Readit NewsI'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.
The unemployment rate in the US is 4.3%.
Before you say anything, the U-6 rate is 8.1%.
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?
For most people the dangers of openness (see Cambridge Analytica), the lack of upside and the lack of security in small players mean that walled gardens are the best solution for the majority of people.
This lawsuit is exactly why people trust walled gardens to keep their data walled off. Because I trusted LinkedIn, not ProAPI and whatever malicious actors they sell to.
(edit: "my" data, as in the data I post there.)
Location: Washington State, USA
Remote: on-site, hybrid, remote
Willing to relocate: Yes
Technologies:
- 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: mail@cadocary.com
Currently packaging as a windows desktop app, recording a demo video, and then distributing