My only gripe is you render the bonus notification too near the ball and it distracts me and makes it harder to keep a combo going.

What if instead of banning these addictive services we require companies to charge for them and disallow advertising revenue. That changes the entire business model, and there is no longer a strong incentive to have users spend as much time on the platform as possible. In fact, the best customer would be one that subscribes but barely uses the platform.

For me this all comes back to the perverse incentives that arrive when advertising is the primary source of revenue for the largest companies in the world. Social media allows advertising at scale never seen before and it’s no surprise that it’s been weaponized in ways that are actively harming people.

But then again, I manage to get myself addicted to a video game usually once a winter for a few weeks, and don’t play games for the rest of the year. There’s really no solution to this, but I don’t want to live in a world where everyone is hopelessly addicted to shallow digital experiences.

The network effects of the other two platforms are too strong, and a value prop of “watch similar videos but they’re all AI” is not strong for consumers.

Also, say what you want about AI slop, but I was on sora a lot for a few weeks and there was a real explosion of creativity on there. It felt new and exciting and creators were engaging with each other and sharing feedback and tips. I generated a ton of videos and surprised myself with a flury of creative ideas.

I suspect you either already were or would’ve been great at leading real human developers not just AI agents. Directing an AI towards good results is shockingly similar to directing people. I think that’s a big thing separating those getting great results with AI from those claiming it simply does not work. Not everyone is good at doing high level panning, architecture, and directing others. But those that already had those skills basically just hit the ground running with AI.

There are many people working as software engineers who are just really great at writing code, but may be lacking in the other skills needed to effectively use AI. They’re the angry ones lamenting the loss of craft, and rightfully so, but their experience with AI doesn’t change the shift that’s happening.

Personally I’m not a fan of acupuncture and I suspect any nervous system benefits from acupuncture would be far outweighed from those of regular exercise. But maybe for people with chronic pain or other issues it could be useful.

And you’re completely right, humans are still the ones in control here. It’s entirely possible to use AI without lowering your standards.

I’m actually surprised with as much money is in tech that there hasn’t been more influence towards shaping curriculum to be more industry relevant. Companies waste tons of money ramping up new grads and bridging the CS to SWE gap, surely the incentives are there for a different curriculum.

I spend a lot of time at the gym or walking with headphones in and music, podcasts, or audiobooks on. It’s so much better not having any wires when you’re moving. I can’t imagine doing these actives anymore with wired headphones.

Battery life, pairing, charging, audio quality, and other complains are all non issues for me, but I’m also no audiophile. They work incredibly seamlessly inside the Apple ecosystem.

This is basic ecology, the bacterial population dynamics in your colon are a direct result of substrate availability. If it’s primarily fiber, polyphenols, and other indigestible plant compounds reaching the colon you’ll likely have a healthy microbiome. If instead you malabsorb food from poor lifestyle factors and have macronutrients reaching the colon they’ll probably fuel blooms of pathogens. I think microbiome researchers need to talk with ecologists more to help advance the field out of the myopia it’s in.

FMT does appear useful for special cases of infection like c-diff, but I think that’s led people to believe it’s a generally health promoting practice, when the research simply does not show it.