I’m hopeful this means Apple will finally ship an updated (i.e. actually useful) Siri this calendar year. I have to assume they’ve been integrating Gemini into their OSes for some time now and that this is just the announcement that makes it official.
Can’t help but wonder how much of what’s posted to LinkedIn today is already the output of an LLM. So their AI tool will, in the limit, be trained on the output of other AI tools…
We're still experimenting with pricing. Our initial target is prosumers and professionals who want to level up their virtual presence. We're seeing customers who work in big tech like devs and designers but also founders, consultants and agency owners.
Curious what you find confusing about Mmhmm. The audio cleanup you’re doing is pretty neat. I’ve used Audio Hijack in the past for similar reasons.
We really want to address the problems with existing video conferencing tools. Meetings don’t have to be boring and energy draining. Plus there’s already a lot of good software out there for recording demos.
Definitely want to stay opinionated. The goal is to create a tool for professionals who don't have time to set up OBS. We spend more and more of our days in front of a camera, like streamers. But the existing video conferencing tools weren't designed for streaming at work.
Tiny Wings and Alto's Adventure were standouts for me. Also Device 6 gave me some hope that puzzle games could be special on mobile. But that dream never materialized unfortunately.
Nice origin story! Confusing Matasano and Monsanto is like confusing Spotify and Shopify. With a relatively high number of common letters between names, it's not totally surprising that they'd get mixed up.
Totally. I find the videos of people asking ChatGPT to make them "a web app that does X"—which causes it to print out gobs of JS, HTML and CSS—to be hilariously human-focused. In a machine-focused world, wouldn't it just spit out an optimized binary executable, containing the web server too if necessary? Why would it need to separate the concerns at all?
The discussion here has me wondering whether code produced by an advanced AI would need to use the same coding patterns / abstractions that we've come up with over the past several decades.
If a human won't be maintaining the code and a v2 could literally be rewritten from scratch, would we end up with giant balls of spaghetti code that only the AI could truly understand? At some point will we treat this code like a closed source library that exposes the API we want but whose implementation is unknown to us?
Truthfully, picking what song goes next feels like a job well suited for an AI, or even just a basic recommendation system based on up and down votes.
Of course there's a real time component to DJing as well. Paying attention to the crowd and how they're reacting to your mix. That's the magic that's harder to automate.
