Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

Claude Integrations

anthropic.com

Post reply on HN
Print view View original

141–150 of 266 posts

Re: Claude Integrations

#141

Post by tiberriver256 »

user_7832 wrote: post #26
throwup238 wrote: post #16

The leap frogging at this point is getting insane (in a good way, I guess?). The amount of time each state of the art feature gets before it's supplanted is a few weeks at this point. LLMs were always a fun novelty for me until OpenAI DeepResearch which started to actually come up with useful results on more complex programming questions (where I needed to write all the code by hand but had to pull together lots of d…

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…

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.

Re: Claude Integrations

#142

Post by greymalik »

throwup238 wrote: post #16

The leap frogging at this point is getting insane (in a good way, I guess?). The amount of time each state of the art feature gets before it's supplanted is a few weeks at this point. LLMs were always a fun novelty for me until OpenAI DeepResearch which started to actually come up with useful results on more complex programming questions (where I needed to write all the code by hand but had to pull together lots of d…

Out of curiosity - can you give any examples of the programming questions you are using deep research on? I’m having a hard time thinking of how it would be helpful and could use the inspiration.

Re: Claude Integrations

#143

Post by dmarble »

meander_water wrote: post #139

Looks like this is possible due to the relatively recent addition of OAuth2.1 to the MCP spec [0] to allow secure comms to remote servers. However, there's a major concern that server hosters are on the hook to implement authorization. Ongoing discussion here [1]. [0] https://modelcontextprotocol.io/specification/2025-03-26 [1] https://github.com/modelcontextprotocol/modelcontextprotocol...

Direct link to the spec page on authorization: https://modelcontextprotocol.io/specification/2025-03-26/bas...

Source: https://github.com/modelcontextprotocol/modelcontextprotocol...

Re: Claude Integrations

#144

Post by xrdegen »

ilrwbwrkhv wrote: post #31
throwup238 wrote: post #16

The leap frogging at this point is getting insane (in a good way, I guess?). The amount of time each state of the art feature gets before it's supplanted is a few weeks at this point. LLMs were always a fun novelty for me until OpenAI DeepResearch which started to actually come up with useful results on more complex programming questions (where I needed to write all the code by hand but had to pull together lots of d…

None of those reports are any good though. Maybe for shallow research, but I haven't found them deep. Can you share what kind of research you have been trying there where it has done a great job of actual deep research.

It is because you are just such a genius that already knows everything unlike us stupid people that find these tools amazingly useful and informative.

Re: Claude Integrations

#145

Post by spacebanana7 »

tjsk wrote: post #137
freewizard wrote: post #119

Earlier quoted context omitted.

I would expect Slack do this. Maybe Slack and Claude should merge one day, given MS and Google has their own core models.

Slack is owned by Salesforce which is doing its own Agentforce stuff

Salesforce loves acquisitions. I can already picture Benioff’s victory speech on CNBC.

Re: Claude Integrations

#146

Post by pglevy »

WillAdams wrote: post #17
xnx wrote: post #6

Integrations are nice, but the superpower is having an AI smart enough to operate a computer/keyboard/mouse so it can do anything without the cooperation/consent of the service being used. Lots of people are making moves in this space (including Anthropic), but nothing has broken through to the mainstream.

Or even access multiple files? Why can't one set up a prompt, test it against a file, then once it is working, apply it to each file in a folder in a batch process which then provides the output as a single collective file?

I've been using Claude Desktop with built-in File MCP to run operations on local files. Sometimes it will do things directly but usually it will write a Python script. For example: combine multiple.md files into one or organize photos into folders.

I also use this method for doing code prototyping by giving it the path to files in the local working copy of my repo. Really cool to see it make changes in a vite project and it just hot reloads. Then I make tweaks or commit changes as usual.

Re: Claude Integrations

#147

Post by cwillu »

xrdegen wrote: post #144
ilrwbwrkhv wrote: post #31

Earlier quoted context omitted.

None of those reports are any good though. Maybe for shallow research, but I haven't found them deep. Can you share what kind of research you have been trying there where it has done a great job of actual deep research.

It is because you are just such a genius that already knows everything unlike us stupid people that find these tools amazingly useful and informative.

The failure mode is that people unfamiliar with a subject aren't able to distinguish careful analysis from bullshit. However the second failure mode where someone pointing that out is assumed to be calling people stupid is a longstanding wetware bug.

Re: Claude Integrations

#148

Post by sxg »

Balgair wrote: post #132
ilrwbwrkhv wrote: post #31

Earlier quoted context omitted.

None of those reports are any good though. Maybe for shallow research, but I haven't found them deep. Can you share what kind of research you have been trying there where it has done a great job of actual deep research.

I'm echoing this sentiment. Deep Research hasn't really been that good for me. Maybe I'm just using it wrong? Example: I want the precipitation in mm and monthly high and low temperature in C for the top 250 most populous cities in North America. To me, this prompt seems like a pretty anodyne and obvious task for Deep Research. It's long, tedious, but mostly coming from well structured data sources (wikipedia) across…

That's actually not what deep research is for, although you can obviously use it however you like. Your query is just raw data collection—not research. Deep research is about exploring a topic primarily with academic and other high-quality sources. It's a starting point for your own research. Deep research creates a summary report in ~10 min from more sources than you could probably read in a month, and then you can steer the conversation from there. Alternatively, you can just use deep research's sources as a reading list for yourself so you can do your own analysis.

Re: Claude Integrations

#149

Post by the_clarence »

nilslice wrote: post #126
the_clarence wrote: post #113

Been playing with MCP in the last few days and it's basically a more streamlined way to define tools/function calls. That + the agent SDK of openAI makes creating agentic flow so easy. On the other hand you're kinda forced to run these tools / MCP servers in their own process which makes no sense to me.

you might like mcp.run, a tool management platform we're working on... totally agree running a process per tool, with all kinds of permissions is nonsensical - and the move to "remote MCP" is a good one! but, we're taking it a step (or two) further, enabling you to dynamically build up a MCP server from other servers managed in your account with us. try it out, or let me get you a demo! this goes for any casual comme…

I meant I wanted to run them synchronously in the same process :)

Re: Claude Integrations

#150

Post by Balgair »

85392_school wrote: post #135
Balgair wrote: post #132

Earlier quoted context omitted.

I'm echoing this sentiment. Deep Research hasn't really been that good for me. Maybe I'm just using it wrong? Example: I want the precipitation in mm and monthly high and low temperature in C for the top 250 most populous cities in North America. To me, this prompt seems like a pretty anodyne and obvious task for Deep Research. It's long, tedious, but mostly coming from well structured data sources (wikipedia) across…

The funny thing is that if your request only needed the top 100's temperature or the top 33's precipitation, it could just read "List of cities by average temperature" or "List of cities by average precipitation" and that would be it, but the top 250 requires reading 184x more pages. My perspective on this is that if Deep Research can't do something, you should do it yourself and put the results on the internet. It'l…

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're trying to get too and I'm hoping that I can get approval to post it as its a work thing.

Post reply on HN