Pro-tip: You won't ever do that.
we do
Readit NewsalooPotato commented on 95% of Companies See 'Zero Return' on $30B Generative AI Spend thedailyadda.com/95-of-co... · Posted by u/speckx
alooPotato commented on 95% of Companies See 'Zero Return' on $30B Generative AI Spend thedailyadda.com/95-of-co... · Posted by u/speckx
Pro-tip: don't write the summary at all until you need it for evidence. Store the call audio at 24Kb/s Opus - that's 180KB per minute. After a year or whatever, delete the oldest audio.
There, I've saved you more millions.
you want to be able to search over summaries so you need to generate them right away
alooPotato commented on Blood oxygen monitoring returning to Apple Watch in the US apple.com/newsroom/2025/0... · Posted by u/thm
Apple was in a patent dispute over this feature with Massimo. Their workaround is to calculate blood oxygen on the iPhone, using the sensors from Apple Watch.
The Apple Watch hardware is otherwise the same. The back of the watch shines light of a specific wavelength into your skin and measures the reflected light. Heart rate sensing uses green (525 nm) and infrared (850–940 nm) light; blood oxygen sensing added a red light at 660 nm in 2020.
The iPhone will now calculate the ratio of absorbed red to infrared light, then apply calibration constants from experimental data to estimate blood oxygen saturation.
More detailed writeup on how the technology works is here: https://www.empirical.health/metrics/oxygen/
I wonder if they could take it one step further. Do the measurements on the watch, do the calculation on the iPhone, send the results back to the watch for display. Technically all the work is done on the iPhone and the watch is just the IO device.
alooPotato commented on ScreenCoder: An intelligent UI-to-code generation system github.com/leigest519/Scr... · Posted by u/Dowwie
At my org we have been using the Figma MCP server to generate code from Figma designs. Spent about a day writing rules to keep the AI on guardrails but it's been very smooth sailing since then and any generated code needs minimal changes.
Ohh nice can you say more? Do you somehow map your Figma components to React components?
And now, because it costs you absolutely nothing, why not just have the bots waste hours of other peoples' time calling every possible place to get the best possible result for you?
At least when you had to make the calls yourself, there was a limit to how many minutes of other people's time you could waste.
This is a massive negative externality.
It's not my fault the business chooses to make reservations with phone only. If they want more efficiency they can do online bookings - my agent will have an easier time too.
One thing to make it less annoying for the human on the other end is if the AI just talked a little faster and responded a little faster. Also the the final few few seconds is so cringe where the AI always wants to have the last word. Can you make that last part of the interaction go faster? I would never have 3-4 back and forths on thank yous and good byes.
Nobody wants any of this...
This is almost as bad as all of the AI powered resume skimming tools / applicant submission tools. It just makes it impossible for anyone to apply for a job.
AI is for people and it's only being used to kick people onto the street and profit.
I want this. I would love to save the 10 mins of calling around to diff places to check availability.
alooPotato commented on From OpenAPI spec to MCP: How we built Xata's MCP server xata.io/blog/built-xata-m... · Posted by u/tudorg
i really dont get why we cant just feed the openapi spec to the LLM instead of having this intermediate MCP representation. Don't really buy the whole 'the api docs will overwhelm an LLM" - that hasn't been my experience.
Good speech. It makes me think of why the rich get richer though. More access to more types of people earlier and throughout one's life.
The best thing to give kids is access to a very wide—as wide as they can stomach—orientation of all there is in the world. It's not curation, it's not "the best". it's volume and contrasts.
I debate my friends about private school. they have kids, I don't yet. Private school is actually a narrow lens, is my argument.
Agree that a wide diversity of people is great. Disagree on the private school - it is a narrow band, but so is public school. I think ppl overestimate the diversity in public school and underestimate it in private school.
Neither is enough - def need to find ways to expand kids network, especially the network of adults they know.
> So anything that can let you iterate the loop faster is good.
I think the major objection is that you only want to automate real tedium, not valuable deliberation. Letting an llm drive too much of your development loop guarantees you don't discover the things you need to unless the model does by accident, and in that case it has still trained you to be a tiny bit lazier and stolen an insight you would have otherwise had yourself, so are you really better off?
This is a confusion that comes up often - 100% agree with chat-in-the-loop style interfaces. That slows me down way too much and its too hard to fix when it inevitably gets something wrong.
I'm mostly talking about Cursor Tab - the souped up autocomplete. I think its the perfect interface, it monitors what I type and guesses my intention (multiline autocomplete, and guessing which line I'm going to next).
It lets me easily parse if the LLM is heading in the right direction, in which case pressing tab speeds up the tedium. If its wrong, I just keep typing till it understands what I'm trying to do. It works really really well for me.
I went back to using a non-LLM editor for a bit and I was shocked at how much I had become dependent on it. It was like having an editor that didn't understand types and didn't autocomplete function names. I guess if you're a purist and never used any IDE functionality, then this also wouldn't be for you. But for me, its so much better of an experience.