clharman

4 ms·

1.
by clharman 8mo ago
Correct!
2.
by clharman 8mo ago
I'm not sure it's astroturfed exactly; but the hype is not coming from technical professionals. Like you find a linkedin post with a thousand likes about this or similar projects, and everybody is either #opentowork or ~~Agentic H
3.
by clharman 1y ago
Pretty sure they are still losing money on it, which is great for us. And these limits wouldn't even be happening if there weren't people bragging about having their CC running constantly for 30 hours writing 2 million lines of (d
4.
Show HN: "Computer use" mcp for webapps and Electron apps(github.com)
2 points by clharman 1y ago|0 comments
5.
Web-Based Config Interface for Claude Code, Codex, Gemini CLI(github.com)
3 points by clharman 1y ago|1 comments
6.
Self-Improving CLI Agents in 5 minutes(colinharman.substack.com)
3 points by clharman 1y ago|0 comments
7.
Open Source Webapps for LLM/Rag Chatbots(github.com)
3 points by clharman 3y ago|0 comments
8.
Use Cases for Enterprise LLMs(colinharman.substack.com)
3 points by clharman 3y ago|0 comments
9.
by clharman 3y ago
For serious implementations, frameworks are not very helpful, even LangChain. All the components provide good SDKs/APIs, having a bunch of "integrations" doesn't add any real value. If you know what you want to build, bu
10.
by clharman 3y ago
Vector is better for some use cases (open-domain, more conversational data) and term-based search is better for others (closed-domain, more keyword-based). I've found that internal enterprise projects tend to be very keyword based, and
11.
by clharman 3y ago
You need a vector db because all the vector db companies need customers... You definitely do need information retrieval. It just shouldn't be limited to vector dbs. Unfortunately vector db companies and the VCs that back them have floo
12.
by clharman 3y ago
Yeah that exact use case keeps coming up in my work - populating forms or structured documents based on retrievable information is possibly the best broad enterprise application category in terms of bang for buck!
13.
by clharman 3y ago
Interesting that now, in contrast, startups are desperate to claim any specificity at all for differentiation, with the general solutions being so powerful
14.
With LLMs, enterprise data is different(colinharman.substack.com)
19 points by clharman 3y ago|4 comments
15.
by clharman 3y ago
@rafaelero I'm working on a blogpost ( https://colinharman.substack.com/ ) to demonstrate this fact since I get a lot of tiresome questions like "why don't you just train instead of retrieving" Do you have
16.
by clharman 3y ago
Vector search is not always the right tool. So why do VCs pretend that it is?