

Announced on Monday, OpenAI has agreed to pay Amazon $38 billion over the next seven years in exchange for the company’s expansive cloud computing services.

The deal will give OpenAI access to “hundreds of thousands” of AI chips from NVIDIA, which are currently being used to power the Amazon Web Services (AWS) system for the company.

Previously, OpenAI had an exclusive partnership with Microsoft to provide all of its computing power. However, that deal was renegotiated last week, opening the door for the AI company to explore other opportunities without their approval.

Why Is Amazon Partnering With OpenAI?

$38 billion is a lot of money, which begs the question. Why is OpenAI paying Amazon so much money for its computing power? Well, the answer is pretty obvious if you’ve been following the AI company over the last few months.

“Scaling frontier AI requires massive, reliable compute. Our partnership with AWS strengthens the broad compute ecosystem that will power this next era and bring advanced AI to everyone.” – Sam Altman, CEO of OpenAI

In so many words, OpenAI needs more power to make its lofty AI goals a reality, and the only way to do that is with the vast computing infrastructure that is provided by Amazon and the AWS platform.

OpenAI and Its Many Deals

This deal with Amazon is far from the first big partnership that OpenAI has entered over the last few months. In fact, $38 billion isn’t even that much compared to the cumulative $1 trillion (with a T) that the company has doled out to bolster its AI offering.

OpenAI entered into a deal with chipmaker NVIDIA to the tune of $100 billion, and also announced a partnership with chipmaker AMD, although the amount was not disclosed for that one. Beyond that, OpenAI has also signed a deal with Google in June, Oracle in September, and Broadcom earlier this month.

Yes, many have speculated that these deals are proof of an AI bubble, given that money keeps bouncing back and forth between a select few AI companies. But given the demands of AI technology on our infrastructure, it could just mean that OpenAI is trying to position itself as the only company prepared to take the next step.

Hackers are apparently going after the little guys in 2025, with information from Proton showing that 71% of data breaches have targeted businesses with fewer than 250 employees.

There’s no denying that data breaches have become a hot-button issue for businesses in the modern era. They have become troublingly common, with the cost of each cyber attack putting businesses at risk of financial loss and even insolvency.

Even worse, these bad actors appear to be targeting smaller businesses a lot more than large corporations, likely due to the lack of resources available to fend them off.

Small Business Most at Risk of Data Breach

According to data from Proton, which tracks data breaches across the business landscape, there have been almost 800 attacks in 2025 so far, exposing more than 300 million records of user data.

On top of that, small businesses have been in the crosshairs, with 23% of data breaches occurring at businesses with fewer than 10 employees, and 48% of data breaches occurring at business with between 10 and 250 employees.

That amounts to 71% of data breaches occurring at business with fewer than 250 employees.

Why Are Small Businesses Targeted Most?

The sad truth that small businesses are targeted more than large enterprises when it comes to cybersecurity threats is not a new phenomenon. In fact, for the last decade, studies have found consistently that hackers are far more likely to focus on companies with fewer employees.  So, why is that?

In all likelihood, hackers are targeting small businesses for a couple of reasons. For one, they have fewer resources and smaller budgets, which means they likely aren’t spending much on cybersecurity to ward off attacks.

On top of that, fewer employees means fewer lines of defense, so the path to a hack generally presents fewer obstacles at small businesses.

How to Protect Your Business from Data Breaches

Cyber criminals are targeting small businesses because, generally speaking, they are easier to hack than large corporations. Luckily, that doesn’t have to be the case for your particular business.

For starters, you need to train your employees. The reality is that human error is still the most common entry point for the majority of breaches, so if your employees know what to look out for, these hackers won’t be able to pull it off.

Beyond that, invest as much as you can in cybersecurity. Obviously small businesses are often working with much stricter budgets, but when you consider the potential cost of a data breach, these kind of security protocols are more than worth the cost.

OpenAI has become a staple of the tech industry over the last few years, thanks to the vast, expansive popularity of ChatGPT. As a result, many are itching to invest in the AI company. But is it even possible?

Unfortunately, OpenAI isn’t a publicly traded company as of May 2026, which means that investing will have to wait. The good news is that there are rumors that the company could go public very soon, so you’ll just need to bide your time.

Even better news, OpenAI isn’t the only AI company out there, and there are quite a few alternatives that are ready and raring to accept your investment.

Can You Invest in OpenAI?

OpenAI is a privately held company as of writing, which means that everyday people are not able to invest in the AI venture just yet.

This is likely a big bummer to those interested in investing, particularly because the company has seen such substantial growth over the last few years, which has been fueled by massive investments from other tech companies like Microsoft and NVIDIA.

However, despite its popularity — or even because of it — OpenAI isn’t exactly making money just yet. In fact, OpenAI lost $11.5 billion last quarter, according to analysis of Microsoft earnings by The Register.

Does OpenAI Have Plans to Go Public?

While there has been no official word from OpenAI about the company’s plans to go public in the future, there has been plenty of speculation about the possibility.

It started with a late-2025 report from Reuters, which found that “three people familiar with the matter” said OpenAI is paving the way for an initial public offering (IPO) as early as the second half of 2026.

By May 2026, several more reports indicated that OpenAI could be just weeks away from filing to go public: CNBC said on May 20 that the company might be filing a draft of its IPO prospectus as soon as Friday, May 22.

OpenAI is still playing it close to the chest, with a spokesperson not willing to divulge the plans in an official quote.

“An IPO is not our focus, so we could not possibly have set a date. We are building a durable business and advancing our mission so everyone benefits from AGI.” – OpenAI spokesperson

AI Companies That Are Publicly Traded

If you’re really itching to start investing in companies like OpenAI, we’ve got good news for you. There are plenty of AI-focused companies that are publicly traded on the stock market that you can whet your appetite with.

The most notable is NVIDIA. The company, which produces chips for AI companies around the world, has seen a meteoric rise over the last few years thanks to the AI boom. Just this week, the company became the first $5 trillion company in human history.

On top of that, all the big tech companies you’ve come to know are heavily invested in AI, and you can always invest in them. Microsoft, Alphabet, Meta, Apple, and Amazon are all pivoting to AI in some capacity, while other heavy hitters like IBM, Adobe, and Oracle are also viable options.

Artificial intelligence is pretty much everywhere in 2026. From business software providers adding AI features to their platforms to people using ChatGPT for therapy, the technology continues to get more and more engrained in everyday life.

As a result, the new lingo and jargon that’s been bouncing around the tech industry for the last few years is starting to find its way into more casual settings, and understanding it is becoming more and more vital for those that want to stay in the loop.

So, in this guide, we’ll explain some of the AI terms you have or may not have heard over the last few years, in hopes of providing you with a bit context when the topic inevitably comes up at your business.

AI Terms Explained

Below, we’ve chosen some of the more common and commonplace AI terms and provided brief but helpful definitions and explanations. To learn more about AI in general, be sure to check out the AI content on Tech.co.

AI (Artificial Intelligence)

AI stands for artificial intelligence, a broad term for any technology that seeks to replicate human intelligence. More specifically, artificial intelligence refers to technology that can think and learn like humans do.

Algorithm

An algorithm is the set of instructions provided to an AI model, or any piece of software really, that dictates how it operates. The TikTok algorithm, for example, describes the way in which the social media platform operates for specific users.

Chatbot

A chatbot is an AI-powered piece of software that is designed to replicate a human interaction through a messaging or voice-activated platform.

Data mining

Data mining is the practice of harvesting huge sets of data from users with the propose of using that data to recognize patterns and inform software on how to better serve users.

Deepfake

A deepfake is an image or video that features the likeness of a person that exists and is generated entirely by AI. The technology is concerned extremely dangerous and is making scams much harder to spot in 2026.

Generative AI

Generative AI describes any artificial intelligence program that generates something, including written copy, images, and video. Most of the artificial intelligence in the news right now is generative AI, including tools like ChatGPT and Gemini.

Hallucination

An AI hallucination is defined as the common occurrence of an AI platform providing incorrect, false, or misleading answers to user queries. AI errors have unfortunately become very common for the software, but hopefully it will get better over time.

Large language model (LLM)

A large language model, or LLM, describes an AI model that is specifically trained on massive data sets of text, so that it can understand natural language prompts and respond in turn with equally human-like answers.

Machine learning

Machine learning is a type of AI that focuses on a particular model learning in the same way as humans. As such, a program with machine learning will improve and grow over time on its own, without human input.

Natural language processing (NPL)

Natural language processing, or NPL, is defined as the type of AI processing focused on understanding queries and providing answers that mirror the kind of language used by actual humans in conversation.

Neural network

A neural network is a type of AI processing that resembles the human brain, using connected nodes — or neurons — organized in layers. This allows for more in-depth “thoughts” from the AI, but it does require massive sets of data to accomplish.

Prompt

In the context of AI, a prompt is the text you input to an AI model. Prompts can come in many forms, including questions, queries, or commands, and can feature many different factors, like links, images, or video.

Recognition

When talking about AI, recognition generally refers to image recognition, in which a user will input an image or video and AI technology is used to recognize certain elements within it.

Token

A token is an allotment for prompts used on AI platforms. Essentially, AI platforms like ChatGPT will only allow users a certain number of tokens, depending on how much they pay. Tokens are also called “credits” or even just “messages,” sometimes depending on which platform they’re on.

Training data

Training data describes the massive sets of data that are used by AI companies to train their models in hopes of making them even more intelligent over time.

Vibe Coding

A term used to describe coding without using an actual coding language, vibe coding lets users create apps, websites and software with simple plain text prompts. It means that literally anyone can code now, thanks to AI.

The Importance of Understanding AI Terms in 2026

If you still think that AI is a passing fad, you are tragically mistaken. The technology is single-handedly propping up the US economy, with one economist noting that nearly 92% of U.S. GDP growth across the first half of last year can be attributed to AI.

Subsequently, the business world has been fully embracing the technology over the last few years, with mass layoffs and pivoting operations sweeping virtually every industry under the sun.

Suffice to say, if you want to remain gainfully employed for the foreseeable future, or just want to be able to hold a conversation with your more tech-enthused friends, understanding these AI terms is absolutely necessary.

With the release of Sora, and more recently Sora 2, OpenAI has made a grand entrance into the video editing software market. The app is able to generate high-quality videos from basic text prompts, and has enjoyed great popularity since its release.

While Sora does present some unique benefits for businesses, including cost and time savings, there are still potential pitfalls, such as privacy risks, that companies should be aware of.

To get access to Sora completely for free, you can use the free trial of a third-party AI provider, such as GlobalGPT.

What is Sora 2 and How Does it Work?

Sora is an AI-powered video creation tool developed by OpenAI, the makers of leading AI chatbot, ChatGPT. It allows users to make videos from text prompts and images, such as storyboards.

Not only can users make their own content, but they can also browse other people’s videos via TikTok-style scrolling.

Recently, OpenAI has released the second version of Sora, known as Sora 2. This upgrade now includes native audio to go along with videos, improved physical realism, sharper detail, and stronger adherence to instructions.

Why is Sora 2 So Popular?

According to OpenAI, Sora 2 has been downloaded over a million times in less than five days. This exceeds the milestone set by ChatGPT when it first launched.

We can only imagine that Sora 2 has been so successful because it makes easy work of video production, allowing anyone to get started, no matter whether they have a background in content creation or not.

Likewise, Sora also offers a range of unique features, including generating audio to go alongside a video, which could also be drawing users.

Benefits and Drawbacks of Sora 2 for Businesses

Here’s what businesses can expect when using Sora:

Benefits

Cost savings

Sora is able to automate a lot of aspects of video production that would otherwise require hiring a team of professionals. By using the app, businesses can bypass these costs, while still making a high-quality and engaging video.

Time savings

Likewise, the automations reduce the amount of time it takes to make a high-quality video, allowing businesses to pull content together quickly without having to worry about the process taking too long.

Ease of use

Simply put, the platform is easy to use. Businesses won’t have to take hours learning how to use video editing software or find the right camera angles. Although some advanced features will take some getting used to, overall, getting started is quick and fuss-free.

Drawbacks

Legal and ethical concerns

There have been headlines circling about the potentially disturbing use cases of Sora. For example, some people have been using the app to create videos of dead celebrities. While OpenAI has implemented some safety measures, users are still finding ways around them.

Businesses should be aware of the risks involved when using AI for content creation, particularly as AI is still likely to make mistakes or produce content that isn’t always appropriate.

Lack of originality

In a digital space where many businesses operate, standing out is key. However, there have been some concerns that AI content lacks originality and, if many businesses start to use it, that all their content will start to look the same. This could be an issue when trying to resonate with your target audience.

Data privacy concerns

Of course, not all platforms are 100% safe and OpenAI alone has been breached more than 1,000 times.

When using apps like Sora, businesses should have data protection measures in place, particularly if you are dealing with sensitive or confidential information.

Can You Get Sora 2 for Free?

Sora is currently only available to a select group of ChatGPT subscribers, on at least the paid Pro or Plus plans, who need to receive a code before they can access the platform.

If you want to get the app entirely for free, you can do so by accessing it through a third-party AI provider, such as GlobalGPT, which gives you access to platforms like Claude, Grok, and Sora. GlobalGPT offers a seven-day free trial of its services, which it claims includes Sora, and some sources online question its commitment to data privacy.

Beyond that, though, you’ll have to fork out at least $20 per month for ChatGPT’s Plus plan if you want access to Sora for longer than a week.

The good news is that there are alternatives to Sora 2, check out our guide to the best free AI video tools.

A new study about the impact of AI note taking platforms has found that nearly a third of employees admit that they have skipped a meeting with the assumption that the generated summaries would cover it.

Over the last few years, the tech industry has promised that AI would make life easier for employees. Beyond the scores of layoffs in that time, this appears to be true, with many employees utilizing tools like AI note taking platforms to improve productivity.

Sometimes, though, they just use it to avoid tedious tasks like meetings, with this new study shining a light on how employees are actually using artificial intelligence in the workplace.

How Common Is AI Note Taking in Meetings?

According to the study from Software Finder, titled AI Note Taking at Work: Benefits and Drawbacks, just under a fifth of employees (19%) state that they are using AI tools to take notes for them during the work day.

As for what they’re using them for, the survey discovered that 29% of employees admit that they have used AI note taking tools and summaries to avoid meetings.

Which employees are using AI note taking more than others? Well, that one is actually pretty obvious, with younger employees doing it more often than others. 43% of Gen Z employees are using these tools, while only 30% of Millennial employees are doing the same.

Pros and Cons of AI Note Taking

Beyond the simple usage numbers, the study also found that there are some serious benefits and downsides to using the technology in the workplace, for both the business and the employees in question.

For starters, the study found that employees using AI note taking technology (28%) get promoted more often than other employees (15%). They also earn more, with employees that use AI note taking technology earning $86,034 per year, while those that don’t only earning $67,709 per year.

Beyond that, workers also note that the technology is increasing productivity, noting benefits like time savings (69%), fewer manual notes (41%), and improved record accuracy (27%).

There are some downsides, though. The study found that workers believe that the technology can lead to inaccuracy/loss of nuance (48%), privacy concerns (46%), and data security risks (42%).

AI in the Workplace

AI tools are becoming more and more common in the workplace and this study shows that employees are starting to get used to it.

That comes with some caveats, though. While AI tools are shown to improve productivity, the quality of work can suffer, with many complaining about AI slop slowing down progress for other employees.

All that to say, AI hasn’t proven to be the gamechanger everyone expects in the workplace just yet. But as it becomes more capable and more widespread, the tide could turn for those that are willing to embrace it.

It turns out that AI is absolutely going to take your job, with educational technology company Chegg announcing massive layoffs and citing the “new realities of artificial intelligence” as the primary reason.

We all knew that AI would shake up the business world in a major way. The technology has proven quite adept at performing specific tasks to improve productivity, even if some companies aren’t seeing a return-on-investment.

Unfortunately, in the short term, that means that the tech industry is laying off employees like never before, and workers at Chegg are tragically the latest victims.

Chegg Announces Layoffs

In a statement from the company, Chegg announced that it would be “restructuring” the business, which translates to 388 employees being laid off. That number represents 45% of the company’s workforce.

These are not the first round of layoffs for Chegg either. In the last year alone, the company has gone through multiple rounds of layoffs that have seen 441 employees let go in May and 319 jobs removed in January.

Chegg notes in the statement, however, that the decision will reduce expenses “by approximately $100-110 million,” so hopefully that makes the fired employees feel a bit better.

Why Is Chegg Laying Off Employees?

Obviously, saving money is always the goal of layoffs. In the Chegg statement, however, the company goes a bit more in-depth, explaining that the current situation in 2025 demands a leaner business model.

“The new realities of AI and reduced traffic from Google to content publishers have led to a significant decline in Chegg’s traffic and revenue. As a result, and reflecting the company’s continued investment in AI, Chegg is restructuring the way it operates its academic learning products.” – Chegg statement

In so many words, Chegg is prioritizing AI over its employees in hopes of using the technology to close the gap in a more affordable way moving forward. And trust us, they are not alone.

Tech Industry Layoffs for AI

Chegg is not the only company firing employees to make room for AI. In fact, the trend has been seriously picking up steam over the last few months, with huge companies making massive cuts to free up capital for AI investment.

Just this week, for example, Amazon was rumored to be considering a 30,000-employee culling that would represent one of the largest in the company’s history. On top of that, companies like Meta, IBM, Salesforce, and many others have admitted that AI is making them reconsider the current state of their workforce.

Simply put, AI is having a huge impact on the business world. More specifically, it’s putting millions out of work with little return-on-investment, paving the way for one of the biggest bubble pops in history.

It’s time to change your Gmail password, with Google confirming that millions of user credentials were included in a massive data leak.

The state of cybersecurity in 2025 is pretty bleak. Data breaches and leaks have become an unfortunately common part of the business landscape, and user privacy has been the primary casualty.

Fortunately, there are steps you can take to ensure that you and your business don’t suffer the consequences of these attacks.

Google Confirms Massive Leak Includes Gmail Passwords

According to an entry in Have I Been Pwned, a massive data leak, which made 183 million email credentials vulnerable, does include a huge selection of Gmail email addresses and, more importantly, passwords.

The breach, which originated in April 2025, not only includes Gmail credentials, but also a huge data set of other email addresses and passwords, representing a significant threat to online security for millions.

This means that hackers will not only have access to Gmail accounts of millions of users, but also the dozens if not hundreds of other services that use Google credentials as a sign on method.

What to Do About Gmail Data Leak

When online platforms are breached like this, users can sometimes panic. Fortunately, there are some clear steps you can take, according to Google, that should mitigate the risks and improve your online privacy.

“This report covers broad infostealer activity that targets many types of web activities. When it comes to email, users can help protect themselves by turning on 2-step verification and adopting passkeys as a simpler and stronger alternative to passwords.” – Google spokesperson to Forbes

In addition to 2-factor authentication and passkeys, Google also recommends using its password checkup feature in the Chrome password manager, which can check if your password is compromised, as well as its overall password health and strength.

Big Tech and Cybersecurity in 2025

It’s no secret that big tech has been struggling in the fight against cybercrime over the last few years. This data leak of email credentials that impacted Google is barely the tip of the iceberg, with attacks becoming more and more common across the industry.

In fact, in just the last month, massive breaches of cybersecurity firm F5 and America Airline subsidiary Envoy Air have exposed the user data of millions, exposing them to potentially dire consequences.

Suffice to say, the business world has a serious security problem, and if they can’t find a way to curb these hackers in a major way, customers are going to start paying the price.

Another CEO has joined the likes of Bill Gates and Nvidia CEO Jensen Huang in stating that AI could lead to a shorter working week.

Zoom CEO, Eric Yuan, stated this week, and not for the first time, that the helping hand of AI is likely to lead to fewer days in the office for us all.

However, with the technology proving disruptive in the workspace, some believe that AI could lead to no more days in the office, with many jobs predicted to be at risk thanks to the tech.

A Shorter Workweek Thanks to AI?

AI could lead to the biggest revolution to the workweek since Ford mandated the 5-day working week, aided by the mechanisation of his factories.

This is certainly the vision of many CEOs, including most recently Zoom CEO Eric Yuan, a great proponent of AI, who at the TechCrunch Disrupt Conference this week stated that the goal was to be working four, or even three days, within the next five years. It’s not the first time he has floated the idea – he said the same thing to the New York Times last month.

He’s not alone. Other business leaders have voiced similar thoughts, including Bill Gates, who goes one further, and thinks we’ll get to a two day workweek in the next decade.

Of course, one question in all of this is if employees are working a shorter week, will CEOs still pay them a full week’s wage? It’s one of the details of the AI workplace takeover that’s yet to be ironed out.

The Rise of the ‘6-6-9’ Workweek

However, while there is optimism in some quarters about the labor saving aspects of AI, in others it’s actually fueling an even longer work day.

Some AI start ups are adopting a 9am to 9pm, six days a week work schedule, in an effort to compete with the fierce threat of competition from China, as reported by Inc.

It’s a far cry from the vision of Yuan and co, instead demanding more sweat and tears from workers in order to keep ahead of rivals.

AI’s Threat to Jobs

Then there’s the other side of AI – the fact that it can be so effective at helping you with your job, it might just do away with you all together. We’re already seeing companies coming forward and stating that they’ve reduced headcount, thanks to AI, and that seems a trend that’s unlikely to stop anytime soon.

Just this week, Amazon has announced that it is cutting 14,000 corporate jobs. In the note to staff about this move, you’ll find a familiar term – ‘AI’. Beth Galetti, Senior Vice President of People Experience and Technology at Amazon credits the technology with enabling the company to operate more leanly, which is likely to be of little comfort to the 14,000 employees currently brushing up their resumes.

This generation of AI is the most transformative technology we’ve seen since the Internet, and it’s enabling companies to innovate much faster than ever before (in existing market segments and altogether new ones). We’re convinced that we need to be organized more leanly, with fewer layers and more ownership, to move as quickly as possible for our customers and business. – Beth Galetti, Senior Vice President of People Experience and Technology

Eric Yuan’s comments this week illustrate the real unknown of AI’s future impact on the workplace, the seeds of which are being sewn now. His views certainly seem the best case scenario, but when they come at the same time as swathes of job losses due to AI advancement, it’s hard to know which outcome to bet on.

Regardless, it’s hard to argue that one way or the other, AI will certainly have a long term impact on how we do our jobs from here on.

Bitcoin is violatile and the mining industry is crowded with competition. That’s the argument pushing more and more bitcoin mining operations to try a new direction: AI computing.

An increasing number of companies are now using their land and existing data centers to sign long-term contracts for artificial intelligence companies in need of computing power.

Miners including IREN, Riot, TeraWulf, CleanSpark, and Cipher Miner are among those making the switch.

AI Rises to Replace the Deflating Bitcoin Bubble

Jefferies analysts found that bitcoin mining profits fell more than 7% across September 2025, due in part to declining bitcoin value, according to a new Yahoo Finance report that highlighted the new trend.

Instead, there’s another big tech boom, as AI workloads are needed now more than ever. In fact, AI use has doubled over the past two years, as a recent Anthropic study found.

Tech giants and AI startups from Microsoft to OpenAI to Anthropic are all pouring billions into developing and boosting AI technology, and they need what bitcoin miners already have plenty of: Consistent computing power in cheap locations.

The Impact of Bitcoin Halving Events

Every four years, bitcoin has a “halving” event, which cuts the benefits of mining in half — naturally deincentivizing mining over time, unless bitcoin’s value continues growing rapidly.

“Bitcoin mining just doesn’t cut it anymore,” Daniel Keller, CEO and co-founder of cloud infrastructure firm InFlux Technologies, told Yahoo Finance, adding that “due to halving schedules, mining is less profitable in the long run than AI computing.”

Plus, there’s one more reason making smaller computing operations attractive to AI companies.

The race to develop the best new AI tools requires quick deadlines, but top cloud giants like Amazon and Google are tied up in multi-year paperwork for their huge grids. This creates opportunities for smaller locations that had previously stuck to bitcoin mining.

Deals at Miner Riot, TeraWulf, Cipher Mining, Others

Who’s making the biggest deals in this sector? Again, Yahoo Finance has the news. For starters, Miner Riot is converting a Texas data center campus to mixed bitcoin and high-performance computing (HPC) infrastructure, which is set to start operating next year.

Together, TeraWulf and Cipher Mining have multibillion-dollar leases for decades-long team-up with AI cloud infrastructure firm Fluidstack. Galaxy Digital has plans to convert its Texas data center for AI and HPC use with cloud infrastructure company CoreWeave.

IREN also pivoting to AI back in April — its stock is up more than 500% since the start of the year.

Amazon might be preparing for one of the biggest job cuts in its history: Reports from anonymous sources claim that the company will lay off as many as 30,000 corporate employees this week.

These cuts would impact nearly 10% of the company’s corporate ranks, although it’s just a fraction of the company’s total workforce workwide, which numbers over 1.55 million.

The reasoning, according to those in the know, is to cut costs and to adjust for overhiring during the peak of the pandemic.

Biggest Amazon Cuts Since 2022

Amazon has laid off similarly huge amounts of employees in the past, even if a number as high as 30,000 is very rare: Starting in 2022 and continuing into 2023, the ecommerce giant cut around 27,000 positions.

The new report comes from Reuters, which cites “three people familiar with the matter” for the news.

Multiple Amazon divisions have been impacted by cuts in the past two years, including devices, communications, and podcasting, among others.

HR, Operations, Devices, and Services Are Reportedly Seeing Cuts

Who’s on the chopping block this week? The new cuts “may impact a variety of divisions within Amazon, including human resources, known as People Experience and Technology, devices and services and operations, among others,” sources say.

These particular cuts haven’t been explicitly tied to AI innovations. However, in June 2025, Amazon CEO Andy Jassy said that AI tools would likely impact jobs, saying “We will need fewer people doing some of the jobs that are being done today, and more people doing other types of jobs.”

Analyst Sky Canaves also notes that Amazon is under pressure to deliver short-term benefits in order to offset the long-term investment costs of creating its AI infrastructure.

Nearly 100,000 Jobs Lost in Tech This Year So Far

At its last count, the job cut watchdog Layoffs.fyi estimates that 98,344 tech employees have been laid off in 2025 so far. By the end of this week, that number might be up.

Still, it’ll have to jump significantly to beat the 153,000 jobs that Layoffs.fyi estimates were lost across all of 2024.

Even if tech jobs haven’t been dropping as quickly as they have for the past few years, the downward trend still isn’t reversing itself. We’ve charted the biggest tech cuts across the last few years, and each one leaves hundreds or thousands of tech employees on a now oversaturated job market.

Australia’s competition regulator has just sued Microsoft. Their claim? That the tech giant mislead 2.7 million customers into signing up for a big 45% Microsoft 365 price hike that they didn’t need.

According to the regulator, Microsoft created new Microsoft 365 personal and family plans that integrated Copilot functionality, and significantly increased the plan’s cost as a result.

It then, allegedly, pushed those new plans on customers without adequately explaining that they could instead opt for a cheaper “classic” plan without Copilot.

Price Hikes of 45% and 29%

The news comes from a lawsuit by the Australian Competition and Consumer Commission (ACCC), and covers Microsoft’s actions from October 2024 until now.

According to the ACCC, the annual subscription price of the Microsoft 365 personal plan increased by 45% to reach A$159 (that’s $103.32 USD) while the price of the family plan similarly increased by 29% to A$179 (or $116.40 USD).

29% and 45% hikes are big increases, so it’s understandable that customers might be interested in a way to keep the same functionality that they were used to without paying the premium for gaining access to the generative AI functionality that Copilot offers.

Customers Only Saw Cheaper Option After Cancellation Process Started, ACCC Says

However, the ACCC’s claim is that Microsoft only revealed that a cheaper “classic” plan was available after customers chose to start the cancellation process, Reuters reports.

If that’s right, customers who might have been unhappy with the dramatic price increase but were still willing to pay it wouldn’t have gotten the chance to see the cheaper option at all.

Worse, it may be illegal in Australia: It breaches Australian consumer law, according to the country’s watchdog, since it creates a false impression of available choices by failing to disclose material information.

Microsoft May Face Penalties of A$50 Million

The ACCC is after penalties, consumer redress, injunctions and costs, and is suing both Microsoft Australia Pty Ltd and Microsoft Corp (its US parent company).

The highest penalty being saught is about A$50 million, or 30% of the corporation’s adjusted turnover during the breach period.

“Any penalty that might apply to this conduct is a matter for the Court to determine and would depend on the Court’s findings. The ACCC will not comment on what penalties the Court may impose.” -ACCC

In an email response to Reuters, a Microsoft spokesperson said the company was reviewing the ACCC’s claim in detail.

Uber will now give the opportunity for drivers to earn a bit more cash, through small “digital tasks” that help the company train its AI models.

The program was announced alongside other developments, all geared towards making Uber the most flexible platform to work on.

While the program will certainly allow Uber to keep up with competitors, it’s doubtful whether drivers will be interested, especially because of complaints surrounding pay in the past.

Uber Drivers Can Now Complete Small AI Tasks as They Wait for Rides

Here’s something Uber drivers can now do while they wait for ride requests: train Uber’s AI models. The app now offers “digital tasks” to drivers to allow them to make a few extra dollars in the car.

These tasks consist of jobs such as recording audio in certain languages or with certain accents, entering documents in different languages, and submitting certain photos.

The amount drivers will get paid will depend on the complexity of the task they undertake. The Verge reports that uploading a Spanish menu, for example, earns drivers a dollar.

Do Drivers Want to Go All In on AI?

The program exists in support of Uber AI Solutions, which expanded earlier this month with the purchase of Segments AI, a startup that uses camera and sensor information to enable autonomous driving. A similar pilot program was carried out in India, where drivers were able to earn small amounts of money responding to prompts in the Uber app.

The move will certainly allow Uber to compete with other companies such as Scale AI and Amazon’s Mechanical Turks, who work with generative AI companies to help train their models.

However, as beneficial as this may be for Uber, there’s a big question mark over whether drivers will be interested in the program, especially as there have been complaints in the past about low pay as a result of Uber’s high take rate on deliveries and rides.

Uber Promotes Flexible Work Solution

The program was announced alongside other developments at the company as it strives towards becoming “the best platform for flexible work,” according to CEO Dara Khosrowshahi.

Most developments are related to how drivers and customers interact with the app. Other announcements made include introducing a new heatmap to direct drivers to high-demand areas, and expanding features for women drivers to have more control over their rides.

While a spokesperson for Uber has said that the AI driver tasks will not be used to develop autonomous vehicles, the company appears to be interested in expanding its offering through AI, so this is something we can keep an eye out for.

Nvidia CEO Jensen Huang has said that future businesses will see humans and AI agents working together, with the agents being more like temps or agency staff brought in to do a specific task.

The setup closely mirrors a similar report from Microsoft, which sees humans and agents working together in human-agent teams, but with humans always taking the leadership roles.

Companies remain eager to implement AI into their workforce, and AI companies want to supply them, but what kind of impact is AI likely to have?

Humans and AI Will Soon Work in Tandem, Says Nvidia CEO

The CEO of semiconductor company Nvidia, Huang, said in an interview that future workforces will be comprised of humans and AI agents working together, in a hybrid arrangement.

Rather than businesses building their own AI agents, Huang said it would be a case of AI agents being like temporary workers or agency staff, that come with a specific area of expertise.

Speaking at Citadel Securities’ 2025 Future of Global Markets conference, Huang noted that the advancements that have been made to AI mean that the makeup of workforces will certainly change, echoing the sentiments of other CEOs.

What Would Human-AI Collaboration in the Workplace Look Like?

Huang’s predictions closely resemble those written in Microsoft’s 2025 Frontier Firm report, which was released earlier this year. The report outlines a similar structure of human-agent collaboration, in a set up that sees all humans set up with an AI assistant, and others leading teams of agents. 

However, rather than having agents work in-house, Huang sees a future where AI agents are used as experts in specific tasks, deployed by leading AI companies such as OpenAI, which Nvidia has recently partnered with.

“Those digital employees are going to work with our biological ones, and that’s going to be the shape of our company in the future.”
– Jensen Huang, CEO of Nvidia

Both Microsoft’s and Huang’s theories see humans remaining at the helm, as the verdict is still out on whether humans would like to be led by agents. A recent study from Workday found that only 30% of respondents feel comfortable being managed by an AI agent.

Is Enterprise AI Rising to the Occasion?

Plenty of firms are now prioritizing using AI, and the technology continues to develop fast. In turn, AI companies have continued to expand their enterprise offering, with Google doing this most recently with Gemini Enterprise packages.

According to leaders in both the AI space and beyond it, the technology will change the workforce as we know it. We’ve all seen the narrative that AI will lead to significant job losses, and some CEOs have gone as far as to say it could wipe out whole tiers of employment.

However, if you’ve used AI yourself, you’ll know it’s far from perfect. AI mistakes are still rampant, and some studies out there suggest that AI isn’t making us as productive as we think. Despite this, as the industry continues to evolve at a rapid pace, Huang’s prediction could soon be our reality.

OpenAI is set to release Atlas, a new web browser powered by ChatGPT, its leading AI chatbot.

With features geared to provide a more personalized experience for users, Atlas could rival search giant Google’s Chrome browser, especially in areas such as ad targeting.

While it’s uncertain how popular the service will be, especially since other browsers already offer similar capabilities, it’s likely the browser will pave the way for more AI-powered web experiences.

OpenAI Introduces Atlas, a Web Browser Powered by ChatGPT

AI company OpenAI has announced the launch of the new web browser, called Atlas, which has been built with ChatGPT. The announcement was made yesterday during a surprise livestream, following rumors of the browser since the summer.

“We think AI represents a rare, once-a-decade opportunity to rethink what a browser can be,” OpenAI CEO Sam Altman said, during the livestream.

While Atlas offers features such as content summarization and task automation, it’s also set to help create a more personalized experience for users, including with browser memories and a unique ChatGPT sidebar. 

Out With Google, In With AI

OpenAI’s most obvious target through the release of Atlas seems to be Google Chrome, the world’s most popular browser. According to Altman, ChatGPT has 800 million active weekly users, and if many of them switch to using Atlas over Google, this could mean a serious loss for the company.

Google currently has some AI features that users can take advantage of. These includes AI mode, a search engine powered by Gemini, and AI overviews, which summarizes content from sites based on a user’s search. While these tools have kept Google in the AI race, Atlas’s offering seems more robust. 

One area where Atlas could potentially overtake Google is ad targeting. Through Atlas, ChatGPT is able to collect information directly from a user’s browser window, which provides a lot of valuable data for companies on their market base. This could help funnel ads more accurately to the right people.

Will Atlas Change the Search Engine Experience?

All of the evidence leans towards Atlas providing a more personalized experience for users. One feature, browser memories, can be switched on to allow ChatGPT to remember key details from the content you browse, which in turn leads to better chat responses and suggestions specific to you.

Users can also access ChatGPT through a sidebar on any site to ask more specifically about what they are browsing.

There is also “agent mode”, where ChatGPT is able to directly interact with websites on a user’s behalf, such as for booking a trip. This feature, however, is only available to paying ChatGPT subscribers.

This could be one of the reasons that Google Chrome remains the more popular option, as it’s free to use. Likewise, some experts think that Atlas’s offering isn’t that impressive, especially since browsers such as Microsoft Edge are already offering similar features.

Whether Atlas becomes the next big browser or not, it definitely paves the way for more AI-powered search functions.