How Context Could Save Us From The Avalanche of AI-Slop

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 TODAY’S THOUGHTS ☠️

Hey there 👋,

There’s a weird thing happening right now.

I wonder if you see it too?

It’s all this content, lots of it, everywhere, and it feels more meaningless than ever.

AI-generated content shared by accounts run by AI agents that then receive comments from other accounts and publications often run by other AI tools, and give classic AI structured comments.

I find it incredibly unnerving, and it leads me to wonder…are any other humans out there?

At this very moment, it’s never been easier to create content.

We have a bazillion tools that will do that for you. Our industry has a lot of them, and for the most part, teams seem to be gobbling them up.

Whether I like it or not, L&D is still widely tied to a content library structure.

But in 2025, content alone is no longer an advantage. Certainly not in a world with one-click AI creations. To stand out and provide meaningful value, we must do something else, we must become something different.

So, today, we’re exploring how becoming a trusted partner of context will save workforces from generic AI-slop content.

Get your tea or beverage of choice ready 🍵.

We've got lots to discuss!

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 IN THIS DROP 📔

• An idea to stand out in the world of AI-slop

• Why the future of learning is still human

• How to leverage this NotebookLM feature for learning

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 THE BIG THOUGHT 👀

How Context Could Save Us From The Avalanche of AI-Slop

Let’s be real, the world is stuffed with content.

The education and workplace learning space is built on the foundations of content libraries. It’s been this way for decades.

You’ve probably heard the phrase “Content is king” muttered by some LinkedIn guru or marketer somewhere. While that might have been true at one point in time, the times have changed.

Anyone can create content, and as such, everyone can be a creator.

Whether they’re good or not is up for debate.

So that leaves content in a weird place. Is it really king anymore?

Perhaps, yet I believe it has little relevance in today’s AI-overwhelmed world, where more of the internet is becoming AI-generated content summarised by AI for you, without a key component.

That, my friend, is context.

I like to pretend I’m good at playing chess, and any good chess player knows the king on its own has little power. Yet, when we know how to use the queen for thoughtful and calculated moves, we can command the game.

Context gives content purpose, direction and a meaningful impact.

Just like the Queen unlocks the game of chess.

The pandemic of content overload

The amount of information available to us today is staggering.

In 2025, the world will have produced enough content to fill five Libraries of Congress or nearly 16 zettabytes of data. 

While this abundance of content presents us with unprecedented opportunities, it also poses a challenge: how can we make sense of it all?

Without the right context, content can become overwhelming, confusing, and even dangerous.

Content paralysis is a legit issue.

The compass of context

How do you navigate a map?

You find a compass!

That’s what context can be for you. A compass that reveals how we can make sense of it all.

One thing LLMs aren’t quite so good at right now is pairing content with experience and context. Granted, human users could do more to help here, but that’s a different challenge.

When you have a clear understanding of what you want to achieve and who you’re trying to reach, suddenly all that content becomes a whole lot more useful.

I think about this a lot (probably too much) for the L&D world.

I speak with lots of practitioners who are on a hamster wheel of either trying to survive the content avalanche of their libraries or doing the ill-advised act of creating more content to combat the poor quality of current content.

Before we carry on, let me frame the problem with more relatable data.

The team at Askwonder delved into the scale of content consumption in their article “How much Information do we Learn Everyday?”. They unpacked the content consumption of an average American.

The team shared, “According to a report by the University of California–San Diego, the average American consumes about 34 gigabytes of data & information every day. That is estimated to be the equivalent of 100,000 words heard or read every day– or about how many words in J.R.R. Tolkien’s The Hobbit (95,356 words).”

This is a phenomenal stat considering I could barely read The Hobbit over the last decade, let alone in one day!

AI and the great content tsunami

I don’t know about you, but I feel like more of the internet is becoming built, summarised and interacted with by AI more as the days pass.

In fact, I saw that in November 2024, AI-generated articles surpassed human-written articles being published on the internet 🤯.

I was never one for considering the dead internet theory.

Yet, when I see so much AI-generated content, shared by accounts and websites run by AI agents receiving comments on those posts from other AI run tools, it gets me thinking.

I’m not against AI-generated content.

It has a time and place, for sure. What I don’t agree with is the ever popular ‘copy and paste’ actions that too many humans use AI for, rather than working with AI to create something meaningful.

As much as AI can fuel more content, it can also save us.

It can do this by providing both context and the capability to craft valued curation.

If used in the right way, AI can summarise, define and be precise on the context of content you consume. Thus, saving you the precious non-renewable life force we call time.

We’ll talk about AI as a context partner throughout this journey.

Examples of when a lack of context causes real harm

Here’s a few examples to bring colour to this for you:

1. Misinformation
   
   In 2020, false claims about the connection between 5G technology and COVID-19 were circulating on social media. Many people took these claims out of context and believed them to be true, leading to an increase in attacks on 5G towers and a spread of misinformation.

2. Confirmation Bias
   
   During the 2016 US presidential election, fake news stories were widely shared on social media. Many of these stories were shared by people with a particular political affiliation, reinforcing their pre-existing beliefs and biases.

3. Overload
   
   The average person spends over three hours on their phone each day. This constant consumption of content can lead to information overload and a lack of productivity.

4. Inaccuracy
   
   In 2021, a clip of a speech by US Vice President Kamala Harris went viral on social media.
   
   The clip appeared to show Harris saying “we will not let up, and we will not give up” in reference to the COVID-19 pandemic, leading some to accuse her of advocating for continued lockdowns.
   
   However, the clip was taken out of context, as Harris was actually referring to the need to continue to push for vaccine distribution and other measures to combat the pandemic.
   
   The full context of the speech was not immediately clear, and it took further investigation and analysis to understand what Harris was really saying.

5. Unintended Consequences
   
   In 2018, Elon Musk tweeted that he had secured funding to take Tesla private at a price of $420 per share.
   
   The tweet was taken out of context, and it was unclear whether Musk was serious or joking. The tweet had unintended consequences, causing Tesla’s stock price to surge and prompting an investigation by the Securities and Exchange Commission (SEC). Musk was fined and forced to step down as Chairman of Tesla’s board as a result.

The Role of Context in Unlocking the Power of Content

Ok, we’ve covered the perils of when content goes wrong.

Now, let’s look at the other side of the coin when we add context to the mix.

1/ Clear Intent and Relevance

Content must have a clear purpose and be relevant to the user’s needs. 

Without clear intent, content can be irrelevant or even misleading. This is why knowing your audience matters. Consider what they need to know and why. Apply that same thinking to your own consumption.

Content that tries to please everyone should be discarded. 

Trying to please everyone is a fast road to providing nothing for nobody. Being precise about who you’re content is for is not only smart but necessary.

The same goes for your own content engagements, avoid the obvious hyperbole – ask, is this content worth the exchange of my time?

2/ Credibility

Content that is trustworthy, credible, and reliable always wins. 

Being able to write with credibility is crucial. Knowing whose words you’re reading is too. The bar to create content is so low that anyone can share anything.

This is both incredible and complex.

That’s why we have to be careful with whose words we trust.

Trust but verify is another popular phrase, and I feel like in the AI-dependent world, you have to do more of your own research on both the source and their references.

3/ Application

What problem is this content solving? I feel we never ask this enough.

Think about it.

We each exchange moments of our lives to engage with a piece of content, so it makes sense to know it’s going to deliver value, right?

Reading another article highlighting obvious content or someone getting on their soapbox for a good old moan might be entertaining, but it’s not great for improvement.

If we’re going to invest, we need to know what we get in return.

Is the juice worth the squeeze? (as an annoying former manager used to tell me). By providing practical applications for content through context, we can increase its relevance and impact.

Again, we see how context helps users make the most of the content they consume.

What you can take from this

I don’t think this is just for L&D teams.

You could apply this to other careers and generally to life. We all take part in the content-driven world. 

Here’s a few things I’d recommend fellow L&D pros consider:

1/ Provide context

Give people the necessary context to help them understand the purpose and relevance of the content.

This could include providing background information, explaining how the content fits into a larger learning curriculum, or offering examples of how the content can be applied in the workplace.

If you want to carve out value for L&D in the future, it would be better placed on bringing more context into the workplace than content.

2/ Check accuracy

Before sharing any content, ensure that it is accurate and reliable.

Take the time to fact-check and review the content to avoid sharing misinformation or inaccuracies that could lead to confusion or misunderstandings.

This is far too common with all forms of content today.

AI trust can be too high, especially when creation can now be done in minutes. Yet, inaccurate work that leads to consequences can erode human trust quicker than anything I know.

3/ Consider the source

Always consider the credibility of sources.

Ensure the sources are reputable and trustworthy, and avoid sharing content from questionable or unreliable sources.

4/ Tailor content to the audience

Keep the needs and interests of your audience top of mind.

Tailor the content to their level of expertise and knowledge, and provide content that is relevant and useful to their roles and responsibilities. No obvious, non-specific dribble here, folks.

5/ Encourage critical thinking

Encourage people to think critically about the content they consume.

Teach them to ask questions, consider the source and the context, and evaluate the content for accuracy and reliability. This will help them become more discerning consumers of content and better learners overall.

We need more of this.

Final thoughts

There we have it, friend.

In a sea of AI-slop, content is no longer an advantage. Context, credibility and quality are the new markers of value.

→ If you’ve found this helpful, please consider sharing it wherever you hang out online, tag me in and share your thoughts.

 👀 ICYMI (In case you missed it!)

1. How to use AI for meaningful long-term learning moments. The folks at YouTube decided to give me access to their experimental course feature (no idea why), so to celebrate, I put together everything I know about NotebookLM in one place for FREE!
   

2. Why the future of learning is still human. Another week, another podcast. The reason I don’t have my own podcast is that I’m blessed to be invited on other great platforms. This time, I joined the HowNow team to discuss learning beyond AI.
   

3. How will Chief Learning Officers pivot in the face of AI? The folks at McKinsey navigate this by exploring how CLOs steer through so much change, deal with a very different customer experience and shape the future of work.

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 VIDEO THOUGHTS 💾

How to Customise NotebookLM Video Overviews

NotebookLM video overviews are now fully customisable.

In this quick tutorial, I’ll walk you through how to tailor your video overviews in Google NotebookLM, from choosing your format and language to setting a visual style and telling the AI host exactly what to focus on.

Enjoy, and don’t forget to check out the ever-growing NotebookLM tutorial series on my YouTube channel.

Till next time, you stay classy, learning friend!

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