Written by Fola Yahaya
My son received a terrible predicted grade for his upcoming French GCSE. This was both surprising and unsurprising. He speaks Danish fluently, is a bright kid and only has six other kids in his class, so I know he should be able to pass with flying colours. However, I’m not entirely shocked because he dislikes the subject, and let’s face it, the English are notoriously bad at teaching French. Even though I’m a lifelong Francophile, I distinctly remember my early love for the language being slowly conjugated out of me.
Given that I can’t ship him off to France, as an AI enthusiast, I naturally thought, “How can I use technology, specifically AI, to help him turn things around?”
Most people immediately reach for Duolingo, but I have my reservations about it. As a major believer in learning efficiency, I instead downloaded the GCSE curriculum, cut and pasted the vocabulary list into a Google Sheet, and uploaded it to ChatGPT to create a nicely formatted table. I then planned to paste this into Anki, a spaced repetition.
If you’ve never heard of spaced repetition (SR), then you’re missing out on a ruthlessly efficient method for brute-force cramming of practically any information. SR is based on research into the forgetting curve, which maps out when people typically forget new information. By reviewing what you’ve learned – usually in flashcard format – just before it fades from memory (at intervals like one minute, one day, one week, one month and six months later), you can commit the material to your long-term memory.
You can download dedicated SR apps like Anki, which provides a home for your flashcards and a preset ‘remembering schedule’ that will periodically remind you to review. However, where’s the fun in that? Instead, I saw this as a great opportunity to test how well the new Strawberry version of ChatGPT handles coding.
Get in touch if you want to see my full workflow, but in summary, after about 60 minutes of chatting with Strawberry, I managed to create a fully functioning, basic Duolingo clone. This is insane! I’ll repeat myself. This is insane!
What blew me away was that I could:
Use cases for Strawberry’s coding chops include:
The pace of change in the power of these AI tools is truly breathtaking, and I urge you to experiment with them.
All the major software and tech players are racing to prove they are at the forefront of AI development. From Intel to Salesforce, the rule is simple: if you’re not aggressively promoting your AI capabilities, you’re risking a dip in your share price. Perhaps the most blatant example of this is Meta, which seems to be caught in a constant cycle of hyping its AI prowess. Last week, it was the much-publicised Orion Ray-Ban AR glasses, which promise to – eventually – do a lot of, well, “stuff.” This week, Meta has teased yet another unreleased tool: a new AI text-to-video generator they claim surpasses Sora.
What supposedly sets this awkwardly named Movie Gen apart from its competitors are two key features:
While this might sound like more tech hype, Meta’s plan to integrate Movie Gen into Instagram by 2025 is significant. Coupled with similar AI tools being added to platforms like TikTok and YouTube, this suggests that in the not-so-distant future, much of social media video content will likely be AI-generated.
The real game changer here, though, is not just an upgrade to existing tools. What Movie Gen offers is the ability to create professional-grade content with minimal effort, potentially revolutionising video production across digital platforms.
A good example of how far text- (and soon voice-) to-AI video creation has come. This may usher in an era of low-cost, home-made ‘direct-to-YouTube’ movies that take market share away from big-budget movie studios.
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