Welcome, humans.

We try to catch you up on what’s going on with AI video every now and then here at The Neuron, but since Veo 2, there’s been very few releases that’ve caught our eye. 

Well, allow us to introduce Wan 2.1…

The criticism around AI video in general is that “nothing actually happens.” AI “video” can create the illusion of motion, but the motions are slapdash and devoid of realism (the exception is video 2 video, where AI manipulates video footage like a graphical overlay, maintaining consistent motion but lacking object permanence).  

Wan 2.1 kinda changes that. It creates realistic, complex motions that for the most part, look legit and operate under recognizable physics. Here’s what we mean (with a cat!).

And according to the VBench benchmark, it outperforms every other video model except Veo 2 (which isn’t listed for comparison, but is basically the best). 

Here’s what you need to know about AI today:

Power users are blasting Claude 3.7 for coding (and some are switching back to 3.5)

Is the latest model from Anthropic actually worse at complex coding tasks? The internet can't decide.

A fascinating debate is brewing on Reddit, where power users who live and breathe AI coding assistants report mixed results.

On one side, there’s some serious hype going on. Like, too much. It’s even gotten to the point of parody.

Not everyone's impressed with Claude 3.7 though—especially the hardcore developer crowd. Some are even ditching 3.7 altogether and crawling back to 3.5 like it's an ex they never should've broken up with.

One developer who spends a mind-boggling “25+ hours a week with Claude” (that's more time than most of us spend with our significant others!) tested 3.7 extensively before making the walk of shame back to 3.5.

Here's what's bugging the power users:

Our favorite call out? “3.7 feels like a senior McKinsey consultant-presenting model that's mastered the art of lying to your face about how good they are at solving your problems.” Ouch.

But not everyone's having a bad time! The 3.7 defenders are speaking up too, and they've found ways to make it work:

One success story reported that 3.7 "reduced duplication of code in a project from 9% to 4% and increased code coverage from 85% to 90%" — all for about $8 in API costs. Not too shabby.

What's going on here? While 3.5 thrived as a collaborative coding buddy, 3.7 seems built for autonomous problem-solving with clear boundaries and comprehensive instructions.

This points to a broader trend in AI development: as models get more sophisticated, they may become less suitable as collaborative partners and more valuable as autonomous problem-solvers—who need clear boundaries and comprehensive instructions.

Our key takeaway: AI model releases are getting to be like smartphone upgrades—newer doesn't always mean better for your specific needs. And sometimes, that previous model you're comfortable with is still the right tool for the job.

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Prompt Tip of the Day

Most people won’t get to use ChatGPT-4.5 for everyday use because its too expensive to run (you either need the $200 a month Pro account, or an API account that'll max out a JP Morgan Sapphire card). That said, you can try it out in the playground here—here’s the prompt.

Treats To Try.

See our top 51 AI Tools for Business here!

Around the Horn.

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Monday Meme

A Cat's Commentary.