Legendary comedian and actor Kevin Nealon performed on "Saturday Night Live" for almost a decade, acting in some of the series' most iconic sketches. After 40 years in the business, he recently spoke with Fox News Digital about the current state of stand-up comedy and where he feels the industry is headed. Though the medium has evolved into something bigger than ever before, Nealon described the attention spans of modern comedy audiences as much shorter -- something that those involved in the business of humor have had to cater to. "When I started comedy, it was totally different. And it was a totally different time and generation. And it was not as much short attention span. Like, I look back at some of the sketches on'SNL,' and they're a lot longer than they are now because of the short attention span, and a lot of people don't watch'SNL' at that time. They watch it on YouTube, snippets of it," said the comedian, pointing to social media as something that's gotten hundreds of millions of people accustomed to consuming content in short clips and blurbs.

Legendary "Saturday Night Live" cast members Jon Lovitz, Kevin Nealon, and Siobhan Fallon Hogan are reflecting on how comedy has changed since they started in the business, stating that it is more popular than ever -- and has more snark than it once did. Ahead of SNL's 50th anniversary special, Sunday, the three spoke to Fox News Digital about how the comedy landscape, particularly the stand-up comedy scene, has evolved in the era of social media and divisive politics -- marveling at how comedians have exploded in popularity in recent years and developed a freer form and more biting style. "When I started comedy, it was totally different. And it was a totally different time and generation, and it was not as much short attention span. I can look back at some of the sketches on SNL, and they're a lot longer than they are now because of the short attention span," Nealon told Fox, adding, "I think also comedy may have gotten a little more snarkier."

It's easy to decry cancel culture, but hard to turn it back. And as I explain below, the lessons that members of the AI community have learned in this regard can be generalized to other professional subcultures. To understand the flash point at issue, it's necessary to delve briefly into how AI functions. In many cases, AI algorithms have partly replaced both formal and informal human decision-making systems that pick who gets hired or promoted within organizations. Financial institutions use AI to determine who gets a loan. And some police agencies use AI to anticipate which neighborhoods will be afflicted by crime.

Emily, your lamentation that we don't take the time to discuss big, knotty shows in detail anymore got me thinking. And what I think is … I am to blame? I'm not egomaniacal enough to think I alone am to blame. Streaming platforms that drop entire seasons on as at once might be more responsible, but I too play my tiny part in this state of affairs. The first way is: I like it.

Today, most big brands are utilizing ever-chipper chatbots to augment and enhance their customer service teams. This means customers can make changes and get answers at the click of a button, day or night. Instantaneous Customer Service: In order to cater to our population's increasingly short attention spans, brands are investing in technology that caters to "instantaneous" customer service. An example of this is AI-powered biometric tracking technology, which can analyze customers' facial expressions and vocal tones as they're experiencing a product. Predictive Personalization: Ever wonder how Netflix knows the perfect show to suggest next, or why your Instagram ads always suck you into buying?

You probably won't get to the end of this article. Everyone knows our attention spans are getting shorter. In the always-connected world of social media, smartphones and hyperlinks in the middle of everything you read, it has become that much harder to stay focused. And there are statistics too. They say that the average attention span is down from 12 seconds in the year 2000 to eight seconds now.

The classic guide for entrepreneurs preparing a pitch is Sequoia's Business Plan Template. This post aims to be a mere addendum to that in the age of machine learning. Why do investors spend so much time focusing on'differentiation'? Because the job of an investor is to allocate money to its best use. Investors shouldn't allocate money to a company unless it is crystal clear that the company is the best one to solve a particularly valuable problem.

The classic guide for entrepreneurs preparing a pitch is Sequoia's Business Plan Template. This post aims to be a mere addendum to that in the age of machine learning. Why do investors spend so much time focusing on'differentiation'? The job of an investor is to allocate money to its best use. Investors shouldn't allocate money to a company unless it is crystal clear that the company is the best one to solve a particularly valuable problem.

The classic guide for entrepreneurs preparing a pitch is Sequoia's Business Plan Template. This post aims to be a mere addendum to that in the age of machine learning. Why do investors spend so much time focusing on'differentiation'? The job of an investor is to allocate money to its best use. Investors shouldn't allocate money to a company unless it is crystal clear that the company is the best one to solve a particularly valuable problem.

Why do investors spend so much time focusing on'differentiation'? The job of an investor is to allocate money to its best use. Investors shouldn't allocate money to a company unless it is crystal clear that the company is the best one to solve a particularly valuable problem. This is why I emphasize "visible differentiation". Should be obvious in the first 5 minutes why you are different.