clemlesne

6 ms·

1.
by clemlesne 1mo ago
I done a C2PA implementation for raw text, if that can ease someone’s life: https://github.com/dualeai/c2patxt
2.
Python implementation of C2PA text marking (C2PA 2.4 Annex A.8)(github.com)
1 points by clemlesne 1mo ago|1 comments
3.
by clemlesne 1mo ago
If that can help anyone to comply with the AI Act!
4.
Hpke-HTTP – End-to-end encrypt HTTP API bodies, even behind Cloudflare(github.com)
1 points by clemlesne 7mo ago|1 comments
5.
by clemlesne 7mo ago
TLS terminates at your CDN, load balancer, or WAF. After that point, request and response bodies are plaintexts. Cloudflare, AWS ALB, GCP -- they can all read your API payloads. For most production APIs, this is the reality. hpke-http adds
6.
by clemlesne 7mo ago
Did someone compared with uSearch ( https://github.com/unum-cloud/USearch )?
7.
Run untrusted code in VMs on Mac/Linux – 1-2ms warm start, domain filtering(github.com)
3 points by clemlesne 8mo ago|1 comments
8.
by clemlesne 8mo ago
I built exec-sandbox because I wanted VM-level isolation for AI-generated code on my Mac without running Linux in a VM first. Most sandboxes (E2B, Hopx) use https://firecracker-microvm.github.io/ , on macOS, you need nested
9.
by clemlesne 9mo ago
NATS is a fantastic piece of software. But doc’s unpractical and half backed. That’s a shame to be required to retro engineer the software from GitHub to know the auth schemes.
10.
by clemlesne 11mo ago
Project creator there. The biggest challenge in marketing this project to potential customers is not the fact that it does not work well, but the unions and human problems. It really marked me.
11.
by clemlesne 11mo ago
Funny because I written them myself at the time. Last year they were no really useful AI like CC!
12.
by clemlesne 11mo ago
Indeed. I’m the project creator. That’s standard legal notice we must add to these kind of “large” repos. If not a dev team should maintain it full time with security incidents response managed within a SLA, which is not the case there. The
13.
by clemlesne 11mo ago
Probably related to AWS outage. Are they infra not reliable enough? Do you think this kind of critical communication service should be deployed cross-provider?
14.
AI Conversation Context Extractor – Resume ChatGPT/Claude Chats Seamlessly(gist.github.com)
2 points by clemlesne 1y ago|1 comments
15.
by clemlesne 1y ago
I built this after getting frustrated switching between AI platforms and losing conversation context. It analyzes your ChatGPT/Claude exports and creates markdown files with comprehensive context that you can paste into any AI to conti
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OSINT Agent in ChatGPT(chatgpt.com)
1 points by clemlesne 1y ago|1 comments
17.
by clemlesne 1y ago
Feedbacks? Can share the prompt.
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DeepSearch 4 All – DeepThink exposed as a standard LLM and swappable back end(github.com)
2 points by clemlesne 1y ago|1 comments
19.
by clemlesne 1y ago
How do I consume it? Well, like a standard OpenAI API. That's literally the point!
20.
A shortcut for macOS/iOS to make meeting transcripts(gist.github.com)
1 points by clemlesne 2y ago|1 comments
21.
by clemlesne 2y ago
Enjoy
22.
Deploy reproductibly Azure DevOps agents in Kubernetes(github.com)
1 points by clemlesne 2y ago|1 comments
23.
by clemlesne 2y ago
Wanted to ease the maintenance process for Azure DevOps maintainers and give best practices for delivering reliable software. Eager for feedbacks!
24.
by clemlesne 2y ago
And thank you for the compliment! It's great to see that your efforts are seen and appreciated :)
25.
by clemlesne 2y ago
That's indeed in the roadmap, like you mentioned. My primary objective is to build a LLM chat tool based on open-source documentations. The project owner (and even more if it is OSS) is I think not responsible for that, the one using i
26.
by clemlesne 2y ago
I’m developing that in my free time because I think there is a need inside the community for that. I’m not motivated in any way by my company. In the meantime, if you have other technologies achieving the features (blob, queue, search), fee
27.
by clemlesne 2y ago
It saves page content, transform it to markdown, and import it (optionally) to a search database to perform semantic (sentences) searches.
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by clemlesne 2y ago
Well it solve basics problems like queuing and blob storage. For example, to achieve the same features as Queue Storage, you should use RabbitMQ or similar: in enterprise environment, it means multiple instances in high availability, mainte
29.
A web scraping CLI made for AI that is idempotent(github.com)
81 points by clemlesne 2y ago|31 comments
30.
Call Center AI – Microsoft – GitHub(github.com)
2 points by clemlesne 2y ago|0 comments

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