Wonder how open source models have been affecting their growth. As a consumer, we’ve started cracking down on reducing token expenditure lately. Not terribly hard to get similar value for less right now

I’ve been finding https://techpresso.co/ quite helpful for the major news items of the day

Thanks for the resource. I'll add it to my list of things to check daily.

I still think there's some junction between software and the physical world that's the next exciting frontier. There's a whole new world opening up that we've never been able to tackle before. Imagine a world where we can shift all these bright folks from working on ads and SaaS to working on new materials discovery, fundamental sciences, healthcare access, climate change, etc. Working to make the world around us a better place.

We can now build apps with a TAM of 1 or 2 viable at scale - I still have hope there's a lot of good we can do for the world with that new reality. Purpose-built tools for super niche, high-impact problems, where software isn't the end goal, it's just a means to an end.

What do you think? Still meaningless?

Wow that was a fascinating experience - honestly the biggest revelation for me is how much I skim content without realizing it. Reading and remembering every single word, one at a time, and comprehending what was being said was more effort than I expected! I also took away how much I need the inter-word formatting to keep track of what's being said

Yeah, the skimming thing surprised me too when I started looking into it. In regular reading, people skip about a quarter to a third of the words, mainly small ones like "the" and "of." Your eyes grab the next word or two out of the corner of your eye before you actually see them.

With RSVP, you save the eye movement, but you also lose the skipping. You have to look at every word, no matter if it’s important or not. Those two factors might balance each other out, which I think is a big reason the actual speed gain is much less than what most speed reading products promise.

The formatting issue you brought up is something I haven’t figured out. You miss line breaks, the shape of paragraphs, punctuation that sits in your peripheral vision, and even just keeping track of where you are on the page. I add longer pauses at punctuation to restore some of the sentence rhythm, but the structure of paragraphs and dialogue is still missing. That’s why it doesn’t work for me with fiction that has a lot of dialogue.

Do you all rely on people writing things down as they go? or do you have some automated system?

People. Time is carved out for both documentation and its review, like a PR review. Otherwise, how would you trust what is being documented? A human must remain in the loop if accuracy is a component of success criteria for organization documentation. I say this familiar with Karpathy's LLM Wiki pattern.

On a past team of mine we used to bake documentation into our definition of done for user stories. If the doc wasn’t written/updated, then it wasn’t done. It was tough for some people at first, but after a while it became second nature for them. We also learned that it takes far longer to write that stuff than anyone estimates.

Do you think having an AI do that is 1) possible and 2) people will like that? Seems really invasive, no?

Going into all chats is a horrible idea. Some chats between small groups are meant to stay that way.

I agree, not all chats. But it could be an opt-in for group chats.

Its possible - teams chats where I work can have ai transcription enabled, for example.

As to whether people like it: I was thinking of a work context, where expectations of privacy are lower. I guess it could be an opt-in for group chats.