lancekey
Joined 9 years ago
Joined 9 years ago
Of course the model was dumber than GPT2 but still it was a great learning experience.
I think i saw videos of drones w loudspeakers or dropping flyers w a telegram QR code but I don’t have sources.
So, we will give these 3 or 4 trusted users access to an on-site chat interface to request updates.
Next, a dev environment is spun up, agent makes the changes, creates PR and sends branch preview link back to user.
Sort of an agent driven CMS for non-technical stakeholders.
Let’s see if it works.
It’s been a great way for me to better understand the cloud GPU industry, learn about data collection, normalization and use agentic coding to build a side project.
One thing I’m working on is distinguishing spot vs on demand prices and listing those separately. Also, including inference pricing for non-text AI models.
What features or data would you like to see me add next?
Your first two points jive with my intuition that an agents primaries should be a code execution sandbox, mounted files and git.
If you have any practical examples to share I’m sure a ton of people would appreciate it.
I personally have been enjoying shadeform to build the GPU setup I like.
A lot of demand out there for sure.
My goal is to better understand the economics of AI and make something useful in the process.
(Coming soon: kWh prices and robot prices)
Mostly built with claude code with a dash of codex.
A recent, useful unlock in the process has been a daily CC routine to check the health of the 53 price collectors in the project.