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Claude Integrations

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Re: Claude Integrations

#151

Post by Balgair »

sxg wrote: post #148
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…

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…

I think we have very different definitions of the word 'research' then.

I'd say that what you're saying is 'synthesis'. The 'Intro/Discussion' sections of a journal article.

For me, 'research' means the work of going through and getting all the data in the first place. Like, going out and collecting dino bones in the hot sun, measuring all the soil samples, etc. - that is research. For me, asking these models to go collate some webpages, I mean, you spend the first weeks of a summer undergrad's time to go do this kid of thing to get them used to the file systems and spruce up their organization skills, see where they are at. Writing the paper up, that's part of research sure, but not the hard part that really matters.

Re: Claude Integrations

#152

Post by sxg »

Balgair wrote: post #151
sxg wrote: post #148

Earlier quoted context omitted.

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…

I think we have very different definitions of the word 'research' then. I'd say that what you're saying is 'synthesis'. The 'Intro/Discussion' sections of a journal article. For me, 'research' means the work of going through and getting all the data in the first place. Like, going out and collecting dino bones in the hot sun, measuring all the soil samples, etc. - that is research. For me, asking these models to go c…

Agreed—we're working with different definitions of "research". The deep research products from OpenAI, Google Gemini, and Perplexity seem to be more aligned with my definition of research if that helps you gain more utility from them.

Re: Claude Integrations

#153

Post by risyachka »

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…

What are you talking about

It is literally stagnated for a year now

All that changed is they connect more apis.

And add a thinking loop with same model powering it

This is the reason it seems fast - nothing really happens except easy things

Re: Claude Integrations

#154

Post by bdd_pomerium »

This is very cool. Integrations look slick. Folks are understandably hyped—the potential for agents doing "deep research-style" work across broad data sources is real.

But the thread's security concerns—permissions, data protection, trust—are dead on. There is also a major authN/Z gap, especially for orgs that want MCP to access internal tools, not just curated SaaS.

Pushing complex auth logic (OAuth scopes, policy rules) into every MCP tool feels backwards.

* Access-control sprawl. Each tool reinvents security. Audits get messy fast.

* Static scopes vs. agent drift. Agents chain calls in ways no upfront scope list can predict. We need per-call, context checks.

* Zero-Trust principles mismatch. Central policy enforcement is the point. Fragmenting it kills visibility and consistency.

We already see the cost of fragmented auth: supply-chain hits and credential reuse blowing up multiple tenants. Agents only raise the stakes.

I think a better path (and in one in full disclosure, we're actively working on at Pomerium ) is to have:

* One single access point in front of all MCP resources.

* Single sign-on once, then short-lived signed claims flow downstream..

* AuthN separated from AuthZ with a centralized policy engine that evaluates every request, deny-by-default. Evaluation in both directions with hooks for DLP.

* Unified management, telemetry, audit log and policy surface.

I’m really excited about what MCP is putting us in the direction of being able to do with agents.

But without a higher level way to secure and manage the access, I’m afraid we’ll spend years patching holes tool by tool.

Re: Claude Integrations

#155

Post by tymscar »

risyachka wrote: post #153
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…

What are you talking about It is literally stagnated for a year now All that changed is they connect more apis. And add a thinking loop with same model powering it This is the reason it seems fast - nothing really happens except easy things

I totally agree with you, especially if you actually try using these models, not just looking at random hype posters on twitter or skewed benchmarks.

That being said, isn’t it strange how the community has polar opposite views about this? Did anything like this ever happen before?

Re: Claude Integrations

#156

Post by knowaveragejoe »

rafram wrote: post #68

Oh no, remote MCP servers. Security was nice while it lasted!

What makes a remotely hosted MCP server less secure? The alternative, and what most of MCP consists of at the moment, is essentially running arbitrary code on your machine, as your user, and hooking this up to an LLM.

Re: Claude Integrations

#157

Post by n_ary »

naravara wrote: post #95
n_ary wrote: post #30

Is this the beginning of the apps for everything era and finally the SaaS for your LLM begins? Initially we had internet but value came when instead of installed apps, webapps arrived to become SaaS. Now if LLMs can use specific remote MCP which is another SaaS for your LLM, the remote MCP powered service can charge a subscription to do wonderful things and voila! Let the new golden age of SaaS for LLMs begin and the…

On one hand, yes this is very cool for a whole host of personal uses. On the other hand giving any company this level of access to as many different personal data sources as are out there scares the shit out of me. I’d feel a lot better if we had something resembling a comprehensive data privacy law in the United States because I don’t want it to basically be the Wild West for anyone handling whatever personal info d…

It took many years for online tracking, iframes, sticky cookies and cambridge analytics before things like GDPR came into existence. We have to similarly wait a few years before similar major leaks happen through LLM pipelines/integrations. Sadly, that is the reality we live with.

Re: Claude Integrations

#158

Post by garrickvanburen »

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…

My current hypothesis: the more familiar you are with a topic the worse the results from any LLM.

Re: Claude Integrations

#159

Post by wyre »

Balgair wrote: post #150
85392_school wrote: post #135

Earlier quoted context omitted.

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'…

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?

Re: Claude Integrations

#160

Post by jimbokun »

n_ary wrote: post #157
naravara wrote: post #95

Earlier quoted context omitted.

On one hand, yes this is very cool for a whole host of personal uses. On the other hand giving any company this level of access to as many different personal data sources as are out there scares the shit out of me. I’d feel a lot better if we had something resembling a comprehensive data privacy law in the United States because I don’t want it to basically be the Wild West for anyone handling whatever personal info d…

It took many years for online tracking, iframes, sticky cookies and cambridge analytics before things like GDPR came into existence. We have to similarly wait a few years before similar major leaks happen through LLM pipelines/integrations. Sadly, that is the reality we live with.

The question is whether or not it happens before the emergence of Skynet.
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