BSOhealth

I’m a product manager fascinated by the skills of good salespeople. I also like Duolingo. so I’ve been building a “Duolingo for sales” to try to teach myself more. it’s started to morph a bit into an eval benchmark for sales agents, so classic cognitive feature creep.

making it feel fun versus a basic quiz workflow is the hardest part.

https://salesfighter.app

I built https://bit.recipes to facilitate my agent ordering my groceries (saves ~60 mins of family annoyance a week). it’s really meant to apply more rails and human/family collaboration, rather than a pure AI play or anything

I found this about 10 years ago when I was an iOS dev. Interesting sequence of archive.org Wayback snapshots that also don’t give me much (https://web.archive.org/web/20140215000000*/https://pancake....)

Ideas?

for https://slopwash.com I’ve started approaching this more as an eval problem than something to go post-training for. I’m excited to be trying these new Jev-type models in more of a harnessed approach. maybe some heavy LLM to measure preservation of intent

Acknowledging the sibling post that this seems to have preceded the article from yesterday, but,

Your conclusion actually seems like a perfectly efficient end state of new product generation: Novel ideas land on HN > Built and validated immediately.

Haven’t HN posts always just been on some spectrum between, “New and interesting problem identified” and “New and interesting problem solved for, please critique”.

I.e., HN is simply a RFP+PR (pull request) marketplace.

As a former TypeScript developer, I always make clear on my resume about what I’ve personally transpiled/compiled, and what I have relied on subintelligent machines to transpose/compile on my behalf.

The big risk here is being hired and getting stuck in such a manual role.

I like this example and it made me think, there is an analogy here to spec-driven development and vibe coding.

Rather than send 300+700 bits, like you said, send 300 (or less!) and let the human intelligence on the other side generate the result. Which supports the even older perspective: “If I had more time, I would have written a shorter letter.”

I’m not sure if this lands on anything very profound, but what about a pattern where, instead of codifying agent output at all, the only artifacts we share are the prompts. And the rewards (respect) accrue to those who generate the most generative among people and AI

I added a quick setup option for Pizza Bot + AudioReality, so you can have your Pizza Bot inbox turned into a quick audio update via podcast feed: https://www.audioreality.ai/docs/agents/pizza-bot

100%, the fonts are barely acceptable. if anyone has one, would love a github library to help with this…

I travel a lot for work and life. NYC, Boston, Chicago, Seattle, Vancouver, Toronto, etc.

to be clear, these are not "side eyes" in a negative sense. it's more just peoples' curiosity, which can be a bit uncomfortable if you notice that type of thing while you're trying to read.

I think speaks to the fact that we all expect some normalization around iphones/pixels/kindles/switches in terms of the "expected" devices people might have in-hand.

it's hard to complain about this device, but here are my random ones:

1. yes, it is small and wonderful to one-handed read with, but _everyone_ around you notices you have a unique, small ereader in your palm. granted, maybe just reflects my self-consciousness. but until these are more ubiquitous, you'll be getting looks on the train/plane.

2. the whole "stick it on the back of your phone" idea is super silly and a bit of a gimmick at least:

2a. I don't want to make my expensive phone larger by volume and weight

2b. I do struggle to not fool around with my phone, and simply using "the back of the phone" is about the equivalent of being given a cigarette upside down as if that will stop me from smoking it.

3. after 14 years of Kindles, it's obvious how much better the eink tech is in premium devices (not a game changer at all, at most a nitpick)

yeah it's a super great device. I got it when prices were a bit lower a few months ago and it was a no-brainer. if you're really into reading and being thrifty/resourceful to get your ebooks, I'd check it out.

Thanks! Feel free to dm me here or use the contact email on the site to send any feedback/ideas.

Right now, no it doesn’t.

But it doesn’t access your actual email, it gives you an @audioreality.ai alias to send/forward messages to. So I would advise something like, please don’t create a blanket rule to forward all your emails to it.

Certainly better to create forwarding rules based on sender or subject/category/tag.

Would love any other feedback once you’re up and running!

The latest Opus routinely tells me the latest GPT Pro responses are much better. The GPT responses cost 10x more than GPT at least. And GPT takes 10’s of minutes. So unless and until I’m needing and ready for a really expensive “math checker” it gets left alone.

First amendment applies to citizens, not just “media organizations”. Serious contradiction between your major advocacy about protecting ICE and your minor hedge to avoid getting ghosted.

As a parent, I think people overestimate the average quality of pre-AI children’s content.

Also interesting to look beyond children’s work at the incredible amount of “book mill” content that has dominated publishing for hundreds of years.

We rightly celebrate the good ones, but most content before AI was not good. So not surprising that the AI trained on that corpus is of similar quality.

That being said, I think this is just an opportunity to improve AI content, which is a human/computer interface design challenge. This technology is here to stay. Our focus should be on detection and improving the LLMs.

I’ve had luck formalizing this into some post-LLM rules to clean crappy default AI content before I work with it: https://slopwash.com

I’m in the same boat. AI can gen better UI forms, and a database is a database is a database. Customers want MCP and API access to do their own thing on their own terms. Model co’s and folks like Palantir come in to “partner” but the writing is on the wall.

So what are we going to do about it? Genuinely up for a startup here.

I love this. It speaks to me in a similar ways as a lot of the AI zeitgeist—why shouldn’t we optimize for how the brain actually operates at scale versus hundreds-years-old ideas about ligatures designed for reading in candlelight? (In the AI case, a romanticism for having to learn and prove memory in such a rote way)

A little of a tangent, but I always thought it’d be cool to have certain libraries printed out in very high quality as posters. Redux was one example in particular—something very concise yet powerful and kind of worth admiring to that extent.

Intel as a store of value?

It’s easy to be cynical specifically in this case, when Elon has in the past very gleefully amplified AI fakes to drum up social sentiment

With all the lensing going on out there, is it possible for us to observe the light from our sun (and potentially our planet) billions of years ago?

A cool achievement would be, observe the moon/earth separation event(s)

This is true. Most of the potatoes eaten are valuable in caloric-deprived situations, but they are not a long-term healthy food due to the thrashing they do to insulin management.

These figures are for a very small number of potential people. This leaves out that frontier AI is being developed by an incredibly small number of extremely smart people who have migrated between big tech, frontier AI, and others.

Yes, the figures are nuts. But compare them to F1 or soccer salaries for top athletes. A single big name can drive billions in that context at least, and much more in the context of AI. $50M-$100M/year, particularly when some or most is stock, is rational.

The current product _must_ simply be a funding mechanism for whatever AI solution will ultimately define them. The idea that we’ll continue to have rigidly defined design mockups and specification seems relatively naive compared to generative UX defined by the user and their interaction preferences.

On the subject of LLMs and cats, I continue to find it disappointing that if you search for one of the leading AI services in the Apple App Store that they all seem to have centralized on images of cats in their first app screenshot as the most-converting image in that setting

Edit: a quick re-search shows they’ve differentiated a bit. But why are cats just the lowest common denominator? As someone who is allergic to them any cat reference immediately falls flat (personal problem, I know).

What a terrible website

given this is already happening with many other taxpayer funded datasets, will pretty on brand with this group

Novel content will continue to require human creators. So, if you are at the frontier of some idea space, whether that’s using Homebrew or baking brownies, your input will be rewarded to some extent. But, we won’t need 1000 different Medium blogs about installing Rails or 1000 baking websites pitching the same recipe but with a different family story at the top.

Yes, maybe a small amount of people ultimately contributing but if their input is truly novel and “true” then what’s the downside?

I get the downvotes, kind of omitting his qualification in the very first sentence.

but if this really interests you it seems like an obvious opportunity for something like “the 102 impossible drinks” or something. figure out the DIY recipes and go to YT