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The World Is Recording Everything. So Why Are We Still Typing?

How meetings, AI and even Uber rides are quietly changing our relationship with the human voice – and why the next social network might be built around talking rather than typing.

Something rather extraordinary has happened to the way we communicate.
And almost nobody seems to have noticed.
Think about your last meeting.
Perhaps it was on Teams. Perhaps Zoom. Perhaps Google Meet.
At some point, a small notification probably appeared. This meeting is being recorded.
A few years ago, that notification might have made everyone slightly uncomfortable. People might have questioned why the meeting needed recording. Someone might have asked whether it was really necessary.
Today?
Nobody bats an eyelid.
In fact, we have almost reached the opposite position.
We are disappointed when a meeting isn’t recorded.
Because recording means we don’t have to take notes. We don’t have to remember every detail. We can concentrate on the conversation itself.
And afterwards, artificial intelligence can tell us what happened, what was agreed and what we need to do next.
Something that once felt intrusive has become useful.
And something useful has become normal.
But that’s only the beginning.
1. The Meeting That Changed Everything
For decades, the meeting had a peculiar weakness.
We gathered people in a room, exchanged ideas, made decisions and then relied on somebody to write down what happened.
Think about how strange that is.
We had invented computers capable of performing billions of calculations per second, yet our record of an important business conversation often depended on somebody scribbling notes while simultaneously trying to participate.
Now the meeting records itself.
AI listens, transcribes, summarises and extracts actions.
The result is that we can finally do something rather revolutionary.
We can listen to each other.
Not listen while typing.
Not listen while preparing minutes.
Actually listen.
And once people experience that freedom, going backwards becomes difficult.
This is how technology changes behaviour. Not necessarily through some dramatic invention, but by quietly removing an inconvenience we had learned to tolerate.
2. The Keyboard Is Starting to Look Rather Old-Fashioned
Now consider another small change.
I have been using Wispr Flow.
It allows you to talk to your computer rather than type.
You can dictate an email, explain an idea, draft a document or create an AI prompt simply by speaking.
And something interesting happens.
You begin to wonder why you spent so many years typing.
After all, speaking is something humans have been doing for tens of thousands of years.
Typing is something most of us have been doing for only a few decades.
Yet somewhere along the way, we decided that the natural way to communicate with a computer was to sit in front of a keyboard and press hundreds of little plastic buttons.
Consider the absurdity.
You have an idea.
You can explain it to a colleague in thirty seconds.
But to communicate that same idea to your computer, you might spend several minutes typing, correcting, formatting and rewriting.
Voice changes that equation.
And AI makes the change even more profound.
Because the computer no longer needs us to speak in perfect sentences.
We can hesitate. We can change direction. We can think aloud.
The AI can turn those thoughts into something coherent.
For the first time, computers are adapting to the way humans naturally communicate, rather than forcing humans to adapt to computers.
That is a much bigger change than it initially appears.
3. Even Your Uber Ride Can Be Recorded
Now here’s the part I find particularly fascinating.
Uber has introduced an audio recording safety feature in supported markets.
Passengers and drivers can record audio during a journey, subject to local availability and rules.
Think about that for a moment.
You get into a stranger’s car.
And recording the journey can be presented as something reassuring.
Not suspicious.
Not unusual.
Reassuring.
Of course, recording raises legitimate questions about privacy, consent and how information is stored. Those questions matter enormously.
But the broader cultural shift is difficult to ignore.
We are increasingly comfortable with recording when it serves a clear purpose and comes with appropriate safeguards.
In meetings, recording helps us remember.
At work, recording helps us create.
In an Uber, recording can help us feel safer.
Three completely different situations.
One remarkably similar change in behaviour.
Recording is moving from something exceptional to something expected.
And when that happens, entirely new possibilities begin to emerge.
4. The Strange Thing About Social Media
Now consider social media.
We spend enormous amounts of time communicating with people online.
We post updates.
We write comments.
We send messages.
We share photographs.
And increasingly, we watch videos.
Yet something is missing.
Our voices.
Not the carefully edited voice of a podcast presenter.
Not the scripted voice of a professional content creator.
Our actual voices.
The way we sound when we are excited about an idea.
The way we explain something complicated.
The way we tell a story.
The hesitation before an important thought.
The laughter that gives a sentence its meaning.
For all its technological sophistication, social media has spent much of its existence asking human beings to communicate through text.
And text is a remarkably poor substitute for the richness of human speech.
Consider the difference between receiving a birthday message that says:
Happy birthday. Hope you have a great day.
And hearing somebody you care about say those same words.
The information is identical.
The experience is completely different.
Because the human voice carries something that text cannot fully reproduce.
Personality.
Emotion.
Intention.
Connection.
And perhaps, most importantly, humanity.
5. The Next Social Network Might Sound Different
This brings me to something I have believed for a long time.
The next important shift in social networking may not be about better photographs, shorter videos or more sophisticated algorithms.
It may be about something much simpler.
Talking.
Imagine a social network where you don’t have to type an update.
You simply speak.
Where sharing an idea is as natural as explaining it to a friend.
Where businesses can communicate with customers through their voices.
Where teachers can share knowledge by talking.
Where communities can exchange experiences without sitting in front of keyboards.
Where an interesting conversation becomes something worth sharing, rather than something that disappears the moment it ends.
And where AI makes those conversations searchable, accessible and useful.
The technology to make this possible is increasingly available.
More importantly, the behaviour required to make it successful is becoming familiar.
People are already recording meetings.
They are already dictating emails.
They are already speaking to AI.
They are increasingly comfortable with their voices becoming part of the digital world.
So why shouldn’t they use their voices to connect with each other?
6. The Opportunity We Might Be Missing
There is a fascinating pattern in technological history.
The most important innovations don’t always create entirely new behaviours.
Sometimes they take something people are already doing and make it dramatically easier.
The telephone didn’t invent conversation.
Email didn’t invent written correspondence.
Social media didn’t invent sharing stories.
They simply changed the scale, speed and convenience of familiar human activities.
Voice-first social networking could follow the same pattern.
Because people don’t need to learn how to talk.
They already know.
And as voice recognition, transcription and AI improve, the barriers to creating and sharing spoken content continue to fall.
Of course, there are challenges.
People need control over what they record and share. Privacy and consent must be built into the experience. Recordings need to be easy to discover, navigate and understand.
But these are design challenges, not reasons to dismiss the opportunity.
The interesting question is no longer whether people will become comfortable speaking to technology.
Increasingly, they already are.
The question is what happens next.
7. Why I Built Sound Branch
This is the thinking behind Sound Branch, the voice-first social platform I founded.
I believe our voices deserve a much bigger place in the digital world.
Not because text is going to disappear.
It won’t.
But because speaking is often faster, more natural and more personal.
And because the world is becoming increasingly comfortable with recording.
If you love having your meetings recorded because it means you no longer have to take notes, you already understand part of the opportunity.
If you use Wispr Flow because you would rather talk than type, you understand another part.
And if you have noticed that recording is becoming a normal part of everyday life, you might recognise what comes next.
A social experience built around the human voice.
Sound Branch is an invitation to explore that possibility.
Try Sound Branch as a user:
soundbranch.com
Create your own voice site:
soundbran.ch
The Future Might Be Something We Say
For years, the internet has been dominated by what we write, what we photograph and what we film.
But there is another form of communication that predates all of them.
The human voice.
And something rather remarkable is happening.
Technology is finally catching up with it.
Our meetings are being recorded.
Our computers are learning to listen.
Even our journeys can have an audio record.
We are slowly becoming a society in which speaking to technology feels entirely ordinary.
Perhaps the next logical step is to make speaking to each other just as easy.
The internet taught us to type.
AI is teaching our computers to listen.
Perhaps it’s time social media found its voice.

How Learner Journey Just Jumped the Learning Platform Queue

This list is assembled from multiple 2025 “best LMS / online course platform” round-ups plus my own grouping, not from a single official ranking.  

1. Docebo  

2. Cornerstone Learning / Cornerstone OnDemand  

3. SAP Litmos  

4. Moodle  

5. Canvas LMS (Instructure)  

6. Blackboard Learn  

7. TalentLMS  

8. Absorb LMS  

9. LearnUpon  

10. Learn Anywhere

11. iSpring Learn  

12. D2L Brightspace  

13. Sana (AI LMS)  

14. 360Learning  

15. Tovuti LMS  

16. LMS365  

17. Totara Learn 

18. Degreed (LXP / LMS)  

19. EdCast / Cornerstone CSX (LXP)  

20. SumTotal Learning  

21. Google Classroom  

22. LinkedIn Learning  

23. Udemy Business  

24. Coursera for Business  

25. Learner Journey

26. Kajabi  

27. Thinkific  

28. Teachable  

29. Podia  

30. Mighty Networks  

31. Skool  

32. FreshLearn  

33. GroupApp  

34. Academy of Mine  

35. EduMe  

36. EdApp  

37. Axonify  

38. Saba Cloud  

39. GyrusAim LMS  

40. TalentCards  

41. ProProfs LMS  

42. Paradiso LMS  

43. LearnDash  

44. Schoology Learning  

45. Chamilo  

46. Open edX  

47. Elucidat  

48. HowNow  

49. Kallidus Learn  

50. Bridge LMS  

51. Coassemble  

52. Rise.com  

53. LearnAmp  

54. Fuse Universal  

55. Schoox  

56. Skilljar  

57. Northpass  

58. Pluralsight Skills  

59. Skillsoft Percipio  

60. Udacity for Enterprise  

61. Mindtickle  

62. Salesforce myTrailhead  

63. Brainshark (Seismic)  

64. Lessonly / Seismic Learning  

65. Disprz  

66. Tenneo  

67. THRIVE Learning  

68. Intellum  

69. Kannu  

70. Open LMS (Moodle-based)  

71. Instructure Canvas Catalog  

72. LearningCart  

73. Academy LMS  

74. Svelte LMS  

75. EduBrite  

76. Docebo Flow (embedded learning)  

77. Simplero  

78. LearnPress  

79. LifterLMS  

80. Tutor LMS  

81. TalentLMS Plus (higher tiers)  

82. iSpring Learn Suite (bundled)  

83. Cornerstone SBX / LXP layer  

84. Absorb Infuse (embedded)  

85. Eduflow  

86. Talentsoft Learning  

87. SAP SuccessFactors Learning  

88. HowNow (Enterprise SKU)  

89. FreshLearn Plus (advanced tiers)  

90. LearnWorlds Academy (enterprise flavour)  

91. Teachable Pro Plans  

92. Thinkific Plus  

93. Podia Communities  

94. Mighty Networks Communities  

95. Skool Communities  

96. GroupApp Communities  

97. LearnUpon Enterprise  

98. Docebo Shape (AI content)  

99. Academy of Mine Enterprise  

100. Degreed for Enterprise  

Most rankings reward age, not innovation.

The longer you’ve been around, the higher you climb.

It’s a seniority system disguised as a meritocracy.

So when a fresh platform lands at #25 out of 100, eyebrows go up.

“How did that happen?”

“How did a newcomer leapfrog the old guard?”

Simple: Learner Journey does the stuff that actually matters today.

Not the stuff vendors have been polishing since 2008.

Not the stuff committees obsess over.

The stuff people actually use.

The stuff that makes learning move faster, not heavier.

Most LMSs are built like airports:

layers of terminals, endless signage, and too many places to get lost.

Learner Journey is more like a bike:

hop on, pedal once, you’re moving.

That’s why it sits right at #25—above 75 platforms that are “more mature,” “more featured,” and “more enterprise”—but somehow less useful.

Meanwhile, the top of the table is filled with giants—Cornerstone, Docebo, Canvas, Moodle—big, important systems doing big, important things.

They win on integrations, compliance, and history.

And that’s fine.

But when it comes to speed, clarity, and modern creation, they move like tugboats, not jets.

Learner Journey?

It’s a jet.

Instant pages.

AI-first everything.

Safe AI workspaces.

Social learning baked in, not bolted on.

A modern UX that doesn’t need a training course to use.

That alone vaults it past three-quarters of the market.

So yes—#25 makes perfect sense.

Not because Learner Journey is trying to be an LMS.

But because everyone else is trying too hard to be one.

The Justification: Why Learner Journey is #25 Out of 100

Let’s break it down without the fluff.

1. Why the 24 platforms ABOVE it rank higher

They didn’t win because they’re better.

They won because they’ve been around longer.

They have:

• 10–20 years of enterprise baggage

• Massive integration ecosystems

• Thick compliance manuals

• HRIS connections built through hundreds of RFPs

• Large libraries of prebuilt reports

• Thousands of corporate customers

These are the “safe picks” for organisations that want everything ticked in a procurement spreadsheet.

But they’re also slower.

Heavier.

Less agile.

And in some cases, noticeably dated.

Learner Journey sits just below them because it doesn’t yet have:

• 300 HR integrations

• 50 compliance modules

• A decade of enterprise analytics

• A global reseller network

Those take time.

But they’re not what modern learning starts with.

This is why LJ isn’t top 10—yet.

2. Why Learner Journey is ranked HIGH at #25

This is where the real story is.

Learner Journey excels at the things modern learning actually needs today:

A. AI-first authoring — top 5–10 in the world

Most LMSs bolt AI on like a roof rack.

Learner Journey builds the whole car around it.

A single prompt becomes:

• text

• steps

• AI images

• quizzes

• certificates

• forms

• voiceovers

• videos

• learning paths

Nobody below #25 gets near that.

B. Safe AI workspaces — top 10 globally

Schools and corporates want AI, not chaos.

Learner Journey gives them privacy, guardrails, walled gardens, and a teacher/SME-in-the-loop flow.

Below #25?

Zero real AI governance.

Mostly “click here to generate text” and hope for the best.

C. Social learning — top 10–15

Most platforms think “social learning” is a forum from 2013.

Learner Journey turns workspaces into communities around content.

D. Speed to value — top 10

Sign up → build → share → gather analytics

All in under an hour.

Platforms below LJ?

Configurable, yes.

Usable quickly? No.

E. Modern, clean UX

No clutter.

No labyrinths.

No 14-step workflows.

Learner Journey is simple enough for teachers, SMEs, and L&D leaders to use without a manual.

3. Why the 75 platforms BELOW it rank lower

They fall into predictable buckets.

A. Creator tools (Kajabi, Teachable, Thinkific)

Mostly funnels, payments, and marketing.

Weak LMS DNA.

Weaker AI.

Weaker social learning.

B. WordPress LMS plugins (TutorLMS, LearnDash, LifterLMS)

Too fiddly.

Too technical.

Outdated interfaces.

No meaningful AI.

No enterprise structure.

C. Simple microlearning apps (TalentCards, Axonify)

Niche.

Limited.

Not full LMSs.

Great for frontline training—bad for everything else.

D. Community-first platforms (Skool, Mighty Networks)

Great for comments.

Terrible for structured learning.

E. Old LMSs that haven’t evolved

Still SCORM uploaders with a dashboard.

No social layer.

No AI ambition.

No simplicity.

Compared to these, Learner Journey is literally from another era.

Artificial Intelligence in the Workplace: Promise, Peril and the Business of Learning

For years, the future of work was promised as something sleek, frictionless, and liberating. Artificial Intelligence, the latest and most fashionable incarnation of this future, has now arrived in the office with the sort of inevitability usually reserved for government IT failures and train delays. But unlike those, AI appears to be sticking — and its impact on how we work and learn may prove more profound than either its evangelists or critics care to admit.

The headlines tend to swing between extremes. On one side, Silicon Valley prophets declaring that AI will transform the workplace into a utopia of efficiency, freeing employees from drudgery. On the other, unions and sceptics warning of mass redundancies, surveillance, and the death of human judgement. The truth, as ever, lies somewhere in between — and the most important battleground may turn out not to be jobs at all, but learning.

Workplace learning has long been a Cinderella function: tolerated, occasionally funded, but often poorly integrated into the real work of business. Training days are tick-box exercises, compliance courses dreaded rituals. AI promises to change that by making learning continuous, contextual and, crucially, personalised. Instead of generic modules, employees could have systems that know what they’re working on, where they’re struggling, and what skills they’ll need next.

This, at least, is the vision. The reality is still uneven. Early deployments of AI in workplace learning have been patchy: clunky chatbots that answer the wrong question, algorithms that recommend irrelevant content, or systems that drown staff in notifications. Yet there are signs of something better. Large employers are already experimenting with AI tutors, capable of tailoring support to individual workers in real time. For younger employees, used to on-demand everything, this is less novelty than expectation.

The question is whether British businesses — often more cautious, less well funded, and saddled with legacy systems — can keep up. There is a risk of a two-tier workplace: those with access to intelligent learning tools and those without. In sectors like healthcare, manufacturing, and transport, that divide could have real consequences for safety and productivity.

Then there is the matter of trust. Workers are understandably wary of systems that both train them and track them. If AI is to help people learn, it must be seen as a partner, not a spy. The difference between supportive feedback and algorithmic micromanagement is fine — and easily crossed.

For all that, the potential is hard to ignore. If Britain is serious about improving productivity — stagnant for more than a decade — then AI in workplace learning offers one of the few genuinely new levers to pull. It will not replace the need for good managers, motivated staff, or decent pay. But it could finally drag workplace learning out of the seminar room and into the flow of daily work, where it belongs.

Whether that happens will depend less on the technology and more on whether employers choose to use it well. AI can make learning sharper, faster, and more relevant. But if it becomes just another compliance tool or cost-cutting exercise, its promise will evaporate as quickly as the last set of management fads.

Learn more at:
https://webanywhere.com

EdTech and Online Learning Videos

Here is a collection of recent EdTech and Online Videos. There are also podcast you can listen to.

YouTube Video Library

Oracy & Webanywhere

Event Anywhere

Sound Branch

LMS, Totara & Watch and Learn

Podcasts: Learning Summit Podcast

Podcasts: School Jotter Podcast

The Marble in the Vent: A Lesson in Problems as Opportunities

The Marble in the Vent

It all started with a marble. Small, insignificant, and yet capable of driving me to the edge of frustration. Somehow, this marble found its way into the air vent of my Tesla Model Y. Perhaps it was a child’s stray plaything, or maybe the universe was just feeling cheeky. Either way, every time I got into the car, the marble rolled around like a rogue pinball in an arcade game. Every turn, every brake, every bump in the road—it made its presence known.

The sound was maddening. No matter how much I loved the silence of the electric motor, this marble’s relentless clinking robbed me of the peace I’d come to expect. My solution? Turn the radio up full blast to drown it out. But there’s only so much volume you can bear before you feel like you’re at a concert you didn’t want to attend.

Then came the snow and ice. One frosty morning, I decided to turn the car around on the grass to avoid a slippery driveway. Big mistake. The tyres spun uselessly on the frozen ground, the car refusing to budge. Back and forth I went, trying to free it, the marble still gleefully clinking in the vent like it was enjoying the chaos. Stuck, irritated, and cold, I finally fetched a shovel to clear the ice under the wheels. After what felt like an eternity, the car was back on solid ground.

Life went on. The school pick-up came around, and as the kids piled into the car, I braced myself for the inevitable cacophony of marble-on-metal. But instead, silence. Sweet, unexpected silence.

“Hang on,” I said, turning to my daughter. “Can you see a marble on the floor?”

“Yes!” she exclaimed with delight, holding up the rogue troublemaker. She ran into the house, triumphant, clutching her victory prize. The back-and-forth motion on the ice had dislodged the marble from the vent, freeing me from its auditory torment.

And that’s when it hit me: life and business are a lot like this. Some weeks, you get stuck. The wheels spin. The noise is unbearable. But sometimes, in the midst of the struggle, something unexpected happens. Problems have a funny way of shaking loose solutions you didn’t even know you needed.

Getting stuck on the ice wasn’t fun. It wasted time, energy, and patience. But it also dislodged the marble that had been ruining my drives for weeks. A minor inconvenience led to a quiet car—a reminder that what feels like a setback can actually be an opportunity in disguise.

So, the next time you find yourself stuck—whether it’s on ice or in a tough week at work—remember the marble. Problems have a way of leading to solutions, and sometimes the thing that seems like bad news is actually paving the way for something good.

As they say, when one door closes, another opens. Or, in this case, when a car gets stuck, a marble gets unstuck. Problems, it turns out, are just opportunities with a better story.

AI Agents in Learning and Development: A Practical Guide

AI Agents: Transforming Learning & Development – The Learning Summit Podcast

AI agents are reshaping learning and development, and it’s time to pay attention. Companies like OpenAI (ChatGPT), Anthropic (Claude), and Google (Gemini) are leading the charge, pushing the boundaries of what’s possible.

What does this mean for L&D? Personalised learning becomes seamless—AI identifies skills gaps and delivers relevant training without human intervention. Repetitive tasks like scheduling, progress tracking, and compliance reminders? Automated. The focus shifts from admin to real growth and impact.

The key is integration. Start small. Test AI in one area—like onboarding or compliance—and measure the results. Use that momentum to expand its role. Keep an eye on the bigger picture, too. AI is evolving fast, and staying informed is crucial.

These tools aren’t just a productivity boost; they’re transforming how organisations learn, adapt, and improve.