Have you ever worked in a corporation? Do you really think that Windows 8 UI was the fruit of years of careful design? What about Workday?
> but it is bizarre that so many businesses seem to be discarding battle tested UXes for chatbots
Not really. If the chatbot is smart enough then chatbot is the more natural interface. I've seen people who prefer to say "hey siri set alarm clock for 10 AM" rather than use the UI. Which makes sense, because language is the way people literally have evolved specialized organs for. If anything, language is the "battle tested UX", and the other stuff is temporary fad.
Of course the problem is that most chatbots aren't smart. But this is a purely technical problem that can be solved within foreseeable future.
I don't think it's necessary to resort to evolutionary-biology explanations for that.
When I use voice to set my alarm, it's usually because my phone isn't in my hand. Maybe it's across the room from me. And speaking to it is more efficient than walking over to it, picking it up, and navigating to the alarm-setting UI. A voice command is a more streamlined UI for that specific task than a GUI is.
I don't think that example says much about chatbots, really, because the value is mostly the hands-free aspect, not the speak-it-in-English aspect.
Definitely agree with others that Slack needs a richer selection of notification mechanisms, both for new content in channels and for mentions. For mentions, there's no level between "I demand immediate attention from this person" and "the characters that make up this person's name happen to be in the text of my message."
It's the same as asking a person to double check; it works because the models know different things. The next step would be to use a lightweight model to automate the ensembling...
How do you tell if it's actually stating the reasoning that got it to its answer originally, as opposed to constructing a plausible-sounding explanation after the fact? Or is the goal just to see if it detects mistakes, rather than to actually get it to explain how it arrived at the answer?
Last time I was in China drivers simply go through four way intersections at top speed from all directions simultaneously. If you are a pedestrian I hope you're good at frogger because there is a 0% chance anyone will stop for you. I really wonder how self driving cars work because they must program some kind of insane software that ignores all laws or it wouldn't even be remotely workable.
Then I came back to the US and forgot to switch back to US-style street crossing behavior at first. No physical harm done, but I was very embarrassed when people slammed on their brakes at the sight of me in the middle of the road.
Yeah – the key thing here is that there is work to be done on the server, so JJ likely either needs its own forge or a GitHub App that handles managing PRs for each JJ commit.
I'm a huge fan of the JJ paradigm – this is something I'd love for us to be able to do in the future once one or both of: - we have more bandwidth to go down this road - JJ is popular enough that its worthwhile for us to do
That said I'd also love to see if anyone in the community comes up with an elegant GH app for this!!
Ironic, since if there are a bunch of people in my boat, the lack of us in jj's user base will make it that much harder for jj to cross the "popular enough to be worth supporting" threshold.
Through my attempts, I've been told they don't really do adult adhd diagnoses without documentation of issues as a kid. I was recommended Wellbutrin to deal with symptoms in 2017. Got onto adderall when I moved health insurance in 2021. Back to Kaiser in 2024, I was routed to the same psychiatrist who once again wouldn't budge on adderall and once again recommended Welbutrin.
I used an online clinic to get my assessment (which I understand isn't taken seriously) which is what she cited. I asked what aspect of the assessment documentation did she think left me unqualified and she cited marijuana use in 2016. I asked her how she squares the fact that I'm an adult professional that makes comparable money to her, I have experience using both wellbutrin and adderall and see the former doing nothing and the latter helping, there's hundreds of times more evidence for adderall efficacy vs the flakey data on wellbutrin... She responded with something like: "I believe in my heart of hearts that what I am doing is right".
I thought the entire situation was kind of insane. Further research into the person makes me think they're a bit of a loon.
I was diagnosed by a non-Kaiser psychiatrist I found on my own. After trying different prescriptions, we eventually settled on Concerta. I stayed on that (and continued seeing the same psychiatrist, whose service I paid for out of pocket) for about 4 years.
Then my psychiatrist had some family stuff come up and had to move out of California. Since she was no longer going to be licensed here, she couldn't keep prescribing my meds to me. But she was able to write a letter describing my situation and laying out how she'd arrived at the prescription I was on, with particular emphasis on the fact that she hadn't seen any evidence of misuse on my part. I gave that letter to my Kaiser primary care doctor, who agreed to take over the prescription. After that I was able to get my meds from Kaiser each month without any issues.
I imagine this kind of setup depends on your primary care doctor; I may have just gotten lucky with mine.
It works by estimating the difficulty of English sentences, then translating ones at your level into your target language.
I'm curious what determines whether or not you add a given language to the list. DeepL and Claude, at least, have usable translation ability in more languages than the app currently supports. Is there a lot of manual effort required for each language, or do you want to keep the list limited just to avoid overwhelming users?
Nearly every piece of code I write at work is part of one of those public, Apache-licensed code bases. Which means I spend most of my time working on OSS.
Are these projects the kind of thing anyone else will ever use? Probably not, so long as the company stays in business. The business case my team made was focused on transparency and long-term viability: our customers can see exactly what we're doing with their data and how our systems work, and if we go under, they have a realistic way to continue using our software. This hasn't ended up being a huge selling point, but customers have definitely mentioned it as one of the things they liked about us.