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

41–50 of 266 posts

Re: Claude Integrations

#43

Post by ketzo »

boh wrote: post #8

I think all the retail LLM's are working to broaden the available context, but in most practical use-cases it's having the ability to minimize and filter the context that would produce the most value. Even a single PDF with too many similar datapoints leads to confusion in output. They need to switch gears from the high growth, "every thing is possible and available" narrative, to one that narrows the scope. The "hal…

I mean, to be honest, they gotta do both to achieve what they’re aiming for.

A truly useful AI assistant has context on my last 100,000 emails - and also recalls the details of each individual one perfectly, without confusion or hallucination.

Obviously I’m setting a high bar here; I guess what I’m saying is “yes, and”

Re: Claude Integrations

#44

Post by pton_xd »

"To start, you can choose from Integrations for 10 popular services, including Atlassian’s Jira and Confluence, Zapier, Cloudflare, Intercom, Asana, Square, Sentry, PayPal, Linear, and Plaid. ... Each integration drastically expands what Claude can do."

Give us an LLM with better reasoning capabilities, please! All this other stuff just feels like a distraction.

Re: Claude Integrations

#45

Post by edaemon »

Lots of reported security issues with MCP servers seemed to be mitigated by their local-only setup. These MCP implementations are remotely accessible, do they address security differently?

Re: Claude Integrations

#46

Post by throwup238 »

zoogeny wrote: post #40

I'm curious what kind of research people are doing that takes 45 minutes of LLM time. Is this a poke at the McKinsey consultant domain? Perhaps I am just frivolous with my own time, but I tend to use LLMs in a more iterative way for research. I get partial answers, probe for more information, direct the attention of the LLM away from areas I am familiar and towards areas I am less familiar. I feel if I just let it lo…

That iterative research process is exactly how I use Google Deep Research since it has a 20/day rate limit. Research a problem, notice some off hand assumption or remark the report made, and fire off another research run asking about it. It depends on what you work on; in my use case I often have to do hours of research for 30 minutes of work like when integrating a bunch of different vendors’ APIs or pouring over datasheets for EE, so it’s worth firing off research and then working on something else for 10-20 minutes (it helps that the Gemini app fires off a push notification when the report is done - Anthropic please do this! Even for requests made from the web app).

As for long research times, one thing I’ve been using it for is historical research on old books. Gemini DeepResearch was the first one able to properly explain the nuances of identifying a chimeral first edition Origin of Species after taking half an hour and reading 400 sources. It went into all the important details like spelling errors and the properties of chimeral FY2** copies found in various libraries around the world.

Re: Claude Integrations

#48

Post by indigodaddy »

So any chat to Claude will now just auto-activate web search to be included? What if I try to use it just as a search engine exclusively? Also will proxies like Openrouter have access to the web search capabilities?

Re: Claude Integrations

#49

Post by Centigonal »

pton_xd wrote: post #44

"To start, you can choose from Integrations for 10 popular services, including Atlassian’s Jira and Confluence, Zapier, Cloudflare, Intercom, Asana, Square, Sentry, PayPal, Linear, and Plaid. ... Each integration drastically expands what Claude can do." Give us an LLM with better reasoning capabilities, please! All this other stuff just feels like a distraction.

Building integrations is a more predictable way of developing a smaller competitive advantage versus research. I think most of the leading AI companies are adopting a multi-arm strategy of research + product/ecosystem development to balance their risks.
Post reply on HN