Another one to add to the list of Apple's enshittification of their marketing strategy for F1 - planting the movie's theme in Apple Music when I'm listening to my personal station on shuffle.

Yes!

I need the strength of Kier to get me through today so I can watch it tonight.

💪

I am hopeful the rewards will be plentiful.

R&D is what’s needed, not new releases that will just accelerate the race to the top and lead to increasing risk.

You can check out my thoughts on DeepSeek in my latest newsletter. Link here: www.the-blueprint.ai/p/a-week-in-...

The appropriate response to this isn’t to rush out new releases, it’s to go back in to R&D to see how you can leverage the DeepSeek learnings to super power what you can do with state-of-the-art chips and restablish the gap.

The hype is because they’re open source, cheap, and demonstrate you currently don’t need state-of-the-art chips to compete at the frontier.

It’s this last point that matters - China can now compete with the US despite not having access to state-of-the-art chips.

I was surprised this was Sam’s response as I’d hoped for something more responsible. I suspect it is driven by the USA vs. China rhetoric but misses some of the crucial points of why DeepSeek’s latest models are causing such a stir.

If AI lives up to all the hype and truly delivers on democratising access to intelligence for all of humanity that’s something we don’t want to rush into just because of ‘competition’.

‘Pulling up releases’ usually means shortcutting some important testing and deliberations on when/how to release a new capability.

Yes, it’s great to have competition if that delivers a better user experience and cheaper prices for enterprise and consumers. But, with AI, if competition leads to ‘pulling up some releases’ this is going to lead us to the BAD PLACE.