singlepaynews
Joined 3 years ago
Joined 3 years ago
Currently packaging as a windows desktop app, recording a demo video, and then distributing
I'm basically imagining a vast.ai type deployment of an on-prem GPT; assuming that most infra is consumer GPUs on consumer devices, the idea of running the "company cluster" as combined compute of the company's machines
In my experience chatGPT solves the challenge handily, but it does get to the level of problem that GPT requires my code review for, so either I'm not as good at using chat as I could be or they've found the point at which someone has to prove they can actually do code review to filter; nice.
Because LinkedIn is less effective than I'd like, I support 3rd parties scraping the data I posted there, again on the hope that they'd be more successful at marketing that data, which I would benefit from as the data is my resume.
ETA: Maybe most conservatively, let's use only the % uniquely included in U-6 and excluded in standard, or 14.4 million people. I'll claim these 14m people are the "gatekept from full employment" in that they don't qualify as narrowly unemployed unless you include "all people marginally attached to the labor force, plus total employed part time for economic reasons"(1)
Same question. 14m people who are being excluded from labor, are they not free to attempt to generate income via means other than labor, lest they suffer the judgement of Abraham?
In other words, is Abraham hiring? If not, are the people he refuses to employ meant to accept serfdom to preserve their soul?
(edit: "my" data, as in the data I post there.)
Location: Washington State, USA
Remote: on-site, hybrid, remote
Willing to relocate: Yes
Technologies:
- Programming Languages: Python, C/C++, JavaScript (Node.js, React), SQL, Bash, HTML/CSS- Frameworks & Libraries: Selenium, BeautifulSoup, Flask, Express.js, React, SemanticUI, MUI
- AI & Data Tools: PyTorch, llama.cpp, LoRA fine-tuning, Pandas, NumPy, Matplotlib
- Cloud & DevOps: AWS (EC2, RDS, SES, S3, Route 53), Docker, Kubernetes, Git, GitHub Actions, Tailscale, NixOS (yes, flake.nix is a DevOps tool.)
- Databases: PostgreSQL, MySQL, SQLite, MongoDB, DuckDB, RocksDB
- Automation & Scripting: RPA tools, PDF form automation, Web scraping, CLI utilities
- Systems & Platforms: NixOS, Linux, Windows, macOS, VirtualBox, FFmpeg
- Networking & Protocols: TCP/IP, Wi-Fi, Bluetooth/BLE, REST APIs, WebSockets
- Other Tools: PyInstaller, NSIS, Chrome WebDriver, PLC, FANUC, HMI, Oscilloscope, Function Generator
Résumé/CV: douglasmckinley.com
Email: [email protected]Can't find a way to get a key on your website or in your bio?
These docs are gonna be used in a product for medicare brokers (if you are/know one please reach out open enrollment starts Nov.1!), and the pipeline is horizontally scalable to ingest updated 2026 plans overnight @ start of open enrollment (though some companies are posting updated plans earlier)
There are some clever tricks at play but mostly it's bog-standard browser automation; I'm also in an interview process with 2 entities (one funded startup and one massive corporation) talking about web automation roles, and while it's frustrating that they're moving so slowly it's working out to give me time to build this well.
I don't think an LLM is required here; for a very significant subset of nixpkgs I think updating the configuration.nix is a deterministic process.
The machine is a collection of well organized rocks over which electrons pass. I am a human.
Google is a global corporation that turns cyberstalking into money. I am a human.
Lolz are the highest aspiration available to computers. God forbid I ever lost sight of that.