Earlier quoted context omitted.
Yeah, that was intentional, well, somewhat. The project requires the full list of every known city in the western hemisphere and also Japan, Korea, and Taiwan. But that dataset is just maddeningly large, if it is possible at all. Like, I expect it to take me years, as I have to do a lot of translations. So, I figured that I'd be nice and just as for the top 250 for the various models. There's a lot more data that we'…
If you have the data, but need to parse all of it, couldn’t you upload it to your LLM of choice (with a large enough context window) and have it finish your project?
Claude Integrations
231–240 of 266 posts
Re: Claude Integrations
#232Re: Claude Integrations
#233Earlier quoted context omitted.
Yeah, that was intentional, well, somewhat. The project requires the full list of every known city in the western hemisphere and also Japan, Korea, and Taiwan. But that dataset is just maddeningly large, if it is possible at all. Like, I expect it to take me years, as I have to do a lot of translations. So, I figured that I'd be nice and just as for the top 250 for the various models. There's a lot more data that we'…
Sounds like the you're having it conduct research and then solve the Knapsack problem for you on the collected data. We should do the same for the traveling salesman one. How do you validate its results in that scenario? Just take its word for it?
Re: Claude Integrations
#234The strategic business dynamic here is very interesting. We used to have "GPT-wrapper SaaS". I guess what we're about to see now is the opposite: "SaaS/MCP-wrapper GPTs".
The GPT wrappers were always going to be subsumed by improvements to the models themselves. LLMs wrapping the services makes more sense, as the data stored in those services adds a lot of value to off the shelf LLMs.
Re: Claude Integrations
#235Btw, that speaks to how important it is to get clear business requirements for work.
Re: Claude Integrations
#236Earlier quoted context omitted.
3.7 did score higher in coding benchmarks but in practice 3.5 is much better at coding. 3.7 ignores instructions and does things you didn't ask it to do.
3.7 is too overactive I prefer Gemini 2.5 pro for all code now
But Gemini is at least as overactive as Claude, sometimes even more overactive when it comes to something like comment spam.
Of course, this can be fixed with prompting. And sometimes it feels sheepish complaining about the machine god doing most of my chore work that didn't even exist a couple years ago.
Re: Claude Integrations
#237Earlier quoted context omitted.
Well I had half a mind to not tell them to see what they’d say, but I also was excited to show everyone so they can also be empowered with it. One of them said “yeah I was wondering cuz you never write that much” - as a leader, I actually don’t set a good example of how to leave quality JIRA comments. And my view with all these things is that I have to lead by example, not by orders. With the help of these kinds of t…
Someone please shoot me if my PM ever gets this idea in his head of using LLM slop to spam tickets with en masse. There's nothing I hate more than people sending me their AI messages, be it in a ticket or a PR or even on Slack. I'm forced to engage and spend effort on something it took them all of 3 seconds to generate without even proofreading what they're sending me says. The amount of times I've had to ask 11 clar…
Re: Claude Integrations
#238Earlier quoted context omitted.
My current hypothesis: the more familiar you are with a topic the worse the results from any LLM.
That is certainly the case in niche topics where published information is lacking, or needs common sense to synthesize proper outputs [1]. However in this specific example, I don't remember if it was chatgpt or gemini or 3.5 Haiku but the other(s) explained it well enough. I think I re-asked 3.5 Haiku at a later point of time, and to my complete non-surprise, it gave an answer that was quite decent. 1 - For example,…
I am a novice, maybe that's why I liked it.
Re: Claude Integrations
#239Earlier quoted context omitted.
I agree with your overall message - rapid growth appears to encourage competition and forces companies to put their best foot forward. However, unfortunately, I cannot shower much praise on Claude 3.7. And if you (or anyone) asks why - 3.7 seems much better than 3.5, surely? - Then I’m moderately sure that you use Claude much more for coding than for any kind of conversation. In my opinion, even 3.5 Haiku (which is a…
My current hypothesis: the more familiar you are with a topic the worse the results from any LLM.
Re: Claude Integrations
#240Had been planning a custom mcp for our orgs’ jira. I’m a bit skeptical that it’s gonna work out of the box because of the amount of custom fields that seem to be involved to make successful API requests in our case. But I would welcome, not having to solve this problem. Jira’s interface is among the worst of all the ticket tracking applications I have encountered. But, I have found using a LM conversation paired with…
You can also do the same thing locally: https://github.com/sooperset/mcp-atlassian Either with the cloude app, or some other system with any tool-using LLM you want.
I hadn't realized but the new integration seems to actually just be an official, closed-source MCP produced *by* Atlassian.
sooperset's MCP is MIT licensed, so I wonder how much of the Atlassian edition is just a lift of that.
There's a comment [1] on the actual integration page asking about custom fields, which I think is possibly a big issue.
At first I thought the open-source version would get crushed by an actual Atlassian release, but not if Atlassian doesn't offer all the support for it to work really well no matter what customizations are fitted into each instance.
My hypothesis is that it takes custom code to make this work, and using the off-the-shelf for Jira won't work. Hoping to be proven wrong though, as it would be less work for me on that front.
[1] https://community.atlassian.com/forums/Atlassian-Platform-ar...